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Volume 39(4); August 2015
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Reviews
Glycemic Variability: How Do We Measure It and Why Is It Important?
Sunghwan Suh, Jae Hyeon Kim
Diabetes Metab J. 2015;39(4):273-282.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.273
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AbstractAbstract PDFPubReader   

Chronic hyperglycemia is the primary risk factor for the development of complications in diabetes mellitus (DM); however, it is believed that frequent or large glucose fluctuations may independently contribute to diabetes-related complications. Postprandial spikes in blood glucose, as well as hypoglycemic events, are blamed for increased cardiovascular events in DM. Glycemic variability (GV) includes both of these events; hence, minimizing GV can prevent future cardiovascular events. Correcting GV emerges as a target to be pursued in clinical practice to safely reduce the mean blood glucose and to determine its direct effects on vascular complications in diabetes. Modern diabetes management modalities, including glucagon-related peptide-1-based therapy, newer insulins, modern insulin pumps and bariatric surgery, significantly reduce GV. However, defining GV remains a challenge primarily due to the difficulty of measuring it and the lack of consensus regarding the optimal approach for its management. The purpose of this manuscript was not only to review the most recent evidence on GV but also to help readers better understand the available measurement options and how the various definitions relate differently to the development of diabetic complications.

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  • Evaluation of Effects of Continuous Glucose Monitoring on Physical Activity Habits and Blood Lipid Levels in Persons With Type 1 Diabetes Managed With Multiple Daily Insulin Injections: An Analysis Based on the GOLD Randomized Trial (GOLD 8)
    Thomas Nyström, Erik Schwarz, Sofia Dahlqvist, Magnus Wijkman, Magnus Ekelund, Helen Holmer, Jan Bolinder, Jarl Hellman, Henrik Imberg, Irl B. Hirsch, Marcus Lind
    Journal of Diabetes Science and Technology.2024; 18(1): 89.     CrossRef
  • Washed microbiota transplantation reduces glycemic variability in unstable diabetes
    Yangyang Li, Qing Liu, Lingyu Zhang, Jing Zou, Rongbo He, Ying Zhou, Chen Qian, Yuxiao Zhu, Rourou Chen, Ying Zhang, Pengpeng Cai, Miao Wang, Wei Shao, Minjun Ji, Hao Wu, Faming Zhang, Zejian Liu, Yu Liu
    Journal of Diabetes.2024;[Epub]     CrossRef
  • Glycemic variability: Measurement, target, impact on complications of diabetes and does it really matter?
    Yifei Mo, Jingyi Lu, Jian Zhou
    Journal of Diabetes Investigation.2024; 15(1): 5.     CrossRef
  • Statistical Packages and Algorithms for the Analysis of Continuous Glucose Monitoring Data: A Systematic Review
    Mikkel Thor Olsen, Carina Kirstine Klarskov, Arnold Matovu Dungu, Katrine Bagge Hansen, Ulrik Pedersen-Bjergaard, Peter Lommer Kristensen
    Journal of Diabetes Science and Technology.2024;[Epub]     CrossRef
  • Insulin pump treatment vs. multiple daily insulin injections in patients with poorly controlled Type 2 diabetes mellitus: a comparison of cardiovascular effects
    Saverio Tremamunno, Linda Tartaglione, Alessandro Telesca, Alessandro Rizzi, Tamara Felici, Francesco Mazzotta, Antonio De Vita, Emanuele Rizzo, Nello Cambise, Antonietta Belmusto, Dario Pitocco, Gaetano Antonio Lanza
    Endocrine.2024; 84(1): 128.     CrossRef
  • To What Extent Is HbA1c Associated with Glycemic Variability in Patients with Type 1 Diabetes? A Retrospective, Noninterventional Study
    Sandra Lazar, Ioana Ionita, Delia Reurean-Pintilei, Romulus Timar, Silvia Ana Luca, Bogdan Timar
    Journal of Clinical Medicine.2024; 13(2): 450.     CrossRef
  • Short-term glycemic variability in non-diabetic, non-obese dogs assessed by common glycemic variability indices
    Tobias Urbanschitz, Lukas Huber, Alexander Tichy, Iwan Anton Burgener, Florian Karl Zeugswetter
    Research in Veterinary Science.2024; 169: 105156.     CrossRef
  • Enhancement of Ambulatory Glucose Profile for Decision Assistance and Treatment Adjustments
    V. K. R. Rajeswari Satuluri, Vijayakumar Ponnusamy
    Diagnostics.2024; 14(4): 436.     CrossRef
  • Glycemic variability assessed using continuous glucose monitoring in individuals without diabetes and associations with cardiometabolic risk markers: A systematic review and meta-analysis
    Anna Hjort, David Iggman, Fredrik Rosqvist
    Clinical Nutrition.2024; 43(4): 915.     CrossRef
  • Oral metformin for type-2 diabetes mellitus treatment in a black-tufted marmoset (Callithrix penicillata)
    Janyni Duz, Lívia E. Surita, Letícia Machado, Priscila M.D. Costa, Bruna S. Machado, Stella F. Valle, Marcelo M. Alievi, Álan G. Pöppl
    Pesquisa Veterinária Brasileira.2024;[Epub]     CrossRef
  • A low-glucose eating pattern is associated with improvements in glycemic variability among women at risk for postmenopausal breast cancer: an exploratory analysis
    Michelle R. Jospe, Yue Liao, Erin D. Giles, Barry I. Hudson, Joyce M. Slingerland, Susan M. Schembre
    Frontiers in Nutrition.2024;[Epub]     CrossRef
  • Glycemic Variability as a Predictor of Graft Failure Following Infrainguinal Bypass for Peripheral Arterial Disease: A Retrospective Cohort Study
    Daniel J. Farndon, Philip C. Bennett, Ian Nunney, Ketan Dhatariya
    Annals of Vascular Surgery.2024; 105: 132.     CrossRef
  • Investigation of the hypoglycemic mechanism of the ShenQi compound formula through metabonomics and 16S rRNA sequencing
    Juan Gao, Xiujuan Zhou, Hong Gao, Guiping Xu, Chunguang Xie, Hongyan Xie
    Frontiers in Pharmacology.2024;[Epub]     CrossRef
  • Insulin Titration Guidelines for Patients With Type 1 Diabetes: It Is About Time!
    John Walsh, Ruth Roberts, Timothy S. Bailey, Lutz Heinemann
    Journal of Diabetes Science and Technology.2023; 17(4): 1066.     CrossRef
  • A randomised crossover trial: Exploring the dose–response effect of carbohydrate restriction on glycaemia in people with well‐controlled type 2 diabetes
    Ebaa Al‐Ozairi, Al Awadi Reem, Abeer El Samad, Etab Taghadom, Jumana Al‐Kandari, Muhammad Abdul‐Ghani, Nick Oliver, Brandon Whitcher, Nicola Guess
    Journal of Human Nutrition and Dietetics.2023; 36(1): 51.     CrossRef
  • Monitoring of continuous subcutaneous insulin infusion treatment in Portugal and its implications for diabetes management
    Ana Rita Figueiredo, Tânia Matos, Sónia do Vale
    Hormones.2023; 22(1): 87.     CrossRef
  • A composite measure of sleep health is associated with glycaemic target achievement in young adults with type 1 diabetes
    Stephanie Griggs, Grant Pignatiello, Ronald L. Hickman
    Journal of Sleep Research.2023;[Epub]     CrossRef
  • Comparison of Point-of-Care and Laboratory Glycated Hemoglobin A1c and Its Relationship to Time-in-Range and Glucose Variability: A Real-World Study
    Ayman Al Hayek, Wael M Alzahrani, Samia H Sobki, Abdulghani H Al-Saeed, Mohamed Al Dawish
    Cureus.2023;[Epub]     CrossRef
  • HIF-1α accumulation in response to transient hypoglycemia may worsen diabetic eye disease
    Chuanyu Guo, Monika Deshpande, Yueqi Niu, Isha Kachwala, Miguel Flores-Bellver, Haley Megarity, Taylor Nuse, Savalan Babapoor-Farrokhran, Michael Ramada, Jaron Sanchez, Neelay Inamdar, Thomas V. Johnson, Maria Valeria Canto-Soler, Silvia Montaner, Akrit S
    Cell Reports.2023; 42(1): 111976.     CrossRef
  • Machine Learning–Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study
    Nicholas Berin Chan, Weizi Li, Theingi Aung, Eghosa Bazuaye, Rosa M Montero
    JMIR AI.2023; 2: e45450.     CrossRef
  • Continuous Glucose Monitoring in Dogs and Cats
    Francesca Del Baldo, Federico Fracassi
    Veterinary Clinics of North America: Small Animal Practice.2023; 53(3): 591.     CrossRef
  • Hypoglycemia and glycemic variability of people with type 1 diabetes with lower and higher physical activity loads in free-living conditions using continuous subcutaneous insulin infusion with predictive low-glucose suspend system
    Denise Montt-Blanchard, Raimundo Sánchez, Karen Dubois-Camacho, Jaime Leppe, María Teresa Onetto
    BMJ Open Diabetes Research & Care.2023; 11(2): e003082.     CrossRef
  • In vivo photoacoustic monitoring of vasoconstriction induced by acute hyperglycemia
    Joongho Ahn, Jin Woo Baik, Donggyu Kim, Karam Choi, Seunghyun Lee, Sung-Min Park, Jin Young Kim, Sung Hyun Nam, Chulhong Kim
    Photoacoustics.2023; 30: 100485.     CrossRef
  • Oscillating Glucose Induces the Increase in Inflammatory Stress through Ninjurin-1 Up-Regulation and Stimulation of Transport Proteins in Human Endothelial Cells
    Laura Toma, Gabriela M. Sanda, Camelia S. Stancu, Loredan S. Niculescu, Mina Raileanu, Anca V. Sima
    Biomolecules.2023; 13(4): 626.     CrossRef
  • The association between fasting plasma glucose variability and incident eGFR decline: evidence from two cohort studies
    Niloofar Deravi, Yasaman Sharifi, Fatemeh Koohi, Seyed Saeed Tamehri Zadeh, Soroush Masrouri, Fereidoun Azizi, Farzad Hadaegh
    BMC Public Health.2023;[Epub]     CrossRef
  • Insight into continuous glucose monitoring: from medical basics to commercialized devices
    Ayman Chmayssem, Małgorzata Nadolska, Emily Tubbs, Kamila Sadowska, Pankaj Vadgma, Isao Shitanda, Seiya Tsujimura, Youssef Lattach, Martin Peacock, Sophie Tingry, Stéphane Marinesco, Pascal Mailley, Sandrine Lablanche, Pierre Yves Benhamou, Abdelkader Zeb
    Microchimica Acta.2023;[Epub]     CrossRef
  • The efficacy and tolerability of intermittent prandial acarbose to reduce glucose spikes in healthy individuals
    A. Isman, A. Nyquist, M. Moel, X. Zhang, S. Zalzala
    Translational Medicine of Aging.2023; 7: 12.     CrossRef
  • Development of an artificial intelligence system to identify hypoglycaemia via ECG in adults with type 1 diabetes: protocol for data collection under controlled and free-living conditions
    Owain Cisuelo, Katy Stokes, Iyabosola B Oronti, Muhammad Salman Haleem, Thomas M Barber, Martin O Weickert, Leandro Pecchia, John Hattersley
    BMJ Open.2023; 13(4): e067899.     CrossRef
  • Self-Management and Glycemic Targets in Adult Haitian Immigrants With Type 2 Diabetes
    Cherlie Magny-Normilus, Robin Whittemore, Marcella Nunez-Smith, Christopher S. Lee, Jeffrey Schnipper, Deborah Wexler, Julie A. Sanders, Margaret Grey
    Nursing Research.2023; 72(3): 211.     CrossRef
  • The effect of traditional diet on glucose homoeostasis in carriers and non-carriers of a common TBC1D4 variant in Greenlandic Inuit: a randomised crossover study
    Jack Ivor Lewis, Mads Vendelbo Lind, Grith Møller, Torben Hansen, Hanne Pedersen, Marie Mathilde Bjerg Christensen, Jens Christian Laursen, Sara Nielsen, Charlotte B. Ottendahl, Christina V. Lytken Larsen, Ken D. Stark, Peter Bjerregaard, Marit E. Jørgens
    British Journal of Nutrition.2023; 130(11): 1871.     CrossRef
  • Screening for Impaired Glucose Homeostasis: A Novel Metric of Glycemic Control
    Jaycee M. Kaufman, Lennaert van Veen, Yan Fossat
    Mayo Clinic Proceedings: Digital Health.2023; 1(2): 189.     CrossRef
  • Impact of a Low-Carbohydrate Compared with Low-Fat Breakfast on Blood Glucose Control in Type 2 Diabetes: A Randomized Trial
    Barbara F. Oliveira, Courtney R. Chang, Kate Oetsch, Kaja Falkenhain, Kara Crampton, Matthew Stork, Malvinder Hoonjan, Thomas Elliott, Monique E. Francois, Jonathan P. Little
    The American Journal of Clinical Nutrition.2023; 118(1): 209.     CrossRef
  • Time in Range Estimation in Patients with Type 2 Diabetes is Improved by Incorporating Fasting and Postprandial Glucose Levels
    Rui Sun, Yanli Duan, Yumei Zhang, Lingge Feng, Bo Ding, Rengna Yan, Jianhua Ma, Xiaofei Su
    Diabetes Therapy.2023; 14(8): 1373.     CrossRef
  • Glucose variability: a new risk factor for cardiovascular disease
    Martina Belli, Alfonso Bellia, Domenico Sergi, Lucy Barone, Davide Lauro, Francesco Barillà
    Acta Diabetologica.2023; 60(10): 1291.     CrossRef
  • Effect of Repeated Bolus and Continuous Glucose Infusion on DNA Damage and Oxidative Stress Biomarkers in Healthy Male Volunteers
    Laura Bragagna, Christina Polak, Lisa Schütz, Lina Maqboul, Carmen Klammer, Roland Feldbauer, Agnes Draxler, Martin Clodi, Karl-Heinz Wagner
    International Journal of Molecular Sciences.2023; 24(17): 13608.     CrossRef
  • Association between inpatient glycemic variability and COVID-19 mortality: a prospective study
    Salma Ali El Chab Parolin, Rebecca Benicio Stocco, Julia do Carmo Kneipp Lopes, Marcos Roberto Curcio Pereira, Milena Massae Yamashita, Maria Eduarda Domareski Goulart, Henrique Demeneck, Marcia Olandoski, Larissa Hermann de Souza Nunes, Victor Keniche Mo
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Understanding temporal changes and seasonal variations in glycemic trends using wearable data
    Prajakta Belsare, Abigail Bartolome, Catherine Stanger, Temiloluwa Prioleau
    Science Advances.2023;[Epub]     CrossRef
  • Effects of mulberry twig alkaloids(Sangzhi alkaloids) and metformin on blood glucose fluctuations in combination with premixed insulin-treated patients with type 2 diabetes
    Ziyu Meng, Chengye Xu, Haoling Liu, Xinyuan Gao, Xinyu Li, Wenjian Lin, Xuefei Ma, Changwei Yang, Ming Hao, Kangqi Zhao, Yuxin Hu, Yi Wang, Hongyu Kuang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Baricitinib and β-Cell Function in Patients with New-Onset Type 1 Diabetes
    Michaela Waibel, John M. Wentworth, Michelle So, Jennifer J. Couper, Fergus J. Cameron, Richard J. MacIsaac, Gabby Atlas, Alexandra Gorelik, Sara Litwak, Laura Sanz-Villanueva, Prerak Trivedi, Simi Ahmed, Francis J. Martin, Madeleine E. Doyle, Jessica E.
    New England Journal of Medicine.2023; 389(23): 2140.     CrossRef
  • Metabolic Stress of Red Blood Cells Induces Hemoglobin Glutathionylation
    P. I. Zaripov, Yu. D. Kuleshova, Yu. M. Poluektov, S. V. Sidorenko, O. K. Kvan, G. V. Maksimov, V. A. Mitkevich, A. A. Makarov, I. Yu. Petrushanko
    Molecular Biology.2023; 57(6): 1176.     CrossRef
  • How to Measure Glycemic Variability? A Literature Review
    Sandra Lazar, Ioana Ionita, Delia Reurean-Pintilei, Bogdan Timar
    Medicina.2023; 60(1): 61.     CrossRef
  • Metabolic Stress of Red Blood Cells Induces Hemoglobin Glutathionylation
    P. I. Zaripov, Iu. D. Kuleshova, Yu. M. Poluektov, S. V. Sidorenko, O. K. Kvan, G. V. Maksimov, V. A. Mitkevich, A. A. Makarov, I. Yu. Petrushanko
    Молекулярная биология.2023; 57(6): 1188.     CrossRef
  • A New Analysis Tool for Continuous Glucose Monitor Data
    Evan Olawsky, Yuan Zhang, Lynn E Eberly, Erika S Helgeson, Lisa S Chow
    Journal of Diabetes Science and Technology.2022; 16(6): 1496.     CrossRef
  • Variations in Sleep Characteristics and Glucose Regulation in Young Adults With Type 1 Diabetes
    Stephanie Griggs, Margaret Grey, Kingman P Strohl, Sybil L Crawford, Seunghee Margevicius, Sangeeta R Kashyap, Chiang-Shan R Li, Sanjay Rajagopalan, Ronald L Hickman
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(3): e1085.     CrossRef
  • Influence of Fasting Plasma Glucose Targets on Glycemic Variability in Chinese Participants With Type 2 Diabetes: A Post Hoc Analysis of the FPG GOAL Trial (BEYOND III)
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    Advances in Therapy.2022; 39(1): 421.     CrossRef
  • Diet and Physical Activity as Determinants of Continuously Measured Glucose Levels in Persons at High Risk of Type 2 Diabetes
    Su Hyun Park, Jiali Yao, Xin Hui Chua, Suresh Rama Chandran, Daphne S. L. Gardner, Chin Meng Khoo, Falk Müller-Riemenschneider, Clare Whitton, Rob M. van Dam
    Nutrients.2022; 14(2): 366.     CrossRef
  • Expert Panel Recommendations for Use of Standardized Glucose Reporting System Based on Standardized Glucometrics Plus Visual Ambulatory Glucose Profile (AGP) Data in Clinical Practice
    Selcuk Dagdelen, Oguzhan Deyneli, Nevin Dinccag, Hasan Ilkova, Zeynep Osar Siva, Ilhan Yetkin, Temel Yilmaz
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
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    Diabetes & Metabolism Journal.2022; 46(1): 117.     CrossRef
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    Diabetes & Metabolism Journal.2022; 46(1): 81.     CrossRef
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    Chronicle of Diabetes Research and Practice.2022; 1(1): 14.     CrossRef
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    Clinical Interventions in Aging.2022; Volume 17: 79.     CrossRef
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    Ning Lan, Xiaohua Chen, Ying Lu, Yujie Zhou, Fei Kong, Yining Zhao, Fuzhi Jiao, Lin Zhang, Wenzhen Yuan
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • High glycemic variability: An underestimated determinant of stroke functional outcome following large vessel occlusion
    J. Baudu, E. Gerbaud, B. Catargi, M. Montaudon, M.-C. Beauvieux, S. Sagnier, S. Debruxelles, P. Renou, M. Poli, S. Olindo, M. Couture, G. Marnat, I. Sibon
    Revue Neurologique.2022; 178(7): 732.     CrossRef
