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Original Articles
Basic Research
Glucagon-Like Peptide Receptor Agonist Inhibits Angiotensin II-Induced Proliferation and Migration in Vascular Smooth Muscle Cells and Ameliorates Phosphate-Induced Vascular Smooth Muscle Cells Calcification
Jinmi Lee, Seok-Woo Hong, Min-Jeong Kim, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
Diabetes Metab J. 2024;48(1):83-96.   Published online January 3, 2024
DOI: https://doi.org/10.4093/dmj.2022.0363
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  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Glucagon-like peptide-1 receptor agonist (GLP-1RA), which is a therapeutic agent for the treatment of type 2 diabetes mellitus, has a beneficial effect on the cardiovascular system.
Methods
To examine the protective effects of GLP-1RAs on proliferation and migration of vascular smooth muscle cells (VSMCs), A-10 cells exposed to angiotensin II (Ang II) were treated with either exendin-4, liraglutide, or dulaglutide. To examine the effects of GLP-1RAs on vascular calcification, cells exposed to high concentration of inorganic phosphate (Pi) were treated with exendin-4, liraglutide, or dulaglutide.
Results
Ang II increased proliferation and migration of VSMCs, gene expression levels of Ang II receptors AT1 and AT2, proliferation marker of proliferation Ki-67 (Mki-67), proliferating cell nuclear antigen (Pcna), and cyclin D1 (Ccnd1), and the protein expression levels of phospho-extracellular signal-regulated kinase (p-Erk), phospho-c-JUN N-terminal kinase (p-JNK), and phospho-phosphatidylinositol 3-kinase (p-Pi3k). Exendin-4, liraglutide, and dulaglutide significantly decreased the proliferation and migration of VSMCs, the gene expression levels of Pcna, and the protein expression levels of p-Erk and p-JNK in the Ang II-treated VSMCs. Erk inhibitor PD98059 and JNK inhibitor SP600125 decreased the protein expression levels of Pcna and Ccnd1 and proliferation of VSMCs. Inhibition of GLP-1R by siRNA reversed the reduction of the protein expression levels of p-Erk and p-JNK by exendin-4, liraglutide, and dulaglutide in the Ang II-treated VSMCs. Moreover, GLP-1 (9-36) amide also decreased the proliferation and migration of the Ang II-treated VSMCs. In addition, these GLP-1RAs decreased calcium deposition by inhibiting activating transcription factor 4 (Atf4) in Pi-treated VSMCs.
Conclusion
These data show that GLP-1RAs ameliorate aberrant proliferation and migration in VSMCs through both GLP-1Rdependent and independent pathways and inhibit Pi-induced vascular calcification.

Citations

Citations to this article as recorded by  
  • Incretin Hormone Secretion in Women with Polycystic Ovary Syndrome: Roles of Obesity, Insulin Sensitivity and Treatment with Metformin and GLP-1s
    Andrea Etrusco, Mislav Mikuš, Antonio D’Amato, Fabio Barra, Petar Planinić, Trpimir Goluža, Giovanni Buzzaccarini, Jelena Marušić, Mara Tešanović, Antonio Simone Laganà
    Biomedicines.2024; 12(3): 653.     CrossRef
Complications
Impact of Hyperglycemia on Complication and Mortality after Transarterial Chemoembolization for Hepatocellular Carcinoma
Sun Joon Moon, Chang Ho Ahn, Yun Bin Lee, Young Min Cho
Diabetes Metab J. 2024;48(2):302-311.   Published online January 3, 2024
DOI: https://doi.org/10.4093/dmj.2022.0255
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Current guidelines regarding periprocedural glycemic control to prevent complications after nonsurgical invasive procedures are insufficient. Transarterial chemoembolization (TACE) is a widely used treatment for unresectable hepatocellular carcinoma. We aimed to investigate the association between diabetes mellitus (DM) per se and the degree of hyperglycemia with postprocedural complications after TACE.
Methods
A total of 22,159 TACE procedures performed at Seoul National University Hospital from 2005 to 2018 were retrospectively analyzed. The associations between DM, preprocedural glycosylated hemoglobin (HbA1c), and periprocedural average glucose with postprocedural adverse outcomes were evaluated. The primary outcome was occurrence of postprocedural bacteremia. Secondary outcomes were acute kidney injury (AKI), delayed discharge and death within 14 days. Periprocedural glucose was averaged over 3 days: the day of, before, and after the TACE procedures. Propensity score matching was applied for procedures between patients with or without DM.
