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Metabolic Dysfunction-Associated Steatotic Liver Disease in Type 2 Diabetes Mellitus: A Review and Position Statement of the Fatty Liver Research Group of the Korean Diabetes Association
Jaehyun Bae, Eugene Han, Hye Won Lee, Cheol-Young Park, Choon Hee Chung, Dae Ho Lee, Eun-Hee Cho, Eun-Jung Rhee, Ji Hee Yu, Ji Hyun Park, Ji-Cheol Bae, Jung Hwan Park, Kyung Mook Choi, Kyung-Soo Kim, Mi Hae Seo, Minyoung Lee, Nan-Hee Kim, So Hun Kim, Won-Young Lee, Woo Je Lee, Yeon-Kyung Choi, Yong-ho Lee, You-Cheol Hwang, Young Sang Lyu, Byung-Wan Lee, Bong-Soo Cha, on Behalf of the Fatty Liver Research Group of the Korean Diabetes Association
Diabetes Metab J. 2024;48(6):1015-1028.   Published online November 21, 2024
DOI: https://doi.org/10.4093/dmj.2024.0541
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  • 83 Download
AbstractAbstract PDFPubReader   ePub   
Since the role of the liver in metabolic dysfunction, including type 2 diabetes mellitus, was demonstrated, studies on non-alcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated fatty liver disease (MAFLD) have shown associations between fatty liver disease and other metabolic diseases. Unlike the exclusionary diagnostic criteria of NAFLD, MAFLD diagnosis is based on the presence of metabolic dysregulation in fatty liver disease. Renaming NAFLD as MAFLD also introduced simpler diagnostic criteria. In 2023, a new nomenclature, steatotic liver disease (SLD), was proposed. Similar to MAFLD, SLD diagnosis is based on the presence of hepatic steatosis with at least one cardiometabolic dysfunction. SLD is categorized into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-related/-associated liver disease, alcoholrelated liver disease, specific etiology SLD, and cryptogenic SLD. The term MASLD has been adopted by a number of leading national and international societies due to its concise diagnostic criteria, exclusion of other concomitant liver diseases, and lack of stigmatizing terms. This article reviews the diagnostic criteria, clinical relevance, and differences among NAFLD, MAFLD, and MASLD from a diabetologist’s perspective and provides a rationale for adopting SLD/MASLD in the Fatty Liver Research Group of the Korean Diabetes Association.
Original Article
Complications
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Association of Succinate and Adenosine Nucleotide Metabolic Pathways with Diabetic Kidney Disease in Patients with Type 2 Diabetes Mellitus
Inha Jung, Seungyoon Nam, Da Young Lee, So Young Park, Ji Hee Yu, Ji A Seo, Dae Ho Lee, Nan Hee Kim
Diabetes Metab J. 2024;48(6):1126-1134.   Published online July 1, 2024
DOI: https://doi.org/10.4093/dmj.2023.0377
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Although the prevalence of diabetic kidney disease (DKD) is increasing, reliable biomarkers for its early detection are scarce. This study aimed to evaluate the association of adenosine and succinate levels and their related pathways, including hyaluronic acid (HA) synthesis, with DKD.
Methods
We examined 235 participants and categorized them into three groups: healthy controls; those with diabetes but without DKD; and those with DKD, which was defined as estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2. We compared the concentrations of urinary adenosine, succinate, and HA and the serum levels of cluster of differentiation 39 (CD39) and CD73, which are involved in adenosine generation, among the groups with DKD or albuminuria. In addition, we performed multiple logistic regression analysis to evaluate the independent association of DKD or albuminuria with the metabolites after adjusting for risk factors. We also showed the association of these metabolites with eGFR measured several years before enrollment. This study was registered with the Clinical Research Information Service (https://cris.nih.go.kr; Registration number: KCT0003573).
Results
Urinary succinate and serum CD39 levels were higher in the DKD group than in the control and non-DKD groups. Correlation analysis consistently linked urinary succinate and serum CD39 concentrations with eGFR, albuminuria, and ΔeGFR, which was calculated retrospectively. However, among the various metabolites studied, only urinary succinate was identified as an independent indicator of DKD and albuminuria.
Conclusion