  • Glycaemic Variability and Hyperglycaemia as Prognostic Markers of Major Cardiovascular Events in Diabetic Patients Hospitalised in Cardiology Intensive Care Unit for Acute Heart Failure
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    Journal of Clinical Medicine.2022; 11(6): 1549.     CrossRef
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    Diabetes Therapy.2022; 13(5): 931.     CrossRef
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    The Science of Diabetes Self-Management and Care.2022; 48(3): 149.     CrossRef
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    Eun-Hee Nah, Seon Cho, Hyeran Park, Dongwon Noh, Eunjoo Kwon, Han-Ik Cho
    Healthcare.2022; 10(5): 824.     CrossRef
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    Steven D Imrisek, Matthew Lee, Dan Goldner, Harpreet Nagra, Lindsey M Lavaysse, Jamillah Hoy-Rosas, Jeff Dachis, Lindsay E Sears
    JMIR Diabetes.2022; 7(2): e34624.     CrossRef
  • Glucose variability is associated with an adverse vascular profile but only in the presence of insulin resistance in individuals with type 1 diabetes: An observational study
    Noppadol Kietsiriroje, Sam M Pearson, Lauren L O’Mahoney, Daniel J West, Robert AS Ariëns, Ramzi A Ajjan, Matthew D Campbell
    Diabetes and Vascular Disease Research.2022; 19(3): 147916412211032.     CrossRef
  • Hypoglycemic agents and glycemic variability in individuals with type 2 diabetes: A systematic review and network meta-analysis
    SuA Oh, Sujata Purja, Hocheol Shin, Minji Kim, Eunyoung Kim
    Diabetes and Vascular Disease Research.2022; 19(3): 147916412211068.     CrossRef
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    Suzanne Schneider, Deborah L Biggerstaff, Thomas M Barber
    Expert Review of Endocrinology & Metabolism.2022; 17(4): 319.     CrossRef
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    Journal of Feline Medicine and Surgery.2022; 24(7): 651.     CrossRef
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    The Journal of Clinical Endocrinology & Metabolism.2022; 107(9): 2644.     CrossRef
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    Journal of Bone and Joint Surgery.2022; 104(18): 1614.     CrossRef
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    Gloria Leksic, Maja Baretić, Lara Gudelj, Marija Radic, Iva Milicic, Marina Ivanišević, Dubravka Jurisic-Erzen
    Biomedicines.2022; 10(9): 2175.     CrossRef
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    Journal of Diabetes and its Complications.2022; 36(11): 108313.     CrossRef
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    eBioMedicine.2022; 85: 104303.     CrossRef
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    Nao Uotani, Shun’ichi Noma, Momoko Akamine, Takashi Miyawaki
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    Biological Research.2022;[Epub]     CrossRef
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    Journal of Diabetes Science and Technology.2021; 15(1): 134.     CrossRef
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    Annals of Behavioral Medicine.2021; 55(2): 123.     CrossRef
  • Effects of structured Aerobic Exercise on selected clinical profiles of patients with type 2 diabetes mellitus: A systematic review with meta-analysis
    NmachukwuIfeoma Ekechukwu, StellaUdumma Anwara, UkamakaGloria Mgbeojedo, OliveU Chijioke, OkechukwuSteven Onwukwe, UchechukwuAnthonia Ezugwu, EchezonaNelson Dominic Ekechukwu, IjeomaL Okoronkwo
    International Journal of Medicine and Health Development.2021; 26(1): 17.     CrossRef
  • New Innovation: Use of Flash Glucose Monitoring for Evaluating Glycaemic Variability, Patient Satisfaction and Clinical Utility in Pregnant Women with Diabetes
    Saxena Pikee, Kumari Khushbu, Prakash Anupam, Puri Manju, Jain Sachin
    The Journal of Obstetrics and Gynecology of India.2021; 71(2): 136.     CrossRef
  • Comprehensive elaboration of glycemic variability in diabetic macrovascular and microvascular complications
    Bao Sun, Zhiying Luo, Jiecan Zhou
    Cardiovascular Diabetology.2021;[Epub]     CrossRef
  • The Added and Interpretative Value of CGM-Derived Parameters in Type 1 Diabetes Depends on the Level of Glycemic Control
    Simon Helleputte, Tine De Backer, Patrick Calders, Bart Pauwels, Samyah Shadid, Bruno Lapauw
    Endocrine Practice.2021; 27(1): 44.     CrossRef
  • Short-term glycemic variability and hemorrhagic transformation after successful endovascular thrombectomy
    Tae Jung Kim, Ji Sung Lee, Soo-Hyun Park, Sang-Bae Ko
    Translational Stroke Research.2021; 12(6): 968.     CrossRef
  • The relationship between glycemic variability and blood pressure variability in normoglycemic normotensive individuals
    Havva Sezer, Dilek Yazici, Sidar Copur, Tuncay Dagel, Oguzhan Deyneli, Mehmet Kanbay
    Blood Pressure Monitoring.2021; 26(2): 102.     CrossRef
  • Current concepts and clinical importance of glycemic variability
    Ramya Ravi, V Balasubramaniam, Gowthamarajan Kuppusamy, Sivasankaran Ponnusankar
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2021; 15(2): 627.     CrossRef
  • Oscillatory pattern of glycemic control in patients with diabetes mellitus
    Manuel Vasquez-Muñoz, Alexis Arce-Alvarez, Magdalena von Igel, Carlos Veliz, Gonzalo Ruiz-Esquide, Rodrigo Ramirez-Campillo, Cristian Alvarez, Robinson Ramirez-Velez, Fernando A. Crespo, Mikel Izquierdo, Rodrigo Del Rio, David C. Andrade
    Scientific Reports.2021;[Epub]     CrossRef
  • Comparing the Efficacies of Telemedicine and Standard Prenatal Care on Blood Glucose Control in Women With Gestational Diabetes Mellitus: Randomized Controlled Trial
    Ying Tian, Suhan Zhang, Feiling Huang, Liangkun Ma
    JMIR mHealth and uHealth.2021; 9(5): e22881.     CrossRef
  • Interpreting blood GLUcose data with R package iglu
    Steven Broll, Jacek Urbanek, David Buchanan, Elizabeth Chun, John Muschelli, Naresh M. Punjabi, Irina Gaynanova, Laura Pyle
    PLOS ONE.2021; 16(4): e0248560.     CrossRef
  • Weight fluctuation and risk of hepatocellular carcinoma: a nationwide population-based 8-million-subject study
    Young Chang, Jeong-Ju Yoo, Eun Ju Cho, Kyungdo Han, Dahye Kim, Bo-Yeon Kim, Goh Eun Chung, Yuri Cho, Dong Wook Shin, Su Jong Yu
    Hepatology International.2021; 15(2): 482.     CrossRef
  • Glucose variability predicts 6-month mortality in patients hospitalized with acute heart failure
    Filipe M. Cunha, Catarina Cidade-Rodrigues, Catarina Elias, Diana Oliveira, Paulo Bettencourt, Patrícia Lourenço
    Internal and Emergency Medicine.2021; 16(8): 2121.     CrossRef
  • Glucose Variability and Risk of Hepatocellular Carcinoma in Patients with Diabetes: A Nationwide Population-Based Study
    Jeong-Ju Yoo, Eun Ju Cho, Kyungdo Han, Soo Seong Heo, Bo-Yeon Kim, Dong Wook Shin, Su Jong Yu
    Cancer Epidemiology, Biomarkers & Prevention.2021; 30(5): 974.     CrossRef
  • Sleep-wake characteristics, daytime sleepiness, and glycemia in young adults with type 1 diabetes
    Stephanie Griggs, Ronald L. Hickman, Kingman P. Strohl, Nancy S. Redeker, Sybil L. Crawford, Margaret Grey
    Journal of Clinical Sleep Medicine.2021; 17(9): 1865.     CrossRef
  • Glycemic Variability in Type 1 Diabetes Mellitus Saudis Using Ambulatory Glucose Profile
    Bader Alzahrani, Saad Alzahrani, Mussa H Almalki, Souha S Elabd, Shawana Abdulhamid Khan, Badurudeen Buhary, Naji Aljuhani, Anwar A Jammah
    Clinical Medicine Insights: Endocrinology and Diabetes.2021; 14: 117955142110137.     CrossRef
  • Effect of glucose concentration and culture substrate on HUVECs viability in in vitro cultures: A literature review and own results
    Anna Ciechanowska, Ilona Gora, Stanislawa Sabalinska, Piotr Foltynski, Piotr Ladyzynski
    Biocybernetics and Biomedical Engineering.2021; 41(4): 1390.     CrossRef
  • Probabilistic Model of Transition between Categories of Glucose Profiles in Patients with Type 1 Diabetes Using a Compositional Data Analysis Approach
    Lyvia Biagi, Arthur Bertachi, Marga Giménez, Ignacio Conget, Jorge Bondia, Josep Antoni Martín-Fernández, Josep Vehí
    Sensors.2021; 21(11): 3593.     CrossRef
  • Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches
    Brinnae Bent, Peter J. Cho, Maria Henriquez, April Wittmann, Connie Thacker, Mark Feinglos, Matthew J. Crowley, Jessilyn P. Dunn
    npj Digital Medicine.2021;[Epub]     CrossRef
  • Non-invasive wearables for remote monitoring of HbA1c and glucose variability: proof of concept
    Brinnae Bent, Peter J Cho, April Wittmann, Connie Thacker, Srikanth Muppidi, Michael Snyder, Matthew J Crowley, Mark Feinglos, Jessilyn P Dunn
    BMJ Open Diabetes Research & Care.2021; 9(1): e002027.     CrossRef
  • Circadian characteristics of the rest-activity rhythm, executive function, and glucose fluctuations in young adults with type 1 diabetes
    Stephanie Griggs, Kingman P. Strohl, Margaret Grey, Eric Barbato, Seunghee Margevicius, Ronald L. Hickman
    Chronobiology International.2021; 38(10): 1477.     CrossRef
  • Glucose forecasting using genetic programming and latent glucose variability features
    Sergio Contador, J. Manuel Velasco, Oscar Garnica, J. Ignacio Hidalgo
    Applied Soft Computing.2021; 110: 107609.     CrossRef
  • On the efficacy of behavior change techniques in mHealth for self-management of diabetes: A meta-analysis
    Omar El-Gayar, Martinson Ofori, Nevine Nawar
    Journal of Biomedical Informatics.2021; 119: 103839.     CrossRef
  • Daytime Glycemic Variability and Frailty in Older Patients with Diabetes: a Pilot Study Using Continuous Glucose Monitoring
    Seung Min Chung, Yun Hee Lee, Chang Oh Kim, Ji Yeon Lee, Sang-Man Jin, Seung-Hyun Yoo, Jun Sung Moon, Kwang Joon Kim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Glucose Patterns in Very Old Adults: A Pilot Study in a Community-Based Population
    Elizabeth Selvin, Dan Wang, Olive Tang, Melissa Minotti, Justin B. Echouffo-Tcheugui, Josef Coresh
    Diabetes Technology & Therapeutics.2021;[Epub]     CrossRef
  • Uma Visão Bioquímica Dos Exames Laboratoriais Prévios Para Iniciantes Na Prática De Corrida De Forma Recreativa E A Importância De Realizá-Los
    João Henrique Pereira De Oliveira
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2021; : 81.     CrossRef
  • Retrospective study of glycemic variability, BMI, and blood pressure in diabetes patients in the Digital Twin Precision Treatment Program
    Paramesh Shamanna, Mala Dharmalingam, Rakesh Sahay, Jahangir Mohammed, Maluk Mohamed, Terrence Poon, Nathan Kleinman, Mohamed Thajudeen
    Scientific Reports.2021;[Epub]     CrossRef
  • The role of T‐cell immunity in COVID‐19 severity amongst people living with type II diabetes
    Zhen Wei Marcus Tong, Emma Grant, Stephanie Gras, Melanie Wu, Corey Smith, Helen L. Barrett, Linda A. Gallo, Kirsty R. Short
    The FEBS Journal.2021; 288(17): 5042.     CrossRef
  • The Role of Glycemic Variability in Cardiovascular Disorders
    Valentina Alfieri, Veronika A. Myasoedova, Maria Cristina Vinci, Maurizio Rondinelli, Paola Songia, Ilaria Massaiu, Nicola Cosentino, Donato Moschetta, Vincenza Valerio, Michele Ciccarelli, Giancarlo Marenzi, Stefano Genovese, Paolo Poggio
    International Journal of Molecular Sciences.2021; 22(16): 8393.     CrossRef
  • Impact of tacrolimus variability on pediatric heart transplant outcomes
    Megan Sirota, Caroline Heyrend, Zhining Ou, Susan Masotti, Eric Griffiths, Kimberly Molina
    Pediatric Transplantation.2021;[Epub]     CrossRef
  • Prevalence of glycemic variability and factors associated with the glycemic arrays among end-stage kidney disease patients on chronic hemodialysis
    Abdul Hanif Khan Yusof Khan, Nor Fadhlina Zakaria, Muhammad Adil Zainal Abidin, Nor Azmi Kamaruddin
    Medicine.2021; 100(30): e26729.     CrossRef
  • Efficacy of Ketogenic Diets on Type 2 Diabetes: a Systematic Review
    Delphine Tinguely, Justine Gross, Christophe Kosinski
    Current Diabetes Reports.2021;[Epub]     CrossRef
  • Glucose variability and low bone turnover in people with type 2 diabetes
    Jakob Starup-Linde, Simon Lykkeboe, Aase Handberg, Peter Vestergaard, Pernille Høyem, Jesper Fleischer, Troels Krarup Hansen, Per Løgstrup Poulsen, Esben Laugesen
    Bone.2021; 153: 116159.     CrossRef
  • Use of continuous glucose monitoring in obesity research: A scoping review
    Elizabeth Hegedus, Sarah-Jeanne Salvy, Choo Phei Wee, Monica Naguib, Jennifer K. Raymond, D. Steven Fox, Alaina P. Vidmar
    Obesity Research & Clinical Practice.2021; 15(5): 431.     CrossRef
  • The Association Between Mean Glycated Haemoglobin or Glycaemic Variability and the Development of Retinopathy in People with Diabetes: A Retrospective Observational Cohort Study
    Ketan Dhatariya, Alexander Humberstone, Abul Hasnat, Rebecca Wright, Morgan Lujan, Ian Nunney
    Diabetes Therapy.2021; 12(10): 2755.     CrossRef
  • Improved Glycemic Control and Variability: Application of Healthy Ingredients in Asian Staples
    Stefan Gerardus Camps, Bhupinder Kaur, Joseph Lim, Yi Ting Loo, Eunice Pang, Terence Ng, Christiani Jeyakumar Henry
    Nutrients.2021; 13(9): 3102.     CrossRef
  • Glycemic Variability Impacted by SGLT2 Inhibitors and GLP 1 Agonists in Patients with Diabetes Mellitus: A Systematic Review and Meta-Analysis
    Heeyoung Lee, Se-eun Park, Eun-Young Kim
    Journal of Clinical Medicine.2021; 10(18): 4078.     CrossRef
  • Glycemic variability of acute stroke patients and clinical outcomes: a continuous glucose monitoring study
    Lina Palaiodimou, Vasileios-Arsenios Lioutas, Vaia Lambadiari, Aikaterini Theodorou, Marios Themistocleous, Laura Aponte, Georgia Papagiannopoulou, Aikaterini Foska, Eleni Bakola, Rodrigo Quispe, Laura Mendez, Magdy Selim, Vera Novak, Elias Tzavellas, Pan
    Therapeutic Advances in Neurological Disorders.2021; 14: 175628642110458.     CrossRef
  • Glycemic variability: Importance, relationship with physical activity, and the influence of exercise
    Joshua R. Sparks, Erin E. Kishman, Mark A. Sarzynski, J. Mark Davis, Peter W. Grandjean, J. Larry Durstine, Xuewen Wang
    Sports Medicine and Health Science.2021; 3(4): 183.     CrossRef
  • The Effect of Physical Activity on Glycemic Variability in Patients With Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
    Xingyun Zhu, Lina Zhao, Jing Chen, Chu Lin, Fang Lv, Suiyuan Hu, Xiaoling Cai, Li Zhang, Linong Ji
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Cgmquantify: Python and R Software Packages for Comprehensive Analysis of Interstitial Glucose and Glycemic Variability from Continuous Glucose Monitor Data
    Brinnae Bent, Maria Henriquez, Jessilyn Dunn
    IEEE Open Journal of Engineering in Medicine and Biology.2021; 2: 263.     CrossRef
  • In-Hospital Mortality and Glycemic Control in Patients with Hospital Hyperglycemia
    María Paula Russo, Santiago Nicolas Marquez Fosser, Cristina María Elizondo, Diego Hernán Giunta, Nora Angélica Fuentes, María Florencia Grande-Ratti
    Review of Diabetic Studies.2021; 17(2): 50.     CrossRef
  • Perspectives of glycemic variability in diabetic neuropathy: a comprehensive review
    Xiaochun Zhang, Xue Yang, Bao Sun, Chunsheng Zhu
    Communications Biology.2021;[Epub]     CrossRef
  • Association Between Intra-Hospital Uncontrolled Glycemia and Health Outcomes in Patients with Diabetes: A Systematic Review of Observational Studies
    Renata Cunha Carvalho, Fernanda Ayache Nishi, Tatiane Bomfim Ribeiro, Gustavo Galvão França, Patricia Melo Aguiar
    Current Diabetes Reviews.2021; 17(3): 304.     CrossRef
  • Glycaemic Variability Heavily Affects Outcomes of Diabetic Patients Hospitalized for Acute Heart Failure
    Edouard Gerbaud, Ambroise Bouchard de la Poterie, Thomas Baudinet, Michel Montaudon, Marie-Christine Beauvieux, Anne-Iris Lemaître, Laura Cetran, Benjamin Seguy, Francois Picard, Fritz-Line Vélayoudom, Alexandre Ouattara, Rémi Kabore, Pierre Coste, Pierre
    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • GLU: a software package for analysing continuously measured glucose levels in epidemiology
    Louise A C Millard, Nashita Patel, Kate Tilling, Melanie Lewcock, Peter A Flach, Debbie A Lawlor
    International Journal of Epidemiology.2020; 49(3): 744.     CrossRef
  • Glycemic variability and subsequent malignancies among the population without diabetes
    Daiki Kobayashi, Hiroshi Noto, Osamu Takahashi, Takuro Shimbo
    Diabetes Research and Clinical Practice.2020; 159: 107987.     CrossRef
  • The relationship between glycaemic variability and cardiovascular autonomic dysfunction in patients with type 1 diabetes: A systematic review
    Simon Helleputte, Tine De Backer, Bruno Lapauw, Samyah Shadid, Bert Celie, Birgit Van Eetvelde, Karsten Vanden Wyngaert, Patrick Calders
    Diabetes/Metabolism Research and Reviews.2020;[Epub]     CrossRef
  • Actualización sobre hiperglucemia posprandial: fisiopatología, prevalencia, consecuencias e implicaciones para el tratamiento de la diabetes
    P.J. Pinés Corrales, V. Bellido Castañeda, F.J. Ampudia-Blasco
    Revista Clínica Española.2020; 220(1): 57.     CrossRef
