Diabetes & Metabolism Journal

Original Articles

Complications
Association of Muscle Mass Loss with Diabetes Development in Liver Transplantation Recipients: Sejeong Lee, Minyoung Lee, Young-Eun Kim, Hae Kyung Kim, Sook Jung Lee, Jiwon Kim, Yurim Yang, Chul Hoon Kim, Hyangkyu Lee, Dong Jin Joo, Myoung Soo Kim, Eun Seok Kang; Diabetes Metab J. 2024;48(1):146-156. Published online January 3, 2024; DOI: https://doi.org/10.4093/dmj.2022.0100

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Abstract PDF Supplementary Material PubReader ePub: Background
Post-transplant diabetes mellitus (PTDM) is one of the most significant complications after transplantation. Patients with end-stage liver diseases requiring transplantation are prone to sarcopenia, but the association between sarcopenia and PTDM remains to be elucidated. We aimed to investigate the effect of postoperative muscle mass loss on PTDM development.
Methods
A total of 500 patients who underwent liver transplantation at a tertiary care hospital between 2005 and 2020 were included. Skeletal muscle area at the level of the L3–L5 vertebrae was measured using computed tomography scans performed before and 1 year after the transplantation. The associations between the change in the muscle area after the transplantation and the incidence of PTDM was investigated using a Cox proportional hazard model.
Results
During the follow-up period (median, 4.9 years), PTDM occurred in 165 patients (33%). The muscle mass loss was greater in patients who developed PTDM than in those without PTDM. Muscle depletion significantly increased risk of developing PTDM after adjustment for other confounding factors (hazard ratio, 1.50; 95% confidence interval, 1.23 to 1.84; P=0.001). Of the 357 subjects who had muscle mass loss, 124 (34.7%) developed PTDM, whereas of the 143 patients in the muscle mass maintenance group, 41 (28.7%) developed PTDM. The cumulative incidence of PTDM was significantly higher in patients with muscle loss than in patients without muscle loss (P=0.034).
Conclusion
Muscle depletion after liver transplantation is associated with increased risk of PTDM development.

Lifestyle
Clinical Effects of a Home Care Pilot Program for Patients with Type 1 Diabetes Mellitus: A Retrospective Cohort Study: Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang; Diabetes Metab J. 2023;47(5):693-702. Published online June 22, 2023; DOI: https://doi.org/10.4093/dmj.2022.0170

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Background
Given the importance of continuous self-care for people with type 1 diabetes mellitus (T1DM), the Ministry of Health and Welfare of Korea launched a pilot program for chronic disease management. Herein, we applied a home care pilot program to people with T1DM to investigate its effects.
Methods
This retrospective cohort study was conducted at a single tertiary hospital (January 2019 to October 2021). A multidisciplinary team comprising doctors, nurses, and clinical nutritionists provided specialized education and periodically assessed patients’ health status through phone calls or text messages. A linear mixed model adjusting for age, sex, and body mass index was used to analyze the glycemic control changes before and after implementing the program between the intervention and control groups.
Results
Among 408 people with T1DM, 196 were enrolled in the intervention group and 212 in the control group. The reduction in glycosylated hemoglobin (HbA1c) after the program was significantly greater in the intervention group than in the control group (estimated marginal mean, –0.57% vs. –0.23%, P=0.008); the same trend was confirmed for glycoalbumin (GA) (–3.2% vs. –0.39%, P<0.001). More patients achieved the target values of HbA1c (<7.0%) and GA (<20%) in the intervention group than in the control group at the 9-month follow-up (34.5% vs. 19.6% and 46.7% vs. 28.0%, respectively).
Conclusion
The home care program for T1DM was clinically effective in improving glycemic control and may provide an efficient care option for people with T1DM, and positive outcomes are expected to expand the program to include more patients.

Citations

Citations to this article as recorded by

Glycemic outcomes and patient satisfaction and self-management improves in transition from standard to virtual multidisciplinary care
Noga Minsky, Liat Arnon Klug, Tatyana Kolobov, Elizabeth Tarshish, Yuval Shalev Many, Aviva Lipsitz, Amna Jabarin, Nicole Morozov, Dania Halperin, Moshe Shalom, Rachel Nissanholtz-Gannot, Genya Aharon-Hananel, Amir Tirosh, Orly Tamir
Diabetes Research and Clinical Practice.2024; 209: 111587. CrossRef

Drug/Regimen
Comparison of Efficacy of Glimepiride, Alogliptin, and Alogliptin-Pioglitazone as the Initial Periods of Therapy in Patients with Poorly Controlled Type 2 Diabetes Mellitus: An Open-Label, Multicenter, Randomized, Controlled Study: Hae Jin Kim, In Kyung Jeong, Kyu Yeon Hur, Soo-Kyung Kim, Jung Hyun Noh, Sung Wan Chun, Eun Seok Kang, Eun-Jung Rhee, Sung Hee Choi; Diabetes Metab J. 2022;46(5):689-700. Published online March 17, 2022; DOI: https://doi.org/10.4093/dmj.2021.0183

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Background
The choice of an optimal oral hypoglycemic agent in the initial treatment periods for type 2 diabetes mellitus (T2DM) patients remains difficult and deliberate. We compared the efficacy and safety of glimepiride (GLIM), alogliptin (ALO), and alogliptin-pioglitazone (ALO-PIO) in poorly controlled T2DM patients with drug-naïve or metformin failure.
Methods
In this three-arm, multicenter, open-label, randomized, controlled trial, poorly controlled T2DM patients were randomized to receive GLIM (n=35), ALO (n=31), or ALO-PIO (n=33) therapy for 24 weeks. The primary endpoint was change in the mean glycosylated hemoglobin (HbA1c) levels at week 24 from baseline. Secondary endpoints were changes in HbA1c level at week 12 from baseline, fasting plasma glucose (FPG) levels, lipid profiles at weeks 12 and 24, and parameters of glycemic variability, assessed by continuous glucose monitoring for 24 weeks.
Results
At weeks 12 and 24, the ALO-PIO group showed significant reduction in HbA1c levels compared to the ALO group (–0.96%±0.17% vs. –0.37%±0.17% at week 12; –1.13%±0.19% vs. –0.18%±0.2% at week 24). The ALO-PIO therapy caused greater reduction in FPG levels and significant increase in high-density lipoprotein cholesterol levels at weeks 12 and 24 than the ALO therapy. Compared to low-dose GLIM therapy, ALO-PIO therapy showed greater improvement in glycemic variability. The adverse events were similar among the three arms.
Conclusion
ALO-PIO combination therapy during the early period exerts better glycemic control than ALO monotherapy and excellency in glycemic variability than low-dose sulfonylurea therapy in uncontrolled, drug-naïve or metformin failed T2DM patients.

Citations

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A Comprehensive Review on Weight Loss Associated with Anti-Diabetic Medications
Fatma Haddad, Ghadeer Dokmak, Maryam Bader, Rafik Karaman
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Role of Dipeptidyl Peptidase 4 Inhibitors in Antidiabetic Treatment
Ruili Yin, Yongsong Xu, Xin Wang, Longyan Yang, Dong Zhao
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Basic Research
DA-1241, a Novel GPR119 Agonist, Improves Hyperglycaemia by Inhibiting Hepatic Gluconeogenesis and Enhancing Insulin Secretion in Diabetic Mice: Youjin Kim, Si Woo Lee, Hyejin Wang, Ryeong-Hyeon Kim, Hyun Ki Park, Hangkyu Lee, Eun Seok Kang; Diabetes Metab J. 2022;46(2):337-348. Published online January 21, 2022; DOI: https://doi.org/10.4093/dmj.2021.0056