Among several potential metabolites, only urinary succinate was independently associated with DKD. These findings hold promise for clinical application in the management of DKD.
Review
Pathophysiology
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Attention to Innate Circadian Rhythm and the Impact of Its Disruption on Diabetes
Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Nan Hee Kim
Diabetes Metab J. 2024;48(1):37-52.   Published online January 3, 2024
DOI: https://doi.org/10.4093/dmj.2023.0193
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  • 1 Web of Science
AbstractAbstract PDFPubReader   ePub   
Novel strategies are required to reduce the risk of developing diabetes and/or clinical outcomes and complications of diabetes. In this regard, the role of the circadian system may be a potential candidate for the prevention of diabetes. We reviewed evidence from animal, clinical, and epidemiological studies linking the circadian system to various aspects of the pathophysiology and clinical outcomes of diabetes. The circadian clock governs genetic, metabolic, hormonal, and behavioral signals in anticipation of cyclic 24-hour events through interactions between a “central clock” in the suprachiasmatic nucleus and “peripheral clocks” in the whole body. Currently, circadian rhythmicity in humans can be subjectively or objectively assessed by measuring melatonin and glucocorticoid levels, core body temperature, peripheral blood, oral mucosa, hair follicles, rest-activity cycles, sleep diaries, and circadian chronotypes. In this review, we summarized various circadian misalignments, such as altered light-dark, sleep-wake, rest-activity, fasting-feeding, shift work, evening chronotype, and social jetlag, as well as mutations in clock genes that could contribute to the development of diabetes and poor glycemic status in patients with diabetes. Targeting critical components of the circadian system could deliver potential candidates for the treatment and prevention of type 2 diabetes mellitus in the future.
Original Articles
Technology/Device
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Clinical and Lifestyle Determinants of Continuous Glucose Monitoring Metrics in Insulin-Treated Patients with Type 2 Diabetes Mellitus
Da Young Lee, Namho Kim, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Jihee Kim, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Sung-Min Park, Nan Hee Kim
Diabetes Metab J. 2023;47(6):826-836.   Published online August 24, 2023
DOI: https://doi.org/10.4093/dmj.2022.0273
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  • 240 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
There was limited evidence to evaluate the association between lifestyle habits and continuous glucose monitoring (CGM) metrics. Thus, we aimed to depict the behavioral and metabolic determinants of CGM metrics in insulin-treated patients with type 2 diabetes mellitus (T2DM).
Methods
This is a prospective observational study. We analyzed data from 122 insulin-treated patients with T2DM. Participants wore Dexcom G6 and Fitbit, and diet information was identified for 10 days. Multivariate-adjusted logistic regression analysis was performed for the simultaneous achievement of CGM-based targets, defined by the percentage of time in terms of hyper, hypoglycemia and glycemic variability (GV). Intake of macronutrients and fiber, step counts, sleep, postprandial C-peptide-to-glucose ratio (PCGR), information about glucose lowering medications and metabolic factors were added to the analyses. Additionally, we evaluated the impact of the distribution of energy and macronutrient during a day, and snack consumption on CGM metrics.
Results
Logistic regression analysis revealed that female, participants with high PCGR, low glycosylated hemoglobin (HbA1c) and daytime step count had a higher probability of achieving all targets based on CGM (odds ratios [95% confidence intervals] which were 0.24 [0.09 to 0.65], 1.34 [1.03 to 1.25], 0.95 [0.9 to 0.99], and 1.15 [1.03 to 1.29], respectively). And participants who ate snacks showed a shorter period of hyperglycemia and less GV compared to those without.
Conclusion
We confirmed that residual insulin secretion, daytime step count, HbA1c, and women were the most relevant determinants of adequate glycemic control in insulin-treated patients with T2DM. In addition, individuals with snack consumption were exposed to lower times of hyperglycemia and GV.

