Diabetes & Metabolism Journal

Brief Report

Metabolic Risk/Epidemiology
Trends in the Prevalence of Obesity and Its Phenotypes Based on the Korea National Health and Nutrition Examination Survey from 2007 to 2017 in Korea: Sang Ouk Chin, You-Cheol Hwang, Hong-Yup Ahn, Ji Eun Jun, In-Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung; Diabetes Metab J. 2022;46(5):808-812. Published online March 8, 2022; DOI: https://doi.org/10.4093/dmj.2021.0226

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This study used data from the Korea National Health and Nutrition Examination Survey IV–VII from 2007 to identify the prevalence of obesity and its phenotypes (metabolically unhealthy obesity [MUO] and metabolically healthy obesity [MHO]) and their secular changes. The prevalence of obesity in Korea increased with significant secular changes observed (β=0.326, P trend <0.01) between 2007 and 2017, and especially in men (β=0.682, P trend <0.001) but not in women. The changes in the prevalence of obesity during the study period were different between men and women (P=0.001). The prevalence of MUO significantly increased only in men (β=0.565, P trend <0.01), while that of MHO increased only in women (β=0.179, P<0.05), especially in the younger age group (β=0.308, P<0.01).

Citations

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Link between obesity and growth in children and adolescents
Hae Sang Lee
Journal of the Korean Medical Association.2024; 67(5): 330. CrossRef
Hormonal Gut–Brain Signaling for the Treatment of Obesity
Eun Roh, Kyung Mook Choi
International Journal of Molecular Sciences.2023; 24(4): 3384. CrossRef
Differences of Regional Fat Distribution Measured by Magnetic Resonance Imaging According to Obese Phenotype in Koreans
Ha-Neul Choi, Hyunjung Lim, Young-Seol Kim, Sang-Youl Rhee, Jung-Eun Yim
Metabolic Syndrome and Related Disorders.2022; 20(10): 551. CrossRef

Original Articles

Drug/Regimen
Effects of Teneligliptin on HbA1c levels, Continuous Glucose Monitoring-Derived Time in Range and Glycemic Variability in Elderly Patients with T2DM (TEDDY Study): Ji Cheol Bae, Soo Heon Kwak, Hyun Jin Kim, Sang-Yong Kim, You-Cheol Hwang, Sunghwan Suh, Bok Jin Hyun, Ji Eun Cha, Jong Chul Won, Jae Hyeon Kim; Diabetes Metab J. 2022;46(1):81-92. Published online June 16, 2021; DOI: https://doi.org/10.4093/dmj.2021.0016

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Background
To evaluate the effects of teneligliptin on glycosylated hemoglobin (HbA1c) levels, continuous glucose monitoring (CGM)-derived time in range, and glycemic variability in elderly type 2 diabetes mellitus patients.
Methods
This randomized, double-blinded, placebo-controlled study was conducted in eight centers in Korea (clinical trial registration number: NCT03508323). Sixty-five participants aged ≥65 years, who were treatment-naïve or had been treated with stable doses of metformin, were randomized at a 1:1 ratio to receive 20 mg of teneligliptin (n=35) or placebo (n=30) for 12 weeks. The main endpoints were the changes in HbA1c levels from baseline to week 12, CGM metrics-derived time in range, and glycemic variability.
Results
After 12 weeks, a significant reduction (by 0.84%) in HbA1c levels was observed in the teneligliptin group compared to that in the placebo group (by 0.08%), with a between-group least squares mean difference of –0.76% (95% confidence interval [CI], –1.08 to –0.44). The coefficient of variation, standard deviation, and mean amplitude of glycemic excursion significantly decreased in participants treated with teneligliptin as compared to those in the placebo group. Teneligliptin treatment significantly decreased the time spent above 180 or 250 mg/dL, respectively, without increasing the time spent below 70 mg/dL. The mean percentage of time for which glucose levels remained in the 70 to 180 mg/dL time in range (TIR70–180) at week 12 was 82.0%±16.0% in the teneligliptin group, and placebo-adjusted change in TIR70–180 from baseline was 13.3% (95% CI, 6.0 to 20.6).
Conclusion
Teneligliptin effectively reduced HbA1c levels, time spent above the target range, and glycemic variability, without increasing hypoglycemia in our study population.

Citations

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Comparison of teneligliptin and other gliptin-based regimens in addressing insulin resistance and glycemic control in type 2 diabetic patients: a cross-sectional study
Harmanjit Singh, Ravi Rohilla, Shivani Jaswal, Mandeep Singla
Expert Review of Endocrinology & Metabolism.2024; 19(1): 81. CrossRef
Potential approaches using teneligliptin for the treatment of type 2 diabetes mellitus: current status and future prospects
Harmanjit Singh, Jasbir Singh, Ravneet Kaur Bhangu, Mandeep Singla, Jagjit Singh, Farideh Javid
Expert Review of Clinical Pharmacology.2023; 16(1): 49. CrossRef
Mechanism of molecular interaction of sitagliptin with human DPP4 enzyme - New Insights
Michelangelo Bauwelz Gonzatti, José Edvar Monteiro Júnior, Antônio José Rocha, Jonathas Sales de Oliveira, Antônio José de Jesus Evangelista, Fátima Morgana Pio Fonseca, Vânia Marilande Ceccatto, Ariclécio Cunha de Oliveira, José Ednésio da Cruz Freire
Advances in Medical Sciences.2023; 68(2): 402. CrossRef
A prospective multicentre open label study to assess effect of Teneligliptin on glycemic control through parameters of time in range (TIR) Metric using continuous glucose monitoring (TOP-TIR study)
Banshi Saboo, Suhas Erande, A.G. Unnikrishnan
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2022; 16(2): 102394. CrossRef
Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
Min Jeong Park, Kyung Mook Choi
Diabetes & Metabolism Journal.2022; 46(1): 49. CrossRef

