Diabetes & Metabolism Journal

Original Articles

Lifestyle
Impact of Meal Frequency on Insulin Resistance in Middle-Aged and Older Adults: A Prospective Cohort Study: Ha-Eun Ryu, Jong Hee Lee, Byoungjin Park, Seok-Jae Heo, Yu-Jin Kwon; Received July 22, 2024 Accepted September 7, 2024 Published online November 13, 2024; DOI: https://doi.org/10.4093/dmj.2024.0407 [Epub ahead of print]

293 View
12 Download

Abstract PDF Supplementary Material PubReader ePub: Background
Insulin resistance (IR) is central to metabolic disorders and significantly influenced by diet. Studies on meal frequency (MF) and metabolic indicators have shown mixed results. This study explores the link between MF and IR in middle-aged and older adults.
Methods
This prospective cohort study included 4,570 adults aged 40 to 69 years from the Korean Genome and Epidemiologic Study. MF were divided into two groups based on whether they consumed three or more, or fewer than three, meals daily. IR was evaluated using the homeostasis model assessment of insulin resistance (HOMA-IR); participants were classified as IR if their HOMA-IR value was ≥2.5. Multiple Cox proportional hazard regression analyses were conducted to examine the association between MF and the incidence of IR.
Results
After adjusting for all variables, individuals in the MF ≥3 group showed a reduced incidence of IR compared to those in the MF <3 group (hazard ratio, 0.880; 95% confidence interval, 0.782 to 0.990). Additionally, subgroup analyses by sex, diabetes mellitus (DM), and body mass index (BMI) showed that this association persisted only in men, individuals without DM, and those with a BMI <25.
Conclusion
Our findings indicate that a higher MF among middle-aged and older adults is associated with a reduced incidence of IR. However, this association was maintained only in men, individuals without DM, and those without obesity.

Metabolic Risk/Epidemiology
Comparison of SPISE and METS-IR and Other Markers to Predict Insulin Resistance and Elevated Liver Transaminases in Children and Adolescents: Kyungchul Song, Eunju Lee, Hye Sun Lee, Hana Lee, Ji-Won Lee, Hyun Wook Chae, Yu-Jin Kwon; Received June 7, 2024 Accepted August 2, 2024 Published online October 29, 2024; DOI: https://doi.org/10.4093/dmj.2024.0302 [Epub ahead of print]

398 View
23 Download

Abstract PDF Supplementary Material PubReader ePub: Background
Studies on predictive markers of insulin resistance (IR) and elevated liver transaminases in children and adolescents are limited. We evaluated the predictive capabilities of the single-point insulin sensitivity estimator (SPISE) index, metabolic score for insulin resistance (METS-IR), homeostasis model assessment of insulin resistance (HOMA-IR), the triglyceride (TG)/ high-density lipoprotein cholesterol (HDL-C) ratio, and the triglyceride-glucose index (TyG) for IR and alanine aminotransferase (ALT) elevation in this population.
Methods
Data from 1,593 participants aged 10 to 18 years were analyzed using a nationwide survey. Logistic regression analysis was performed with IR and ALT elevation as dependent variables. Receiver operating characteristic (ROC) curves were generated to assess predictive capability. Proportions of IR and ALT elevation were compared after dividing participants based on parameter cutoff points.
Results
All parameters were significantly associated with IR and ALT elevation, even after adjusting for age and sex, and predicted IR and ALT elevation in ROC curves (all P<0.001). The areas under the ROC curve of SPISE and METS-IR were higher than those of TyG and TG/HDL-C for predicting IR and were higher than those of HOMA-IR, TyG, and TG/HDL-C for predicting ALT elevation. The proportions of individuals with IR and ALT elevation were higher among those with METS-IR, TyG, and TG/ HDL-C values higher than the cutoff points, whereas they were lower among those with SPISE higher than the cutoff point.
Conclusion
SPISE and METS-IR are superior to TG/HDL-C and TyG in predicting IR and ALT elevation. Thus, this study identified valuable predictive markers for young individuals.

Review

Cardiovascular Risk/Epidemiology
Artificial Light at Night and Type 2 Diabetes Mellitus: Jong-Ha Baek, Yong Zhu, Chandra L. Jackson, Yong-Moon Mark Park; Diabetes Metab J. 2024;48(5):847-863. Published online September 12, 2024; DOI: https://doi.org/10.4093/dmj.2024.0237

3,147 View
258 Download

Abstract PDF PubReader ePub: The widespread and pervasive use of artificial light at night (ALAN) in our modern 24-hour society has emerged as a substantial disruptor of natural circadian rhythms, potentially leading to a rise in unhealthy lifestyle-related behaviors (e.g., poor sleep; shift work). This phenomenon has been associated with an increased risk of type 2 diabetes mellitus (T2DM), which is a pressing global public health concern. However, to date, reviews summarizing associations between ALAN and T2DM have primarily focused on the limited characteristics of exposure (e.g., intensity) to ALAN. This literature review extends beyond prior reviews by consolidating recent studies from 2000 to 2024 regarding associations between both indoor and outdoor ALAN exposure and the incidence or prevalence of T2DM. We also described potential biological mechanisms through which ALAN modulates glucose metabolism. Furthermore, we outlined knowledge gaps and investigated how various ALAN characteristics beyond only light intensity (including light type, timing, duration, wavelength, and individual sensitivity) influence T2DM risk. Recognizing the detrimental impact of ALAN on sleep health and the behavioral correlates of physical activity and dietary patterns, we additionally summarized studies investigating the potential mediating role of each component in the relationship between ALAN and glucose metabolism. Lastly, we proposed implications of chronotherapies and chrononutrition for diabetes management in the context of ALAN exposure.