Citations

Citations to this article as recorded by  
  • Explanatory variables of objectively measured 24-h movement behaviors in people with prediabetes and type 2 diabetes: A systematic review
    Lotte Bogaert, Iris Willems, Patrick Calders, Eveline Dirinck, Manon Kinaupenne, Marga Decraene, Bruno Lapauw, Boyd Strumane, Margot Van Daele, Vera Verbestel, Marieke De Craemer
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2024; 18(4): 102995.     CrossRef
Others
Fasting Glucose Variability and the Risk of Dementia in Individuals with Diabetes: A Nationwide Cohort Study
Da Young Lee, Jaeyoung Kim, Sanghyun Park, So Young Park, Ji Hee Yu, Ji A Seo, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Kyungdo Han, Nan Hee Kim
Diabetes Metab J. 2022;46(6):923-935.   Published online May 24, 2022
DOI: https://doi.org/10.4093/dmj.2021.0346
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  • 11 Web of Science
  • 12 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We investigated whether fasting glucose (FG) variability could predict the risk of dementia.
Methods
This cohort study analyzed data from Koreans with diabetes after at least three health examinations by the Korean National Health Insurance Corporation between 2005 and 2010, which included at least one examination between 2009 and 2010. A total of 769,554 individuals were included, excluding those aged <40 years and those with dementia. FG variability was measured using the variability independent of the mean (FG-VIM). The incidence of dementia was defined by the International Classification of Diseases 10th Revision codes and prescription of anti-dementia medication and was subdivided into Alzheimer’s disease (AD) and vascular dementia (VD).
Results
During the 6.9-year follow-up, 54,837, 41,032, and 6,892 cases of all-cause dementia, AD, and VD, respectively, were identified. Cox proportional regression analyses showed that as the FG-VIM quartile increased, the risk of dementia serially increased after adjustment for metabolic factors, income status, and diabetes-related characteristics, including the mean FG. Participants in FG-VIM quartile 4 showed a 18%, 19%, and 17% higher risk for all-cause dementia, AD, and VD, respectively, than those in quartile 1; this particularly included non-obese patients with a longer duration of diabetes, high FG levels, dyslipidemia, and those taking glucose-lowering medications. Conversely, the baseline FG status and dementia showed a U-shaped association.
Conclusion
Increased FG variability over 5 years can predict the risk of dementia in individuals with diabetes in Korea. This finding was more pronounced in patients with less favorable metabolic profiles.