Metabolic Risk/Epidemiology
Increased Visit-to-Visit Liver Enzyme Variability Is Associated with Incident Diabetes: A Community-Based 12-Year Prospective Cohort Study: Kyuhoon Bang, Ji Eun Jun, In-Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung, You-Cheol Hwang; Diabetes Metab J. 2021;45(6):890-898. Published online March 17, 2021; DOI: https://doi.org/10.4093/dmj.2020.0208

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Graphical Abstract Abstract PDF Supplementary Material PubReader ePub: Background
Fatty liver and/or increased liver enzyme values have been reported to be associated with incident diabetes. We sought to determine whether increased visit-to-visit liver enzyme variability is associated with incident diabetes.
Methods
Study participants were recruited from the Korean Genome and Epidemiologic Study (KoGES). A total of 4,151 people aged 40 to 69 years was recruited and tested every 2 years for up to 12 years. Visit-to-visit aspartate aminotransferase (AST) and alanine aminotransferase (ALT) variability was evaluated in first the 6-year period through the use of various variability measurements: standard deviation (SD), average successive variability, coefficient of variation (CV), and variation independent of mean (VIM). Oral glucose tolerance test was performed at every visit.
Results
During the 6-year follow‐up appointments, 13.0% (538/4,151) of people developed incident diabetes. Visit-to-visit AST variability was associated with an increased risk of diabetes independent of conventional risk factors for diabetes (hazard ratio per 1-SD increment [95% confidence interval]: 1.06 [1.00 to 1.11], 1.12 [1.04 to 1.21], and 1.13 [1.04 to 1.22] for SD, CV, and VIM, respectively; all P<0.05); however, no such associations were observed in the visit-to-visit ALT variability. According to alcohol consumption status, both AST and ALT variability were independent predictors for incident diabetes in subjects with heavy alcohol consumption; however, neither AST nor ALT variability was associated with diabetes risk in subjects who did not drink alcohol heavily.
Conclusion
Visit-to-visit liver enzyme variability is an independent predictor of incident diabetes. Such association was more evident in those who consumed significant amounts of alcohol.

Metabolic Risk/Epidemiology
Intra-Abdominal Fat and High Density Lipoprotein Cholesterol Are Associated in a Non-Linear Pattern in Japanese-Americans: Sun Ok Song, You-Cheol Hwang, Steven E. Kahn, Donna L. Leonetti, Wilfred Y. Fujimoto, Edward J. Boyko; Diabetes Metab J. 2020;44(2):277-285. Published online March 10, 2020; DOI: https://doi.org/10.4093/dmj.2019.0008

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Background

We describe the association between high density lipoprotein cholesterol (HDL-C) concentration and computed tomography (CT)-measured fat depots.

Methods

We examined the cross-sectional associations between HDL-C concentration and intra-abdominal (IAF), abdominal subcutaneous (SCF), and thigh fat (TF) areas in 641 Japanese-American men and women. IAF, SCF, and TF were measured by CT at the level of the umbilicus and mid-thigh. The associations between fat area measurements and HDL-C were examined using multivariate linear regression analysis adjusting for age, sex, diabetes family history, homeostasis model assessment of insulin resistance (HOMA-IR), and body mass index (BMI). Non-linearity was assessed using fractional polynomials.

Results

Mean±standard deviation of HDL-C concentration and IAF in men and women were 1.30±0.34 mg/dL, 105±55.3 cm², and 1.67±0.43 mg/dL, 74.4±46.6 cm² and differed significantly by gender for both comparisons (P<0.001). In univariate analysis, HDL-C concentration was significantly associated with CT-measured fat depots. In multivariate analysis, IAF was significantly and non-linearly associated with HDL-C concentration adjusted for age, sex, BMI, HOMA-IR, SCF, and TF (IAF: β=−0.1012, P<0.001; IAF²: β=0.0008, P<0.001). SCF was also negatively and linearly associated with HDL-C (β=−0.4919, P=0.001).

Conclusion

HDL-C does not linearly decline with increasing IAF in Japanese-Americans. A more complex pattern better fits this association.