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Background
We investigated the antidiabetic effects of DA-1241, a novel G protein-coupled receptor (GPR) 119 agonist, in vitro and in vivo.
Methods
DA-1241 was administrated to high-fat diet (HFD)-fed C57BL/6J mice for 12 weeks after hyperglycaemia developed. Oral/intraperitoneal glucose tolerance test and insulin tolerance test were performed. Serum insulin and glucagon-like peptide-1 (GLP-1) levels were measured during oral glucose tolerance test. Insulinoma cell line (INS-1E) cells and mouse islets were used to find whether DA-1241 directly stimulate insulin secretion in beta cell. HepG2 cells were used to evaluate the gluconeogenesis and autophagic process. Autophagic flux was evaluated by transfecting microtubule-associated protein 1 light chain 3-fused to green fluorescent protein and monomeric red fluorescent (mRFP-GFP-LC3) expression vector to HepG2 cells.
Results
Although DA-1241 treatment did not affect body weight gain and amount of food intake, fasting blood glucose level decreased along with increase in GLP-1 level. DA-1241 improved only oral glucose tolerance test and showed no effect in intraperitoneal glucose tolerance test. No significant effect was observed in insulin tolerance test. DA-1241 did not increase insulin secretion in INS-1E cell and mouse islets. DA-1241 reduced triglyceride content in the liver thereby improved fatty liver. Additionally, DA-1241 reduced gluconeogenic enzyme expression in HepG2 cells and mouse liver. DA-1241 reduced autophagic flow in HepG2 cells.
Conclusion
These findings suggested that DA-1241 augmented glucose-dependent insulin release via stimulation of GLP-1 secretion, and reduced hepatic gluconeogenesis, which might be associated with autophagic blockage, leading to improved glycaemic control.

Citations

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GPR119 agonists for type 2 diabetes: past failures and future hopes for preclinical and early phase candidates
Deanne H Hryciw, Rhiannon K Patten, Raymond J Rodgers, Joseph Proietto, Dana S Hutchinson, Andrew J McAinch
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European Journal of Medicinal Chemistry.2023; 258: 115584. CrossRef
Increased expression of sodium-glucose cotransporter 2 and O-GlcNAcylation in hepatocytes drives non-alcoholic steatohepatitis
Hye Jin Chun, Eun Ran Kim, Minyoung Lee, Da Hyun Choi, Soo Hyun Kim, Eugene Shin, Jin-Hong Kim, Jin Won Cho, Dai Hoon Han, Bong-Soo Cha, Yong-ho Lee
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GPR119 activation by DA-1241 alleviates hepatic and systemic inflammation in MASH mice through inhibition of NFκB signaling
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Characteristics of the Latest Therapeutic Agent for Diabetes
Nuri Yun
The Journal of Korean Diabetes.2023; 24(3): 148. CrossRef
DA-1241, a Novel GPR119 Agonist, Improves Hyperglycaemia by Inhibiting Hepatic Gluconeogenesis and Enhancing Insulin Secretion in Diabetic Mice
Youjin Kim, Si Woo Lee, Hyejin Wang, Ryeong-Hyeon Kim, Hyun Ki Park, Hangkyu Lee, Eun Seok Kang
Diabetes & Metabolism Journal.2022; 46(2): 337. CrossRef
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Complications
Renal Tubular Damage Marker, Urinary N-acetyl-β-D-Glucosaminidase, as a Predictive Marker of Hepatic Fibrosis in Type 2 Diabetes Mellitus: Hae Kyung Kim, Minyoung Lee, Yong-ho Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee; Diabetes Metab J. 2022;46(1):104-116. Published online July 13, 2021; DOI: https://doi.org/10.4093/dmj.2020.0273

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Background
Non-alcoholic steatohepatitis is closely associated with the progression of diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM). We investigated whether urinary N-acetyl-β-D-glucosaminidase (u-NAG), an early renal tubular damage biomarker in DKD, could be related to the degree of hepatic fibrosis in patients with T2DM.
Methods
A total of 300 patients with T2DM were enrolled in this study. Hepatic steatosis and fibrosis were determined using transient elastography. The levels of urinary biomarkers, including u-NAG, albumin, protein, and creatinine, and glucometabolic parameters were measured.
Results
Based on the median value of the u-NAG to creatinine ratio (u-NCR), subjects were divided into low and high u-NCR groups. The high u-NCR group showed a significantly longer duration of diabetes, worsened hyperglycemia, and a more enhanced hepatic fibrosis index. A higher u-NCR was associated with a greater odds ratio for the risk of higher hepatic fibrosis stage (F2: odds ratio, 1.99; 95% confidence interval [CI], 1.04 to 3.82). Also, u-NCR was an independent predictive marker for more advanced hepatic fibrosis, even after adjusting for several confounding factors (β=1.58, P<0.01).
Conclusion
The elevation of u-NAG was independently associated with a higher degree of hepatic fibrosis in patients with T2DM. Considering the common metabolic milieu of renal and hepatic fibrosis in T2DM, the potential use of u-NAG as an effective urinary biomarker reflecting hepatic fibrosis in T2DM needs to be validated in the future.

Citations

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Xiao Tong Teong, Kai Liu, Andrew D. Vincent, Julien Bensalem, Bo Liu, Kathryn J. Hattersley, Lijun Zhao, Christine Feinle-Bisset, Timothy J. Sargeant, Gary A. Wittert, Amy T. Hutchison, Leonie K. Heilbronn
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Basic Research
Ipragliflozin, an SGLT2 Inhibitor, Ameliorates High-Fat Diet-Induced Metabolic Changes by Upregulating Energy Expenditure through Activation of the AMPK/ SIRT1 Pathway: Ji-Yeon Lee, Minyoung Lee, Ji Young Lee, Jaehyun Bae, Eugene Shin, Yong-ho Lee, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha; Diabetes Metab J. 2021;45(6):921-932. Published online February 22, 2021; DOI: https://doi.org/10.4093/dmj.2020.0187

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Background
Sodium-glucose co-transporter 2 (SGLT2) inhibitors are a new class of antidiabetic drugs that exhibit multiple extraglycemic effects. However, there are conflicting results regarding the effects of SGLT2 inhibition on energy expenditure and thermogenesis. Therefore, we investigated the effect of ipragliflozin (a selective SGLT2 inhibitor) on energy metabolism.
Methods
Six-week-old male 129S6/Sv mice with a high propensity for adipose tissue browning were randomly assigned to three groups: normal chow control, 60% high-fat diet (HFD)-fed control, and 60% HFD-fed ipragliflozin-treated groups. The administration of diet and medication was continued for 16 weeks.
Results
The HFD-fed mice became obese and developed hepatic steatosis and adipose tissue hypertrophy, but their random glucose levels were within the normal ranges; these features are similar to the metabolic features of a prediabetic condition. Ipragliflozin treatment markedly attenuated HFD-induced hepatic steatosis and reduced the size of hypertrophied adipocytes to that of smaller adipocytes. In the ipragliflozin treatment group, uncoupling protein 1 (Ucp1) and other thermogenesis-related genes were significantly upregulated in the visceral and subcutaneous adipose tissue, and fatty acid oxidation was increased in the brown adipose tissue. These effects were associated with a significant reduction in the insulin-to-glucagon ratio and the activation of the AMP-activated protein kinase (AMPK)/sirtuin 1 (SIRT1) pathway in the liver and adipose tissue.
Conclusion
SGLT2 inhibition by ipragliflozin showed beneficial metabolic effects in 129S6/Sv mice with HFD-induced obesity that mimics prediabetic conditions. Our data suggest that SGLT2 inhibitors, through their upregulation of energy expenditure, may have therapeutic potential in prediabetic obesity.