Citations

Citations to this article as recorded by  
  • Fasting glucose variability and risk of dementia in Parkinson’s disease: a 9-year longitudinal follow-up study of a nationwide cohort
    Sung Hoon Kang, Yunjin Choi, Su Jin Chung, Seok-Joo Moon, Chi Kyung Kim, Ji Hyun Kim, Kyungmi Oh, Joon Shik Yoon, Sang Won Seo, Geum Joon Cho, Seong-Beom Koh
    Frontiers in Aging Neuroscience.2024;[Epub]     CrossRef
  • Effects of a Diabetic Microenvironment on Neurodegeneration: Special Focus on Neurological Cells
    Vishal Chavda, Dhananjay Yadav, Snehal Patel, Minseok Song
    Brain Sciences.2024; 14(3): 284.     CrossRef
  • The relationship between diabetes and the dementia risk: a meta-analysis
    Fang Cao, Fushuang Yang, Jian Li, Wei Guo, Chongheng Zhang, Fa Gao, Xinxin Sun, Yi Zhou, Wenfeng Zhang
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Effect of glucose variability on the mortality of adults aged 75 years and over during the first year of the COVID-19 pandemic
    Miguel A. Salinero-Fort, F. Javier San Andrés-Rebollo, Juan Cárdenas-Valladolid, José Mostaza, Carlos Lahoz, Fernando Rodriguez-Artalejo, Paloma Gómez-Campelo, Pilar Vich-Pérez, Rodrigo Jiménez-García, José M. de-Miguel-Yanes, Javier Maroto-Rodriguez, Bel
    BMC Geriatrics.2024;[Epub]     CrossRef
  • Association of remnant cholesterol with risk of dementia: a nationwide population-based cohort study in South Korea
    Ji Hye Heo, Han Na Jung, Eun Roh, Kyung-do Han, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm
    The Lancet Healthy Longevity.2024; 5(8): e524.     CrossRef
  • Glycated Hemoglobin A1c Time in Range and Dementia in Older Adults With Diabetes
    Patricia C. Underwood, Libin Zhang, David C. Mohr, Julia C. Prentice, Richard E. Nelson, Andrew E. Budson, Paul R. Conlin
    JAMA Network Open.2024; 7(8): e2425354.     CrossRef
  • Increased Risk of Alzheimer's Disease With Glycemic Variability: A Systematic Review and Meta-Analysis
    Paul Nichol G Gonzales, Encarnita R Ampil, Joseree-Ann S Catindig-Dela Rosa, Steven G Villaraza, Ma. Lourdes C Joson
    Cureus.2024;[Epub]     CrossRef
  • The Association of Glucose Variability and Dementia Incidence in Latinx Adults with Type 2 Diabetes: A Retrospective Study
    Heather Cuevas, Elizabeth Muñoz, Divya Nagireddy, Jeeyeon Kim, Grace Ganucheau, Fathia Alomoush
    Clinical Nursing Research.2023; 32(2): 249.     CrossRef
  • The effects of long-term cumulative HbA1c exposure on the development and onset time of dementia in the patients with type 2 diabetes mellitus: Hospital based retrospective study (2005–2021)
    Sunyoung Cho, Choon Ok Kim, Bong-soo Cha, Eosu Kim, Chung Mo Nam, Min-Gul Kim, Min Soo Park
    Diabetes Research and Clinical Practice.2023; 201: 110721.     CrossRef
  • Physiological Mechanisms Inherent to Diabetes Involved in the Development of Dementia: Alzheimer’s Disease
    Himan Mohamed-Mohamed, Victoria García-Morales, Encarnación María Sánchez Lara, Anabel González-Acedo, Teresa Pardo-Moreno, María Isabel Tovar-Gálvez, Lucía Melguizo-Rodríguez, Juan José Ramos-Rodríguez
    Neurology International.2023; 15(4): 1253.     CrossRef
  • Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
    Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee
    Scientific Reports.2023;[Epub]     CrossRef
  • Early detection of Dementia in Type 2 Diabetes population: Predictive analytics using Machine learning approach (Preprint)
    Phan Thanh Phuc, Phung-Anh Nguyen, Nam N. Nguyen, Min-Huei Hsu, Khanh NQ. Le, Quoc-Viet Tran, Chih-Wei Huang, Hsuan-Chia Yang, Cheng-Yu Chen, Thi Anh Hoa Le, Minh Khoi Le, Hoang Bac Nguyen, Christine Y. Lu, Jason C. Hsu
    Journal of Medical Internet Research.2023;[Epub]     CrossRef
Short Communication
Technology/Device
Comparison of Laser and Conventional Lancing Devices for Blood Glucose Measurement Conformance and Patient Satisfaction in Diabetes Mellitus
Jung A Kim, Min Jeong Park, Eyun Song, Eun Roh, So Young Park, Da Young Lee, Jaeyoung Kim, Ji Hee Yu, Ji A Seo, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo, Nan Hee Kim
Diabetes Metab J. 2022;46(6):936-940.   Published online March 30, 2022
DOI: https://doi.org/10.4093/dmj.2021.0293
  • 6,460 View
  • 276 Download
  • 3 Web of Science
  • 2 Crossref
AbstractAbstract PDFPubReader   ePub   
Self-monitoring of capillary blood glucose is important for controlling diabetes. Recently, a laser lancing device (LMT-1000) that can collect capillary blood without skin puncture was developed. We enrolled 150 patients with type 1 or 2 diabetes mellitus. Blood sampling was performed on the same finger on each hand using the LMT-1000 or a conventional lancet. The primary outcome was correlation between glucose values using the LMT-1000 and that using a lancet. And we compared the pain and satisfaction of the procedures. The capillary blood sampling success rates with the LMT-1000 and lancet were 99.3% and 100%, respectively. There was a positive correlation (r=0.974, P<0.001) between mean blood glucose levels in the LMT-1000 (175.8±63.0 mg/dL) and conventional lancet samples (172.5±63.6 mg/dL). LMT-1000 reduced puncture pain by 75.0% and increased satisfaction by 80.0% compared to a lancet. We demonstrated considerable consistency in blood glucose measurements between samples from the LMT-1000 and a lancet, but improved satisfaction and clinically significant pain reduction were observed with the LMT-1000 compared to those with a lancet.