  • Sleep, self‐management, neurocognitive function, and glycemia in emerging adults with Type 1 diabetes mellitus: A research protocol
    Stephanie Griggs, Nancy S. Redeker, Sybil L. Crawford, Margaret Grey
    Research in Nursing & Health.2020; 43(4): 317.     CrossRef
  • GLP 1 receptor agonists, glycemic variability, oxidative stress and acute coronary syndrome
    Maria Isabel del Olmo García, Juan Francisco Merino-Torres
    Medical Hypotheses.2020; 136: 109504.     CrossRef
  • Risk factors for hospitalization in youth with type 1 diabetes: Development and validation of a multivariable prediction model
    Juan D Mejia‐Otero, Soumya Adhikari, Perrin C White
    Pediatric Diabetes.2020; 21(7): 1268.     CrossRef
  • Acute and Chronic Effects of Exercise on Continuous Glucose Monitoring Outcomes in Type 2 Diabetes: A Meta-Analysis
    Matthew Munan, Camila L. P. Oliveira, Alexis Marcotte-Chénard, Jordan L. Rees, Carla M. Prado, Eléonor Riesco, Normand G. Boulé
    Frontiers in Endocrinology.2020;[Epub]     CrossRef
  • Age‐specific associations of glycated haemoglobin variability with cardiovascular disease and mortality in patients with type 2 diabetes mellitus: A 10‐ year cohort study
    Eric Yuk Fai Wan, Esther Yee Tak Yu, Weng Yee Chin, Florence Ting Yan Ng, Shu Ming Cheryl Chia, Ian Chi Kei Wong, Esther Wai Yin Chan, Cindy Lo Kuen Lam
    Diabetes, Obesity and Metabolism.2020; 22(8): 1316.     CrossRef
  • Comparison of Glycemic Variability Indices: Blood Glucose, Risk Index, and Coefficient of Variation in Predicting Adverse Outcomes for Patients Undergoing Cardiac Surgery
    Valluvan Rangasamy, Xinling Xu, Ammu Thampi Susheela, Balachundhar Subramaniam
    Journal of Cardiothoracic and Vascular Anesthesia.2020; 34(7): 1794.     CrossRef
  • Low Blood Glucose Index and Hypoglycaemia Risk: Insulin Glargine 300 U/mL Versus Insulin Glargine 100 U/mL in Type 2 Diabetes
    Boris Kovatchev, Zhaoling Meng, Anna M. G. Cali, Riccardo Perfetti, Marc D. Breton
    Diabetes Therapy.2020; 11(6): 1293.     CrossRef
  • Non-Dietary Factors Associated with Glycemic Status among Adults Diagnosed with Type 2 Diabetes Mellitus in Malawi
    Getrude Mphwanthe, Dave Weatherspoon, Alexander Kalimbira, Lorraine Weatherspoon
    Social Work in Public Health.2020; 35(6): 380.     CrossRef
  • Glycaemic profile in the second and third trimesters of normal pregnancy compared to non-pregnant adult females
    Aruna Nigam, Neha Varun, Sumedha Sharma, YP Munjal, Anupam Prakash
    Obstetric Medicine.2020; 13(1): 30.     CrossRef
  • The Effect of Acarbose on Glycemic Variability in Patients with Type 2 Diabetes Mellitus Using Premixed Insulin Compared to Metformin (AIM): An Open-Label Randomized Trial
    Fei Gao, Xiaojing Ma, Jiahui Peng, Jingyi Lu, Wei Lu, Wei Zhu, Yuqian Bao, Robert A. Vigersky, Weiping Jia, Jian Zhou
    Diabetes Technology & Therapeutics.2020; 22(4): 256.     CrossRef
  • Circulating Wnt1-inducible signaling pathway protein-1 (WISP-1/CCN4) is a novel biomarker of adiposity in subjects with type 2 diabetes
    Vadim V. Klimontov, Dinara M. Bulumbaeva, Olga N. Fazullina, Alexander P. Lykov, Natalia P. Bgatova, Nikolay B. Orlov, Vladimir I. Konenkov, Andreas F.H. Pfeiffer, Olga Pivovarova-Ramich, Natalia Rudovich
    Journal of Cell Communication and Signaling.2020; 14(1): 101.     CrossRef
  • Glycemic variability in newly diagnosed diabetic cats treated with the glucagon‐like peptide‐1 analogue exenatide extended release
    Anna L. Krämer, Angelina Riederer, Federico Fracassi, Felicitas S. Boretti, Nadja S. Sieber‐Ruckstuhl, Thomas A. Lutz, Barbara Contiero, Eric Zini, Claudia E. Reusch
    Journal of Veterinary Internal Medicine.2020; 34(6): 2287.     CrossRef
  • Glycemic variability in type 2 diabetes mellitus and acute coronary syndrome: liraglutide compared with insulin glargine: a pilot study
    Maria Isabel del Olmo-García, David Hervás Marín, Jana Caudet Esteban, Antonio Ballesteros Martin-Portugués, Alba Cerveró Rubio, Miguel Angel Arnau Vives, Ana Catalá Gregori, Maite Penalba Martínez, Juan Francisco Merino-Torres
    Journal of International Medical Research.2020; 48(6): 030006052092606.     CrossRef
  • Capturing glucose variability in patients with diabetes
    David Laight
    Prescriber.2020; 31(9): 20.     CrossRef
  • Diabetes of the Exocrine Pancreas Related to Hereditary Pancreatitis, an Update
    Gabriel Xavier Ramalho, Marcio Garrison Dytz
    Current Diabetes Reports.2020;[Epub]     CrossRef
  • Robust estimation of the effect of an exposure on the change in a continuous outcome
    Yilin Ning, Nathalie C. Støer, Peh Joo Ho, Shih Ling Kao, Kee Yuan Ngiam, Eric Yin Hao Khoo, Soo Chin Lee, E-Shyong Tai, Mikael Hartman, Marie Reilly, Chuen Seng Tan
    BMC Medical Research Methodology.2020;[Epub]     CrossRef
  • Comparison of the effects of gemigliptin and dapagliflozin on glycaemic variability in type 2 diabetes: A randomized, open‐label, active‐controlled, 12‐week study (STABLE II study)
    Soo Heon Kwak, You‐Cheol Hwang, Jong Chul Won, Ji Cheol Bae, Hyun Jin Kim, Sunghwan Suh, Eun Young Lee, Subin Lee, Sang‐Yong Kim, Jae Hyeon Kim
    Diabetes, Obesity and Metabolism.2020; 22(2): 173.     CrossRef
  • Acarbose-metformin is more effective in glycemic variability control than repaglinide-metformin in T2DM patients inadequately controlled with metformin: a retrospective cohort study
    Guoli Du, Wanrun Xie, Yinxia Su, Yao Ma, Xiaoming Gao, Sheng Jiang, Huazheng Liang
    PeerJ.2020; 8: e9905.     CrossRef
  • Association between sleep disturbances, fear of hypoglycemia and psychological well-being in adults with type 1 diabetes mellitus, data from cross-sectional VARDIA study
    Valentine Suteau, Pierre-Jean Saulnier, Matthieu Wargny, Linda Gonder-Frederick, Elise Gand, Lucy Chaillous, Ingrid Allix, Séverine Dubois, Fabrice Bonnet, Anne-Marie Leguerrier, Gerard Fradet, Ingrid Delcourt Crespin, Véronique Kerlan, Didier Gouet, Caro
    Diabetes Research and Clinical Practice.2020; 160: 107988.     CrossRef
  • Update on postprandial hyperglycemia: The pathophysiology, prevalence, consequences and implications of treating diabetes
    P.J. Pinés Corrales, V. Bellido Castañeda, F.J. Ampudia-Blasco
    Revista Clínica Española (English Edition).2020; 220(1): 57.     CrossRef
  • How tightly controlled do fluctuations in blood glucose levels need to be to reduce the risk of developing complications in people with Type 1 diabetes?
    R. Livingstone, J. G. Boyle, J. R. Petrie
    Diabetic Medicine.2020; 37(4): 513.     CrossRef
  • In-Silico Evaluation of Glucose Regulation Using Policy Gradient Reinforcement Learning for Patients with Type 1 Diabetes Mellitus
    Jonas Nordhaug Myhre, Miguel Tejedor, Ilkka Kalervo Launonen, Anas El Fathi, Fred Godtliebsen
    Applied Sciences.2020; 10(18): 6350.     CrossRef
  • Association of Glycemic Indices (Hyperglycemia, Glucose Variability, and Hypoglycemia) with Oxidative Stress and Diabetic Complications
    Eleftheria Papachristoforou, Vaia Lambadiari, Eirini Maratou, Konstantinos Makrilakis, Celestino Sardu
    Journal of Diabetes Research.2020; 2020: 1.     CrossRef
  • Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices
    Enrico Longato, Giada Acciaroli, Andrea Facchinetti, Alberto Maran, Giovanni Sparacino
    Journal of Diabetes Science and Technology.2020; 14(2): 297.     CrossRef
  • Efficacy and safety of trelagliptin in Japanese patients with type 2 diabetes with severe renal impairment or end‐stage renal disease: Results from a randomized, phase 3 study
    Kohei Kaku, Kazuyuki Ishida, Kohei Shimizu, Meguru Achira, Yuusuke Umeda
    Journal of Diabetes Investigation.2020; 11(2): 373.     CrossRef
  • Finding the clinical utility of 1,5-anhydroglucitol among primary care practitioners
    John Peabody, David Paculdo, M. Czarina Acelajado, Trever Burgon, Jeffrey R. Dahlen
    Journal of Clinical & Translational Endocrinology.2020; 20: 100224.     CrossRef
  • Effects of Exercise on Blood Glucose and Glycemic Variability in Type 2 Diabetic Patients with Dawn Phenomenon
    Xin Zheng, Yanyan Qi, Lina Bi, Wenli Shi, Yan Zhang, Dan Zhao, Su Hu, Meixin Li, Qin Li
    BioMed Research International.2020; 2020: 1.     CrossRef
  • Effects of Cardiovascular Risk Factor Variability on Health Outcomes
    Seung-Hwan Lee, Mee Kyoung Kim, Eun-Jung Rhee
    Endocrinology and Metabolism.2020; 35(2): 217.     CrossRef
  • Increased Preoperative Glucose Variability Is Associated with Adverse Perioperative Outcomes Following Orthopedic Surgery in Patients with Type 2 Diabetes Mellitus
    Si-jie Yuan, Jie Shen
    Current Medical Science.2020; 40(3): 523.     CrossRef
  • Clinically Accurate Prediction of Glucose Levels in Patients with Type 1 Diabetes
    Yotam Amar, Smadar Shilo, Tal Oron, Eran Amar, Moshe Phillip, Eran Segal
    Diabetes Technology & Therapeutics.2020; 22(8): 562.     CrossRef
  • Higher glycemic variability within the first day of ICU admission is associated with increased 30-day mortality in ICU patients with sepsis
    Wen-Cheng Chao, Chien-Hua Tseng, Chieh-Liang Wu, Sou-Jen Shih, Chi-Yuan Yi, Ming-Cheng Chan
    Annals of Intensive Care.2020;[Epub]     CrossRef
  • Effects of Glucose Fluctuation Targeted Intervention on the Prognosis of Patients with Type 2 Diabetes following the First Episode of Cerebral Infarction
    Qingqing Lou, Xiaodan Yuan, Shujie Hao, Joshua D. Miller, Juan Yan, Panpan Zuo, Jianing Li, Lihong Yang, Hong Li
    Journal of Diabetes Research.2020; 2020: 1.     CrossRef
  • Rationale and design of the LIBERATES trial: Protocol for a randomised controlled trial of flash glucose monitoring for optimisation of glycaemia in individuals with type 2 diabetes and recent myocardial infarction
    Colin C Everett, Catherine Reynolds, Catherine Fernandez, Deborah D Stocken, Linda D Sharples, Thozhukat Sathyapalan, Simon Heller, Robert F Storey, Ramzi A Ajjan
    Diabetes and Vascular Disease Research.2020; 17(5): 147916412095793.     CrossRef
  • Comparison between a flash glucose monitoring system and a portable blood glucose meter for monitoring dogs with diabetes mellitus
    Francesca Del Baldo, Claudia Canton, Silvia Testa, Harry Swales, Ignazio Drudi, Stefania Golinelli, Federico Fracassi
    Journal of Veterinary Internal Medicine.2020; 34(6): 2296.     CrossRef
  • Effect of Variability in Blood Pressure, Glucose and Cholesterol Concentrations, and Body Weight on Emergency Hospitalization and 30‐Day Mortality in the General Population
    Seung‐Hwan Lee, Kyungdo Han, Hyuk‐Sang Kwon, Kun‐Ho Yoon, Mee Kyoung Kim
    Journal of the American Heart Association.2020;[Epub]     CrossRef
  • Accumulating Physical Activity in Short or Brief Bouts for Glycemic Control in Adults With Prediabetes and Diabetes
    Courtney R. Chang, Brooke M. Russell, Paddy C. Dempsey, Hannah E. Christie, Matthew D. Campbell, Monique E. Francois
    Canadian Journal of Diabetes.2020; 44(8): 759.     CrossRef
  • Time in Range from Continuous Glucose Monitoring: A Novel Metric for Glycemic Control
    Jee Hee Yoo, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2020; 44(6): 828.     CrossRef
  • Flash glucose monitoring in diabetic dogs: a feasible method for evaluating glycemic control
    Florian K. Zeugswetter, Andrea Sellner
    Tierärztliche Praxis Ausgabe K: Kleintiere / Heimtiere.2020; 48(05): 330.     CrossRef
  • Letter: Efficacy and Safety of Voglibose Plus Metformin in Patients with Type 2 Diabetes Mellitus: A Randomized Controlled Trial (Diabetes Metab J 2019;43;276-86)
    Hannah Seok, Tae Seo Sohn
    Diabetes & Metabolism Journal.2019; 43(4): 545.     CrossRef
  • Efficacy of Real-Time Continuous Glucose Monitoring to Improve Effects of a Prescriptive Lifestyle Intervention in Type 2 Diabetes: A Pilot Study
    Penelope J. Taylor, Campbell H. Thompson, Natalie D. Luscombe-Marsh, Thomas P. Wycherley, Gary Wittert, Grant D. Brinkworth
    Diabetes Therapy.2019; 10(2): 509.     CrossRef
  • The mechanisms of glycemic variability accelerate diabetic central neuropathy and diabetic peripheral neuropathy in diabetic rats
    Junpeng Yang, Zhigang Zhao, Huijuan Yuan, Xiangxiang Ma, Yakun Li, Huimeng Wang, Xiaojun Ma, Guijun Qin
    Biochemical and Biophysical Research Communications.2019; 510(1): 35.     CrossRef
  • Assessment of glucose variability in subjects with prediabetes
    Nevena Chakarova, Rumyana Dimova, Greta Grozeva, Tsvetalina Tankova
    Diabetes Research and Clinical Practice.2019; 151: 56.     CrossRef
  • Phase 1 Study of the Pharmacology of BTI320 Before High‐Glycemic Meals
    David R. Luke, Karen Ka Yan Lee, Carl W. Rausch, Camille Cheng
    Clinical Pharmacology in Drug Development.2019; 8(3): 395.     CrossRef
  • Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study
    Alain Giordanengo, Eirik Årsand, Ashenafi Zebene Woldaregay, Meghan Bradway, Astrid Grottland, Gunnar Hartvigsen, Conceição Granja, Torbjørn Torsvik, Anne Helen Hansen
    JMIR Diabetes.2019; 4(3): e14002.     CrossRef
  • Early dysglycemia and mortality in traumatic brain injury and subarachnoid hemorrhage
    Simone Pappacena, Michael Bailey, Luca Cabrini, Giovanni Landoni, Andrew Udy, David V. Pilcher, Paul Young, Rinaldo Bellomo
    Minerva Anestesiologica.2019;[Epub]     CrossRef
  • The state of variability: A vision for descriptors of glycaemia
    Tony Zhou, Jennifer L. Knopp, J. Geoffrey Chase
    Annual Reviews in Control.2019; 48: 472.     CrossRef
  • Variability in Glycated Hemoglobin and Risk of Poor Outcomes Among People With Type 2 Diabetes in a Large Primary Care Cohort Study
    Julia A. Critchley, Iain M. Carey, Tess Harris, Stephen DeWilde, Derek G. Cook
    Diabetes Care.2019; 42(12): 2237.     CrossRef
  • Efficacy and safety of a morning injection of insulin glargine 300 units/mL versus insulin glargine 100 units/mL in adult patients with type 1 diabetes: A multicentre, randomized controlled trial using continuous glucose monitoring
    Jeremy Pettus, Jasvinder Gill, Sachin Paranjape, John Stewart, Shilpy Malla, Steven Edelman, Richard M. Bergenstal, Bruce Bode
    Diabetes, Obesity and Metabolism.2019; 21(8): 1906.     CrossRef
  • Improved outcome of patients with diabetes mellitus with good glycemic control in the cardiac intensive care unit: a retrospective study
    Kassem Sharif, Suheil Ghadir, Daniela Jakubowicz, Howard Amital, Nicola Luigi Bragazzi, Abdulla Watad, Julio Wainstein, Yosefa Bar-Dayan
    Cardiovascular Diabetology.2019;[Epub]     CrossRef
  • Short‐term exercise training reduces glycaemic variability and lowers circulating endothelial microparticles in overweight and obese women at elevated risk of type 2 diabetes
    Hossein Rafiei, Emily Robinson, Julianne Barry, Mary Elizabeth Jung, Jonathan Peter Little
    European Journal of Sport Science.2019; 19(8): 1140.     CrossRef
  • Rapid gastric emptying in diabetes mellitus: Pathophysiology and clinical importance
    Raj K. Goyal, Vivian Cristofaro, Maryrose P. Sullivan
    Journal of Diabetes and its Complications.2019; 33(11): 107414.     CrossRef
  • Fine-Scale Online Evaluation of Glycemic Control Performance Based on Temporal Feature Analysis
    Hong Zhao, Chunhui Zhao
    Industrial & Engineering Chemistry Research.2019; 58(11): 4374.     CrossRef
  • Breakfast replacement with a liquid formula improves glycaemic variability in patients with type 2 diabetes: a randomised clinical trial
    Jiahui Peng, Jingyi Lu, Xiaojing Ma, Lingwen Ying, Wei Lu, Wei Zhu, Yuqian Bao, Jian Zhou
    British Journal of Nutrition.2019; 121(5): 560.     CrossRef
  • Dapagliflozin: A Review in Type 1 Diabetes
    Julia Paik, Hannah A. Blair
    Drugs.2019; 79(17): 1877.     CrossRef
  • Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes
    Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, David Albers, Lena Mamykina, Gunnar Hartvigsen
    Journal of Medical Internet Research.2019; 21(5): e11030.     CrossRef
  • Quantitative Assessment of Autonomic Regulation of the Cardiac System
    Jian Kang Wu, Zhipei Huang, Zhiqiang Zhang, Wendong Xiao, Hong Jiang
    Journal of Healthcare Engineering.2019; 2019: 1.     CrossRef
  • Different Types of Physical Activity and Metabolic Control in People With Type 1 Diabetes Mellitus
    Iztok Štotl, Tim Kambič, Vedran Hadžić, Anže Zdolšek
    Frontiers in Physiology.2019;[Epub]     CrossRef
  • A Randomized Pilot Study of the Effect of Trelagliptin and Alogliptin on Glycemic Variability in Patients with Type 2 Diabetes
    Rimei Nishimura, Takeshi Osonoi, Yasuhiro Koike, Kouji Miyata, Yukio Shimasaki
    Advances in Therapy.2019; 36(11): 3096.     CrossRef
  • No association between fear of hypoglycemia and blood glucose variability in type 1 diabetes: The cross-sectional VARDIA study
    Pierre Jean Saulnier, Claire Briet, Elise Gand, Lucy Chaillous, Severine Dubois, Fabrice Bonnet, Anne Marie Leguerrier, Gérard Fradet, Ingrid Delcourt Crespin, Veronique Kerlan, Didier Gouet, Caroline Perlemoine, Pierre Henri Ducluzeau, Matthieu Pichelin,
    Journal of Diabetes and its Complications.2019; 33(8): 554.     CrossRef
  • Limited benefit of haemoglobin glycation index as risk factor for cardiovascular disease in type 2 diabetes patients