Citations

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Associations of Serum Uric Acid to High-Density Lipoprotein Cholesterol Ratio with Trunk Fat Mass and Visceral Fat Accumulation
Yansu Wang, Yiting Xu, Tingting Hu, Yunfeng Xiao, Yufei Wang, Xiaojing Ma, Haoyong Yu, Yuqian Bao
Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 121. CrossRef
Impact of the COVID-19 Pandemic on Obesity, Metabolic Parameters and Clinical Values in the South Korean Adult Population
Anna Kim, Eun-yeob Kim, Jaeyoung Kim
Journal of Clinical Medicine.2024; 13(10): 2814. CrossRef
Obesity-related parameters in carriers of some BDNF genetic variants may depend on daily dietary macronutrients intake
Urszula Miksza, Edyta Adamska-Patruno, Witold Bauer, Joanna Fiedorczuk, Przemyslaw Czajkowski, Monika Moroz, Krzysztof Drygalski, Andrzej Ustymowicz, Elwira Tomkiewicz, Maria Gorska, Adam Kretowski
Scientific Reports.2023;[Epub] CrossRef
Computed tomography-based investigation of the correlation of abdominal fat areas with metabolic syndrome
Kai-Yuan Cheng, Tsung-Hsien Yen, Jay Wu, Pei-Hsuan Li, Tian-Yu Shih
Journal of Radiological Science.2023; 48(1): 15. CrossRef
Lower High-Density Lipoprotein Cholesterol Concentration Is Independently Associated with Greater Future Accumulation of Intra-Abdominal Fat
Sun Ok Song, You-Cheol Hwang, Han Uk Ryu, Steven E. Kahn, Donna L. Leonetti, Wilfred Y. Fujimoto, Edward J. Boyko
Endocrinology and Metabolism.2021; 36(4): 835. CrossRef

Response

Response: Comparison of the Efficacy of Rosuvastatin Monotherapy 20 mg with Rosuvastatin 5 mg and Ezetimibe 10 mg Combination Therapy on Lipid Parameters in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J 2019;43:582–9): You-Cheol Hwang; Diabetes Metab J. 2019;43(6):915-916. Published online December 26, 2019; DOI: https://doi.org/10.4093/dmj.2019.0213

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Citations

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Improved Pharmacodynamic Potential of Rosuvastatin by Self-Nanoemulsifying Drug Delivery System: An in vitro and in vivo Evaluation
Ravinder Verma, Ajeet Kaushik, Rafa Almeer, Md Habibur Rahman, Mohamed M Abdel-Daim, Deepak Kaushik
International Journal of Nanomedicine.2021; Volume 16: 905. CrossRef

Short Communication

Clinical Diabetes & Therapeutics
A Lower Baseline Urinary Glucose Excretion Predicts a Better Response to the Sodium Glucose Cotransporter 2 Inhibitor: You-Cheol Hwang, Jae Hyeon Kim, Byung-Wan Lee, Woo Je Lee; Diabetes Metab J. 2019;43(6):898-905. Published online June 14, 2019; DOI: https://doi.org/10.4093/dmj.2018.0257

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We aimed to identify the clinical variables associated with a better glucose-lowering response to the sodium glucose cotransporter 2 inhibitor ipragliflozin in people with type 2 diabetes mellitus (T2DM). We especially focused on urinary glucose excretion (UGE). This was a single-arm multicenter prospective study. A total of 92 people with T2DM aged 20 to 70 years with glycosylated hemoglobin (HbA1c) levels ≥7.0% and ≤9.5% were enrolled. Ipragliflozin (50 mg) was added to the background therapy for these people for 12 weeks. After 3 months treatment with ipragliflozin, the mean HbA1c levels were decreased from 7.6% to 6.9% and 62.0% of the people reached the HbA1c target of less than 7.0% (P<0.001). In addition, body weight, blood pressure, and lipid parameters were improved after ipragliflozin treatment (all P<0.001). The baseline HbA1c (r=0.66, P<0.001) and morning spot urine glucose to creatinine ratio (r=−0.30, P=0.001) were independently associated with the HbA1c reduction. Ipragliflozin treatment for 12 weeks improves glycemic control and other metabolic parameters. A higher HbA1c and lower UGE at baseline predicts a better glucose-lowering efficacy of ipragliflozin.

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Allison Zhang, Rita El Hachem, Jennifer Goldman
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Association of common variant rs9934336 of SLC5A2 (SGLT2) gene with SARS-CoV-2 infection and mortality
Anamika Das, Gunanidhi Dhangadamajhi
Egyptian Journal of Medical Human Genetics.2024;[Epub] CrossRef
Mathematical Models of the Effect of Glucagon on Glycemia in Individuals With Type 2 Diabetes Treated With Dapagliflozin
Tomoko Yamada, Hikaru Sugimoto, Ken-ichi Hironaka, Yasuko Morita, Hiroshi Miura, Natsu Otowa-Suematsu, Yuko Okada, Yushi Hirota, Kazuhiko Sakaguchi, Shinya Kuroda, Wataru Ogawa
Journal of the Endocrine Society.2024;[Epub] CrossRef
β-hydroxybutyrate as a biomarker of β-cell function in new-onset type 2 diabetes and its association with treatment response at 6 months
Minyoung Lee, Yongin Cho, Yong-ho Lee, Eun Seok Kang, Bong-soo Cha, Byung-Wan Lee
Diabetes & Metabolism.2023; 49(4): 101427. CrossRef
A Comparative Study on the Efficacy and Safety of Dose Escalation of Luseogliflozin in Type 2 Diabetes Mellitus Patients With Poor Glycemic Control
Tadashi Arao, Yosuke Okada, Akira Kurozumi, Yoshiya Tanaka
Cureus.2023;[Epub] CrossRef
Role of SLC5A2 polymorphisms and effects of genetic polymorphism on sodium glucose cotransporter 2 inhibitorsinhibitor response
Bo Xu, Shaoqian Li, Bo Kang, Shangzhi Fan, Canyu Chen, Weiyi Li, Jixiang Chen, Zunbo He, Fan Tang, Jiecan Zhou
Molecular Biology Reports.2023; 50(11): 9637. CrossRef
Current Use and Complementary Value of Combining in Vivo Imaging Modalities to Understand the Renoprotective Effects of Sodium-Glucose Cotransporter-2 Inhibitors at a Tissue Level
Sjoukje van der Hoek, Jasper Stevens
Frontiers in Pharmacology.2022;[Epub] CrossRef
Clinical and genetic determinants of urinary glucose excretion in patients with diabetes mellitus
Keisuke Monobe, Shinsuke Noso, Naru Babaya, Yoshihisa Hiromine, Yasunori Taketomo, Fumimaru Niwano, Sawa Yoshida, Sara Yasutake, Tatsuro Minohara, Yumiko Kawabata, Hiroshi Ikegami
Journal of Diabetes Investigation.2021; 12(5): 728. CrossRef
Beneficial effect of anti-diabetic drugs for nonalcoholic fatty liver disease
Kyung-Soo Kim, Byung-Wan Lee
Clinical and Molecular Hepatology.2020; 26(4): 430. CrossRef