Citations

Citations to this article as recorded by  
  • Comparison between a laser-lancing device and automatic incision lancet for capillary blood sampling from the heel of newborn infants: a randomized feasibility trial
    Chul Kyu Yun, Eui Kyung Choi, Hyung Jin Kim, Jaeyoung Kim, Byung Cheol Park, Kyuhee Park, Byung Min Choi
    Journal of Perinatology.2024; 44(8): 1193.     CrossRef
  • Comparison of laser and traditional lancing devices for capillary blood sampling in patients with diabetes mellitus and high bleeding risk
    Min Jeong Park, Soon Young Hwang, Ahreum Jang, Soo Yeon Jang, Eyun Song, So Young Park, Da Young Lee, Jaeyoung Kim, Byung Cheol Park, Ji Hee Yu, Ji A Seo, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo, Nan Hee Kim
    Lasers in Medical Science.2024;[Epub]     CrossRef
Original Articles
Clinical Complications
Incidence and Risk Factors for Dementia in Type 2 Diabetes Mellitus: A Nationwide Population-Based Study in Korea
Ji Hee Yu, Kyungdo Han, Sanghyun Park, Hanna Cho, Da Young Lee, Jin-Wook Kim, Ji A Seo, Sin Gon Kim, Sei Hyun Baik, Yong Gyu Park, Kyung Mook Choi, Seon Mee Kim, Nan Hee Kim
Diabetes Metab J. 2020;44(1):113-124.   Published online November 12, 2019
DOI: https://doi.org/10.4093/dmj.2018.0216
  • 9,462 View
  • 228 Download
  • 39 Web of Science
  • 38 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Diabetes mellitus is associated with an increased risk of dementia. We aimed to comprehensively analyze the incidence and risk factors for dementia and young-onset dementia (YOD) in diabetic patients in Korea using the National Health Insurance Service data.

Methods

Between January 1, 2009 and December 31, 2012, a total of 1,917,702 participants with diabetes were included and followed until the date of dementia diagnosis or until December 31, 2015. We evaluated the incidence and risk factors for all dementia, Alzheimer's disease (AD), and vascular dementia (VaD) by Cox proportional hazards analyses. We also compared the impact of risk factors on the occurrence of YOD and late-onset dementia (LOD).

Results

During an average of 5.1 years of follow-up, the incidence of all types of dementia, AD, or VaD was 9.5, 6.8, and 1.3/1,000 person-years, respectively, in participants with diabetes. YOD comprised 4.8% of all dementia occurrence, and the ratio of AD/VaD was 2.1 for YOD compared with 5.5 for LOD. Current smokers and subjects with lower income, plasma glucose levels, body mass index (BMI), and subjects with hypertension, dyslipidemia, vascular complications, depression, and insulin treatment developed dementia more frequently. Vascular risk factors such as smoking, hypertension, and previous cardiovascular diseases were more strongly associated with the development of VaD than AD. Low BMI and a history of stroke or depression had a stronger influence on the development of YOD than LOD.

Conclusion

The optimal management of modifiable risk factors may be important for preventing dementia in subjects with diabetes mellitus.