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Panagiotis Theofilis, Marios Sagris, Evangelos Oikonomou, Alexios S. Antonopoulos, Gerasimos Siasos, Kostas Tsioufis, Dimitris Tousoulis
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Review

Clinical Care/Education
2019 Clinical Practice Guidelines for Type 2 Diabetes Mellitus in Korea: Mee Kyoung Kim, Seung-Hyun Ko, Bo-Yeon Kim, Eun Seok Kang, Junghyun Noh, Soo-Kyung Kim, Seok-O Park, Kyu Yeon Hur, Suk Chon, Min Kyong Moon, Nan-Hee Kim, Sang Yong Kim, Sang Youl Rhee, Kang-Woo Lee, Jae Hyeon Kim, Eun-Jung Rhee, SungWan Chun, Sung Hoon Yu, Dae Jung Kim, Hyuk-Sang Kwon, Kyong Soo Park; Diabetes Metab J. 2019;43(4):398-406. Published online August 20, 2019; DOI: https://doi.org/10.4093/dmj.2019.0137

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Abstract PDF PubReader

The Committee of Clinical Practice Guidelines of the Korean Diabetes Association revised and updated the 6th Clinical Practice Guidelines in 2019. Targets of glycemic, blood pressure, and lipid control in type 2 diabetes mellitus (T2DM) were updated. The obese and overweight population is increasing steadily in Korea, and half of the Koreans with diabetes are obese. Evidence-based recommendations for weight-loss therapy for obesity management as treatment for hyperglycemia in T2DM were provided. In addition, evidence from large clinical studies assessing cardiovascular outcomes following the use of sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide 1 receptor agonists in patients with T2DM were incorporated into the recommendations.