Original Articles

Clinical Diabetes & Therapeutics
Comparison of the Efficacy of Rosuvastatin Monotherapy 20 mg with Rosuvastatin 5 mg and Ezetimibe 10 mg Combination Therapy on Lipid Parameters in Patients with Type 2 Diabetes Mellitus: You-Cheol Hwang, Ji Eun Jun, In-Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung; Diabetes Metab J. 2019;43(5):582-589. Published online January 16, 2019; DOI: https://doi.org/10.4093/dmj.2018.0124

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Background

The apolipoprotein B/A1 (apoB/A1) ratio is a stronger predictor of future cardiovascular disease than is the level of conventional lipids. Statin and ezetimibe combination therapy have shown additional cardioprotective effects over statin monotherapy.

Methods

This was a single-center, randomized, open-label, active-controlled study in Korea. A total of 36 patients with type 2 diabetes mellitus were randomized to either rosuvastatin monotherapy (20 mg/day, n=20) or rosuvastatin/ezetimibe (5 mg/10 mg/day, n=16) combination therapy for 6 weeks.

Results

After the 6-week treatment, low density lipoprotein cholesterol (LDL-C) and apoB reduction were comparable between the two groups (−94.3±15.4 and −62.0±20.9 mg/dL in the rosuvastatin group, −89.9±22.7 and −66.8±21.6 mg/dL in the rosuvastatin/ezetimibe group, P=0.54 and P=0.86, respectively). In addition, change in apoB/A1 ratio (−0.44±0.16 in the rosuvastatin group and −0.47±0.25 in the rosuvastatin/ezetimibe group, P=0.58) did not differ between the two groups. On the other hand, triglyceride and free fatty acid (FFA) reductions were greater in the rosuvastatin/ezetimibe group than in the rosuvastatin group (−10.5 mg/dL [interquartile range (IQR), −37.5 to 29.5] and 0.0 µEq/L [IQR, −136.8 to 146.0] in the rosuvastatin group, −49.5 mg/dL [IQR, −108.5 to −27.5] and −170.5 µEq/L [IQR, −353.0 to 0.8] in the rosuvastatin/ezetimibe group, P=0.010 and P=0.049, respectively). Both treatments were generally well tolerated, and there were no differences in muscle or liver enzyme elevation.

Conclusion

A 6-week combination therapy of low-dose rosuvastatin and ezetimibe showed LDL-C, apoB, and apoB/A1 ratio reduction comparable to that of high-dose rosuvastatin monotherapy in patients with type 2 diabetes mellitus. Triglyceride and FFA reductions were greater with the combination therapy than with rosuvastatin monotherapy.