Citations

Citations to this article as recorded by  
  • Type-2 Diabetes Alters Hippocampal Neural Oscillations and Disrupts Synchrony between the Hippocampus and Cortex
    Gratianne Rabiller, Zachary Ip, Shahram Zarrabian, Hongxia Zhang, Yoshimichi Sato, Azadeh Yazdan-Shahmorad, Jialing Liu
    Aging and disease.2024; 15(5): 2255.     CrossRef
  • Unlocking the Protective Potential of Upper Respiratory Infection Treatment Histories against Alzheimer’s Disease: A Korean Adult Population Study
    Ho Suk Kang, Ji Hee Kim, Joo-Hee Kim, Woo Jin Bang, Hyo Geun Choi, Nan Young Kim, Ha Young Park, Mi Jung Kwon
    Journal of Clinical Medicine.2024; 13(1): 260.     CrossRef
  • Hepatopancreatic metabolic disorders and their implications in the development of Alzheimer's disease and vascular dementia
    Francisco I. Pinheiro, Irami Araújo-Filho, Amália C.M. do Rego, Eduardo P. de Azevedo, Ricardo N. Cobucci, Fausto P. Guzen
    Ageing Research Reviews.2024; 96: 102250.     CrossRef
  • Sex Differences in the Trajectories of Cognitive Decline and Affected Cognitive Domains Among Older Adults With Controlled and Uncontrolled Glycemia
    Natália Cochar-Soares, Dayane C de Oliveira, Mariane M Luiz, Márlon J R Aliberti, Claudia K Suemoto, Andrew Steptoe, Cesar de Oliveira, Tiago S Alexandre, Jay Magaziner
    The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences.2024;[Epub]     CrossRef
  • SGLT2 Inhibitor Use and Risk of Dementia and Parkinson Disease Among Patients With Type 2 Diabetes
    Hae Kyung Kim, Geert Jan Biessels, Min Heui Yu, Namki Hong, Yong-ho Lee, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Eun Jig Lee, Minyoung Lee
    Neurology.2024;[Epub]     CrossRef
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    Yu‐Hsin Yen, Fu‐Shun Yen, Fu‐Shun Ko, James Cheng‐Chung Wei, Yuhan Huang, Teng‐Shun Yu, Chii‐Min Hwu, Chih‐Cheng Hsu
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    Antonia J. Clarke, Amy Brodtmann, Muireann Irish, Loren Mowszowski, Kylie Radford, Sharon L. Naismith, Vincent C.T. Mok, Matthew C. Kiernan, Glenda M. Halliday, Rebekah M. Ahmed
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    Hyunji Sang, Hojae Lee, Jaeyu Park, Sunyoung Kim, Ho Geol Woo, Ai Koyanagi, Lee Smith, Sihoon Lee, You-Cheol Hwang, Tae Sun Park, Hyunjung Lim, Dong Keon Yon, Sang Youl Rhee
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    Soumilee Chaudhuri, Desarae A. Dempsey, Yen‐Ning Huang, Tamina Park, Sha Cao, Evgeny J. Chumin, Hannah Craft, Paul K. Crane, Shubhabrata Mukherjee, Seo‐Eun Choi, Phoebe Scollard, Michael Lee, Connie Nakano, Jesse Mez, Emily H. Trittschuh, Brandon S. Kline
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    Sunyoung Cho, Choon Ok Kim, Bong-soo Cha, Eosu Kim, Chung Mo Nam, Min-Gul Kim, Min Soo Park
    Diabetes Research and Clinical Practice.2023; 201: 110721.     CrossRef
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  • Diabetic retinopathy and cognitive dysfunction: a systematic review and meta-analysis
    Mei Wu, Fan Mei, Kaiyan Hu, Liyuan Feng, Zhe Wang, Qianqian Gao, Fei Chen, Li Zhao, Xiaohui Li, Bin Ma
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    Yeng Yan Chow, Milou Verdonschot, Claire T. McEvoy, Geeske Peeters
    Diabetes Research and Clinical Practice.2022; 185: 109227.     CrossRef
  • Diabetes Mellitus: A Path to Amnesia, Personality, and Behavior Change
    Rahnuma Ahmad, Kona Chowdhury, Santosh Kumar, Mohammed Irfan, Govindool Reddy, Farhana Akter, Dilshad Jahan, Mainul Haque
    Biology.2022; 11(3): 382.     CrossRef
  • Hypothyroidism and Diabetes-Related Dementia: Focused on Neuronal Dysfunction, Insulin Resistance, and Dyslipidemia
    Hee Kyung Kim, Juhyun Song
    International Journal of Molecular Sciences.2022; 23(6): 2982.     CrossRef
  • Type 2 Diabetes Mellitus as a Risk Factor for Alzheimer’s Disease: Review and Meta-Analysis
    Athanasia Athanasaki, Konstantinos Melanis, Ioanna Tsantzali, Maria Ioanna Stefanou, Sofia Ntymenou, Sotirios G. Paraskevas, Theodosis Kalamatianos, Eleni Boutati, Vaia Lambadiari, Konstantinos I. Voumvourakis, George Stranjalis, Sotirios Giannopoulos, Ge
    Biomedicines.2022; 10(4): 778.     CrossRef
  • Cardiometabolic measures and cognition in early menopause - Analysis of baseline data from a randomized controlled trial
    Lubna Pal, Kelly Morgan, Nanette F. Santoro, JoAnn E. Manson, Hugh S. Taylor, Virginia M. Miller, Eliot A. Brinton, Rogerio Lobo, Genevieve Neal-Perry, Marcelle I. Cedars, S. Mitchell Harman, Taryn T. James, Carey E. Gleason
    Maturitas.2022; 162: 58.     CrossRef
  • Dysfunctional Glucose Metabolism in Alzheimer’s Disease Onset and Potential Pharmacological Interventions
    Vijay Kumar, So-Hyeon Kim, Kausik Bishayee
    International Journal of Molecular Sciences.2022; 23(17): 9540.     CrossRef
  • Metabolically healthy obesity: it is time to consider its dynamic changes
    Yun Kyung Cho, Chang Hee Jung
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(4): 123.     CrossRef
  • Association between cholesterol levels and dementia risk according to the presence of diabetes and statin use: a nationwide cohort study
    You-Bin Lee, Min Young Kim, Kyungdo Han, Bongsung Kim, Jiyun Park, Gyuri Kim, Kyu Yeon Hur, Jae Hyeon Kim, Sang-Man Jin
    Scientific Reports.2022;[Epub]     CrossRef
  • The insulin resistance by triglyceride glucose index and risk for dementia: population-based study
    Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Alzheimer's Research & Therapy.2021;[Epub]     CrossRef
  • The identification of established modifiable mid-life risk factors for cardiovascular disease which contribute to cognitive decline: Korean Longitudinal Study of Aging (KLoSA)
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Prevalence and Determinants of Diabetic Nephropathy in Korea: Korea National Health and Nutrition Examination Survey
Jae Hee Ahn, Ji Hee Yu, Seung-Hyun Ko, Hyuk-Sang Kwon, Dae Jung Kim, Jae Hyeon Kim, Chul Sik Kim, Kee-Ho Song, Jong Chul Won, Soo Lim, Sung Hee Choi, Kyungdo Han, Bong-Yun Cha, Nan Hee Kim
Diabetes Metab J. 2014;38(2):109-119.   Published online April 18, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.2.109
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AbstractAbstract PDFPubReader   
Background