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Diabetes & Metabolism Journal.2023; 47(1): 1. CrossRef
Cardiovascular Outcomes according to Comorbidities and Low-Density Lipoprotein Cholesterol in Korean People with Type 2 Diabetes Mellitus
Min Kyong Moon, Junghyun Noh, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun, Bum Joon Kim, Kyung-Do Han, In-Kyung Jeong
Diabetes & Metabolism Journal.2023; 47(1): 45. CrossRef
Impaired ketogenesis is associated with metabolic-associated fatty liver disease in subjects with type 2 diabetes
Sejeong Lee, Jaehyun Bae, Doo Ri Jo, Minyoung Lee, Yong-ho Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee
Frontiers in Endocrinology.2023;[Epub] CrossRef
Identifying the Associations of Nightly Fasting Duration and Meal Timing with Type 2 Diabetes Mellitus Using Data from the 2016–2020 Korea National Health and Nutrition Survey
Junkyung Kwak, Kyeong-A Jang, Haeng-Ran Kim, Min-Sook Kang, Kyung Won Lee, Dayeon Shin
Nutrients.2023; 15(6): 1385. CrossRef
Development and Adaptability of Smartphone-based Dietary Coaching Program for Patients Undergoing Diabetes and Prediabetes with Continuous Glucose Monitoring Device
Myoung Soo Kim, Jung Mi Ryu, Minkyeong Kang, Jiwon Park, Yeh Chan Ahn, Yang Seok Kim
Journal of Health Informatics and Statistics.2023; 48(1): 36. CrossRef
Glucose Control in Korean Patients with Type 2 Diabetes Mellitus according to Body Mass Index
Ye-lim Shin, Heesoh Yoo, Joo Young Hong, Jooeun Kim, Kyung-do Han, Kyu-Na Lee, Yang-Hyun Kim
Journal of Obesity & Metabolic Syndrome.2023; 32(1): 55. CrossRef
Diabetes severity is strongly associated with the risk of active tuberculosis in people with type 2 diabetes: a nationwide cohort study with a 6-year follow-up
Ji Young Kang, Kyungdo Han, Seung-Hwan Lee, Mee Kyoung Kim
Respiratory Research.2023;[Epub] CrossRef
Developing a Classification Algorithm for Prediabetes Risk Detection From Home Care Nursing Notes
Eunjoo Jeon, Aeri Kim, Jisoo Lee, Hyunsook Heo, Hana Lee, Kyungmi Woo
CIN: Computers, Informatics, Nursing.2023; 41(7): 539. CrossRef
Predictive value of the Framingham steatosis index for cardiovascular risk: a nationwide population-based cohort study
Yun Kyung Cho, Myungjin Kim, Ye-Jee Kim, Chang Hee Jung, Woo Je Lee, Joong-Yeol Park
Frontiers in Cardiovascular Medicine.2023;[Epub] CrossRef
Association of low muscle strength with metabolic dysfunction-associated fatty liver disease: A nationwide study
Gyu Bae Lee, Youn Huh, Sang Hyun Lee, Byoungduck Han, Yang-Hyun Kim, Do-Hoon Kim, Seon Mee Kim, Youn Seon Choi, Kyung Hwan Cho, Ga Eun Nam
World Journal of Gastroenterology.2023; 29(45): 5962. CrossRef
Low fasting glucose‐to‐estimated average glucose ratio was associated with superior response to insulin degludec/aspart compared with basal insulin in patients with type 2 diabetes
Han Na Jang, Ye Seul Yang, Tae Jung Oh, Bo Kyung Koo, Seong Ok Lee, Kyong Soo Park, Hak Chul Jang, Hye Seung Jung
Journal of Diabetes Investigation.2022; 13(1): 85. CrossRef
Relationship between the early initiation of insulin treatment and diabetic complications in patients newly diagnosed with type 2 diabetes mellitus in Korea: A nationwide cohort study
Ha‐Lim Jeon, Won Kim, Bongseong Kim, Ju‐Young Shin
Journal of Diabetes Investigation.2022; 13(5): 830. CrossRef
Relationship of the Triglyceride-Glucose Index with Subclinical White Matter Hypersensitivities of Presumed Vascular Origin Among Community-Dwelling Koreans
Dong-Hyuk Jung, Byoungjin Park, Yong-Jae Lee
International Journal of General Medicine.2022; Volume 15: 603. CrossRef
Prevalence of vitamin B12 deficiency and its association with metformin-treated type 2 diabetic patients: A cross sectional study
Shaimaa B. Almatrafi, El-Sayed H. Bakr, Asem A. Almatrafi, Manal M. Altayeb
Human Nutrition & Metabolism.2022; 27: 200138. CrossRef
Retinal Vascular Caliber Changes in Early Type 2 Diabetic Patients without Retinopathy
Jeong Woo Park, Jeong Hun Bae, Su Jeong Song, Joon Mo Kim
Journal of the Korean Ophthalmological Society.2022; 63(1): 20. CrossRef
Renal Tubular Damage Marker, Urinary N-acetyl-β-D-Glucosaminidase, as a Predictive Marker of Hepatic Fibrosis in Type 2 Diabetes Mellitus
Hae Kyung Kim, Minyoung Lee, Yong-ho Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee
Diabetes & Metabolism Journal.2022; 46(1): 104. CrossRef
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 & Metabolism Journal.2022; 46(1): 71. CrossRef
Sodium-Glucose Cotransporter-2 Inhibitor-Related Diabetic Ketoacidosis: Accuracy Verification of Operational Definition
Dong Yoon Kang, Hyunah Kim, SooJeong Ko, HyungMin Kim, Jiwon Shinn, Min-Gyu Kang, Sun-ju Byeon, Jeong-Hee Choi, Soo-Yong Shin, Hun-Sung Kim
Journal of Korean Medical Science.2022;[Epub] CrossRef
Relationship between the dynamics of non-alcoholic fatty liver disease and incident diabetes mellitus
Ji Eun Han, Han-Bit Shin, Young Hwan Ahn, Hyo Jung Cho, Jae Youn Cheong, Bumhee Park, Soon Sun Kim
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Position of Sulfonylureas in the Current ERA: Review of National and International Guidelines
Viswanathan Mohan, Banshi Saboo, Jabbar Khader, Kirtikumar D Modi, Sushil Jindal, Subhash Kumar Wangnoo, Sugumaran Amarnath
Clinical Medicine Insights: Endocrinology and Diabetes.2022; 15: 117955142210746. CrossRef
Real-world comparison of mono and dual combination therapies of metformin, sulfonylurea, and dipeptidyl peptidase-4 inhibitors using a common data model
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Medicine.2022; 101(8): e28823. CrossRef
Atherogenic Index of Plasma and Its Association with Risk Factors of Coronary Artery Disease and Nutrient Intake in Korean Adult Men: The 2013–2014 KNHANES
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Nutrients.2022; 14(5): 1071. CrossRef
Sodium–glucose cotransporter 2 inhibitors do not increase the risk of fractures in real‐world clinical practice in Korea: A national observational cohort study
Kyoung Hwa Ha, Dae Jung Kim, Yong Jun Choi
Journal of Diabetes Investigation.2022; 13(6): 986. CrossRef
Performance of Diabetes and Kidney Disease Screening Scores in Contemporary United States and Korean Populations
Liela Meng, Keun-Sang Kwon, Dae Jung Kim, Yong-ho Lee, Jeehyoung Kim, Abhijit V. Kshirsagar, Heejung Bang
Diabetes & Metabolism Journal.2022; 46(2): 273. CrossRef
Integrated metagenomics and metabolomics analysis illustrates the systemic impact of the gut microbiota on host metabolism after bariatric surgery
Yeyoung Han, Gihyeon Kim, Eunyong Ahn, Sunhee Jung, Youngae Jung, Yunjae Kim, Eunyoung Ha, Yoonseok Heo, Do Hyun Ryu, Hansoo Park, Geum‐Sook Hwang
Diabetes, Obesity and Metabolism.2022; 24(7): 1224. CrossRef
The use of complex marketing analysis and QSPR methodology for the necessity of a drug development grounding for the treatment of type 2 diabetes mellitus with increased bioavailability
Inna Kovalevska, Olena Ruban, Alina Volkova, Alla Kotvitska, Alina Cherkashyna
Pharmacia.2022; 69(2): 303. CrossRef
Comparative Study of Ex Vivo Antiplatelet Activity of Aspirin and Cilostazol in Patients with Diabetes and High Risk of Cardiovascular Disease
Sangmo Hong, Woo Je Lee, Cheol-Young Park
Endocrinology and Metabolism.2022; 37(2): 233. CrossRef
Long-term effect of the eradication of Helicobacter pylori on the hemoglobin A1c in type 2 diabetes or prediabetes patients
Won Seok Kim, Yonghoon Choi, Nayoung Kim, Seon Hee Lim, Gitark Noh, Ki Wook Kim, Jaehyung Park, Hyeongho Jo, Hyuk Yoon, Cheol Min Shin, Young Soo Park, Dong Ho Lee
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Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study
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Understanding and Utilizing Claim Data from the Korean National Health Insurance Service (NHIS) and Health Insurance Review & Assessment (HIRA) Database for Research
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Association of the atherogenic index of plasma with cardiovascular risk beyond the traditional risk factors: a nationwide population-based cohort study
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Current Status of Low-Density Lipoprotein Cholesterol Target Achievement in Patients with Type 2 Diabetes Mellitus in Korea Compared with Recent Guidelines
Soo Jin Yun, In-Kyung Jeong, Jin-Hye Cha, Juneyoung Lee, Ho Chan Cho, Sung Hee Choi, SungWan Chun, Hyun Jeong Jeon, Ho-Cheol Kang, Sang Soo Kim, Seung-Hyun Ko, Gwanpyo Koh, Su Kyoung Kwon, Jae Hyuk Lee, Min Kyong Moon, Junghyun Noh, Cheol-Young Park, Sung
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Sodium Glucose Cotransporter-2 Inhibitors as an Add-on Therapy to Metformin Plus Dipeptidyl Peptidase-4 Inhibitor in Patients with Type 2 Diabetes
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Implications of the heterogeneity between guideline recommendations for the use of low dose aspirin in primary prevention of cardiovascular disease
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Factors Influencing the Utilization of Diabetes Complication Tests Under the COVID-19 Pandemic: Machine Learning Approach
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Effects of exercise initiation and smoking cessation after new-onset type 2 diabetes mellitus on risk of mortality and cardiovascular outcomes
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Improvement in Age at Mortality and Changes in Causes of Death in the Population with Diabetes: An Analysis of Data from the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
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Endocrinology and Metabolism.2022; 37(3): 466. CrossRef
Analysis of Continuity of Care and Its Related Factors in Diabetic Patients: A Cross-Sectional Study
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Development of Various Diabetes Prediction Models Using Machine Learning Techniques
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Diabetes & Metabolism Journal.2022; 46(4): 650. CrossRef
A causal relationship between alcohol intake and type 2 diabetes mellitus: A two-sample Mendelian randomization study
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Early glycaemic variability increases 28-day mortality and prolongs intensive care unit stay in critically ill patients with pneumonia
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Association of the Estimated Pulse Wave Velocity with Cardio-Vascular Disease Outcomes among Men and Women Aged 40–69 Years in the Korean Population: An 18-Year Follow-Up Report on the Ansung–Ansan Cohort in the Korean Genome Environment Study
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Journal of Personalized Medicine.2022; 12(10): 1611. CrossRef
Perfluorinated compounds in adults and their association with fasting glucose and incident diabetes: a prospective cohort study
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Environmental Health.2022;[Epub] CrossRef
Differences in health behavior and nutrient intake status between diabetes-aware and unaware Korean adults based on the Korea national health and nutrition examination survey 2016–18 data: A cross-sectional study
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Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
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Journal of Personalized Medicine.2022; 12(11): 1899. CrossRef
Does Pitavastatin Therapy for Patients with Type 2 Diabetes and Dyslipidemia Affect Serum Adiponectin Levels and Insulin Sensitivity?
Jeongmin Lee, Min-Hee Kim, Jung-Min Lee, Sang-Ah Chang