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Yura Kang, Jung Mi Park, Sang-Hak Lee
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A Comparison of Rosuvastatin Monotherapy and Rosuvastatin Plus Ezetimibe Combination Therapy in Patients With Type 2 Diabetes: A Meta-Analysis of Randomized Controlled Trials
Samuel K Dadzie, Godfrey Tabowei, Mandeep Kaur, Saeed Ahmed, Aayushi Thakur, Khaldoun Khreis, Monika Bai, Adil Amin
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Ezetimibe and diabetes mellitus:a new strategy for lowering cholesterol
V.A. Serhiyenko, A.A. Serhiyenko
INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine).2022; 18(5): 302. CrossRef
The Effect of Rosuvastatin on Plasma/Serum Levels of High-Sensitivity C-Reactive Protein, Interleukin-6, and D-Dimer in People Living with Human Immunodeficiency Virus: A Systematic Review and Meta-Analysis
Akililu Alemu Ashuro, Yin-Guang Fan, Yuan-Sheng Fu, Dong-Sheng Di, Napoleon Bellua Sam, Hai-Feng Pan, Dong-Qing Ye
AIDS Research and Human Retroviruses.2021; 37(11): 821. CrossRef
Comparison of the Efficacy and Safety of Rosuvastatin/Ezetimibe Combination Therapy and Rosuvastatin Monotherapy on Lipoprotein in Patients With Type 2 Diabetes: Multicenter Randomized Controlled Study
Jiwoo Lee, You-Cheol Hwang, Woo Je Lee, Jong Chul Won, Kee-Ho Song, Cheol-Young Park, Kyu Jeung Ahn, Joong-Yeol Park
Diabetes Therapy.2020; 11(4): 859. CrossRef
Comparison of Renal Effects of Ezetimibe–Statin Combination versus Statin Monotherapy: A Propensity-Score-Matched Analysis
Jaehyun Bae, Namki Hong, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Yong-ho Lee
Journal of Clinical Medicine.2020; 9(3): 798. CrossRef
Combined use of rosuvastatin and ezetimibe improves hepatic steatosis in patients with dyslipidemia
Won Dong Lee, Beom Kyung Kim, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Kwang-Hyub Han, Seung Up Kim
European Journal of Gastroenterology & Hepatology.2020; 32(12): 1538. CrossRef
Influence of rosuvastatin dose on total fatty acids and free fatty acids in plasma
Cristian I. Ciucanu, Sonia Olariu, Daliborca C. Vlad, Victor Dumitraşcu
Medicine.2020; 99(48): e23356. CrossRef
The effect of switching from statin-monotherapy to statin/ezetimibe combination therapy on lipid profiles in patients with type 2 diabetes and dyslipidemia: a multicenter open-label study (EUCLID)
Mitsuhide Takeshita, Atsushi Tanaka, Atsushi Kawaguchi, Keiko Sato, Shigeru Toyoda, Teruo Inoue, Koichi Node
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Response: Comparison of the Efficacy of Rosuvastatin Monotherapy 20 mg with Rosuvastatin 5 mg and Ezetimibe 10 mg Combination Therapy on Lipid Parameters in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J 2019;43:582–9)
You-Cheol Hwang
Diabetes & Metabolism Journal.2019; 43(6): 915. CrossRef
Letter: Comparison of the Efficacy of Rosuvastatin Monotherapy 20 mg with Rosuvastatin 5 mg and Ezetimibe 10 mg Combination Therapy on Lipid Parameters in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2019;43:582–9)
Tae Seo Sohn
Diabetes & Metabolism Journal.2019; 43(6): 909. CrossRef
Changes in Plasma Free Fatty Acids Associated with Type-2 Diabetes
Amélie I. S. Sobczak, Claudia A. Blindauer, Alan J. Stewart
Nutrients.2019; 11(9): 2022. CrossRef

Obesity and Metabolic Syndrome
Higher High Density Lipoprotein 2 (HDL2) to Total HDL Cholesterol Ratio Is Associated with a Lower Risk for Incident Hypertension: You-Cheol Hwang, Wilfred Y. Fujimoto, Steven E. Kahn, Donna L. Leonetti, Edward J. Boyko; Diabetes Metab J. 2019;43(1):114-122. Published online September 28, 2018; DOI: https://doi.org/10.4093/dmj.2018.0053

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Background

Recent studies have suggested that high density lipoprotein (HDL) cholesterol is inversely associated with the development of hypertension. We aimed to determine the association between different HDL cholesterol subclasses and risk of future hypertension.

Methods

A total of 270 Japanese Americans (130 men, 140 women) without hypertension between the ages of 34 to 75 years were enrolled. Blood pressure was measured with a mercury sphygmomanometer, and average blood pressure was calculated. Incident hypertension was determined 5 to 6 and 10 to 11 years after enrollment. HDL2, HDL3, and total HDL cholesterol were measured at baseline.

Results

During 10 years of follow-up, the cumulative incidence of hypertension was 28.1% (76/270). In univariate analysis, age, diabetes, waist circumference, systolic and diastolic blood pressure, fasting glucose, insulin resistance index, total and low density lipoprotein cholesterol, and visceral adipose tissue were significant predictors for incident hypertension. Among the HDL cholesterol subclass, HDL2 cholesterol was inversely associated with hypertension incidence, but both total and HDL3 cholesterol were not. In addition, HDL2/HDL cholesterol was inversely associated with future hypertension risk. In multivariate analysis, age (odds ratio [OR], 1.71; 95% confidence interval [CI], 1.26 to 2.31; P=0.001), systolic blood pressure (OR, 1.83; 95% CI, 1.31 to 2.56; P<0.001), and HDL2/HDL cholesterol (OR, 0.71; 95% CI, 0.52 to 0.98; P=0.035), were associated with future development of hypertension.

Conclusion

A higher proportion of HDL2 cholesterol among total HDL cholesterol predicted a lower risk for incident hypertension. However, concentrations of total HDL, HDL2, and HDL3 cholesterol were not independent predictors of incident hypertension.