Diabetic nephropathy is a leading cause of end stage renal disease and is associated with an increased risk of cardiovascular mortality. It manifests as albuminuria or impaired glomerular filtration rate (GFR), and the prevalence of diabetic nephropathy varies with ethnicity. The prevalence of diabetic nephropathy and its determinants in Korean adults have not previously been studied at the national level. This cross-sectional study was undertaken to ascertain the prevalence and determinants of albuminuria and chronic kidney disease (CKD) in Korean patients with diabetes.

Methods

The Korea National Health and Nutrition Examination Survey (KNHANES) V, conducted in 2011, was used to define albuminuria (n=4,652), and the dataset of KNHANES IV-V (2008-2011) was used to define CKD (n=21,521). Selected samples were weighted to represent the entire civilian population in Korea. Albuminuria was defined as a spot urine albumin/creatinine ratio >30 mg/g. CKD was defined as a GFR <60 mL/min/1.73 m2.

Results

Among subjects with diabetes, 26.7% had albuminuria, and 8.6% had CKD. Diabetes was associated with an approximate 2.5-fold increased risk of albuminuria, with virtually no difference between new-onset and previously diagnosed diabetes. Only systolic blood pressure was significantly associated with albuminuria, and old age, high serum triglyceride levels, and previous cardiovascular disease (CVD) were related with CKD in subjects with diabetes.

Conclusion

Korean subjects with diabetes had a higher prevalence of albuminuria and CKD than those without diabetes. Blood pressure was associated with albuminuria, and age, triglyceride level, and previous CVD were independent determinants of CKD in subjects with diabetes.

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Review
Molecular Mechanisms of Appetite Regulation
Ji Hee Yu, Min-Seon Kim
Diabetes Metab J. 2012;36(6):391-398.   Published online December 12, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.6.391
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AbstractAbstract PDFPubReader   

The prevalence of obesity has been rapidly increasing worldwide over the last several decades and has become a major health problem in developed countries. The brain, especially the hypothalamus, plays a key role in the control of food intake by sensing metabolic signals from peripheral organs and modulating feeding behaviors. To accomplish these important roles, the hypothalamus communicates with other brain areas such as the brainstem and reward-related limbic pathways. The adipocyte-derived hormone leptin and pancreatic β-cell-derived insulin inform adiposity to the hypothalamus. Gut hormones such as cholecystokinin, peptide YY, pancreatic polypeptide, glucagon-like peptide 1, and oxyntomodulin transfer satiety signals to the brain and ghrelin relays hunger signals. The endocannabinoid system and nutrients are also involved in the physiological regulation of food intake. In this article, we briefly review physiological mechanisms of appetite regulation.

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Response
Response: The Prevalence of Peripheral Arterial Disease in Korean Patients with Type 2 Diabetes Mellitus Attending a University Hospital (Diabetes Metab J 2011;35:543-50)
Ji Hee Yu, Ki-Up Lee
Diabetes Metab J. 2012;36(1):77-78.   Published online February 17, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.1.77
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  • Low ankle-brachial index is an independent predictor of poor functional outcome in acute cerebral infarction
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Original Articles
The Prevalence of Peripheral Arterial Disease in Korean Patients with Type 2 Diabetes Mellitus Attending a University Hospital
Ji Hee Yu, Jenie Yoonoo Hwang, Mi-Seon Shin, Chang Hee Jung, Eun Hee Kim, Sang Ah Lee, Eun Hee Koh, Woo Je Lee, Min-Seon Kim, Joong-Yeol Park, Ki-Up Lee
Diabetes Metab J. 2011;35(5):543-550.   Published online October 31, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.5.543
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  • 59 Download
  • 21 Crossref
AbstractAbstract PDFPubReader   
Background