Results
Periprocedural average glucose was significantly associated with bacteremia (adjusted odds ratio per 50 mg/dL of glucose, 1.233; 95% confidence interval, 1.071 to 1.420; P=0.004), AKI, delayed discharge, and death within 14 days. DM per se was only associated with bacteremia and AKI. Preprocedural HbA1c was associated with delayed discharge. Average glucose levels above 202 and 181 mg/dL were associated with a significantly higher risk of bacteremia and AKI, respectively, than glucose levels of 126 mg/dL or lower.
Conclusion
Periprocedural average glucose, but not HbA1c, was associated with adverse outcomes after TACE, which is a nonsurgical invasive procedure. This suggests the importance of periprocedural glycemic control to reduce postprocedural complications.
Letter
Review
Technology/Device
Current Advances of Artificial Pancreas Systems: A Comprehensive Review of the Clinical Evidence
Sun Joon Moon, Inha Jung, Cheol-Young Park
Diabetes Metab J. 2021;45(6):813-839.   Published online November 22, 2021
DOI: https://doi.org/10.4093/dmj.2021.0177
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  • 28 Web of Science
  • 28 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Since Banting and Best isolated insulin in the 1920s, dramatic progress has been made in the treatment of type 1 diabetes mellitus (T1DM). However, dose titration and timely injection to maintain optimal glycemic control are often challenging for T1DM patients and their families because they require frequent blood glucose checks. In recent years, technological advances in insulin pumps and continuous glucose monitoring systems have created paradigm shifts in T1DM care that are being extended to develop artificial pancreas systems (APSs). Numerous studies that demonstrate the superiority of glycemic control offered by APSs over those offered by conventional treatment are still being published, and rapid commercialization and use in actual practice have already begun. Given this rapid development, keeping up with the latest knowledge in an organized way is confusing for both patients and medical staff. Herein, we explore the history, clinical evidence, and current state of APSs, focusing on various development groups and the commercialization status. We also discuss APS development in groups outside the usual T1DM patients and the administration of adjunct agents, such as amylin analogues, in APSs.

Citations

Citations to this article as recorded by  
  • Integration of a Safety Module to Prevent Rebound Hypoglycemia in Closed-Loop Artificial Pancreas Systems
    María F. Villa-Tamayo, Patricio Colmegna, Marc D. Breton
    Journal of Diabetes Science and Technology.2024; 18(2): 318.     CrossRef
  • The effects of acute hyperglycaemia on sports and exercise performance in type 1 diabetes: A systematic review and meta-analysis
    Bonar McGuire, Hashim Dadah, Dominic Oliver
    Journal of Science and Medicine in Sport.2024; 27(2): 78.     CrossRef
  • A new approach to stabilize diabetes systems with time-varying delays and disturbance rejection
    S. Syafiie, Fahd Alharbi, Abdullah Ali Alshehri, Bassam Hasanain
    Journal of the Franklin Institute.2024; 361(1): 543.     CrossRef
  • Effects of Low-Dose Glucagon on Subcutaneous Insulin Absorption in Pigs
    Ingrid Anna Teigen, Marte Kierulf Åm, Misbah Riaz, Sverre Christian Christiansen, Sven Magnus Carlsen
    Current Therapeutic Research.2024; 100: 100736.     CrossRef
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    Martin Dodek, Eva Miklovičová
    IEEE Access.2024; 12: 35899.     CrossRef
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    B. Wayne Bequette
    Korean Journal of Chemical Engineering.2023; 40(1): 1.     CrossRef
  • Efficacy of intermittent short‐term use of a real‐time continuous glucose monitoring system in non‐insulin–treated patients with type 2 diabetes: A randomized controlled trial
    Sun Joon Moon, Kyung‐Soo Kim, Woo Je Lee, Mi Yeon Lee, Robert Vigersky, Cheol‐Young Park
    Diabetes, Obesity and Metabolism.2023; 25(1): 110.     CrossRef
  • Identifiable prediction animal model for the bi-hormonal intraperitoneal artificial pancreas
    Karim Davari Benam, Hasti Khoshamadi, Marte Kierulf Åm, Øyvind Stavdahl, Sebastien Gros, Anders Lyngvi Fougner
    Journal of Process Control.2023; 121: 13.     CrossRef
  • Advances in Continuous Glucose Monitoring and Integrated Devices for Management of Diabetes with Insulin-Based Therapy: Improvement in Glycemic Control
    Jee Hee Yoo, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2023; 47(1): 27.     CrossRef