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Comparative Efficacy of Lobeglitazone Versus Pioglitazone on Albuminuria in Patients with Type 2 Diabetes Mellitus
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Efficacy and Safety of Once Weekly Dulaglutide in East Asian Patients with Type 2 Diabetes: Subgroup Analysis by Potential Influential Factors
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Early combination versus initial metformin monotherapy in the management of newly diagnosed type 2 diabetes: AnEast Asianperspective
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Effectiveness and safety of sodium‐glucose co‐transporter‐2 inhibitors compared with dipeptidyl peptidase‐4 inhibitors in older adults with type 2 diabetes: A nationwide population‐based study
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Glucodynamics and glucocracy in type 2 diabetes mellitus: clinical evidence and practice-based opinion on modern sulfonylurea use, from an International Expert Group (South Asia, Middle East & Africa) via modified Delphi method
Sanjay Kalra, Das A. K., Fariduddin Md., Shaikh K., Shah P., Rehim A. A., John M., Shaikh S., Orabi A., Saraswati M. R., Shahjada Selim, Baruah M. P., K. K. Gangopadhyay, Langi Y. A., Nair T., Dhanwal D., Thapa S. D., Deshmukh V., D. Dutta, Khalfan H., Ma
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The association between lipoprotein (a) and carotid atherosclerosis in patients with type 2 diabetes without pre-existing cardiovascular disease: A cross-sectional study
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Diabetes Research and Clinical Practice.2021; 171: 108622. CrossRef
Glycaemic control with add‐on thiazolidinedione or a sodium‐glucose co‐transporter‐2 inhibitor in patients with type 2 diabetes after the failure of an oral triple antidiabetic regimen: A 24‐week, randomized controlled trial
Jaehyun Bae, Ji Hye Huh, Minyoung Lee, Yong‐Ho Lee, Byung‐Wan Lee
Diabetes, Obesity and Metabolism.2021; 23(2): 609. CrossRef
Effect of Tai Chi on Quality of Life, Body Mass Index, and Waist-Hip Ratio in Patients With Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis
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Severe hypoglycemia as a preventable risk factor for cardiovascular disease in patients with type 2 diabetes mellitus
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The Korean Journal of Internal Medicine.2021; 36(2): 263. CrossRef
Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Ja
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Estimation of sodium‐glucose cotransporter 2 inhibitor–related genital and urinary tract infections via electronic medical record–based common data model
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Journal of Clinical Pharmacy and Therapeutics.2021; 46(4): 975. CrossRef
Pharmacokinetic and Pharmacodynamic Comparison of Two Formulations of a Fixed-Dose Combination of Gemigliptin/Rosuvastatin 50/20 mg: A Randomized, Open-Label, Single-Dose, Two-Way Crossover Study
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Drug Design, Development and Therapy.2021; Volume 15: 651. CrossRef
Severe hypoglycemia and the risk of end stage renal disease in type 2 diabetes
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Scientific Reports.2021;[Epub] CrossRef
Long-term HbA1c variability and the development and progression of diabetic retinopathy in subjects with type 2 diabetes
Han Ul Kim, Sung Pyo Park, Yong-Kyu Kim
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Impaired fasting glucose levels in overweight or obese subjects for screening of type 2 diabetes in Korea
Jin-Hee Lee, Suk Chon, Seon-Ah Cha, Sun-Young Lim, Kook-Rye Kim, Jae-Seung Yun, Sang Youl Rhee, Kun-Ho Yoon, Yu-Bae Ahn, Jeong-Taek Woo, Seung-Hyun Ko
The Korean Journal of Internal Medicine.2021; 36(2): 382. CrossRef
Simple Sugar Intake in Diabetics and Non-Diabetic Patients Who Visit Primary Care Clinic
Seo Young Park, Geun Bae Moon, Young Sik Kim, Seung Hee Kim
Korean Journal of Family Practice.2021; 11(1): 29. CrossRef
Effect of Teneligliptin versus Sulfonylurea on Major Adverse Cardiovascular Outcomes in People with Type 2 Diabetes Mellitus: A Real-World Study in Korea
Da Hea Seo, Kyoung Hwa Ha, So Hun Kim, Dae Jung Kim
Endocrinology and Metabolism.2021; 36(1): 70. CrossRef
Best Achievements in Clinical Medicine in Diabetes and Dyslipidemia in 2020
Eun-Jung Rhee, Mee-Kyung Kim, Won-Young Lee
Endocrinology and Metabolism.2021; 36(1): 41. CrossRef
Factors Associated with Poor Glycemic Control Amongst Rural Residents with Diabetes in Korea
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Healthcare.2021; 9(4): 391. CrossRef
Diabetes and Stroke
Junghyun Noh
The Journal of Korean Diabetes.2021; 22(1): 26. CrossRef
Epidemiology of cardiovascular disease and its risk factors in Korea
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Global Health & Medicine.2021; 3(3): 134. CrossRef
Cumulative exposure to impaired fasting glucose and future risk of type 2 diabetes mellitus
Mee Kyoung Kim, Kyungdo Han, Eun Sil Koh, Oak-Kee Hong, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
Diabetes Research and Clinical Practice.2021; 175: 108799. CrossRef
No Relevant Pharmacokinetic Drug–Drug Interaction Between the Sodium-Glucose Co-Transporter-2 Inhibitor Empagliflozin and Lobeglitazone, a Peroxisome Proliferator-Activated Receptor-γ Agonist, in Healthy Subjects
Yu Kyong Kim, Jun Gi Hwang, Min Kyu Park
Drug Design, Development and Therapy.2021; Volume 15: 1725. CrossRef
Comparative Renal Effects of Dipeptidyl Peptidase-4 Inhibitors and Sodium-Glucose Cotransporter 2 Inhibitors on Individual Outcomes in Patients with Type 2 Diabetes: A Systematic Review and Network Meta-Analysis
Jae Hyun Bae, Eun-Gee Park, Sunhee Kim, Sin Gon Kim, Seokyung Hahn, Nam Hoon Kim
Endocrinology and Metabolism.2021; 36(2): 388. CrossRef
The Association Between Second-Line Oral Antihyperglycemic Medication on Types of Dementia in Type 2 Diabetes: A Nationwide Real-World Longitudinal Study
Won Jun Kim, Jung Hyun Noh, Kyungdo Han, Cheol-Young Park
Journal of Alzheimer's Disease.2021; 81(3): 1263. CrossRef
Personalized Type 2 Diabetes Management Using a Mobile Application Integrated with Electronic Medical Records: An Ongoing Randomized Controlled Trial
Eun-Young Lee, Jae-Seung Yun, Seon-Ah Cha, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Seung-Hyun Ko
International Journal of Environmental Research and Public Health.2021; 18(10): 5300. CrossRef
Cerium Oxide Nanoparticle-Containing Colorimetric Contact Lenses for Noninvasively Monitoring Human Tear Glucose
Sijin Park, Juil Hwang, Hee-Jae Jeon, Woo Ri Bae, In-Kyung Jeong, Tae Gi Kim, Jaheon Kang, Young-Geun Han, Euiheon Chung, Dong Yun Lee
ACS Applied Nano Materials.2021; 4(5): 5198. CrossRef
Low nutritional status links to the prevalence of pre-metabolic syndrome and its cluster in metabolically high-risk Korean adults
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Medicine.2021; 100(20): e25905. CrossRef
Dynamics of Serum Retinol and Alpha-Tocopherol Levels According to Non-Alcoholic Fatty Liver Disease Status
Dongsub Jeon, Minkook Son, Juhyun Shim
Nutrients.2021; 13(5): 1720. CrossRef
Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model: 4–7th Korea National Health and Nutrition Examination Survey
Hyerim Kim, Dong Hoon Lim, Yoona Kim
International Journal of Environmental Research and Public Health.2021; 18(11): 5597. CrossRef
Comparison of insulin glargine 300 U/mL versus glargine 100 U/mL on glycemic control and hypoglycemic events in East Asian patients with type 2 diabetes: A Patient-level meta-analysis of phase 3 studies
Linong Ji, Yan Bi, Shandong Ye, Yun Huang, Xia Zhang, Shuhua Shang, Nan Cui, Huiqiu Yin, Minlu Zhang
Diabetes Research and Clinical Practice.2021; 176: 108848. CrossRef
Modifiable Risk Factors for Cardiovascular Disease in Korea and Japan
Ahmed Arafa, Hyeok-Hee Lee, Ehab S. Eshak, Kokoro Shirai, Keyang Liu, Jiaqi Li, Naharin Sultana Anni, Sun Young Shim, Hyeon Chang Kim, Hiroyasu Iso
Korean Circulation Journal.2021; 51(8): 643. CrossRef
Sodium-Glucose Cotransporter-2 Inhibitors Ameliorate Liver Enzyme Abnormalities in Korean Patients With Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease
Won Euh, Soo Lim, Jin-Wook Kim
Frontiers in Endocrinology.2021;[Epub] CrossRef
Effect of serum isoniazid level on treatment outcomes among tuberculosis patients with slow response – A retrospective cohort study
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Journal of Infection and Chemotherapy.2021; 27(11): 1555. CrossRef
Recent Perspective of Metformin
Sangmo Hong
The Journal of Korean Diabetes.2021; 22(2): 85. CrossRef
Diabetes Monotherapies versus Metformin-Based Combination Therapy for the Treatment of Type 2 Diabetes
Awadhesh K Singh, Ritu Singh, Partha Pratim Chakraborty
International Journal of General Medicine.2021; Volume 14: 3833. CrossRef
The Metabolic Score for Insulin Resistance (METS-IR) as a Predictor of Incident Ischemic Heart Disease: A Longitudinal Study among Korean without Diabetes
Jihyun Yoon, Donghyuk Jung, Yongjae Lee, Byoungjin Park
Journal of Personalized Medicine.2021; 11(8): 742. CrossRef
Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
Ja Young Jeon
Diabetes & Metabolism Journal.2021; 45(4): 613. CrossRef
2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
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Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
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Cardiovascular Safety of SGLT2 Inhibitors Compared to DPP4 Inhibitors and Sulfonylureas as the Second-Line of Therapy in T2DM Using Large, Real-World Clinical Data in Korea
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Diabetes & Metabolism Journal.2021; 45(4): 502. CrossRef
The Effects of Dietary Education Interventions on Individuals with Type 2 Diabetes: A Systematic Review and Meta-Analysis
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International Journal of Environmental Research and Public Health.2021; 18(16): 8439. CrossRef
Treatment Patterns of Type 2 Diabetes Assessed Using a Common Data Model Based on Electronic Health Records of 2000–2019
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Journal of Korean Medical Science.2021;[Epub] CrossRef
Nonalcoholic fatty liver disease and the risk of insulin-requiring gestational diabetes
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Diabetology & Metabolic Syndrome.2021;[Epub] CrossRef
Comparison of the Effects of Various Antidiabetic Medication on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus
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Endocrinology and Metabolism.2021; 36(4): 895. CrossRef
Non-Laboratory-Based Simple Screening Model for Nonalcoholic Fatty Liver Disease in Patients with Type 2 Diabetes Developed Using Multi-Center Cohorts
Jiwon Kim, Minyoung Lee, Soo Yeon Kim, Ji-Hye Kim, Ji Sun Nam, Sung Wan Chun, Se Eun Park, Kwang Joon Kim, Yong-ho Lee, Joo Young Nam, Eun Seok Kang
Endocrinology and Metabolism.2021; 36(4): 823. CrossRef
High Fibrosis-4 Index Is Related with Worse Clinical Outcome in Patients with Coronavirus Disease 2019 and Diabetes Mellitus: A Multicenter Observational Study
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Endocrinology and Metabolism.2021; 36(4): 800. CrossRef
Predictive Value of the Atherogenic Index of Plasma (AIP) for the Risk of Incident Ischemic Heart Disease among Non-Diabetic Koreans
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Response