Peripheral arterial disease (PAD) is a common manifestation of systemic atherosclerosis and is associated with significant morbidity and mortality. Diabetes is known to increase the risk of PAD two- to four-fold. The prevalence of PAD in Korean diabetic patients has not been established. In this study, we investigated the prevalence of PAD in Korean patients with type 2 diabetes attending a large university hospital and analyzed the factors associated with PAD.

Methods

A total of 2,002 patients with type 2 diabetes who underwent ankle-brachial index (ABI) measurement in an outpatient clinic were enrolled. PAD was defined as an ABI ≤0.9. Clinical characteristics of 64 patients with PAD were compared with those of 192 age- and sex-matched control patients without PAD.

Results

Of the 2,002 type 2 diabetic patients, 64 (3.2%) were diagnosed as having PAD. PAD was associated with higher prevalences of retinopathy, nephropathy, neuropathy, cerebrovascular and coronary artery disease. Patients with PAD had higher systolic blood pressure and serum triglyceride level and reported higher pack-years of smoking. Multivariate analysis showed that the presence of micro- and macrovascular complications and high systolic blood pressure are factors independently associated with PAD.

Conclusion

The prevalence of PAD in diabetic patients was 3.2%, suggesting that the prevalence in Korean diabetic patients is lower than that of patients in Western countries.

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Lack of Association between Serum Cystatin C Levels and Coronary Artery Disease in Diabetic Patients
Eun Hee Kim, Ji Hee Yu, Sang Ah Lee, Eui Young Kim, Won Gu Kim, Seung Hun Lee, Eun Hee Cho, Eun Hee Koh, Woo Je Lee, Min-Seon Kim, Joong-Yeol Park, Ki-Up Lee
Korean Diabetes J. 2010;34(2):95-100.   Published online April 30, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.2.95
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AbstractAbstract PDFPubReader   
Background

Serum cystatin C level is a more sensitive marker of renal dysfunction than serum creatinine level. Serum cystatin C level was recently reported to predict the development of cardiovascular disease. This study was performed to evaluate whether the cystatin C level is associated with coronary artery disease (CAD), independent of diabetic nephropathy.

Methods

We conducted a case-control study to assess the relationship between serum cystatin C level and coronary artery disease in diabetic patients. Among 460 diabetic patients, 38 diabetic patients had CAD. The control group consisted of 38 diabetic patients who were matched to cases by age, sex, and presence/absence of diabetic nephropathy. Serum cystatin C level was measured in stored samples.

Results

Serum cystatin C level was significantly higher in patients with diabetic nephropathy, both in CAD and non-CAD patients. However, serum cystatin C level did not differ between CAD and non-CAD patients, regardless of diabetic nephropathy.

Conclusion

Serum cystatin C level is a marker of renal dysfunction, but not coronary artery disease, in diabetic patients.

Citations

Citations to this article as recorded by  
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    Clinica Chimica Acta.2015; 448: 170.     CrossRef
  • Association of plasma cystatin C levels with angiographically documented coronary artery disease in patients of Indian origin
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  • Cystatin C and asymptomatic coronary artery disease in patients with metabolic syndrome and normal glomerular filtration rate
    Xie Qing, Wang Furong, Liu Yunxia, Zhang Jian, Wang Xuping, Gao Ling
    Cardiovascular Diabetology.2012;[Epub]     CrossRef
  • Response: Lack of Association between Serum Cystatin C Levels and Coronary Artery Disease in Diabetic Patients (Korean Diabetes J 2010;34:95-100)
    Eun Hee Kim, Ki-Up Lee
    Korean Diabetes Journal.2010; 34(3): 209.     CrossRef
  • Serum Cystatin C as a Biomarker for Predicting Coronary Artery Disease in Diabetes
    Jee-Young Oh
    Korean Diabetes Journal.2010; 34(2): 84.     CrossRef
  • Letter: Lack of Association between Serum Cystatin C Levels and Coronary Artery Disease in Diabetic Patients (Korean Diabetes J 2010;34:95-100)
    Kyu-Chang Won
    Korean Diabetes Journal.2010; 34(3): 207.     CrossRef

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