  • CGM accuracy: Contrasting CE marking with the governmental controls of the USA (FDA) and Australia (TGA): A narrative review
    John S Pemberton, Emma G Wilmot, Katharine Barnard‐Kelly, Lalantha Leelarathna, Nick Oliver, Tabitha Randell, Craig E Taplin, Pratik Choudhary, Peter Adolfsson
    Diabetes, Obesity and Metabolism.2023; 25(4): 916.     CrossRef
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    Howaida Moawad Ahmed Ali
    Kontakt.2023; 25(2): 100.     CrossRef
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    Martin Dodek, Eva Miklovičová
    Control Theory and Technology.2023; 21(4): 541.     CrossRef
  • A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials
    Martina Vettoretti, Martina Drecogna, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
    Computer Methods and Programs in Biomedicine.2023; 240: 107700.     CrossRef
  • Drug delivery breakthrough technologies – A perspective on clinical and societal impact
    Beate Bittner, Manuel Sánchez-Félix, Dennis Lee, Athanas Koynov, Joshua Horvath, Felix Schumacher, Simon Matoori
    Journal of Controlled Release.2023; 360: 335.     CrossRef
  • Importance of continuous glucose monitoring in the treatment of diabetes mellitus
    Sun Joon Moon, Won-Young Lee
    Journal of the Korean Medical Association.2023; 66(7): 432.     CrossRef
  • Constrained Versus Unconstrained Model Predictive Control for Artificial Pancreas
    Chiara Toffanin, Lalo Magni
    IEEE Transactions on Control Systems Technology.2023; 31(5): 2288.     CrossRef
  • Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up?
    Valentina Maria Cambuli, Marco Giorgio Baroni
    International Journal of Molecular Sciences.2023; 24(17): 13139.     CrossRef
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    Gopal Bhagwan Khodve, Sugato Banerjee
    Current Diabetes Reviews.2023;[Epub]     CrossRef
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    M. K. Åm, I. A. Teigen, M. Riaz, A. L. Fougner, S. C. Christiansen, S. M. Carlsen
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    Mohammad Reza Askari, Mohammad Ahmadasas, Andrew Shahidehpour, Mudassir Rashid, Laurie Quinn, Minsun Park, Ali Cinar
    Journal of Diabetes Science and Technology.2023; 17(6): 1456.     CrossRef
  • Advanced Technology (Continuous Glucose Monitoring and Advanced Hybrid Closed-Loop Systems) in Diabetes from the Perspective of Gender Differences
    Maria Grazia Nuzzo, Marciano Schettino
    Diabetology.2023; 4(4): 519.     CrossRef
  • Artificial Pancreas under a Zone Model Predictive Control based on Gaussian Process models: toward the personalization of the closed loop
    Marco Polver, Beatrice Sonzogni, Mirko Mazzoleni, Fabio Previdi, Antonio Ferramosca
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    Chiara Toffanin, Lalo Magni
    IFAC-PapersOnLine.2023; 56(2): 9648.     CrossRef
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    Baoqi Zeng, Le Gao, Qingqing Yang, Hao Jia, Feng Sun
    Diabetes Care.2023; 46(12): 2300.     CrossRef
  • Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study
    Eun Yeong Ha, Seung Min Chung, Il Rae Park, Yin Young Lee, Eun Young Choi, Jun Sung Moon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
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    Baoqi Zeng, Hao Jia, Le Gao, Qingqing Yang, Kai Yu, Feng Sun
    Diabetes, Obesity and Metabolism.2022; 24(10): 1967.     CrossRef
  • Dual-Hormone Insulin-and-Pramlintide Artificial Pancreas for Type 1 Diabetes: A Systematic Review
    Alezandra Torres-Castaño, Amado Rivero-Santana, Lilisbeth Perestelo-Pérez, Andrea Duarte-Díaz, Analia Abt-Sacks, Vanesa Ramos-García, Yolanda Álvarez-Pérez, Ana M. Wäagner, Mercedes Rigla, Pedro Serrano-Aguilar
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    Jae Hyun Kim, Choong Ho Shin, Sei Won Yang
    Annals of Pediatric Endocrinology & Metabolism.2021; 26(4): 237.     CrossRef
Original Articles
Drug/Regimen
Comparison of Prevailing Insulin Regimens at Different Time Periods in Hospitalized Patients: A Real-World Experience from a Tertiary Hospital
Sun Joon Moon, Hun Jee Choe, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
Diabetes Metab J. 2022;46(3):439-450.   Published online October 20, 2021
DOI: https://doi.org/10.4093/dmj.2021.0065
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Prevailing insulin regimens for glycemic control in hospitalized patients have changed over time. We aimed to determine whether the current basal-bolus insulin (BBI) regimen is superior to the previous insulin regimen, mainly comprising split-mixed insulin therapy.