Response: Predictors of the Therapeutic Efficacy and Consideration of the Best Combination Therapy of Sodium-Glucose Co-transporter 2 Inhibitors (Diabetes Metab J 2019;43:158–73): Ji-Yeon Lee, Eun Seok Kang; Diabetes Metab J. 2019;43(3):379-380. Published online June 13, 2019; DOI: https://doi.org/10.4093/dmj.2018.0106

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Original Articles

Metabolic Risk/Epidemiology
Association between Non-Alcoholic Steatohepatitis and Left Ventricular Diastolic Dysfunction in Type 2 Diabetes Mellitus: Hokyou Lee, Gyuri Kim, Young Ju Choi, Byung Wook Huh, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Eun Jig Lee, Yong-ho Lee, Kap Bum Huh; Diabetes Metab J. 2020;44(2):267-276. Published online February 28, 2019; DOI: https://doi.org/10.4093/dmj.2019.0001

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Background

Impaired diastolic heart function has been observed in persons with non-alcoholic fatty liver disease (NAFLD) and/or with type 2 diabetes mellitus (T2DM). However, it is unclear whether NAFLD fibrotic progression, i.e., non-alcoholic steatohepatitis, poses an independent risk for diastolic dysfunction in T2DM. We investigated the association between liver fibrosis and left ventricular (LV) diastolic dysfunction in T2DM.

Methods

We analyzed 606 patients with T2DM, aged ≥50 years, who had undergone liver ultrasonography and pulsed-wave Doppler echocardiography. Insulin sensitivity was measured by short insulin tolerance test. Presence of NAFLD and/or advanced liver fibrosis was determined by abdominal ultrasonography and NAFLD fibrosis score (NFS). LV diastolic dysfunction was defined according to transmitral peak early to late ventricular filling (E/A) ratio and deceleration time, using echocardiography.

Results

LV diastolic dysfunction was significantly more prevalent in the NAFLD versus non-NAFLD group (59.7% vs. 49.0%, P=0.011). When NAFLD was stratified by NFS, subjects with advanced liver fibrosis exhibited a higher prevalence of diastolic dysfunction (49.0%, 50.7%, 61.8%; none, simple steatosis, advanced fibrosis, respectively; P for trend=0.003). In multivariable logistic regression, liver fibrosis was independently associated with diastolic dysfunction (odds ratio [OR], 1.58; 95% confidence interval [CI], 1.07 to 2.34; P=0.022) after adjusting for insulin resistance and cardiometabolic risk factors. This association remained significant in patients without insulin resistance (OR, 4.32; 95% CI, 1.73 to 11.51; P=0.002).

Conclusions

Liver fibrosis was associated with LV diastolic dysfunction in patients with T2DM and may be an independent risk factor for diastolic dysfunction, especially in patients without systemic insulin resistance.

Citations

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Clinical Diabetes & Therapeutics
Predictors of the Therapeutic Efficacy and Consideration of the Best Combination Therapy of Sodium-Glucose Co-transporter 2 Inhibitors: Ji-Yeon Lee, Yongin Cho, Minyoung Lee, You Jin Kim, Yong-ho Lee, Byung-Wan Lee, Bong-Soo Cha, Eun Seok Kang; Diabetes Metab J. 2019;43(2):158-173. Published online January 25, 2019; DOI: https://doi.org/10.4093/dmj.2018.0057

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Background

We investigated the predictive markers for the therapeutic efficacy and the best combination of sodium-glucose co-transporter 2 (SGLT2) inhibitors (empagliflozin, dapagliflozin, and ipragliflozin) therapy in patients with type 2 diabetes mellitus (T2DM).

Methods

A total of 804 patients with T2DM who had taken SGLT2 inhibitor as monotherapy or an add-on therapy were analyzed. Multivariate regression analyses were performed to identify the predictors of SGLT2 inhibitor response including the classes of baseline anti-diabetic medications.

Results

After adjusting for age, sex, baseline body mass index (BMI), diabetes duration, duration of SGLT2 inhibitor use, initial glycosylated hemoglobin (HbA1c) level, estimated glomerular filtration rate (eGFR), and other anti-diabetic agent usage, multivariate analysis revealed that shorter diabetes duration, higher initial HbA1c and eGFR were associated with better glycemic response. However, baseline BMI was inversely correlated with glycemic status; lean subjects with well-controlled diabetes and obese subjects with inadequately controlled diabetes received more benefit from SGLT2 inhibitor treatment. In addition, dipeptidyl peptidase 4 (DPP4) inhibitor use was related to a greater reduction in HbA1c in patients with higher baseline HbA1c ≥7%. Sulfonylurea users experienced a larger change from baseline HbA1c but the significance was lost after adjustment for covariates and metformin and thiazolidinedione use did not affect the glycemic outcome.

Conclusion

A better response to SGLT2 inhibitors is expected in Korean T2DM patients who have higher baseline HbA1c and eGFR with a shorter diabetes duration. Moreover, the add-on of an SGLT2 inhibitor to a DPP4 inhibitor is likely to show the greatest glycemic response.

Citations

Citations to this article as recorded by

Predictors of efficacy of Sodium‐GLucose Transporter‐2 inhibitors and Glucagon‐Like Peptide 1 receptor agonists: A retrospective cohort study
Daniele Scoccimarro, Giacomo Cipani, Ilaria Dicembrini, Edoardo Mannucci
Diabetes/Metabolism Research and Reviews.2024;[Epub] CrossRef
Short-term effectiveness of dapagliflozin versus DPP-4 inhibitors in elderly patients with type 2 diabetes: a multicentre retrospective study
M. L. Morieri, I. Raz, A. Consoli, M. Rigato, A. Lapolla, F. Broglio, E. Bonora, A. Avogaro, G. P. Fadini, Federica Ginestra, Gloria Formoso, Agostino Consoli, Francesco Andreozzi, Giorgio Sesti, Salvatore Turco, Luigi Lucibelli, Adriano Gatti, Raffaella
Journal of Endocrinological Investigation.2023; 46(7): 1429. CrossRef
Treatment effect heterogeneity following type 2 diabetes treatment with GLP1-receptor agonists and SGLT2-inhibitors: a systematic review
Katherine G. Young, Eram Haider McInnes, Robert J. Massey, Anna R. Kahkoska, Scott J. Pilla, Sridharan Raghavan, Maggie A. Stanislawski, Deirdre K. Tobias, Andrew P. McGovern, Adem Y. Dawed, Angus G. Jones, Ewan R. Pearson, John M. Dennis, Deirdre K. Tobi
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Wei Ying Tan, Wynne Hsu, Mong Li Lee, Ngiap Chuan Tan
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Seung-Hwan Lee, Kyung-Wan Min, Byung-Wan Lee, In-Kyung Jeong, Soon-Jib Yoo, Hyuk-Sang Kwon, Yoon-Hee Choi, Kun-Ho Yoon
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Angiotensin II up-regulates sodium-glucose co-transporter 2 expression and SGLT2 inhibitor attenuates Ang II-induced hypertensive renal injury in mice
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Sodium-Glucose Cotransporter-2 Inhibitor for Renal Function Preservation in Patients with Type 2 Diabetes Mellitus: A Korean Diabetes Association and Korean Society of Nephrology Consensus Statement
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Letter: Predictors of the Therapeutic Efficacy and Consideration of the Best Combination Therapy of Sodium-Glucose Co-transporter 2 Inhibitors (Diabetes Metab J 2019;43:158–73)
Kyung-Soo Kim
Diabetes & Metabolism Journal.2019; 43(3): 377. CrossRef
Response: Predictors of the Therapeutic Efficacy and Consideration of the Best Combination Therapy of Sodium-Glucose Co-transporter 2 Inhibitors (Diabetes Metab J 2019;43:158–73)
Ji-Yeon Lee, Eun Seok Kang
Diabetes & Metabolism Journal.2019; 43(3): 379. CrossRef
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Epidemiology
Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status: Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee; Diabetes Metab J. 2018;42(5):415-424. Published online August 9, 2018; DOI: https://doi.org/10.4093/dmj.2018.0017

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Background

This report presents the recent prevalence and comorbidities related to diabetes in Korea by analyzing the nationally representative data.