    H.B. Østergaard, T. Mandrup-Poulsen, G.F.N. Berkelmans, Y. van der Graaf, F.L.J. Visseren, J. Westerink
    Diabetes & Metabolism.2019; 45(3): 254.     CrossRef
  • Glycemic Variability Is a Powerful Independent Predictive Factor of Midterm Major Adverse Cardiac Events in Patients With Diabetes With Acute Coronary Syndrome
    Edouard Gerbaud, Romain Darier, Michel Montaudon, Marie-Christine Beauvieux, Christine Coffin-Boutreux, Pierre Coste, Hervé Douard, Alexandre Ouattara, Bogdan Catargi
    Diabetes Care.2019; 42(4): 674.     CrossRef
  • General Assembly, Prevention, Host Risk Mitigation - General Factors: Proceedings of International Consensus on Orthopedic Infections
    William Jiranek, James W.M. Kigera, Brian A. Klatt, Fatih Küçükdurmaz, Jay Lieberman, Claus Moser, Kevin Mulhall, Hasan Nahouli, Edward Schwarz, Noam Shohat, Majd Tarabichi
    The Journal of Arthroplasty.2019; 34(2): S43.     CrossRef
  • Fenofibrate increases very-long-chain sphingolipids and improves blood glucose homeostasis in NOD mice
    Laurits J. Holm, Martin Haupt-Jorgensen, Jano D. Giacobini, Jane P. Hasselby, Mesut Bilgin, Karsten Buschard
    Diabetologia.2019; 62(12): 2262.     CrossRef
  • Ghrelin deficiency in patients with type 2 diabetes: the relationships with obesity, adipose tissue dysfunction and glucose variability
    V V Klimontov, D M Bulumbaeva, O N Fazullina, N B Orlov, V I Konenkov
    Terapevticheskii arkhiv.2019; 91(10): 28.     CrossRef
  • Treatment preference for weekly versus daily DPP-4 inhibitors in patients with type 2 diabetes mellitus: outcomes from the TRINITY trial
    Shu Meguro, Shingo Matsui, Hiroshi Itoh
    Current Medical Research and Opinion.2019; 35(12): 2071.     CrossRef
  • Glucose Variables in Type 1 Diabetes Studies With Dapagliflozin: Pooled Analysis of Continuous Glucose Monitoring Data From DEPICT-1 and -2
    Chantal Mathieu, Paresh Dandona, Moshe Phillip, Tal Oron, Marcus Lind, Lars Hansen, Fredrik Thorén, John Xu, Anna Maria Langkilde
    Diabetes Care.2019; 42(6): 1081.     CrossRef
  • Time in Range: Ein neuer Parameter – komplementär zum HbA 1c
    Thomas Danne, Olga Kordonouri, Torben Biester, Thorsten Siegmund, Jens Kröger, Peter Bramlage, Thomas Haak
    Deutsches Ärzteblatt Online.2019;[Epub]     CrossRef
  • Glucose variability during delirium in diabetic and non-diabetic intensive care unit patients: A prospective cohort study
    Kris van Keulen, Wilma Knol, Svetlana V. Belitser, Irene J. Zaal, Paul D. van der Linden, Eibert R. Heerdink, Toine C. G. Egberts, Arjen J. C. Slooter, Noël C. Barengo
    PLOS ONE.2018; 13(11): e0205637.     CrossRef
  • Association of various glycemic variability indices and vascular outcomes in type-2 diabetes patients
    Lei Tong, Chen Chi, Zhiguo Zhang
    Medicine.2018; 97(21): e10860.     CrossRef
  • Glycemic Variability: How to Measure and Its Clinical Implication for Type 2 Diabetes
    Guillermo E. Umpierrez, Boris P. Kovatchev
    The American Journal of the Medical Sciences.2018; 356(6): 518.     CrossRef
  • Glycemic Variability Percentage: A Novel Method for Assessing Glycemic Variability from Continuous Glucose Monitor Data
    Thomas A. Peyser, Andrew K. Balo, Bruce A. Buckingham, Irl B. Hirsch, Arturo Garcia
    Diabetes Technology & Therapeutics.2018; 20(1): 6.     CrossRef
  • Impact of Insulin Degludec in Hospitalized Patients With and Without Type 2 Diabetes Requiring Parenteral/Enteral Nutrition: An Observational Study
    Giuseppe Fatati, Agnese Di Donato, Ilenia Grandone, Pina Menicocci, Eva Mirri, Giuseppe Prosperini, Marco Scardapane, Maria Chiara Rossi, Mariangela Palazzi
    Advances in Therapy.2018; 35(6): 809.     CrossRef
  • Long-lasting Glucagon-like Peptide 1 Analogue Exendin-4 Ameliorates the Secretory and Synthetic Function of Islets Isolated From Severely Scalded Rats
    Dongxu Zhao, Li Ma, Chuanan Shen, Dawei Li, Wenfeng Cheng, Yuru Shang, Zhaoxing Liu, Xin Wang, Kai Yin
    Journal of Burn Care & Research.2018; 39(4): 545.     CrossRef
  • Social support effects on diabetes management by South African emerging adults: A replication and extension study
    Elné Visagie, Esmé van Rensburg, Elmarí Deacon
    Journal of Psychology in Africa.2018; 28(6): 504.     CrossRef
  • All Patients Should Be Screened for Diabetes Before Total Joint Arthroplasty
    Noam Shohat, Karan Goswami, Majd Tarabichi, Emily Sterbis, Timothy L. Tan, Javad Parvizi
    The Journal of Arthroplasty.2018; 33(7): 2057.     CrossRef
  • Devoting attention to glucose variability and hypoglycaemia in type 2 diabetes
    Martin K. Rutter
    Diabetologia.2018; 61(1): 43.     CrossRef
  • Duration of storage influences the hemoglobin rising effect of red blood cells in patients undergoing major abdominal surgery
    Oliver Hunsicker, Katarina Hessler, Alexander Krannich, Willehad Boemke, Ioana Braicu, Jalid Sehouli, Oliver Meyer, Axel Pruß, Claudia Spies, Aarne Feldheiser
    Transfusion.2018; 58(8): 1870.     CrossRef
  • Different Indexes of Glycemic Variability as Identifiers of Patients with Risk of Hypoglycemia in Type 2 Diabetes Mellitus
    Ana M. Gómez, Oscar M. Muñoz, Alejandro Marin, Maria Camila Fonseca, Martin Rondon, María Alejandra Robledo Gómez, Andrei Sanko, Dilcia Lujan, Maira García-Jaramillo, Fabian Mauricio León Vargas
    Journal of Diabetes Science and Technology.2018; 12(5): 1007.     CrossRef
  • Glucose concentrations after insulin‐induced hypoglycemia and glycemic variability in healthy and diabetic cats
    Eric Zini, Elena Salesov, Perrine Dupont, Laura Moretto, Barbara Contiero, Thomas A. Lutz, Claudia E. Reusch
    Journal of Veterinary Internal Medicine.2018; 32(3): 978.     CrossRef
  • Assessment of Glycemic Variability May Be the Next Step in Optimizing Patients for Total Joint Arthroplasty
    Charles N. Cornell
    Journal of Bone and Joint Surgery.2018; 100(13): e92.     CrossRef
  • Glucose Variability and the Use of Continuous Glucose Monitors in People With Type 1 and Type 2 Diabetes
    Betty Lu, Jennifer D. Goldman
    AADE in Practice.2018; 6(6): 22.     CrossRef
  • Emerging Technologies for Diabetes Care
    Timothy S. Bailey, John Walsh, Jenine Y. Stone
    Diabetes Technology & Therapeutics.2018; 20(S2): S2-78.     CrossRef
  • Exercise Timing in Type 2 Diabetes Mellitus: A Systematic Review
    SHAUN Y. M. TEO, JILL A. KANALEY, KYM J. GUELFI, SUMMER B. COOK, JEFFREY J. HEBERT, MITCHELL R. L. FORREST, TIMOTHY J. FAIRCHILD
    Medicine & Science in Sports & Exercise.2018; 50(12): 2387.     CrossRef
  • FATORES DE RISCO ASSOCIADOS À HIPOGLICEMIA E ANÁLISE DE EVENTOS ADVERSOS EM UMA TERAPIA INTENSIVA
    Keroulay Estebanez Roque, Andrea Rodrigues Gomes da Silva, Mario Henrique Bravo de Almeida Santos, Enirtes Caetano Prates Melo
    Texto & Contexto - Enfermagem.2018;[Epub]     CrossRef
  • Decreased Retinal Thickness in Type 1 Diabetic Children with Signs of Nonproliferative Diabetic Retinopathy
    P. Ruiz-Ocaña, P. Espinoza Requena, A. Alonso-Ojembarrena, P. Alemany Márquez, S. Jiménez Carmona, A. M. Lechuga-Sancho
    International Journal of Endocrinology.2018; 2018: 1.     CrossRef
  • The impact of dapagliflozin on glucose excursions related to early proatherogenic derangement in the aortic wall
    Agnieszka Stelmaszyk, Anna Wesołowska, Karolina Pomieczyńska, Saule Iskakova, Magdalena Frydrychowicz, Grzegorz Dworacki, Marzena Dworacka
    Saudi Pharmaceutical Journal.2018; 26(8): 1192.     CrossRef
  • The Relationship Between Social Support and Type 2 Diabetes Risk
    Kristin G. Maki
    Communication Research Reports.2018; 35(1): 12.     CrossRef
  • Early glycemia and mortality in critically ill septic patients: Interaction with insulin-treated diabetes
    Fraser Magee, Michael Bailey, David V. Pilcher, Johan Mårtensson, Rinaldo Bellomo
    Journal of Critical Care.2018; 45: 170.     CrossRef
  • Glycemic behavior in patients with type 2 diabetes during a short period of a combined training program
    Daniela Bassi, Almir Vieira Dibai-Filho, Leonardo Hesley Durans, Renata Gonçalves Mendes, Flávia Cristina Rossi Caruso, Vivian Maria Arakelian, Audrey Borghi-Silva
    Motriz: Revista de Educação Física.2018;[Epub]     CrossRef
  • Glycemic variability in the development of cardiovascular complications in diabetes
    Annunziata Nusca, Dario Tuccinardi, Marzia Albano, Camilla Cavallaro, Elisabetta Ricottini, Silvia Manfrini, Paolo Pozzilli, Germano Di Sciascio
    Diabetes/Metabolism Research and Reviews.2018;[Epub]     CrossRef
  • Continuous glucose monitoring: data management and evaluation by patients and health care professionals – current situation and developments
    Guido Freckmann, Jochen Mende
    LaboratoriumsMedizin.2018; 42(6): 225.     CrossRef
  • Glucotypes reveal new patterns of glucose dysregulation
    Heather Hall, Dalia Perelman, Alessandra Breschi, Patricia Limcaoco, Ryan Kellogg, Tracey McLaughlin, Michael Snyder, Jason Locasale
    PLOS Biology.2018; 16(7): e2005143.     CrossRef
  • The Role of Glycemic Control and Variability in Diabetic Retinopathy
    Irini P. Chatziralli
    Diabetes Therapy.2018; 9(1): 431.     CrossRef
  • Cardiovascular Autonomic Neuropathy Predicts Higher HbA1c Variability in Subjects with Type 2 Diabetes Mellitus
    Yeoree Yang, Eun-Young Lee, Jae-Hyoung Cho, Yong-Moon Park, Seung-Hyun Ko, Kun-Ho Yoon, Moo-Il Kang, Bong-Yun Cha, Seung-Hwan Lee
    Diabetes & Metabolism Journal.2018; 42(6): 496.     CrossRef
  • Verapamil is a potential therapy for hypoglycaemic brain injury
    Janice J. Hwang, Robert S. Sherwin
    Nature Reviews Endocrinology.2018; 14(8): 443.     CrossRef
  • The effect of impaired glucose metabolism on weight loss in multidisciplinary childhood obesity treatment
    Julie T. Kloppenborg, Michael Gamborg, Cilius E. Fonvig, Tenna R. H. Nielsen, Oluf Pedersen, Jesper Johannesen, Torben Hansen, Jens‐Christian Holm
    Pediatric Diabetes.2018; 19(3): 366.     CrossRef
  • Increased glycemic variability in type 2 diabetes patients treated with insulin - a real-life clinical practice, continuous glucose monitoring (CGM) study
    Cristian-Ioan Crăciun, Anca-Elena Crăciun, Adriana Rusu, Corina Ioana Bocşan, Nicolae Hâncu, Anca Dana Buzoianu
    Revista Romana de Medicina de Laborator.2018; 26(3): 345.     CrossRef
  • Lixisenatide reduces glycaemic variability in insulin‐treated patients with type 2 diabetes
    Guillermo E. Umpierrez, David O'Neal, Andres DiGenio, Ronald Goldenberg, Eric Hernandez‐Triana, Jay Lin, Cheol‐Young Park, Eric Renard, Boris Kovatchev
    Diabetes, Obesity and Metabolism.2017; 19(9): 1317.     CrossRef
  • The relationship between fasting blood glucose variability and coronary artery collateral formation in type 2 diabetes patients with coronary artery disease
    Gang Cheng, Hilda Mahmoudi, Binna Chokshi, Marlena Fernandez, Vahid Kazemi, Nader Lamaa
    Coronary Artery Disease.2017; 28(6): 486.     CrossRef
  • How Can We Realize the Clinical Benefits of Continuous Glucose Monitoring?
    Ramzi A. Ajjan
    Diabetes Technology & Therapeutics.2017; 19(S2): S-27.     CrossRef
  • Effect of gemigliptin on glycaemic variability in patients with type 2 diabetes (STABLE study)
    Se E. Park, Byung W. Lee, Jae H. Kim, Woo J. Lee, Jae H. Cho, Chang H. Jung, Seung H. Lee, Sunghwan Suh, Gwong C. Hur, Sung H. Kim, Young H. Jang, Cheol Y. Park
    Diabetes, Obesity and Metabolism.2017; 19(6): 892.     CrossRef
  • Glucose variability indices predict the episodes of nocturnal hypoglycemia in elderly type 2 diabetic patients treated with insulin
    Vadim V. Klimontov, Natalia E. Myakina
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2017; 11(2): 119.     CrossRef
  • A Multicenter Real-Life Study on the Effect of Flash Glucose Monitoring on Glycemic Control in Patients with Type 1 and Type 2 Diabetes
    Ranjit Mohan Anjana, Jothydev Kesavadev, Deshpande Neeta, Mangesh Tiwaskar, Rajendra Pradeepa, Saravanan Jebarani, Suresh Thangamani, Nadiminty Ganapathi Sastry, Srivastava Brijendra Kumar, Muthu Ramu, Pokal Prasanna Kumar Gupta, Jayaprakash Vignesh, Sund
    Diabetes Technology & Therapeutics.2017; 19(9): 533.     CrossRef
  • Association Between Coronary Artery Calcification and the Hemoglobin Glycation Index: The Kangbuk Samsung Health Study
    Eun-Jung Rhee, Jung-Hwan Cho, Hyemi Kwon, Se Eun Park, Cheol-Young Park, Ki-Won Oh, Sung-Woo Park, Won-Young Lee
    The Journal of Clinical Endocrinology & Metabolism.2017; 102(12): 4634.     CrossRef
  • Comparison of Glucose Area Under the Curve Measured Using Minimally Invasive Interstitial Fluid Extraction Technology with Continuous Glucose Monitoring System in Diabetic Patients
    Mei Uemura, Yutaka Yano, Toshinari Suzuki, Taro Yasuma, Toshiyuki Sato, Aya Morimoto, Samiko Hosoya, Chihiro Suminaka, Hiromu Nakajima, Esteban C. Gabazza, Yoshiyuki Takei
    Diabetes & Metabolism Journal.2017; 41(4): 265.     CrossRef
  • Glycemic Variability and Its Association With Demographics and Lifestyles in a General Adult Population
    Francisco Gude, Pablo Díaz-Vidal, Cintia Rúa-Pérez, Manuela Alonso-Sampedro, Carmen Fernández-Merino, Jesús Rey-García, Carmen Cadarso-Suárez, Marcos Pazos-Couselo, José Manuel García-López, Arturo Gonzalez-Quintela
    Journal of Diabetes Science and Technology.2017; 11(4): 780.     CrossRef
  • Glycaemic variability in patients with severe sepsis or septic shock admitted to an Intensive Care Unit
    L.M. Silveira, A. Basile-Filho, E.A. Nicolini, C.A.M. Dessotte, G.C.S. Aguiar, A.M. Stabile
    Intensive and Critical Care Nursing.2017; 41: 98.     CrossRef
  • Exenatide once weekly improved 24‐hour glucose control and reduced glycaemic variability in metformin‐treated participants with type 2 diabetes: a randomized, placebo‐controlled trial
    Juan P. Frías, Samer Nakhle, James A. Ruggles, Sergey Zhuplatov, Eric Klein, Rong Zhou, Poul Strange
    Diabetes, Obesity and Metabolism.2017; 19(1): 40.     CrossRef
  • Individualized, patient-centered use of lixisenatide for the treatment of type 2 diabetes mellitus
    Markolf Hanefeld, Denis Raccah, Louis Monnier
    Expert Opinion on Drug Metabolism & Toxicology.2017; 13(3): 311.     CrossRef
  • Glucocorticoid-Induced Diabetes Mellitus: An Important but Overlooked Problem
    Sunghwan Suh, Mi Kyoung Park
    Endocrinology and Metabolism.2017; 32(2): 180.     CrossRef
  • Urinary N-acetyl-β-D-glucosaminidase, an early marker of diabetic kidney disease, might reflect glucose excursion in patients with type 2 diabetes
    So Ra Kim, Yong-ho Lee, Sang-Guk Lee, Eun Seok Kang, Bong-Soo Cha, Jeong-Ho Kim, Byung-Wan Lee
    Medicine.2016; 95(27): e4114.     CrossRef
  • Insulin degludec + liraglutide: a complementary combination
    K. Stinkens, B. Peene, C. Mathieu
    Expert Opinion on Biological Therapy.2016; 16(9): 1171.     CrossRef
  • GLP1-RA Add-on Therapy in Patients with Type 2 Diabetes Currently on a Bolus Containing Insulin Regimen
    Marie L. Davies, David Q. Pham, Scott R. Drab
    Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy.2016; 36(8): 893.     CrossRef
  • Teneligliptin: Heralding Change in Type 2 Diabetes
    Manish Maladkar, Srividya Sankar, Kushal Kamat
    Journal of Diabetes Mellitus.2016; 06(02): 113.     CrossRef
  • Association between estimated blood glucose levels and glycated hemoglobin levels
    Seon-Ah Cha, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2016; 31(3): 457.     CrossRef
  • Metformin attenuates fluctuating glucose-induced endothelial dysfunction through enhancing GTPCH1-mediated eNOS recoupling and inhibiting NADPH oxidase
    Huijie An, Rui Wei, Jing Ke, Jin Yang, Ye Liu, Xian Wang, Guang Wang, Tianpei Hong
    Journal of Diabetes and its Complications.2016; 30(6): 1017.     CrossRef
  • The impact of glycemic variability on diabetic peripheral neuropathy
    Heung Yong Jin, Kyung Ae Lee, Tae Sun Park
    Endocrine.2016; 53(3): 643.     CrossRef
  • The association of serum glycated albumin with the prevalence of diabetic retinopathy in Korean patients with type 2 diabetes mellitus
    Won Seon Jeon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Cheol-Young Park
    Diabetes Research and Clinical Practice.2016; 116: 46.     CrossRef
  • Management of Steroid-induced Hyperglycemia
    Sunghwan Suh, Mi Kyoung Park
    The Journal of Korean Diabetes.2016; 17(3): 174.     CrossRef
  • Comparison of Different Treatment Modalities for Type 1 Diabetes, Including Sensor-Augmented Insulin Regimens, in 52 Weeks of Follow-Up: A COMISAIR Study
    Jan Šoupal, Lenka Petruželková, Milan Flekač, Tomáš Pelcl, Martin Matoulek, Martina Daňková, Jan Škrha, Štěpán Svačina, Martin Prázný
    Diabetes Technology & Therapeutics.2016; 18(9): 532.     CrossRef
  • Heart rate variability is associated with interstitial glucose fluctuations in type 2 diabetic women treated with insulin
    Vadim V. Klimontov, Natalia E. Myakina, Nadezda V. Tyan
    SpringerPlus.2016;[Epub]     CrossRef
Peripheral Arterial Disease in Patients with Type 2 Diabetes Mellitus
Sang Youl Rhee, Young Seol Kim
Diabetes Metab J. 2015;39(4):283-290.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.283
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AbstractAbstract PDFPubReader   