Methods
This was a single tertiary center, retrospective observational study that included non-critically ill patients with type 2 diabetes mellitus who were treated with split-mixed insulin regimens from 2004 to 2007 (period 1) and with BBI from 2008 to 2018 (period 2). Patients from each period were analyzed after propensity score matching. The mean difference in glucose levels and the achievement of fasting and preprandial glycemic targets by day 6 of admission were assessed. The total daily insulin dose, incidence of hypoglycemia, and length of hospital stay were also evaluated.
Results
Among 244 patients from each period, both fasting glucose (estimated mean±standard error, 147.4±3.1 mg/dL vs. 129.4±3.2 mg/dL, P<0.001, day 6) and preprandial glucose (177.7±2.8 mg/dL vs. 152.8±2.8 mg/dL, P<0.001, day 6) were lower in period 2 than in period 1. By day 6 of hospital admission, 42.6% and 67.2% of patients achieved a preprandial glycemic target of <140 mg/dL in periods 1 and 2, respectively (relative risk, 2.00; 95% confidence interval, 1.54 to 2.59), without an increased incidence of hypoglycemia. Length of stay was shorter in period 2 (10.23±0.26 days vs. 8.70±0.26 days, P<0.001).
Conclusion
BBI improved glycemic control in a more efficacious manner than a split-mixed insulin regimen without increasing the risk of hypoglycemia in a hospital setting.
Drug/Regimen
Efficacy and Safety of Self-Titration Algorithms of Insulin Glargine 300 units/mL in Individuals with Uncontrolled Type 2 Diabetes Mellitus (The Korean TITRATION Study): A Randomized Controlled Trial
Jae Hyun Bae, Chang Ho Ahn, Ye Seul Yang, Sun Joon Moon, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
Diabetes Metab J. 2022;46(1):71-80.   Published online June 16, 2021
DOI: https://doi.org/10.4093/dmj.2020.0274
  • 7,974 View
  • 434 Download
  • 1 Web of Science
  • 3 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To compare the efficacy and safety of two insulin self-titration algorithms, Implementing New Strategies with Insulin Glargine for Hyperglycemia Treatment (INSIGHT) and EDITION, for insulin glargine 300 units/mL (Gla-300) in Korean individuals with uncontrolled type 2 diabetes mellitus (T2DM).
Methods
In a 12-week, randomized, open-label trial, individuals with uncontrolled T2DM requiring basal insulin were randomized to either the INSIGHT (adjusted by 1 unit/day) or EDITION (adjusted by 3 units/week) algorithm to achieve a fasting self-monitoring of blood glucose (SMBG) in the range of 4.4 to 5.6 mmol/L. The primary outcome was the proportion of individuals achieving a fasting SMBG ≤5.6 mmol/L without noct urnal hypoglycemia at week 12.
Results
Of 129 individuals (age, 64.1±9.5 years; 66 [51.2%] women), 65 and 64 were randomized to the INSIGHT and EDITION algorithms, respectively. The primary outcome of achievement was comparable between the two groups (24.6% vs. 23.4%, P=0.876). Compared with the EDITION group, the INSIGHT group had a greater reduction in 7-point SMBG but a similar decrease in fasting plasma glucose and glycosylated hemoglobin. The increment of total daily insulin dose was significantly higher in the INSIGHT group than in the EDITION group (between-group difference: 5.8±2.7 units/day, P=0.033). However, body weight was significantly increased only in the EDITION group (0.6±2.4 kg, P=0.038). There was no difference in the occurrence of hypoglycemia between the two groups. Patient satisfaction was significantly increased in the INSIGHT group (P=0.014).