Methods

Using data from the Korea National Health and Nutrition Examination Survey for 2013 to 2014, the percentages and the total number of subjects over the age of 30 years with diabetes and prediabetes were estimated and applied to the National Population Census in 2014. Diagnosis of diabetes was based on fasting plasma glucose (≥126 mg/dL), current taking of antidiabetic medication, history of previous diabetes, or glycosylated hemoglobin (HbA1c) ≥6.5%. Impaired fasting glucose (IFG) was defined by fasting plasma glucose in the range of 100 to 125 mg/dL among those without diabetes.

Results

About 4.8 million (13.7%) Korean adults (≥30 years old) had diabetes, and about 8.3 million (24.8%) Korean adults had IFG. However, 29.3% of the subjects with diabetes are not aware of their condition. Of the subjects with diabetes, 48.6% and 54.7% were obese and hypertensive, respectively, and 31.6% had hypercholesterolemia. Although most subjects with diabetes (89.1%) were under medical treatment, and mostly being treated with oral hypoglycemic agents (80.2%), 10.8% have remained untreated. With respect to overall glycemic control, 43.5% reached the target of HbA1c <7%, whereas 23.3% reached the target when the standard was set to HbA1c <6.5%, according to the Korean Diabetes Association guideline.

Conclusion

Diabetes is a major public health threat in Korea, but a significant proportion of adults were not controlling their illness. We need comprehensive approaches to overcome the upcoming diabetes-related disease burden in Korea.

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Bo Kyung Koo
Diabetes & Metabolism Journal.2019; 43(2): 242. CrossRef
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Hannah Seok, Tae Seo Sohn
Diabetes & Metabolism Journal.2019; 43(4): 545. CrossRef
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1,5-Anhydroglucitol as a Useful Marker for Assessing Short-Term Glycemic Excursions in Type 1 Diabetes: Hannah Seok, Ji Hye Huh, Hyun Min Kim, Byung-Wan Lee, Eun Seok Kang, Hyun Chul Lee, Bong Soo Cha; Diabetes Metab J. 2015;39(2):164-170. Published online March 9, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.2.164

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Background

Type 1 diabetes is associated with more severe glycemic variability and more frequent hypoglycemia than type 2 diabetes. Glycemic variability is associated with poor glycemic control and diabetic complications. In this study, we demonstrate the clinical usefulness of serum 1,5-anhydroglucitol (1,5-AG) for assessing changes in glycemic excursion in type 1 diabetes.

Methods

Seventeen patients with type 1 diabetes were enrolled in this study. A continuous glucose monitoring system (CGMS) was applied twice at a 2-week interval to evaluate changes in glycemic variability. The changes in serum glycemic assays, including 1,5-AG, glycated albumin and hemoglobin A1c (HbA1c), were also evaluated.

Results

Most subjects showed severe glycemic excursions, including hypoglycemia and hyperglycemia. The change in 1,5-AG level was significantly correlated with changes in the glycemic excursion indices of the standard deviation (SD), mean amplitude of glucose excursion (MAGE), lability index, mean postmeal maximum glucose, and area under the curve for glucose above 180 mg/dL (r=-0.576, -0.613, -0.600, -0.630, and -0.500, respectively; all P<0.05). Changes in glycated albumin were correlated with changes in SD and MAGE (r=0.495 and 0.517, respectively; all P<0.05). However, changes in HbA1c were not correlated with any changes in the CGMS variables.

Conclusion

1,5-AG may be a useful marker for the assessment of short-term changes in glycemic variability. Furthermore, 1,5-AG may have clinical implications for the evaluation and treatment of glycemic excursions in type 1 diabetes.

Citations

Citations to this article as recorded by

Glycemic dispersion: a new index for screening high glycemic variability
Rui Shi, Lei Feng, Yan-Mei Liu, Wen-Bo Xu, Bei-Bei Luo, Ling-Tong Tang, Qian-Ye Bi, Hui-Ying Cao
Diabetology & Metabolic Syndrome.2023;[Epub] CrossRef
Digital Behavior Change Interventions to Reduce Sedentary Behavior and Promote Physical Activity in Adults with Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Xiaoyan Zhang, Xue Qiao, Ke Peng, Shan Gao, Yufang Hao
International Journal of Behavioral Medicine.2023;[Epub] CrossRef
DBS are suitable for 1,5-anhydroglucitol monitoring in GSD1b and G6PC3-deficient patients taking SGLT2 inhibitors to treat neutropenia
Joseph P. Dewulf, Nathalie Chevalier, Sandrine Marie, Maria Veiga-da-Cunha
Molecular Genetics and Metabolism.2023; 140(3): 107712. CrossRef
The correlation between serum 1, 5-anhydroglucitol and β-cell function in Chinese adults with different glucose metabolism statuses
Yuexing Yuan, Yuanyuan Tan, Yao Wang, Shanhu Qiu, Jiao Yang, Cheng Chen
International Journal of Diabetes in Developing Countries.2023;[Epub] CrossRef
HbA1c combined with glycated albumin or 1,5‐anhydroglucitol improves the efficiency of diabetes screening in a Chinese population
Junyi Qian, Cheng Chen, Xiaohang Wang, Yuanyuan Tan, Jiao Yang, Yuexing Yuan, Juan Chen, Haijian Guo, Bei Wang, Zilin Sun, Yao Wang
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Assessment of glycemia in chronic kidney disease
Mohamed Hassanein, Tariq Shafi
BMC Medicine.2022;[Epub] CrossRef
Continuous subcutaneous insulin infusion alters microRNA expression and glycaemic variability in children with type 1 diabetes
Emma S. Scott, Andrzej S. Januszewski, Luke M. Carroll, Gregory R. Fulcher, Mugdha V. Joglekar, Anandwardhan A. Hardikar, Timothy W. Jones, Elizabeth A. Davis, Alicia J. Jenkins
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Takakazu Yagi, Koji Ataka, Kai-Chun Cheng, Hajime Suzuki, Keizaburo Ogata, Yumiko Yoshizaki, Kazunori Takamine, Ikuo Kato, Shouichi Miyawaki, Akio Inui, Akihiro Asakawa
Food & Nutrition Research.2020;[Epub] 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
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Resolution on the results of the first working meeting of the scientific advisory board «Actual problems of glycemic variability as a new criterion of glycemic control and safety of diabetes therapy»
Mikhail B. Antsiferov, Gagik R. Galstyan, Alexey V. Zilov, Alexander Y. Mayorov, Tatyana N. Markova, Nikolay A. Demidov, Olga M. Koteshkova, Dmitry N. Laptev, Alisa V. Vitebskaya
Diabetes mellitus.2019; 22(3): 281. CrossRef
Hyperglycemia and Carotenoid Intake Are Associated with Serum Carotenoids in Youth with Type 1 Diabetes
Namrata Sanjeevi, Leah M. Lipsky, Tonja R. Nansel
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Correlation of Serum 1,5-AG with Uric Acid in Type 2 Diabetes Mellitus with Different Renal Functions
Kai Zhang, Bizhen Xue, Yuexing Yuan, Yao Wang
International Journal of Endocrinology.2019; 2019: 1. CrossRef
Glycaemic control and glycaemic variability in older people with diabetes
Hermes J Florez
The Lancet Diabetes & Endocrinology.2018; 6(6): 433. CrossRef
Alternate glycemic markers reflect glycemic variability in continuous glucose monitoring in youth with prediabetes and type 2 diabetes
Christine L. Chan, Laura Pyle, Megan M. Kelsey, Lindsey Newnes, Amy Baumgartner, Philip S. Zeitler, Kristen J. Nadeau
Pediatric Diabetes.2017; 18(7): 629. CrossRef
1,5-anidroglucitolo: un marcatore non tradizionale di iperglicemia
Gabriella Lavalle, Roberto Testa, Maria Elisabetta Onori, Raffaella Vero, Anna Vero
La Rivista Italiana della Medicina di Laboratorio - Italian Journal of Laboratory Medicine.2017; 13(3-4): 139. CrossRef
Glycemic control and variability in association with body mass index and body composition over 18months in youth with type 1 diabetes
Leah M. Lipsky, Benjamin Gee, Aiyi Liu, Tonja R. Nansel
Diabetes Research and Clinical Practice.2016; 120: 97. CrossRef
How Can We Easily Measure Glycemic Variability in Diabetes Mellitus?
Suk Chon
Diabetes & Metabolism Journal.2015; 39(2): 114. CrossRef
Alternative biomarkers for assessing glycemic control in diabetes: fructosamine, glycated albumin, and 1,5-anhydroglucitol
Ji-Eun Lee
Annals of Pediatric Endocrinology & Metabolism.2015; 20(2): 74. CrossRef
Glycemic Variability: How Do We Measure It and Why Is It Important?
Sunghwan Suh, Jae Hyeon Kim
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The Glycated Albumin to Glycated Hemoglobin Ratio Might Not Be Associated with Carotid Atherosclerosis in Patients with Type 1 Diabetes: Wonjin Kim, Kwang Joon Kim, Byung-Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee; Diabetes Metab J. 2014;38(6):456-463. Published online December 15, 2014; DOI: https://doi.org/10.4093/dmj.2014.38.6.456