Citations

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Tong Chen, Shiquan Wu, Ling Feng, SiYu Long, Yu Liu, WenQian Lu, Wenya Chen, Guoai Hong, Li Zhou, Fang Wang, Yuechan Luo, Hequn Zou
Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 363. CrossRef
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Yuqin Zhang, Shirui Chen, Jing Wei, Jie Jiang, Xiao Lin, Ying Wang, Chun Hao, Wenjing Wu, Zhupei Yuan, Jie Sun, Han Wang, Zhicheng Du, Wangjian Zhang, Yuantao Hao
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Aishah Al-Jarallah, Fawzi A. Babiker
Pharmaceutics.2024; 16(4): 497. CrossRef
The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and prevalence of urinary stones in US adults: a cross-sectional NHANES study
Heng Liu, Yu Zhou, Mingchu Jin, Haidong Hao, Yutang Yuan, Hongtao Jia
International Urology and Nephrology.2024;[Epub] CrossRef
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Noor Nemia Hafed
European Journal of Theoretical and Applied Sciences.2024; 2(4): 538. CrossRef
Effects of cardiometabolic risk factors on blood pressure in outpatients at Sominé DOLO hospital, Mopti, Mali
Modibo Coulibaly, Adama Kondé, Djibril Traoré, Ousmane Bah, Valentin Sagara, Bakary Maiga
International Journal of Clinical Biochemistry and Research.2023; 10(1): 87. CrossRef
The association of lipid metabolism with bone metabolism and the role of human traits: a Mendelian randomization study
Jian Kang, Shuangli Zhao, Xize Wu, Can Wang, Zongkun Jiang, Shixuan Wang
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The role of different lipid measures for incident hypertension during more than 12-year follow-up: Tehran Lipid and Glucose Study
Amirreza Hadaegh, Samaneh Akbarpour, Maryam Tohidi, Niloofar Barzegar, Somayeh Hosseinpour-Niazi, Fereidoun Azizi, Farzad Hadaegh
British Journal of Nutrition.2022; 128(9): 1700. CrossRef
High Density Lipoprotein Reduces Blood Pressure and Protects Spontaneously Hypertensive Rats Against Myocardial Ischemia-Reperfusion Injury in an SR-BI Dependent Manner
Aishah Al-Jarallah, Fawzi Babiker
Frontiers in Cardiovascular Medicine.2022;[Epub] CrossRef
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广欣李
Advances in Clinical Medicine.2022; 12(09): 8266. CrossRef
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Epidemiology
Predictors of Incident Type 2 Diabetes Mellitus in Japanese Americans with Normal Fasting Glucose Level: You-Cheol Hwang, Wilfred Y. Fujimoto, Steven E. Kahn, Donna L. Leonetti, Edward J. Boyko; Diabetes Metab J. 2018;42(3):198-206. Published online April 25, 2018; DOI: https://doi.org/10.4093/dmj.2017.0100

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Background

Little is known about the natural course of normal fasting glucose (NFG) in Asians and the risk factors for future diabetes.

Methods

A total of 370 Japanese Americans (163 men, 207 women) with NFG levels and no history of diabetes, aged 34 to 75 years, were enrolled. Oral glucose tolerance tests were performed at baseline, 2.5, 5, and 10 years after enrollment.

Results

During 10 years of follow-up, 16.1% of participants met criteria for diabetes diagnosis, and 39.6% of subjects still had NFG levels at the time of diabetes diagnosis. During 5 years of follow-up, age (odds ratio [OR], 1.05; 95% confidence interval [CI], 1.01 to 1.10; P=0.026) and family history of diabetes (OR, 3.24; 95% CI, 1.42 to 7.40; P=0.005) were independently associated with future diabetes diagnosis; however, fasting glucose level was not an independent predictor. During 10 years of follow-up, family history of diabetes (OR, 2.76; 95% CI, 1.37 to 5.54; P=0.004), fasting insulin level (OR, 1.01; 95% CI, 1.00 to 1.02; P=0.037), and fasting glucose level (OR, 3.69; 95% CI, 1.13 to 12.01; P=0.030) were associated with diabetes diagnosis independent of conventional risk factors for diabetes.

Conclusion

A substantial number of subjects with NFG at baseline still remained in the NFG range at the time of diabetes diagnosis. A family history of diabetes and fasting insulin and glucose levels were associated with diabetes diagnosis during 10 years of follow-up; however, fasting glucose level was not associated with diabetes risk within the relatively short-term follow-up period of 5 years in subjects with NFG.

Citations

Citations to this article as recorded by

J-shape relationship between normal fasting plasma glucose and risk of type 2 diabetes in the general population: results from two cohort studies
Linfeng He, Wenbin Zheng, Zeyu Li, Lu Chen, Wen Kong, Tianshu Zeng
Journal of Translational Medicine.2023;[Epub] CrossRef
Fasting plasma glucose and risk of type 2 diabetes mellitus in a group of Chinese people with normoglycemia and without obesity
Ziqiong Wang, Zheng Liu, Sen He
Journal of Diabetes.2021; 13(7): 601. CrossRef
Hidden Risks behind Normal Fasting Glucose: Is It Significant?
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Editorial

Complications
Hypoglycemia: Culprit or Bystander?: You-Cheol Hwang; Diabetes Metab J. 2016;40(3):190-191. Published online June 20, 2016; DOI: https://doi.org/10.4093/dmj.2016.40.3.190

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Comparison of the Usefulness of the Updated Homeostasis Model Assessment (HOMA2) with the Original HOMA1 in the Prediction of Type 2 Diabetes Mellitus in Koreans: Young Seok Song, You-Cheol Hwang, Hong-Yup Ahn, Cheol-Young Park; Diabetes Metab J. 2016;40(4):318-325. Published online May 27, 2016; DOI: https://doi.org/10.4093/dmj.2016.40.4.318

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Background

The original homeostasis model assessment (HOMA1) and the updated HOMA model (HOMA2) have been used to evaluate insulin resistance (IR) and β-cell function, but little is known about the usefulness of HOMA2 for the prediction of diabetes in Koreans. The aim of this study was to demonstrate the usefulness of HOMA2 as a predictor of type 2 diabetes mellitus in Koreans without diabetes.