Peripheral arterial disease (PAD) in patients with type 2 diabetes mellitus (T2DM) exhibits broad clinical characteristics and various consequences and is known as one of the major macrovascular complications of T2DM. Atherosclerosis is recognized as the most direct and important cause of PAD, but acute or chronic limb ischemia may be the result of various risk factors. In light of the increasing number of patients who undergo peripheral vascular procedures, the number of subjects who are exposed to the risks for PAD and related complications is increasing. In this review, we will discuss the clinical and epidemiological characteristics of PAD, as well as the clinical significance of PAD in T2DM subjects.

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  • Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation
    Lianhua Liu, Bo Bi, Li Cao, Mei Gui, Feng Ju
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Health Disparities in Nontraumatic Lower Extremity Amputations. A Systematic Review and Meta-Analysis
    Arthur Tarricone, Allen Gee, Karla De La Mata, Louis Primavera, Michael Trepal, Wayne Axman, Vinayak Perake, Prakash Krishnan
    Annals of Vascular Surgery.2023; 88: 410.     CrossRef
  • Peripheral Arterial Disease: A Narrative Review
    Divya Parwani, Mohamed A Ahmed, Anmol Mahawar, Vasavi Rakesh Gorantla
    Cureus.2023;[Epub]     CrossRef
  • Development and validation of a nomogram to predict the risk of peripheral artery disease in patients with type 2 diabetes mellitus
    Jiemei Liang, Jiazhao Song, Tiehui Sun, Lanning Zhang, Shan Xu
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • The interrelationship between diabetes mellitus and peripheral arterial disease
    Konstanze Stoberock, Mark Kaschwich, Shiva Sophia Nicolay, Nazeh Mahmoud, Franziska Heidemann, Henrik C. Rieß, Eike Sebastian Debus, Christian-Alexander Behrendt
    Vasa.2021; 50(5): 323.     CrossRef
  • Evaluation of the American Society of Anesthesiologists Physical Status Classification System in Risk Assessment for Lower Extremity Reconstruction with Free Tissue Transfer
    Andrés A. Maldonado, Rabanus Steinebach, M. Carmen Morillo, Michael Sauerbier
    Journal of Reconstructive Microsurgery.2021; 37(07): 622.     CrossRef
  • Sensitivity and Specificity of Ankle Brachial Index (ABI) and Pulse Wave Handheld Doppler (PWHD) Compared with Angiography as Diagnostic Test for Patients with Peripheral Artery Disease (PAD)
    Valdy Thomas, Djony Tjandra, Richard Sumangkut, Billy Karundeng, Grace Korompis
    Journal of Indonesian Society for Vascular and Endovascular Surgery.2021; 2(1): 10.     CrossRef
  • Healthcare Costs Associated with Complications in Patients with Type 2 Diabetes among 1.85 Million Adults in Beijing, China
    Jun-Hui Wu, Yao Wu, Zi-Jing Wang, Yi-Qun Wu, Tao Wu, Meng-Ying Wang, Xiao-Wen Wang, Si-Yue Wang, Jia-Ting Wang, Huan Yu, Yong-Hua Hu
    International Journal of Environmental Research and Public Health.2021; 18(7): 3693.     CrossRef
  • Clinical considerations after endovascular therapy of peripheral artery disease
    Stefanos Giannopoulos, Ehrin J. Armstrong
    Expert Review of Cardiovascular Therapy.2021; 19(5): 369.     CrossRef
  • Intensive Blood Pressure Control and Diabetes Mellitus‐Related Limb Events in Patients With Type 2 Diabetes Mellitus: Reanalysis of ACCORD
    Kenneth Tran, Margaret Stedman, Tara I. Chang
    Journal of the American Heart Association.2021;[Epub]     CrossRef
  • Major adverse cardiovascular and limb events in patients with diabetes and concomitant peripheral artery disease treated with sodium glucose cotransporter 2 inhibitor versus dipeptidyl peptidase-4 inhibitor
    Hsin-Fu Lee, Shao-Wei Chen, Jia-Rou Liu, Pei-Ru Li, Lung-Sheng Wu, Shang-Hung Chang, Yung-Hsin Yeh, Chi-Tai Kuo, Yi-Hsin Chan, Lai-Chu See
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Skeletal muscle microvascular insulin resistance in type 2 diabetes is not improved by eight weeks of regular walking
    Lauren K. Park, Elizabeth J. Parks, Ryan J. Pettit-Mee, Makenzie L. Woodford, Thaysa Ghiarone, James A. Smith, Allan R. K. Sales, Luis A. Martinez-Lemus, Camila Manrique-Acevedo, Jaume Padilla
    Journal of Applied Physiology.2020; 129(2): 283.     CrossRef
  • Clinical Utility of the Ankle-Brachial Index and Toe Brachial Index in Patients with Diabetic Foot Ulcers
    Mutasem Ababneh, Mousab Y. Al Ayed, Asirvatham A. Robert, Mohamed A. Al Dawish
    Current Diabetes Reviews.2020; 16(3): 270.     CrossRef
  • MicroRNA Profile of Patients with Chronic Limb-Threatening Ischemia
    Muzammil H. Syed, Abdelrahman Zamzam, Jason Valencia, Hamzah Khan, Shubha Jain, Krishna K. Singh, Rawand Abdin, Mohammad Qadura
    Diagnostics.2020; 10(4): 230.     CrossRef
  • ¿Pensamos en la enfermedad arterial periférica de los miembros inferiores en nuestros pacientes mayores con diabetes antes de que aparezcan las complicaciones?
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    Revista Española de Geriatría y Gerontología.2020; 55(4): 236.     CrossRef
  • Higher Mortality Rate in Moderate-to-Severe Thoracoabdominal Injury Patients with Admission Hyperglycemia Than Nondiabetic Normoglycemic Patients
    Wei-Ti Su, Shao-Chun Wu, Sheng-En Chou, Chun-Ying Huang, Shiun-Yuan Hsu, Hang-Tsung Liu, Ching-Hua Hsieh
    International Journal of Environmental Research and Public Health.2019; 16(19): 3562.     CrossRef
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    Matthew T. Lewis, Jonathan D. Kasper, Jason N. Bazil, Jefferson C. Frisbee, Robert W. Wiseman
    International Journal of Molecular Sciences.2019; 20(21): 5271.     CrossRef
  • Diabetes and risk of peripheral artery disease in patients undergoing first-time coronary angiography between 2000 and 2012 – a nationwide study
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    BMC Cardiovascular Disorders.2019;[Epub]     CrossRef
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    Yu Jin Kim, Suk Chon, Seungjoon Oh, Jeong-taek Woo, Sung Woon Kim, Sang Youl Rhee
    The Korean Journal of Internal Medicine.2019; 34(1): 125.     CrossRef
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    Circulation Journal.2019; 83(9): 1929.     CrossRef
  • Preoperative hemoglobin A1c levels and increased risk of adverse limb events in diabetic patients undergoing infrainguinal lower extremity bypass surgery in the Vascular Quality Initiative
    Nikhil Singh, Chubing Zeng, Juan Pablo Lewinger, Aaron M. Wolfson, David Shavelle, Fred Weaver, Parveen K. Garg
    Journal of Vascular Surgery.2019; 70(4): 1225.     CrossRef
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    International Journal of Molecular Sciences.2019; 20(24): 6258.     CrossRef
  • Lower sensitivity of ankle-brachial index measurements among people suffering with diabetes-associated vascular disorders: A systematic review
    Ayman Abouhamda, Majid Alturkstani, Yousef Jan
    SAGE Open Medicine.2019; 7: 205031211983503.     CrossRef
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    Scientific Reports.2018;[Epub]     CrossRef
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    Korean Circulation Journal.2018; 48(9): 813.     CrossRef
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    Yue Zhao, Xiaofei An, Jingshun Liu, Su Liu, Weilong Xu, Xu Yu, Jiangyi Yu
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    Journal of Diabetes and its Complications.2017; 31(2): 375.     CrossRef
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    Jaume Padilla, Paul J. Fadel
    American Journal of Physiology-Heart and Circulatory Physiology.2017; 313(4): H722.     CrossRef
  • Mortality Rate Associated with Admission Hyperglycemia in Traumatic Femoral Fracture Patients Is Greater Than Non-Diabetic Normoglycemic Patients but Not Diabetic Normoglycemic Patients
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    International Journal of Environmental Research and Public Health.2017; 15(1): 28.     CrossRef
  • Augmented Contractility to Noradrenaline in Femoral Arteries from the Otsuka Long-Evans Tokushima Fatty Rat, a Model of Type 2 Diabetes
    Shota Kobayashi, Takayuki Matsumoto, Makoto Ando, Maika Iguchi, Kumiko Taguchi, Tsuneo Kobayashi
    Biological & Pharmaceutical Bulletin.2017; 40(12): 2061.     CrossRef
  • Comparison of Antidiabetic Medications during the Treatment of Atherosclerosis in T2DM Patients
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    Mediators of Inflammation.2017; 2017: 1.     CrossRef
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    M. Pulido-Moran, P. Bullon, J.M. Morillo, M. Battino, J.L. Quiles, MCarmen Ramirez-Tortosa
    Archives of Oral Biology.2017; 77: 62.     CrossRef
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    Scientific Reports.2016;[Epub]     CrossRef
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    Injury.2016; 47(11): 2558.     CrossRef
Probiotics as Complementary Treatment for Metabolic Disorders
Mélanie Le Barz, Fernando F. Anhê, Thibaut V. Varin, Yves Desjardins, Emile Levy, Denis Roy, Maria C. Urdaci, André Marette
Diabetes Metab J. 2015;39(4):291-303.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.291
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AbstractAbstract PDFPubReader   