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Background

The ratio of glycated albumin to glycated hemoglobin (GA/A1c) is known to be elevated in subjects with type 2 diabetes mellitus (T2DM) who had decreased insulin secretion. Additionally, the carotid intima media thickness (IMT) is greater in T2DM patients with higher GA/A1c ratios. We investigated whether increased GA/A1c ratio and IMT are also associated in type 1 diabetes mellitus (T1DM), which is characterized by lack of insulin secretory capacity.

Methods

In this cross-sectional study, we recruited 81 T1DM patients (33 men, 48 women; mean age 44.1±13.0 years) who underwent carotid IMT, GA, and HbA1c measurements.

Results

The mean GA/A1c ratio was 2.90. Based on these results, we classified the subjects into two groups: group I (GA/A1c ratio <2.90, n=36) and group II (GA/A1c ratio ≥2.90, n=45). Compared with group I, the body mass indexes (BMIs), waist circumferences, and IMTs were lower in group II. GA/A1c ratio was negatively correlated with BMI, urine albumin to creatinine ratio (P<0.001 for both), and both the mean and maximal IMT (P=0.001, both). However, after adjusting the confounding factors, we observed that IMT was no longer associated with GA/A1c ratio.

Conclusion

In contrast to T2DM, IMT was not significantly related to GA/A1c ratio in the subjects with T1DM. This suggests that the correlations between GA/A1c ratio and the parameters known to be associated with atherosclerosis in T2DM could be manifested differently in T1DM. Further studies are needed to investigate these relationships in T1DM.

Citations

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Glycated Albumin and Glycated Albumin/HbA1c Predict the Progression of Coronavirus Disease 2019 from Mild to Severe Disease in Korean Patients with Type 2 Diabetes
Jeongseon Yoo, Youngah Choi, Shin Ae Park, Ji Yeon Seo, Chul Woo Ahn, Jaehyun Han
Journal of Clinical Medicine.2022; 11(9): 2327. CrossRef
Variability in glycated albumin levels predicts the progression of diabetic nephropathy
Su Bin Park, Sang Soo Kim, In Joo Kim, Yoon Jeong Nam, Kang Hee Ahn, Jong Ho Kim, Yun Kyung Jeon, Bo Hyun Kim, Sang Heon Song, Ihm Soo Kwak, Eun Kyung Lee, Yong Ki Kim
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Gyuri Kim, Kwang Joon Kim, Yumie Rhee, Sung-Kil Lim, Salvatore Petta
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Determinants of Preclinical Atherosclerosis Are Different in Type 1 and Type 2 Diabetic Women
P. PIŤHOVÁ, K. ŠTECHOVÁ, J. PIŤHA, V. LÁNSKÁ, M. KVAPIL
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Glycated albumin and the risk of micro- and macrovascular complications in subjects with Type 1 Diabetes
Hye-jin Yoon, Yong-ho Lee, So Ra Kim, Tyler Hyungtaek Rim, Eun Young Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Byung-Wan Lee
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Hye-jin Yoon, Yong-ho Lee, Kwang Joon Kim, So Ra Kim, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Byung-Wan Lee
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Cardiovascular Diabetology.2015;[Epub] CrossRef

Response

Response: The Effect of DPP-4 Inhibitors on Metabolic Parameters in Patients with Type 2 Diabetes (Diabetes Metab J 2014;38:211-9): EunYeong Choe, Eun Seok Kang; Diabetes Metab J. 2014;38(4):319-320. Published online August 20, 2014; DOI: https://doi.org/10.4093/dmj.2014.38.4.319

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Original Article

The Effect of DPP-4 Inhibitors on Metabolic Parameters in Patients with Type 2 Diabetes: Eun Yeong Choe, Yongin Cho, Younjeong Choi, Yujung Yun, Hye Jin Wang, Obin Kwon, Byung-Wan Lee, Chul Woo Ahn, Bong Soo Cha, Hyun Chul Lee, Eun Seok Kang; Diabetes Metab J. 2014;38(3):211-219. Published online June 17, 2014; DOI: https://doi.org/10.4093/dmj.2014.38.3.211

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Abstract PDF Supplementary Material PubReader

Background

We evaluated the effects of two dipeptidyl peptidase-4 (DPP-4) inhibitors, sitagliptin and vildagliptin, on metabolic parameters in patients with type 2 diabetes mellitus.

Methods

A total of 170 type 2 diabetes patients treated with sitagliptin or vildagliptin for more than 24 weeks were selected. The patients were separated into two groups, sitagliptin (100 mg once daily, n=93) and vildagliptin (50 mg twice daily, n=77). We compared the effect of each DPP-4 inhibitor on metabolic parameters, including the fasting plasma glucose (FPG), postprandial glucose (PPG), glycated hemoglobin (HbA1c), and glycated albumin (GA) levels, and lipid parameters at baseline and after 24 weeks of treatment.

Results

The HbA1c, FPG, and GA levels were similar between the two groups at baseline, but the sitagliptin group displayed a higher PPG level (P=0.03). After 24 weeks of treatment, all of the glucose-related parameters were significantly decreased in both groups (P=0.001). The levels of total cholesterol and triglycerides were only reduced in the vildagliptin group (P=0.001), although the sitagliptin group received a larger quantity of statins than the vildagliptin group (P=0.002).The mean change in the glucose- and lipid-related parameters after 24 weeks of treatment were not significantly different between the two groups (P=not significant). Neither sitagliptin nor vildagliptin treatment was associated with a reduction in the high sensitive C-reactive protein level (P=0.714).

Conclusion

Vildagliptin and sitagliptin exert a similar effect on metabolic parameters, but vildagliptin exerts a more potent beneficial effect on lipid parameters.

Citations

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Seung-Hwan Lee
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