Methods

The study population consisted of 104,694 Koreans enrolled at a health checkup program and followed up from 2001 to 2012. Participants were divided into a normal glucose tolerance (NGT) group and a pre-diabetes group according to fasting glucose and glycosylated hemoglobin levels. Anthropometric and laboratory data were measured at the baseline checkup, and HOMA values were calculated at the baseline and follow-up checkups. The hazard ratios (HRs) of the HOMA1 and HOMA2 values and the prevalence of diabetes at follow-up were evaluated using a multivariable Cox proportional hazards model and Kaplan-Meier analysis.

Results

After adjusting for several diabetes risk factors, all of the HOMA values except 1/HOMA1-β and 1/HOMA2-β in the NGT group were significant predictors of the progression to diabetes. In the NGT group, there was no significant difference in HOMA1-IR (HR, 1.09; 95% confidence interval [CI], 1.04 to 1.14) and HOMA2-IR (HR, 1.11; 95% CI, 1.04 to 1.19). However, in the pre-diabetes group, 1/HOMA2-β was a more powerful marker (HR, 1.29; 95% CI, 1.26 to 1.31) than HOMA1-IR (HR, 1.23; 95% CI, 1.19 to 1.28) or 1/HOMA1-β (HR, 1.14; 95% CI, 1.12 to 1.16). In the non-diabetic group (NGT+pre-diabetes), 1/HOMA2-β was also a stronger predictor of diabetes (HR, 1.27; 95% CI, 1.25 to 1.29) than HOMA1-IR (HR, 1.14; 95% CI, 1.12 to 1.15) or 1/HOMA1-β (HR, 1.13; 95% CI, 1.11 to 1.14).

Conclusion

HOMA2 is more predictive than HOMA1 for the progression to diabetes in pre-diabetes or non-diabetic Koreans.

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Response

Response: Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database (Diabetes Metab J 2015;39:247-52): Sunghwan Suh, Gi Hyeon Seo, Chang Hee Jung, Mee-Kyoung Kim, Sang-Man Jin, You-Cheol Hwang, Byung-Wan Lee, Jae Hyeon Kim; Diabetes Metab J. 2015;39(4):350-351. Published online August 17, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.4.350

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Original Articles

Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database: Sunghwan Suh, Gi Hyeon Seo, Chang Hee Jung, Mee-Kyoung Kim, Sang-Man Jin, You-Cheol Hwang, Byung-Wan Lee, Jae Hyeon Kim; Diabetes Metab J. 2015;39(3):247-252. Published online April 22, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.3.247

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Abstract PDF PubReader

Background

We assessed the association of dipeptidyl peptidase 4 inhibitors (DPP4i) with hospitalization for heart failure (HF) using the Korean Health Insurance claims database.

Methods

We collected data on newly prescribed sitagliptin, vildagliptin, and pioglitazone between January 1, 2009 and December 31, 2012 (mean follow-up of 336.8 days) to 935,519 patients with diabetes (518,614 males and 416,905 females) aged 40 to 79 years (mean age of 59.4 years).

Results

During the study, 998 patients were hospitalized for primary HF (115.7 per 100,000 patient-years). The incidence rate of hospitalization for HF was 117.7 per 100,000 per patient-years among patients on pioglitazone, 105.7 for sitagliptin, and 135.8 for vildagliptin. The hospitalization rate for HF was greatest in the first 30 days after starting the medication, which corresponded to a significantly higher incidence at days 0 to 30 compared with days 31 to 360 for all three drugs. The hazard ratios were 1.85 (pioglitazone), 2.00 (sitagliptin), and 1.79 (vildagliptin). The incidence of hospitalization for HF did not differ between the drugs for any time period.

Conclusion

This study showed an increase in hospitalization for HF in the initial 30 days of the DPP4i and pioglitazone compared with the subsequent follow-up period. However, the differences between the drugs were not significant.