Over the past decade, growing evidence has established the gut microbiota as one of the most important determinants of metabolic disorders such as obesity and type 2 diabetes. Indeed, obesogenic diet can drastically alter bacterial populations (i.e., dysbiosis) leading to activation of pro-inflammatory mechanisms and metabolic endotoxemia, therefore promoting insulin resistance and cardiometabolic disorders. To counteract these deleterious effects, probiotic strains have been developed with the aim of reshaping the microbiome to improve gut health. In this review, we focus on benefits of widely used probiotics describing their potential mechanisms of action, especially their ability to decrease metabolic endotoxemia by restoring the disrupted intestinal mucosal barrier. We also discuss the perspective of using new bacterial strains such as butyrate-producing bacteria and the mucolytic Akkermansia muciniphila, as well as the use of prebiotics to enhance the functionality of probiotics. Finally, this review introduces the notion of genetically engineered bacterial strains specifically developed to deliver anti-inflammatory molecules to the gut.

Citations

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  • Akkermansia muciniphila and Alcohol‐Related Liver Diseases. A Systematic Review
    Lydie Sparfel, Sandy Ratodiarivony, Elisa Boutet‐Robinet, Sandrine Ellero‐Simatos, Anne Jolivet‐Gougeon
    Molecular Nutrition & Food Research.2024;[Epub]     CrossRef
  • Next generation probiotics: Engineering live biotherapeutics
    Sanjeeva Kumar Murali, Thomas J. Mansell
    Biotechnology Advances.2024; 72: 108336.     CrossRef
  • metaProbiotics: a tool for mining probiotic from metagenomic binning data based on a language model
    Shufang Wu, Tao Feng, Waijiao Tang, Cancan Qi, Jie Gao, Xiaolong He, Jiaxuan Wang, Hongwei Zhou, Zhencheng Fang
    Briefings in Bioinformatics.2024;[Epub]     CrossRef
  • Dietary supplementation of Lactobacillus brevis SAD ameliorates high-fat diet-induced hyperglycemia and associated metabolic issues in Swiss albino mice
    Amlan Jyoti Ghosh, Supriyo Ghosh, Rejuan Islam, Sagar Sarkar, Tilak Saha
    Egyptian Journal of Basic and Applied Sciences.2024; 11(1): 148.     CrossRef
  • Systematic review of probiotics as an adjuvant treatment for psychiatric disorders
    Evan Forth, Benjamin Buehner, Ana Storer, Cassandra Sgarbossa, Roumen Milev, Arthi Chinna Meyyappan
    Frontiers in Behavioral Neuroscience.2023;[Epub]     CrossRef
  • Antimicrobial-prebiotic: Novel dual approach of pomegranate peel extract in vitro and in food system
    Marwa Al-Moghazy, Doha H. Abou baker, Hoda S. El-Sayed
    Biocatalysis and Agricultural Biotechnology.2023; 49: 102664.     CrossRef
  • Pediococcus acidilactici pA1c® Improves the Beneficial Effects of Metformin Treatment in Type 2 Diabetes by Controlling Glycaemia and Modulating Intestinal Microbiota
    Miriam Cabello-Olmo, María Oneca, Raquel Urtasun, María J. Pajares, Saioa Goñi, José I. Riezu-Boj, Fermín I. Milagro, Josune Ayo, Ignacio J. Encio, Miguel Barajas, Miriam Araña
    Pharmaceutics.2023; 15(4): 1203.     CrossRef
  • Anti-Inflammatory, Antioxidant, Metabolic and Gut Microbiota Modulation Activities of Probiotic in Cardiac Remodeling Condition: Evidence from Systematic Study and Meta-Analysis of Randomized Controlled Trials
    Nurpudji Astuti Taslim, Muhammad Yusuf, Ade Meidian Ambari, Imke Maria Del Rosario Puling, Filzatuz Zahro Ibrahim, Hardinsyah Hardinsyah, Rudy Kurniawan, William Ben Gunawan, Nelly Mayulu, Victor F. F. Joseph, Nindy Sabrina, Mochammad Rizal, Trina Ekawati
    Probiotics and Antimicrobial Proteins.2023; 15(4): 1049.     CrossRef
  • Probiotics and Health: A Review
    Priti Tomar, Shikha Sharma, Neha Dangi
    Current Probiotics.2023;[Epub]     CrossRef
  • SCD Probiotics mitigate cafeteria diet‐induced liver damage in Wistar rats during development
    Taha Ceylani, Harun Önlü, Seda Keskin, Hüseyin Allahverdi, Hikmet Taner Teker
    Journal of Gastroenterology and Hepatology.2023; 38(12): 2142.     CrossRef
  • Lactobacillus acidophilus ameliorates obesity in mice through modulation of gut microbiota dysbiosis and intestinal permeability
    Yongbo Kang, Xing Kang, Hao Yang, Haixia Liu, Xiaodan Yang, Qingqing Liu, Haixia Tian, Yang Xue, Peng Ren, Xiaoyu Kuang, Yue Cai, Mingwei Tong, Lin Li, Weiping Fan
    Pharmacological Research.2022; 175: 106020.     CrossRef
  • Role of probiotics and prebiotics in mitigation of different diseases
    Sabeena Manzoor, Shoib Mohmad Wani, Sajad Ahmad Mir, Danish Rizwan
    Nutrition.2022; 96: 111602.     CrossRef
  • Balancing reactive oxygen species generation by rebooting gut microbiota
    Vandna Singh, Shruti Ahlawat, Hari Mohan, Sarvajeet Singh Gill, Krishna Kant Sharma
    Journal of Applied Microbiology.2022; 132(6): 4112.     CrossRef
  • Grape seed and skin extract, a potential prebiotic with anti-obesity effect through gut microbiota modulation
    Mohamed Mokrani, Kamel Charradi, Ferid Limam, Ezzedine Aouani, Maria C. Urdaci
    Gut Pathogens.2022;[Epub]     CrossRef
  • Anticandidal and Antibiofilm Effect of Synbiotics including Probiotics and Inulin-Type Fructans
    Ricardo García-Gamboa, Miguel Domínguez-Simi, Misael S. Gradilla-Hernández, Jorge Bravo, Andrés Moya, Blanca Ruiz-Álvarez, Marisela González-Avila
    Antibiotics.2022; 11(8): 1135.     CrossRef
  • The Biotics Family: Current Knowledge and Future Perspectives in Metabolic Diseases
    Codrina-Madalina Palade, Georgiana-Anca Vulpoi, Radu-Alexandru Vulpoi, Vasile Liviu Drug, Oana-Bogdana Barboi, Manuela Ciocoiu
    Life.2022; 12(8): 1263.     CrossRef
  • The role of probiotic supplementation on insulin resistance in obesity associated diabetes: A mini review
    Seeme Saha, S M Niazur Rahman, Nazmun Nahar Alam
    Biomedicine.2022; 42(4): 651.     CrossRef
  • In Vivo and In Silico Investigation of the Anti-Obesity Effects of Lactiplantibacillus plantarum Combined with Chia Seeds, Green Tea, and Chitosan in Alleviating Hyperlipidemia and Inflammation
    Dalia Elebeedy, Aml Ghanem, Asmaa Saleh, Mona H. Ibrahim, Omkulthom Al Kamaly, Mohammed A. S. Abourehab, Mohamed A. Ali, Ahmed I. Abd El Maksoud, Mahmoud A. El Hassab, Wagdy M. Eldehna
    International Journal of Molecular Sciences.2022; 23(20): 12200.     CrossRef
  • Machine learning for data integration in human gut microbiome
    Peishun Li, Hao Luo, Boyang Ji, Jens Nielsen
    Microbial Cell Factories.2022;[Epub]     CrossRef
  • Probiotics Supplementation on Cardiac Remodeling Following Myocardial Infarction: a Single-Center Double-Blind Clinical Study
    Jalal Moludi, Somaieh Saiedi, Behzad Ebrahimi, Mohammad Alizadeh, Yaser Khajebishak, Sevda Saleh Ghadimi
    Journal of Cardiovascular Translational Research.2021; 14(2): 299.     CrossRef
  • Draft genome sequence of Lactobacillus plantarum strain DMR17 isolated from homemade cow dahi of Sikkim Himalayan region: an evaluation of lactate fermentation and secondary metabolism
    Ranjan Kaushal Tirwa, Ishfaq Nabi Najar, Nagendra Thakur, Lalit Kumar Chaurasia, Buddhiman Tamang
    Archives of Microbiology.2021; 203(1): 305.     CrossRef
  • Role of Metabolic Endotoxemia in Systemic Inflammation and Potential Interventions
    Shireen Mohammad, Christoph Thiemermann
    Frontiers in Immunology.2021;[Epub]     CrossRef
  • Probiotics ameliorate chronic low-grade inflammation and fat accumulation with gut microbiota composition change in diet-induced obese mice models
    Hyunchae Joung, Jaeryang Chu, Byoung-Kook Kim, In-Suk Choi, Woosang Kim, Tae-Sik Park
    Applied Microbiology and Biotechnology.2021; 105(3): 1203.     CrossRef
  • Probiotics and Prebiotics Having Broad Spectrum Anticancer Therapeutic Potential: Recent Trends and Future Perspectives
    Varruchi Sharma, Nitin Sharma, Imran Sheikh, Vikas Kumar, Nirmala Sehrawat, Mukesh Yadav, Gobind Ram, Atul Sankhyan, Anil K. Sharma
    Current Pharmacology Reports.2021; 7(2): 67.     CrossRef
  • Metagenomic and metatranscriptomic profiling of Lactobacillus casei Zhang in the human gut
    Jicheng Wang, Jiachao Zhang, Wenjun Liu, Heping Zhang, Zhihong Sun
    npj Biofilms and Microbiomes.2021;[Epub]     CrossRef
  • A Brief Overview on Probiotics: The Health Friendly Microbes
    Sanjukta Mishra, Swastik Acharya
    Biomedical and Pharmacology Journal.2021; 14(4): 1869.     CrossRef
  • Administration of indigenous probiotics modulate high-fat diet-induced metabolic syndrome in Sprague Dawley rats
    Sakshi Khanna, Sanisha Walia, Kanthi Kiran Kondepudi, Geeta Shukla
    Antonie van Leeuwenhoek.2020; 113(9): 1345.     CrossRef
  • Probiotic-directed modulation of gut microbiota is basal microbiome dependent
    Qiangchuan Hou, Feiyan Zhao, Wenjun Liu, Ruirui Lv, Wei Wei Thwe Khine, Jia Han, Zhihong Sun, Yuan-Kun Lee, Heping Zhang
    Gut Microbes.2020; 12(1): 1736974.     CrossRef
  • Bifidobacterium pseudolongum reduces triglycerides by modulating gut microbiota in mice fed high-fat food
    Ting-bei Bo, Jing Wen, Yuan-chun Zhao, Shuang-jie Tian, Xue-ying Zhang, De-hua Wang
    The Journal of Steroid Biochemistry and Molecular Biology.2020; 198: 105602.     CrossRef
  • Light at night affects gut microbial community and negatively impacts host physiology in diurnal animals: Evidence from captive zebra finches
    Indu Malik, Twinkle Batra, Subhajit Das, Vinod Kumar
    Microbiological Research.2020; 241: 126597.     CrossRef
  • Lactobacillus rhamnosus2016SWU.05.0601 regulates immune balance in ovalbumin‐sensitized mice by modulating expression of the immune‐related transcription factors and gut microbiota
    Jiajia Song, Yang Li, Jian Li, Hongwei Wang, Yu Zhang, Huayi Suo
    Journal of the Science of Food and Agriculture.2020; 100(13): 4930.     CrossRef
  • Probiotic Cocktail Identified by Microbial Network Analysis Inhibits Growth, Virulence Gene Expression, and Host Cell Colonization of Vancomycin-Resistant Enterococci
    Wei-Sheng Sun, Yuarn-Jang Lee, Kun-Nan Tsai, Yu-Hsuan Ho, Shiuh-Bin Fang
    Microorganisms.2020; 8(6): 816.     CrossRef
  • Potential therapeutic applications of the gut microbiome in obesity: from brain function to body detoxification
    Béatrice S.-Y. Choi, Laurence Daoust, Geneviève Pilon, André Marette, Angelo Tremblay
    International Journal of Obesity.2020; 44(9): 1818.     CrossRef
  • The Multispecies Probiotic Effectively Reduces Homocysteine Concentration in Obese Women: A Randomized Double-Blind Placebo-Controlled Study
    Karolina Majewska, Matylda Kręgielska-Narożna, Hieronim Jakubowski, Monika Szulińska, Paweł Bogdański
    Journal of Clinical Medicine.2020; 9(4): 998.     CrossRef
  • Impact of probiotics and prebiotics targeting metabolic syndrome
    Douglas Xavier-Santos, Raquel Bedani, Egidio Dorea Lima, Susana Marta Isay Saad
    Journal of Functional Foods.2020; 64: 103666.     CrossRef
  • Composite probiotics alleviate type 2 diabetes by regulating intestinal microbiota and inducing GLP-1 secretion in db/db mice
    Yanming Wang, Dinareer Dilidaxi, Yuche Wu, Jialehasibieke Sailike, Xin Sun, Xin-hua Nabi
    Biomedicine & Pharmacotherapy.2020; 125: 109914.     CrossRef
  • Lactic Acid Bacteria: Food Safety and Human Health Applications
    Raphael D. Ayivi, Rabin Gyawali, Albert Krastanov, Sulaiman O. Aljaloud, Mulumebet Worku, Reza Tahergorabi, Roberta Claro da Silva, Salam A. Ibrahim
    Dairy.2020; 1(3): 202.     CrossRef
  • Probiotics supplementation and insulin resistance: a systematic review
    Bárbara Izabel Moraes Salles, Débora Cioffi, Sandra Roberta G. Ferreira
    Diabetology & Metabolic Syndrome.2020;[Epub]     CrossRef
  • Impact of Gut Microbiota Composition on Onset and Progression of Chronic Non-Communicable Diseases
    Annalisa Noce, Giulia Marrone, Francesca Di Daniele, Eleonora Ottaviani, Georgia Wilson Jones, Roberta Bernini, Annalisa Romani, Valentina Rovella
    Nutrients.2019; 11(5): 1073.     CrossRef
  • Anti-Obesity Effects of Lactobacillus fermentum CQPC05 Isolated from Sichuan Pickle in High-Fat Diet-Induced Obese Mice through PPAR-α Signaling Pathway
    Kai Zhu, Fang Tan, Jianfei Mu, Ruokun Yi, Xianrong Zhou, Xin Zhao
    Microorganisms.2019; 7(7): 194.     CrossRef
  • Gut Microbiota Alteration After Long-Term Consumption of Probiotics in the Elderly
    Renyuan Gao, Xiaohui Zhang, Linsheng Huang, Rongrong Shen, Huanlong Qin
    Probiotics and Antimicrobial Proteins.2019; 11(2): 655.     CrossRef
  • Effects of Regular Kefir Consumption on Gut Microbiota in Patients with Metabolic Syndrome: A Parallel-Group, Randomized, Controlled Study
    Ezgi BELLIKCI-KOYU, Banu Pınar SARER-YUREKLI, Yakut AKYON, Fadime AYDIN-KOSE, Cem KARAGOZLU, Ahmet Gokhan OZGEN, Annika BRINKMANN, Andreas NITSCHE, Koray ERGUNAY, Engin YILMAZ, Zehra BUYUKTUNCER
    Nutrients.2019; 11(9): 2089.     CrossRef
  • In vivo screening of multiple bacterial strains identifies Lactobacillus rhamnosus Lb102 and Bifidobacterium animalis ssp. lactis Bf141 as probiotics that imp
    Mélanie Le Barz, Noëmie Daniel, Thibault V. Varin, Sabrine Naimi, Véronique Demers‐Mathieu, Geneviève Pilon, Julie Audy, Émilie Laurin, Denis Roy, Maria C. Urdaci, Daniel St‐Gelais, Ismail Fliss, André Marette
    The FASEB Journal.2019; 33(4): 4921.     CrossRef
  • Dose-dependent and strain-dependent anti-obesity effects ofLactobacillus sakeiin a diet induced obese murine model
    Yosep Ji, Young Mee Chung, Soyoung Park, Dahye Jeong, Bongjoon Kim, Wilhelm Heinrich Holzapfel
    PeerJ.2019; 7: e6651.     CrossRef
  • Influence of a multistrain probiotic on body composition and mood in female occupational shift workers
    Abbie E. Smith-Ryan, Meredith G. Mock, Eric T. Trexler, Katie R. Hirsch, Malia N.M. Blue
    Applied Physiology, Nutrition, and Metabolism.2019; 44(7): 765.     CrossRef
  • Gut Microbiome Modulation Based on Probiotic Application for Anti-Obesity: A Review on Efficacy and Validation
    Kaliyan Barathikannan, Ramachandran Chelliah, Momna Rubab, Eric Banan-Mwine Daliri, Fazle Elahi, Dong-Hwan Kim, Paul Agastian, Seong-Yoon Oh, Deog Hwan Oh
    Microorganisms.2019; 7(10): 456.     CrossRef
  • Current Understanding of the Gut Microflora in Subjects with Nutrition-Associated Metabolic Disorder Such as Obesity and/or Diabetes: Is There Any Relevance with Oral Microflora?
    Hiromichi Yumoto, Takashi Uebanso, Takaaki Shimohata, Akira Takahashi
    Current Oral Health Reports.2019; 6(2): 100.     CrossRef
  • Probiotic Supplementation in a Clostridium difficile-Infected Gastrointestinal Model Is Associated with Restoring Metabolic Function of Microbiota
    Mohd Baasir Gaisawat, Chad W. MacPherson, Julien Tremblay, Amanda Piano, Michèle M. Iskandar, Thomas A. Tompkins, Stan Kubow
    Microorganisms.2019; 8(1): 60.     CrossRef
  • Benefaction of probiotics for human health: A review
    Rout George Kerry, Jayanta Kumar Patra, Sushanto Gouda, Yooheon Park, Han-Seung Shin, Gitishree Das
    Journal of Food and Drug Analysis.2018; 26(3): 927.     CrossRef
  • Regulation of immunometabolism in adipose tissue
    Manju Kumari, Joerg Heeren, Ludger Scheja
    Seminars in Immunopathology.2018; 40(2): 189.     CrossRef
  • Dose-Dependent Effects of Multispecies Probiotic Supplementation on the Lipopolysaccharide (LPS) Level and Cardiometabolic Profile in Obese Postmenopausal Women: A 12-Week Randomized Clinical Trial
    Monika Szulińska, Igor Łoniewski, Saskia van Hemert, Magdalena Sobieska, Paweł Bogdański
    Nutrients.2018; 10(6): 773.     CrossRef
  • Synthetic Biology Approaches to Engineer Probiotics and Members of the Human Microbiota for Biomedical Applications
    Josef R. Bober, Chase L. Beisel, Nikhil U. Nair
    Annual Review of Biomedical Engineering.2018; 20(1): 277.     CrossRef
  • The journey of gut microbiome – An introduction and its influence on metabolic disorders
    Ankita Chattopadhyay, S. Mythili
    Frontiers in Biology.2018; 13(5): 327.     CrossRef
  • Immunomodulatory Effects of Probiotics on Cytokine Profiles
    Md. Abul Kalam Azad, Manobendro Sarker, Dan Wan
    BioMed Research International.2018; 2018: 1.     CrossRef
  • Polysaccharide extracted from Enteromorpha ameliorates Cisplastin-induced small intestine injury in mice
    Xinxiu Ren, Lei Liu, Pingkun Liu, Yaser Gamallat, Yi Xin, Dong Shang
    Journal of Functional Foods.2018; 49: 154.     CrossRef
  • Implications of the Intestinal Microbiota in Diagnosing the Progression of Diabetes and the Presence of Cardiovascular Complications
    Alina Mihaela Leustean, Manuela Ciocoiu, Anca Sava, Claudia Florida Costea, Mariana Floria, Claudia Cristina Tarniceriu, Daniela Maria Tanase
    Journal of Diabetes Research.2018; 2018: 1.     CrossRef
  • Adaptation and Probiotic Potential of Lactobacilli, Isolated from the Oral Cavity and Intestines of Healthy People
    Yulia Chervinets, Vyacheslav Chervinets, Boris Shenderov, Ekaterina Belyaeva, Andrey Troshin, Sergey Lebedev, Valery Danilenko
    Probiotics and Antimicrobial Proteins.2018; 10(1): 22.     CrossRef
  • Microbiota intestinal, sobrepeso y obesidad
    Noé González-Gallegos, Yesica Sughey González-Torres, Luis Felipe Padilla-Durán
    RESPYN Revista Salud Pública y Nutrición.2017; 16(3): 23.     CrossRef
  • Effects of weight loss using supplementation with Lactobacillus strains on body fat and medium-chain acylcarnitines in overweight individuals
    Minkyung Kim, Minjoo Kim, Miso Kang, Hye Jin Yoo, Min Sun Kim, Young-Tae Ahn, Jae-Hun Sim, Sun Ha Jee, Jong Ho Lee
    Food & Function.2017; 8(1): 250.     CrossRef
  • Impact of supplementation with a food-derived microbial community on obesity-associated inflammation and gut microbiota composition
    Marianna Roselli, Chiara Devirgiliis, Paola Zinno, Barbara Guantario, Alberto Finamore, Rita Rami, Giuditta Perozzi
    Genes & Nutrition.2017;[Epub]     CrossRef
  • Heat-killed Bifidobacterium animalis subsp. Lactis CECT 8145 increases lean mass and ameliorates metabolic syndrome in cafeteria-fed obese rats
    Antoni Caimari, Josep Maria del Bas, Noemí Boqué, Anna Crescenti, Francesc Puiggròs, Empar Chenoll, Patricia Martorell, Daniel Ramón, Salvador Genovés, Lluís Arola
    Journal of Functional Foods.2017; 38: 251.     CrossRef
  • Significance of Microbiota in Obesity and Metabolic Diseases and the Modulatory Potential by Medicinal Plant and Food Ingredients
    Hoda M. Eid, Michelle L. Wright, N. V. Anil Kumar, Abdel Qawasmeh, Sherif T. S. Hassan, Andrei Mocan, Seyed M. Nabavi, Luca Rastrelli, Atanas G. Atanasov, Pierre S. Haddad
    Frontiers in Pharmacology.2017;[Epub]     CrossRef
  • Effects of a multi-strain probiotic supplement for 12 weeks in circulating endotoxin levels and cardiometabolic profiles of medication naïve T2DM patients: a randomized clinical trial
    Shaun Sabico, Ayah Al-Mashharawi, Nasser M. Al-Daghri, Sobhy Yakout, Abdullah M. Alnaami, Majed S. Alokail, Philip G. McTernan
    Journal of Translational Medicine.2017;[Epub]     CrossRef
  • Modulation of Tryptophan/Serotonin Pathway by Probiotic Supplementation in Human Immunodeficiency Virus–Positive Patients: Preliminary Results of a New Study Approach
    Giuseppe Corano Scheri, Saeid Najafi Fard, Ivan Schietroma, Andrea Mastrangelo, Claudia Pinacchio, Noemi Giustini, Sara Serafino, Gabriella De Girolamo, Eugenio Nelson Cavallari, Maura Statzu, Luca Laghi, Annamaria Vullo, Giancarlo Ceccarelli, Vincenzo Vu
    International Journal of Tryptophan Research.2017; 10: 117864691771066.     CrossRef
  • Dairy probiotics: Beyond the role of promoting gut and immune health
    Georgia Zoumpopoulou, Bruno Pot, Effie Tsakalidou, Konstantinos Papadimitriou
    International Dairy Journal.2017; 67: 46.     CrossRef
  • Microbiome and NAFLD: potential influence of aerobic fitness and lifestyle modification
    Matthew R. Panasevich, Willem T. Peppler, Daniel B. Oerther, David C. Wright, R. Scott Rector
    Physiological Genomics.2017; 49(8): 385.     CrossRef
  • Pterostilbene‐induced changes in gut microbiota composition in relation to obesity
    Usune Etxeberria, Elizabeth Hijona, Leixuri Aguirre, Fermin I. Milagro, Luis Bujanda, Agnes M. Rimando, José Alfredo Martínez, María P. Portillo
    Molecular Nutrition & Food Research.2017;[Epub]     CrossRef
  • Microbiota manipulation for weight change
    Tal Dror, Yaakov Dickstein, Grégory Dubourg, Mical Paul
    Microbial Pathogenesis.2017; 106: 146.     CrossRef
  • Targeting the gastrointestinal tract to treat type 2 diabetes
    Paige V Bauer, Frank A Duca
    Journal of Endocrinology.2016; 230(3): R95.     CrossRef
  • Novel perspectives on therapeutic modulation of the gut microbiota
    Justin L. McCarville, Alberto Caminero, Elena F. Verdu
    Therapeutic Advances in Gastroenterology.2016; 9(4): 580.     CrossRef
  • Alterations in fecal microbiota composition by probiotic supplementation in healthy adults: a systematic review of randomized controlled trials
    Nadja B. Kristensen, Thomas Bryrup, Kristine H. Allin, Trine Nielsen, Tue H. Hansen, Oluf Pedersen
    Genome Medicine.2016;[Epub]     CrossRef
  • Gut Microbiota and Obesity
    Nicole D. White
    American Journal of Lifestyle Medicine.2016; 10(2): 104.     CrossRef
  • The antioxidative effects of three lactobacilli on high-fat diet induced obese mice
    Wei Song, Chen Song, Yujuan Shan, Weihong Lu, Jiliang Zhang, Panpan Hu, Xianfan Wu, L. Li, Shouli Guo
    RSC Advances.2016; 6(70): 65808.     CrossRef
  • Intestinal removal of free fatty acids from hosts by Lactobacilli for the treatment of obesity
    Hea‐Jong Chung, Jae G. Yu, In‐Ah Lee, Ming‐Jie Liu, Yan‐Fei Shen, Satya P. Sharma, Mohammad A. H. M. Jamal, Jun‐Hyun Yoo, Hyeon‐Jin Kim, Seong‐Tshool Hong
    FEBS Open Bio.2016; 6(1): 64.     CrossRef
  • Gnotobiotic mouse model’s contribution to understanding host–pathogen interactions
    Klara Kubelkova, Milota Benuchova, Hana Kozakova, Marek Sinkora, Zuzana Krocova, Jaroslav Pejchal, Ales Macela
    Cellular and Molecular Life Sciences.2016; 73(20): 3961.     CrossRef
  • Gut Endotoxin Leading to a Decline IN Gonadal function (GELDING) - a novel theory for the development of late onset hypogonadism in obese men
    Kelton Tremellen
    Basic and Clinical Andrology.2016;[Epub]     CrossRef
  • A typical day working in a laboratory in 2050: are microbiologists becoming chemists and serene workers?
    Daniele Sohier, Armelle Riou, Florence Postollec
    Current Opinion in Food Science.2016; 10: 1.     CrossRef
  • Nutritional advice for community patients: insights from a panel discussion
    Linda V Thomas, Gill Jenkins, Julie Belton, Suzie Clements, Ciara Jacob, Naomi Johnson, Deirdre Joy, Jennifer Low, Eileen Munson, Jessica Sheppard
    British Journal of Community Nursing.2016; 21(3): 130.     CrossRef
Editorial
Effects of Sitagliptin on Insulin and Glucagon Levels in Type 2 Diabetes Mellitus
Ji Hyun Kim
Diabetes Metab J. 2015;39(4):304-306.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.304
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PDFPubReader   