Conclusion
The self-titration of Gla-300 using the INSIGHT algorithm was effective and safe compared with that using the EDITION algorithm in Korean individuals with uncontrolled T2DM (ClinicalTrials.gov number: NCT03406663).

Citations

Citations to this article as recorded by  
  • Basal insulin titration algorithms in patients with type 2 diabetes: the simplest is the best (?)
    V.I. Katerenchuk
    INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine).2023; 19(1): 72.     CrossRef
  • Issues of insulin therapy for type 2 diabetes and ways to solve them
    V.I. Katerenchuk, A.V. Katerenchuk
    INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine).2023; 19(3): 240.     CrossRef
  • Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
    Camilla Heisel Nyholm Thomsen, Stine Hangaard, Thomas Kronborg, Peter Vestergaard, Ole Hejlesen, Morten Hasselstrøm Jensen
    Journal of Diabetes Science and Technology.2022; : 193229682211459.     CrossRef
Response
Independent Impact of Diabetes on the Severity of Coronavirus Disease 2019 in 5,307 Patients in South Korea: A Nationwide Cohort Study (Diabetes Metab J 2020;44:737-46)
Sun Joon Moon, Eun-Jung Rhee, Won-Young Lee, Kun-Ho Yoon
Diabetes Metab J. 2020;44(6):942-943.   Published online December 23, 2020
DOI: https://doi.org/10.4093/dmj.2020.0266
  • 3,684 View
  • 74 Download
  • 1 Crossref
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Citations

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  • Mechanisms and clinical relevance of the bidirectional relationship of viral infections with metabolic diseases
    Nikolaos Perakakis, Hani Harb, Benjamin G Hale, Zsuzsanna Varga, Charlotte Steenblock, Waldemar Kanczkowski, Vasileia Ismini Alexaki, Barbara Ludwig, Peter Mirtschink, Michele Solimena, Nicole Toepfner, Sebastian Zeissig, Manuel Gado, Irene Alma Abela, Fe
    The Lancet Diabetes & Endocrinology.2023; 11(9): 675.     CrossRef
Original Article
COVID-19
Independent Impact of Diabetes on the Severity of Coronavirus Disease 2019 in 5,307 Patients in South Korea: A Nationwide Cohort Study
Sun Joon Moon, Eun-Jung Rhee, Jin-Hyung Jung, Kyung-Do Han, Sung-Rae Kim, Won-Young Lee, Kun-Ho Yoon
Diabetes Metab J. 2020;44(5):737-746.   Published online October 21, 2020
DOI: https://doi.org/10.4093/dmj.2020.0141
  • 10,608 View
  • 201 Download
  • 24 Web of Science
  • 23 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Inconsistent results have been observed regarding the independent effect of diabetes on the severity of coronavirus disease 2019 (COVID-19). We conducted a nationwide population-based cohort study to evaluate the relationship between diabetes and COVID-19 severity in South Korea.
Methods
Patients with laboratory-confirmed COVID-19 aged ≥30 years were enrolled and medical claims data were obtained from the Korean Health Insurance Review and Assessment Service. Hospitalization, oxygen treatment, ventilator application, and mortality were assessed as severity outcomes. Multivariate logistic regression analyses were performed after adjusting for age, sex, and comorbidities.
Results
Of 5,307 COVID-19 patients, the mean age was 56.0±14.4 years, 2,043 (38.5%) were male, and 770 (14.5%) had diabetes. The number of patients who were hospitalized, who received oxygen, who required ventilator support, and who died was 4,986 (94.0%), 884 (16.7%), 121 (2.3%), and 211 (4.0%), respectively. The proportion of patients with diabetes in the abovementioned outcome groups was 14.7%, 28.1%, 41.3%, 44.6%, showing an increasing trend according to outcome severity. In multivariate analyses, diabetes was associated with worse outcomes, with an adjusted odds ratio (aOR) of 1.349 (95% confidence interval [CI], 1.099 to 1.656; P=0.004) for oxygen treatment, an aOR of 1.930 (95% CI, 1.276 to 2.915; P<0.001) for ventilator use, and an aOR of 2.659 (95% CI, 1.896 to 3.729; P<0.001) for mortality.
Conclusion
Diabetes was associated with worse clinical outcomes in Korean patients with COVID-19, independent of other comorbidities. Therefore, patients with diabetes and COVID-19 should be treated with caution.

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Diabetes Metab J : Diabetes & Metabolism Journal