Citations

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Effects of antidiabetic drugs on left ventricular function/dysfunction: a systematic review and network meta-analysis
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Dipeptidyl peptidase-4 inhibitor compared with sulfonylurea in combination with metformin: cardiovascular and renal outcomes in a propensity-matched cohort study
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Kyoung Hwa Ha, Bongseong Kim, Hae Sol Shin, Jinhee Lee, Hansol Choi, Hyeon Chang Kim, Dae Jung Kim
Korean Circulation Journal.2018; 48(5): 395. CrossRef
Worsening Heart Failure During the Use of DPP-4 Inhibitors
Milton Packer
JACC: Heart Failure.2018; 6(6): 445. CrossRef
Resistance exercise improves cardiac function and mitochondrial efficiency in diabetic rat hearts
Tae Hee Ko, Jubert C. Marquez, Hyoung Kyu Kim, Seung Hun Jeong, SungRyul Lee, Jae Boum Youm, In Sung Song, Dae Yun Seo, Hye Jin Kim, Du Nam Won, Kyoung Im Cho, Mun Gi Choi, Byoung Doo Rhee, Kyung Soo Ko, Nari Kim, Jong Chul Won, Jin Han
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Do DPP-4 Inhibitors Cause Heart Failure Events by Promoting Adrenergically Mediated Cardiotoxicity?
Milton Packer
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Comparative safety for cardiovascular outcomes of DPP-4 inhibitors versus glimepiride in patients with type 2 diabetes
Hyouk-Jun Chin, Jin Hyun Nam, Eui-Kyung Lee, Ju-Young Shin
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Effects of dipeptidyl peptidase-4 inhibitor in insulin-resistant rats with myocardial infarction
Nattayaporn Apaijai, Tharnwimol Inthachai, Suree Lekawanvijit, Siriporn C Chattipakorn, Nipon Chattipakorn
Journal of Endocrinology.2016; 229(3): 245. CrossRef
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Christos V. Rizos, Anastazia Kei, Moses S. Elisaf
Archives of Toxicology.2016; 90(8): 1861. CrossRef
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Oxidative Medicine and Cellular Longevity.2016;[Epub] CrossRef
Lessons learned from cardiovascular outcome clinical trials with dipeptidyl peptidase 4 (DPP-4) inhibitors
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Letter: Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database (Diabetes Metab J2015;39:247-52)
Dae Ho Lee
Diabetes & Metabolism Journal.2015; 39(4): 348. CrossRef
Response: Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database (Diabetes Metab J2015;39:247-52)
Sunghwan Suh, Gi Hyeon Seo, Chang Hee Jung, Mee-Kyoung Kim, Sang-Man Jin, You-Cheol Hwang, Byung-Wan Lee, Jae Hyeon Kim
Diabetes & Metabolism Journal.2015; 39(4): 350. CrossRef
Cardiovascular, renal and gastrointestinal effects of incretin-based therapies: an acute and 12-week randomised, double-blind, placebo-controlled, mechanistic intervention trial in type 2 diabetes
Mark M Smits, Lennart Tonneijck, Marcel H A Muskiet, Trynke Hoekstra, Mark H H Kramer, Indra C Pieters, Djuna L Cahen, Michaela Diamant, Daniël H van Raalte
BMJ Open.2015; 5(11): e009579. CrossRef
Dipeptidyl Peptidase-4 Inhibitor Alarms: Is Heart Failure Caused by a Class Effect?
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Diabetes & Metabolism Journal.2015; 39(3): 204. CrossRef

Risk Factors for the Progression of Intima-Media Thickness of Carotid Arteries: A 2-Year Follow-Up Study in Patients with Newly Diagnosed Type 2 Diabetes: Sang Ouk Chin, Jin Kyung Hwang, Sang Youl Rhee, Suk Chon, You-Cheol Hwang, Seungjoon Oh, Kyu Jeung Ahn, Ho Yeon Chung, Jeong-taek Woo, Sung-Woon Kim, Young Seol Kim, Ja-Heon Kang, In-Kyung Jeong; Diabetes Metab J. 2013;37(5):365-374. Published online October 17, 2013; DOI: https://doi.org/10.4093/dmj.2013.37.5.365

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Abstract PDF Supplementary Material PubReader

Background

Intima-media thickness (IMT) of the carotid arteries is known to have a positive correlation with the risk of cardiovascular disease. This study was designed to identify risk factors affecting the progression of carotid IMT in patients with type 2 diabetes mellitus (T2DM).

Methods

Patients with newly diagnosed T2DM with carotid IMT measurements were enrolled, and their clinical data and carotid IMT results at baseline and 2 years later were compared.

Results

Of the 171 patients, 67.2% of males and 50.8% of females had abnormal baseline IMT of the left common carotid artery. At baseline, systolic blood pressure, body mass index and smoking in male participants, and fasting plasma glucose and glycated hemoglobin levels in females were significantly higher in patients with abnormal IMT than in those with normal IMT. Low density lipoprotein cholesterol (LDL-C) levels in males and high density lipoprotein cholesterol (HDL-C) levels in females at the 2-year follow-up were significantly different between the nonprogression and the progression groups. Reduction of the United Kingdom Prospective Diabetes Study (UKPDS) 10-year coronary heart disease (CHD) risk score after 2 years was generally higher in the nonprogression group than the progression group.

Conclusion

LDL-C levels in males and HDL-C levels in females at the 2-year follow-up were significantly different between participants with and without progression of carotid IMT. Furthermore, a reduction in the UKPDS 10-year CHD risk score appeared to delay the advancement of atherosclerosis. Therefore, the importance of establishing the therapeutic goal of lipid profiles should be emphasized to prevent the progression of carotid IMT in newly diagnosed T2DM patients.

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Tanefa A. Apekey, Maria J. Maynard, Monia Kittana, Setor K. Kunutsor
Nutrients.2022; 14(20): 4391. CrossRef
Nomogram Based on Risk Factors for Type 2 Diabetes Mellitus Patients with Coronary Heart Disease

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