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    Omar Hegazi, Samer Alalalmeh, Moyad Shahwan, Ammar Jairoun, Mansour Alourfi, Ghfran Bokhari, Abdullah Alkhattabi, Saeed Alsharif, Mohannad Aljehani, Abdulmalik Alsabban, Mohammad Almtrafi, Ysear Zakri, Abdullah AlMahmoud, Khalid Alghamdi, Ahmed Ashour, Na
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 545.     CrossRef
  • Combined treatment with a gastric inhibitory polypeptide receptor antagonist and a peptidyl peptidase-4 inhibitor improves metabolic abnormalities in diabetic mice
    Fei Yang, Shan Dang, Hongjun LV, Bingyin Shi
    Journal of International Medical Research.2021; 49(1): 030006052098566.     CrossRef
  • Sitagliptin, a dipeptidyl peptidase-4 inhibitor, in patients with short bowel syndrome and colon in continuity: an open-label pilot study
    Rahim Mohammad Naimi, Mark Krogh Hvistendahl, Lise Margrete Thomassen, Hanna Johnsen, Charlotte Bayer Christiansen, Jens Juul Holst, Bolette Hartmann, Palle Bekker Jeppesen
    BMJ Open Gastroenterology.2021; 8(1): e000604.     CrossRef
  • Hyperglucagonemia in an animal model of insulin- deficient diabetes: what therapy can improve it?
    Fabrizio Barbetti, Carlo Colombo, Leena Haataja, Corentin Cras-Méneur, Sergio Bernardini, Peter Arvan
    Clinical Diabetes and Endocrinology.2016;[Epub]     CrossRef
Original Articles
Current Status of Management in Type 2 Diabetes Mellitus at General Hospitals in South Korea
Jin-Hee Jung, Jung-Hwa Lee, Jin-Won Noh, Jeong-Eun Park, Hee-Sook Kim, Joo-Wha Yoo, Bok-Rye Song, Jeong-rim Lee, Myeong-Hee Hong, Hyang-Mi Jang, Young Na, Hyun-Joo Lee, Jeong-Mi Lee, Yang-Gyo Kang, Sun-Young Kim, Kang-Hee Sim
Diabetes Metab J. 2015;39(4):307-315.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.307
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AbstractAbstract PDFPubReader   
Background

In Korea, the prevalence, complications, and mortality rate of diabetes are rapidly increasing. However, investigations on the actual condition of diabetes management are very limited due to lack of nation-wide research or multicenter study. Hence, we have minutely inquired the current status of diabetes management and achievement of glucose target goal in general hospital offering education program. That way, we are able to furnish data for policy making of diabetes education and draw up guideline which may allow us to reduce the morbidity and mortality of diabetes.

Methods

The subjects consisted of 2,610 patients with type 2 diabetes who visited the 13 general hospital in Seoul or Gyeonggi region from March 19 to May 29, 2013. General characteristics, associated diseases, complications, and management status were investigated.

Results

The mean age was 61.0±11.6 years, body mass index was 25.0±3.3 kg/m2, and family history of diabetes was 50.5%. The mean duration of diabetes was 10.7±7.9 years and 53% received education about diabetes. The prevalence of hypertension and dyslipidemia were 59.2% and 65.5%, respectively, and 18.3% of the subjects were accompanied by liver disease. Diabetic retinopathy appeared in 31.6%, nephropathy in 28.1%, and neuropathy in 19.9% of the subjects. The mean glycosylated hemoglobin (HbA1c) level was 7.3%±1.3% and the achieving rate based on Korean Diabetes Association guideline (HbA1c <6.5%) was 24.8%, blood pressure (130/80 mm Hg or less) was 49.4%, and low density lipoprotein cholesterol (<100 mg/dL) was 63.6%. The reaching rate to the target level in four parameters (blood glucose, blood pressure, lipids, and body weight) was 7.8%.

Conclusion

The blood glucose control rate was lower than other parameters, and the implementation rate of diabetes education was only 53%. Thus more appropriate glucose control and systematic diabetes education are imperative.

Citations

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  • Management Status of Patients with Type 2 Diabetes Mellitus at General Hospitals in Korea: A 5-Year Follow-Up Study
    Jin Hee Jung, Jung Hwa Lee, Hyang Mi Jang, Young Na, Hee Sun Choi, Yeon Hee Lee, Yang Gyo Kang, Na Rae Kim, Jeong Rim Lee, Bok Rye Song, Kang Hee Sim
    The Journal of Korean Diabetes.2022; 23(1): 64.     CrossRef
  • Mobile Healthcare System Provided by Primary Care Physicians Improves Quality of Diabetes Care
    Tae Jung Oh, Jie-Eun Lee, Seok Kim, Sooyoung Yoo, Hak Chul Jang
    CardioMetabolic Syndrome Journal.2021; 1(1): 88.     CrossRef
  • Hypoglycemic efficacy and safety of Momordica charantia (bitter melon) in patients with type 2 diabetes mellitus
    Soo Kyoung Kim, Jaehoon Jung, Jung Hwa Jung, NalAe Yoon, Sang Soo Kang, Gu Seob Roh, Jong Ryeal Hahm
    Complementary Therapies in Medicine.2020; 52: 102524.     CrossRef
  • Sociodemographic Factors Associated with Participation in Diabetes Education among Community-Dwelling Adults with Diabetes
    Young-Hoon Lee
    Yonsei Medical Journal.2020; 61(2): 169.     CrossRef
  • Antidiabetic Effects of Vigna nakashimae Extract in Humans: A Preliminary Study
    Soo Kyoung Kim, Jaehoon Jung, Jung Hwa Jung, Byong Won Lee, Sang Soo Kang, Gu Seob Roh, Jong Ryeal Hahm
    The Journal of Alternative and Complementary Medicine.2018; 24(3): 249.     CrossRef
  • Association of Self-Reported Dietary and Drug Compliance with Optimal Metabolic Control in Patients with Type 2 Diabetes: Clinic-Based Single-Center Study in a Developing Country
    Thilak Priyantha Weerarathna, Miyuru Kavinda Weerarathna, Vidarsha Senadheera, Herath Mudiyanselage Meththananda Herath, Gayani Liyanage
    Journal of Nutrition and Metabolism.2018; 2018: 1.     CrossRef
  • A comparison of effects of DPP-4 inhibitor and SGLT2 inhibitor on lipid profile in patients with type 2 diabetes
    Seon-Ah Cha, Yong-Moon Park, Jae-Seung Yun, Tae-Seok Lim, Ki-Ho Song, Ki-Dong Yoo, Yu-Bae Ahn, Seung-Hyun Ko
    Lipids in Health and Disease.2017;[Epub]     CrossRef
  • Effect of prescribing metformin according to eGFR instead of serum creatinine level: A study based on Korean National Health and Nutrition Examination Survey (KNHANES) 2009-2014
    Sun Joon Moon, Chang Ho Ahn, Young Min Cho, Tatsuo Shimosawa
    PLOS ONE.2017; 12(4): e0175334.     CrossRef
  • Physician-Directed Diabetes Education without a Medication Change and Associated Patient Outcomes
    Hun-Sung Kim, Hyunah Kim, Hae-Kyung Yang, Eun Young Lee, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Seo Yeon Baik, Seung-Hwan Lee, Jae Hyoung Cho, In Young Choi, Hyeon Woo Yim, Bong-Yun Cha
    Diabetes & Metabolism Journal.2017; 41(3): 187.     CrossRef
  • Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data
    Sejeong Park, Sang Youl Rhee, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2017; 41(5): 393.     CrossRef
  • Influencing Factors of Knowledge, Attitude, and Practice regarding Medical Nutrition Therapy in Patients with Diabetes: A National Cross-Sectional Study in Urban China
    Zijian Li, Haimin Jin, Wei Chen, Zilin Sun, Lulu Jing, Xiaohui Zhao, Sainan Zhu, Xiaohui Guo, China NEEDs Study Group
    Journal of Diabetes Research.2017; 2017: 1.     CrossRef
  • Factors Associated with Participation in Diabetes Education: The Korea National Health and Nutrition Examination Survey 2007 to 2009
    Jung Min Kim, Jae Won Hong, Jung Hyun Noh, Dong-Jun Kim
    Diabetes & Metabolism Journal.2016; 40(6): 447.     CrossRef
  • Health Performance and Challenges in Korea: a Review of the Global Burden of Disease Study 2013
    Yo Han Lee, Seok-Jun Yoon, Arim Kim, Hyeyoung Seo, Seulki Ko
    Journal of Korean Medical Science.2016; 31(Suppl 2): S114.     CrossRef
  • Diabetic Cardiovascular Autonomic Neuropathy Predicts Recurrent Cardiovascular Diseases in Patients with Type 2 Diabetes
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Kyoungil Min, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko, James M Wright
    PLOS ONE.2016; 11(10): e0164807.     CrossRef
Maternal and Neonatal Outcomes in Korean Women with Type 1 and Type 2 Diabetes
Hee-Sook Kim, Hye-Jung Jang, Jeong-Eun Park, Moon-Young Kim, Sun-Young Ko, Sung-Hoon Kim
Diabetes Metab J. 2015;39(4):316-320.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.316
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AbstractAbstract PDFPubReader   
Background

The purpose of this study was to evaluate maternal and neonatal outcomes in Korean women with type 1 diabetes and type 2 diabetes.

Methods

We performed a retrospective survey of 163 pregnancies in women with type 1 diabetes (n=13) and type 2 diabetes (n=150) treated from 2003 to 2010 at Cheil General Hospital & Women's Healthcare Center, Korea. We compared maternal characteristics as well as maternal and neonatal outcomes between groups.

Results

Differences in glycosylated hemoglobin between type 1 and type 2 diabetes were not significant. Birth weight (3,501±689.6 g vs. 3,366±531.4 g) and rate of major congenital malformations (7.7% vs. 5.6%) were not significantly different. However, women with type 1 diabetes had higher rates of preeclampsia (38.5% vs. 8.2%, P=0.006), large for gestational age (LGA; 46.2% vs. 20.4%, P=0.004), macrosomia (38.5% vs. 13.4%, P=0.032), and admission for neonatal care (41.7% vs. 14.8%, P=0.03) than women with type 2 diabetes.

Conclusion

Maternal and neonatal outcomes for women with type 1 diabetes were poorer than for women with type 2 diabetes, especially preeclampsia, LGA, macrosomia and admission to the neonatal intensive care unit.

Citations

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  • The Impact of Type 2 Diabetes on Women’s Health and Well-being During Their Reproductive Years: A Mixed-methods Systematic Review
    Aycan Celik, Rita Forde, Simona Racaru, Angus Forbes, Jackie Sturt
    Current Diabetes Reviews.2022;[Epub]     CrossRef
  • Application of the electronic nose in predicting preeclampsia in high-risk pregnancies. Pilot study
    Karen Beatriz Méndez Rodríguez, Luis Manuel Ramírez Gómez, Leticia Carrizales Yáñez, Rogelio Flores Ramírez, Omar Ornelas-Rebolledo, Jaime Antonio Borjas-García, Francisco Pérez-Vázquez, Maribel Rodríguez Aguilar
    Archives of Medical Research.2021;[Epub]     CrossRef
  • Obstetric and neonatal complications among women with autoimmune disease
    Andrew Williams, Katherine Grantz, Indulaxmi Seeni, Candace Robledo, Shanshan Li, Marion Ouidir, Carrie Nobles, Pauline Mendola
    Journal of Autoimmunity.2019; 103: 102287.     CrossRef
  • Effects of maternal age, parity and pre-pregnancy body mass index on the glucose challenge test and gestational diabetes mellitus
    Adel T. Abu-Heija, Majeda R. Al-Bash, Moza A. Al-Kalbani
    Journal of Taibah University Medical Sciences.2017; 12(4): 338.     CrossRef
  • Deficient Vitamin E Uptake During Development Impairs Neural Tube Closure in Mice Lacking Lipoprotein Receptor SR-BI
    Nicolás Santander, Carlos Lizama, María José Parga, Alonso Quiroz, Druso Pérez, Guadalupe Echeverría, Lorena Ulloa, Verónica Palma, Attilio Rigotti, Dolores Busso
    Scientific Reports.2017;[Epub]     CrossRef
Agreement between Framingham Risk Score and United Kingdom Prospective Diabetes Study Risk Engine in Identifying High Coronary Heart Disease Risk in North Indian Population
Dipika Bansal, Ramya S. R. Nayakallu, Kapil Gudala, Rajavikram Vyamasuni, Anil Bhansali
Diabetes Metab J. 2015;39(4):321-327.   Published online July 8, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.321
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AbstractAbstract PDFPubReader   
Background

The aim of the study is to evaluate the concurrence between Framingham Risk score (FRS) and United Kingdom Prospective Diabetes Study (UKPDS) risk engine in identifying coronary heart disease (CHD) risk in newly detected diabetes mellitus patients and to explore the characteristics associated with the discrepancy between them.

Methods

A cross-sectional study involving 489 subjects newly diagnosed with type 2 diabetes mellitus was conducted. Agreement between FRS and UKPDS in classifying patients as high risk was calculated using kappa statistic. Subjects with discrepant scores between two algorithms were identified and associated variables were determined.

Results

The FRS identified 20.9% subjects (range, 17.5 to 24.7) as high-risk while UKPDS identified 21.75% (range, 18.3 to 25.5) as high-risk. Discrepancy was observed in 17.9% (range, 14.7 to 21.7) subjects. About 9.4% had high risk by UKPDS but not FRS, and 8.6% had high risk by FRS but not UKPDS. The best agreement was observed at high-risk threshold of 20% for both (κ=0.463). Analysis showed that subjects having high risk on FRS but not UKPDS were elderly females having raised systolic and diastolic blood pressure. Patients with high risk on UKPDS but not FRS were males and have high glycosylated hemoglobin.

Conclusion

The FRS and UKPDS (threshold 20%) identified different populations as being at high risk, though the agreement between them was fairly good. The concurrence of a number of factors (e.g., male sex, low high density lipoprotein cholesterol, and smoking) in both algorithms should be regarded as increasing the CHD risk. However, longitudinal follow-up is required to form firm conclusions.

Citations

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  • Endocan is Related to Increased Cardiovascular Risk in Type 2 Diabetes Mellitus Patients
    Aleksandra Klisic, Jelena Kotur-Stevuljevic, Ana Ninic
    Metabolic Syndrome and Related Disorders.2023; 21(7): 362.     CrossRef
  • Estimated risk of cardiovascular events and long-term complications: The projected future of diabetes patients in Delhi from the DEDICOM-II survey
    Swapnil Rawat, Ramasheesh Yadav, Siddhi Goyal, Jitender Nagpal
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(11): 102880.     CrossRef
  • Cardiovascular Biomarkers and Calculated Cardiovascular Risk in Orally Treated Type 2 Diabetes Patients: Is There a Link?
    Aleksandra Markova, Mihail Boyanov, Deniz Bakalov, Atanas Kundurdjiev, Adelina Tsakova
    Hormone and Metabolic Research.2021; 53(01): 41.     CrossRef
  • Risk of coronary heart disease and stroke based on United Kingdom prospective diabetes study in type 2 DM patients in Medan
    R Amelia, J Harahap, H Wijaya, I I Fujiati
    IOP Conference Series: Earth and Environmental Science.2021; 912(1): 012081.     CrossRef
  • Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors
    Ankush Jamthikar, Deep Gupta, Narendra N. Khanna, Luca Saba, John R. Laird, Jasjit S. Suri
    Indian Heart Journal.2020; 72(4): 258.     CrossRef
  • Current Data Regarding the Relationship between Type 2 Diabetes Mellitus and Cardiovascular Risk Factors
    Cosmin Mihai Vesa, Loredana Popa, Amorin Remus Popa, Marius Rus, Andreea Atena Zaha, Simona Bungau, Delia Mirela Tit, Raluca Anca Corb Aron, Dana Carmen Zaha
    Diagnostics.2020; 10(5): 314.     CrossRef
  • Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound
    Ankush D. Jamthikar, Deep Gupta, Luca Saba, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Naveed Sattar, Amer M. Johri, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Vijay Viswanathan, Aditya Sharma, Georg
    Computers in Biology and Medicine.2020; 126: 104043.     CrossRef
  • Additive and Synergistic Cardiovascular Disease Risk Factors and HIV Disease Markers' Effects on White Matter Microstructure in Virally Suppressed HIV
    Maëliss Calon, Kritika Menon, Andrew Carr, Roland G. Henry, Caroline D. Rae, Bruce J. Brew, Lucette A. Cysique
    JAIDS Journal of Acquired Immune Deficiency Syndromes.2020; 84(5): 543.     CrossRef
  • Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study
    Narendra N. Khanna, Ankush D. Jamthikar, Deep Gupta, Andrew Nicolaides, Tadashi Araki, Luca Saba, Elisa Cuadrado-Godia, Aditya Sharma, Tomaz Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, Athanasios Protogerou, Petros P.
    Computers in Biology and Medicine.2019; 105: 125.     CrossRef
  • Cardiovascular risk estimated by UKPDS risk engine algorithm in diabetes
    Nebojsa Kavaric, Aleksandra Klisic, Ana Ninic
    Open Medicine.2018; 13(1): 610.     CrossRef
  • Differential Association of Metabolic Risk Factors with Open Angle Glaucoma according to Obesity in a Korean Population
    Hyun-Ah Kim, Kyungdo Han, Yun-Ah Lee, Jin A Choi, Yong-Moon Park
    Scientific Reports.2016;[Epub]     CrossRef
  • The Association between Diabetic Retinopathy and Framingham Risk Score in Koreans with Type II Diabetes
    Da Yeong Kim, Su Jeong Song, Jeong Hun Bae, Cheol-Young Park, Eun-Jung Rhee
    Journal of the Korean Ophthalmological Society.2016; 57(5): 779.     CrossRef
Maximal Fat Oxidation Rate during Exercise in Korean Women with Type 2 Diabetes Mellitus
Min Hwa Suk, Yeo-Jin Moon, Sung Woo Park, Cheol-Young Park, Yun A Shin
Diabetes Metab J. 2015;39(4):328-334.   Published online July 8, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.328
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AbstractAbstract PDFPubReader   
Background

The purpose of this study was to determine the appropriate exercise intensity associated with maximum fat oxidation, improvement of body composition, and metabolic status in Korean women with type 2 diabetes mellitus (T2DM).

Methods

The study included a T2DM group (12 women) and a control group (12 women). The groups were matched in age and body mass index. The subjects performed a graded exercise test on a cycle ergometer to measure their maximal fat oxidation (Fatmax). We also measured their body composition, metabolic profiles, and mitochondrial DNA (mtDNA).

Results

The exercise intensity for Fatmax was significantly lower in the T2DM group (34.19% maximal oxygen uptake [VO2 max]) than the control group (51.80% VO2 max). Additionally, the rate of fat oxidation during exercise (P<0.05) and mtDNA (P<0.05) were significantly lower in the T2DM group than the control group. The VO2 max level (P<0.001) and the insulin level (P<0.05) were positively correlated with the rate of fat oxidation.

Conclusion

The results of this study suggest lower exercise intensity that achieves Fatmax is recommended for improving fat oxidation and enhancing fitness levels in Korean women with T2DM. Our data could be useful when considering an exercise regimen to improve health and fitness.

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  • Toward Exercise Guidelines for Optimizing Fat Oxidation During Exercise in Obesity: A Systematic Review and Meta-Regression
    Isaac A. Chávez-Guevara, Francisco J. Amaro-Gahete, Arnulfo Ramos-Jiménez, Jean Frederic Brun
    Sports Medicine.2023; 53(12): 2399.     CrossRef
  • Cardiorespiratory fitness in individuals with type 2 diabetes mellitus: a systematic review and meta-analysis
    Aline Chagastelles Pinto de Macedo, Camila Wohlgemuth Schaan, Patricia Martins Bock, Mariana Brutto de Pinto, Cintia Ehlers Botton, Daniel Umpierre, Beatriz D. Schaan
    Archives of Endocrinology and Metabolism.2023;[Epub]     CrossRef
  • Inclusion of sprints during moderate-intensity continuous exercise enhances post-exercise fat oxidation in young males
    Bruno Nicanor Mello-Silva, Gabriel Völz Protzen, Fabrício Boscolo Del Vecchio
    Applied Physiology, Nutrition, and Metabolism.2022; 47(2): 165.     CrossRef
  • Resting and exercise metabolic characteristics in obese children with insulin resistance
    Cao Youxiang, Zhu Lin, Chen Zekai, Xie Weijun
    Frontiers in Physiology.2022;[Epub]     CrossRef
  • Impact of Acute Eccentric versus Concentric Running on Exercise-Induced Fat Oxidation and Postexercise Physical Activity in Untrained Men
    Shaea Alkahtani, Osama Aljuhani, Nasser Alkhalidi, Naif Almasuod, Omar Hezam, Ibrahim Aljaloud, Haitham Abdel Hamid Dawoud, Ahmed Abdusalam
    BioMed Research International.2020; 2020: 1.     CrossRef
  • Diurnal influences of fasted and non-fasted brisk walking on gastric emptying rate, metabolic responses, and appetite in healthy males
    Victoria J. McIver, Lewis R. Mattin, Gethin H. Evans, Adora M.W. Yau
    Appetite.2019; 143: 104411.     CrossRef
  • Myokine/Adipokine Response to “Aerobic” Exercise: Is It Just a Matter of Exercise Load?
    Zihong He, Ye Tian, Pedro L. Valenzuela, Chuanye Huang, Jiexiu Zhao, Ping Hong, Zilin He, Shuhui Yin, Alejandro Lucia
    Frontiers in Physiology.2019;[Epub]     CrossRef
  • Exercise as ‘precision medicine’ for insulin resistance and its progression to type 2 diabetes: a research review
    Fred J. DiMenna, Avigdor D. Arad
    BMC Sports Science, Medicine and Rehabilitation.2018;[Epub]     CrossRef
  • High-intensity aerobic interval training improves aerobic fitness and HbA1c among persons diagnosed with type 2 diabetes
    Eva Maria Støa, Sondre Meling, Lill-Katrin Nyhus, Glenn Strømstad, Karl Magnus Mangerud, Jan Helgerud, Solfrid Bratland-Sanda, Øyvind Støren
    European Journal of Applied Physiology.2017; 117(3): 455.     CrossRef
Effects of 6-Month Sitagliptin Treatment on Insulin and Glucagon Responses in Korean Patients with Type 2 Diabetes Mellitus
Hae Kyung Yang, Borami Kang, Seung-Hwan Lee, Hun-Sung Kim, Kun-Ho Yoon, Bong-Yun Cha, Jae-Hyoung Cho
Diabetes Metab J. 2015;39(4):335-341.   Published online July 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.335
  • 3,685 View
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AbstractAbstract PDFPubReader   
Background

This study aimed to evaluate the effect of sitagliptin, an oral dipeptidyl peptidase-4 inhibitor, on insulin secretion and glucagon suppression in Korean subjects with type 2 diabetes mellitus.

Methods

Twenty-four subjects underwent a 75-g oral glucose tolerance test (OGTT) before and after 6 months of sitagliptin treatment. Sitagliptin, insulin, and sulfonylurea were withdrawn for 3 days before OGTT to eliminate any acute effects on β-cell insulin or α-cell glucagon secretion. Venous samples were drawn five times during each OGTT to measure plasma glucose, insulin, and glucagon. Indices on insulin secretion and resistance were calculated.

Results

Early phase insulin secretion, measured by the insulinogenic index significantly increased after 6 months of sitagliptin treatment, especially in the higher baseline body mass index group and higher baseline glycosylated hemoglobin (HbA1c) group. There were no significant differences in the insulin resistance indices before and after sitagliptin treatment. Although no significant differences were observed in the absolute levels of glucagon and the glucagon-to-insulin ratio, there was a significant reduction in the percentile change of glucagon-to-insulin ratio at 30- and 120-minute during the OGTT.

Conclusion

Although the HbA1c level did not decrease significantly after 6 months of sitagliptin treatment, an increase in insulin secretion and reduction in early phase postprandial plasma glucagon-to-insulin ratio excursion was confirmed in Korean subjects with type 2 diabetes.

Citations

Citations to this article as recorded by  
  • A genetic variant in GLP1R is associated with response to DPP-4 inhibitors in patients with type 2 diabetes
    Eugene Han, Hye Sun Park, Obin Kwon, Eun Yeong Choe, Hye Jin Wang, Yong-ho Lee, Sang-Hak Lee, Chul Hoon Kim, Lee-Kyung Kim, Soo Heon Kwak, Kyong Soo Park, Chul Sik Kim, Eun Seok Kang
    Medicine.2016; 95(44): e5155.     CrossRef
  • Effects of sitagliptin on circulating zinc-α2-glycoprotein levels in newly diagnosed type 2 diabetes patients: a randomized trial
    Mingyuan Tian, Zerong Liang, Rui Liu, Ke Li, Xinrong Tan, Yong Luo, Mengliu Yang, Harvest F Gu, Hua Liu, Ling Li, Gangyi Yang
    European Journal of Endocrinology.2016; 174(2): 147.     CrossRef
  • Effects of Sitagliptin on Insulin and Glucagon Levels in Type 2 Diabetes Mellitus
    Ji Hyun Kim
    Diabetes & Metabolism Journal.2015; 39(4): 304.     CrossRef
Predictive Factors for Efficacy of Dipeptidyl Peptidase-4 Inhibitors in Patients with Type 2 Diabetes Mellitus
Shusuke Yagi, Ken-ichi Aihara, Masashi Akaike, Daiju Fukuda, Hotimah Masdan Salim, Masayoshi Ishida, Tomomi Matsuura, Takayuki Ise, Koji Yamaguchi, Takashi Iwase, Hirotsugu Yamada, Takeshi Soeki, Tetsuzo Wakatsuki, Michio Shimabukuro, Toshio Matsumoto, Masataka Sata
Diabetes Metab J. 2015;39(4):342-347.   Published online July 21, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.342
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Background

Predictive factors for the efficacy of dipeptidyl peptidase-4 (DPP-4) inhibitors for lowering glycosylated hemoglobin (HbA1c) remain unclear in patients with type 2 diabetes mellitus. The aim of this study is therefore to clarify predictive factors of the efficacy of DPP-4 inhibitors for lowering HbA1c after 12 months of treatment.

Methods

A total of 191 consecutive type 2 diabetic patients (male sex 55%, mean age, 68.3±35.8 years), who had been treated with DPP-4 inhibitors for 12 months, were enrolled in this study and evaluated retrospectively.

Results

After 12 months of DPP-4 inhibitor treatment, random blood glucose level, and HbA1c level, decreased from 167±63 to 151±49 mg/dL (P<0.01), and from 7.5%±1.3% to 6.9%±0.9% (P<0.01) respectively, without severe side effects. Multiple regression analysis showed that predictors of DPP-4 inhibitor treatment efficacy in lowering HbA1c level after 12 months were a decrease in HbA1c level after 3 months of treatment, a high baseline HbA1c level, a low baseline body mass index, and the absence of coronary artery disease.

Conclusion

Most suitable candidates for treatment with DPP-4 inhibitors are diabetics who are not obese and do not have coronary artery disease. In addition, long-term efficacy of DPP-4 inhibitors can be predicted by decrement of HbA1c after 3 months of treatment.

Citations

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    Shiau Chin Chong, Norlela Sukor, Sarah Anne Robert, Kim Fong Ng, Nor Azmi Kamaruddin
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Dipeptidyl peptidase‐4 inhibitor, anagliptin, alters hepatic insulin clearance in relation to the glycemic status in Japanese individuals with type 2 diabetes
    Takahiro Abe, Yasuhiro Matsubayashi, Sayaka Muragishi, Akihiro Yoshida, Hideki Suganami, Kenichi Furusawa, Kazuya Fujihara, Shiro Tanaka, Kohei Kaku, Hirohito Sone
    Journal of Diabetes Investigation.2021; 12(10): 1805.     CrossRef
  • Effects of omarigliptin on glucose variability and oxidative stress in type 2 diabetes patients: A prospective study
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    Diabetes Research and Clinical Practice.2021; 179: 108999.     CrossRef
  • Factors associated with the glucose‐lowering efficacy of sitagliptin in Japanese patients with type 2 diabetes mellitus: Pooled analysis of Japanese clinical trials
    Naoko Tajima, Jun‐ichi Eiki, Taro Okamoto, Kotoba Okuyama, Masaru Kawashima, Samuel S Engel
    Journal of Diabetes Investigation.2020; 11(3): 640.     CrossRef
  • Efficacy and safety of evogliptin versus sitagliptin as add on to metformin alone in a combined russian-korean population. Evo-combi trial
    Alina Y. Babenko, Anna A. Mosikian, Igor E. Makarenko, Victoriya V. Leusheva, Evgeny V. Shlyakhto
    Diabetes mellitus.2018; 21(4): 241.     CrossRef
  • Predictors for the Treatment Effect of Sodium Glucose Co-transporter 2 Inhibitors in Patients with Type 2 Diabetes Mellitus
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    Advances in Therapy.2018; 35(1): 124.     CrossRef
  • Ethnic Differences in Efficacy and Safety of Alogliptin: A Systematic Review and Meta-Analysis
    Yuli Cai, Tianshu Zeng, Zhongyuan Wen, Lulu Chen
    Diabetes Therapy.2018; 9(1): 177.     CrossRef
  • Effectiveness prediction of Evogliptin treatment in type 2 diabetes mellitus in russian-korean population
    Anna A. Mosikian, Alina Y. Babenko, Yulia A. Sevastyanova, Roman V. Drai, Evgenij V. Shlyakhto
    Diabetes mellitus.2018; 21(5): 333.     CrossRef
  • Efficacy and Safety of Linagliptin in 2681 Asian Patients Stratified by Age, Obesity, and Renal Function: A Pooled Analysis of Randomized Clinical Trials
    Guang Ning, Tushar Bandgar, Uwe Hehnke, Jisoo Lee, Juliana C. N. Chan
    Advances in Therapy.2017; 34(9): 2150.     CrossRef
  • Potential regulatory mechanisms of lncRNA in diabetes and its complications
    Shui-Dong Feng, Ji-Hua Yang, Chao Hua Yao, Si-Si Yang, Ze-Mei Zhu, Di Wu, Hong-Yan Ling, Liang Zhang
    Biochemistry and Cell Biology.2017; 95(3): 361.     CrossRef
  • Baseline Body Mass Index and the Efficacy of Hypoglycemic Treatment in Type 2 Diabetes: A Meta-Analysis
    Xiaoling Cai, Wenjia Yang, Xueying Gao, Lingli Zhou, Xueyao Han, Linong Ji, Francesco Giorgino
    PLOS ONE.2016; 11(12): e0166625.     CrossRef
  • Efficacy of hypoglycemic treatment in type 2 diabetes stratified by age or diagnosed age: a meta-analysis
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    Expert Opinion on Pharmacotherapy.2016; 17(12): 1591.     CrossRef
  • Pharmacokinetic, pharmacodynamic and clinical evaluation of saxagliptin in type 2 diabetes
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    Expert Opinion on Drug Metabolism & Toxicology.2016; 12(4): 467.     CrossRef
  • Letter: Predictive Factors for Efficacy of Dipeptidyl Peptidase-4 Inhibitors in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2015;39:342-7)
    Ye An Kim
    Diabetes & Metabolism Journal.2015; 39(5): 444.     CrossRef
  • Response: Predictive Factors for Efficacy of Dipeptidyl Peptidase-4 Inhibitors in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2015;39:342-7)
    Shusuke Yagi, Ken-ichi Aihara, Masataka Sata
    Diabetes & Metabolism Journal.2015; 39(5): 446.     CrossRef
Letter
Letter: Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database (Diabetes Metab J 2015;39:247-52)
Dae Ho Lee
Diabetes Metab J. 2015;39(4):348-349.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.348
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Citations

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  • Heart failure and diabetes: Clinical significance and epidemiology of this two‐way association
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  • Heart failure in the patient with diabetes: Epidemiology, aetiology, prognosis, therapy and the effect of glucose‐lowering medications
    David S. H. Bell, Edison Goncalves
    Diabetes, Obesity and Metabolism.2019; 21(6): 1277.     CrossRef
Response
Response: Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database (Diabetes Metab J 2015;39:247-52)
Sunghwan Suh, Gi Hyeon Seo, Chang Hee Jung, Mee-Kyoung Kim, Sang-Man Jin, You-Cheol Hwang, Byung-Wan Lee, Jae Hyeon Kim
Diabetes Metab J. 2015;39(4):350-351.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.350
  • 3,235 View
  • 29 Download
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Diabetes Metab J : Diabetes & Metabolism Journal