Original Article

Metabolic Risk/Epidemiology
A Prospective 1-Year Follow-up of Glycemic Status and C-Peptide Levels of COVID-19 Survivors with Dysglycemia in Acute COVID-19 Infection: David Tak Wai Lui, Chi Ho Lee, Ying Wong, Carol Ho Yi Fong, Kimberly Hang Tsoi, Yu Cho Woo, Kathryn Choon Beng Tan; Diabetes Metab J. 2024;48(4):763-770. Published online March 11, 2024; DOI: https://doi.org/10.4093/dmj.2023.0175

1,743 View
149 Download

Abstract PDF PubReader ePub: Background
We evaluated changes in glycemic status, over 1 year, of coronavirus disease 2019 (COVID-19) survivors with dysglycemia in acute COVID-19.
Methods
COVID-19 survivors who had dysglycemia (defined by glycosylated hemoglobin [HbA1c] 5.7% to 6.4% or random glucose ≥10.0 mmol/L) in acute COVID-19 were recruited from a major COVID-19 treatment center from September to October 2020. Matched non-COVID controls were recruited from community. The 75-g oral glucose tolerance test (OGTT) were performed at baseline (6 weeks after acute COVID-19) and 1 year after acute COVID-19, with HbA1c, insulin and C-peptide measurements. Progression in glycemic status was defined by progression from normoglycemia to prediabetes/diabetes, or prediabetes to diabetes.
Results
Fifty-two COVID-19 survivors were recruited. Compared with non-COVID controls, they had higher C-peptide (P< 0.001) and trend towards higher homeostasis model assessment of insulin resistance (P=0.065). Forty-three COVID-19 survivors attended 1-year reassessment. HbA1c increased from 5.5%±0.3% to 5.7%±0.2% (P<0.001), with increases in glucose on OGTT at fasting (P=0.089), 30-minute (P=0.126), 1-hour (P=0.014), and 2-hour (P=0.165). At baseline, 19 subjects had normoglycemia, 23 had prediabetes, and one had diabetes. Over 1 year, 10 subjects (23.8%; of 42 non-diabetes subjects at baseline) had progression in glycemic status. C-peptide levels remained unchanged (P=0.835). Matsuda index decreased (P=0.007) and there was a trend of body mass index increase from 24.4±2.7 kg/m² to 25.6±5.2 (P=0.083). Subjects with progression in glycemic status had more severe COVID-19 illness than non-progressors (P=0.030). Reassessment was not performed in the control group.
Conclusion
Subjects who had dysglycemia in acute COVID-19 were characterized by insulin resistance. Over 1 year, a quarter had progression in glycemic status, especially those with more severe COVID-19. Importantly, there was no significant deterioration in insulin secretory capacity.

Sulwon Lecture 2023

Metabolic Risk/Epidemiology
Insulin Resistance, Non-Alcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus: Clinical and Experimental Perspective: Inha Jung, Dae-Jeong Koo, Won-Young Lee; Diabetes Metab J. 2024;48(3):327-339. Published online February 2, 2024; DOI: https://doi.org/10.4093/dmj.2023.0350

4,281 View
478 Download
1 Web of Science
2 Crossref

Abstract PDF PubReader ePub

It has been generally accepted that insulin resistance (IR) and reduced insulin secretory capacity are the basic pathogenesis of type 2 diabetes mellitus (T2DM). In addition to genetic factors, the persistence of systemic inflammation caused by obesity and the associated threat of lipotoxicity increase the risk of T2DM. In particular, the main cause of IR is obesity and subjects with T2DM have a higher body mass index (BMI) than normal subjects according to recent studies. The prevalence of T2DM with IR has increased with increasing BMI during the past three decades. According to recent studies, homeostatic model assessment of IR was increased compared to that of the 1990s. Rising prevalence of obesity in Korea have contributed to the development of IR, non-alcoholic fatty liver disease and T2DM and cutting this vicious cycle is important. My colleagues and I have investigated this pathogenic mechanism on this theme through clinical and experimental studies over 20 years and herein, I would like to summarize some of our studies with deep gratitude for receiving the prestigious 2023 Sulwon Award.

Citations

Citations to this article as recorded by

Strategy for treating MAFLD: Electroacupuncture alleviates hepatic steatosis and fibrosis by enhancing AMPK mediated glycolipid metabolism and autophagy in T2DM rats
Haoru Duan, Shanshan Song, Rui Li, Suqin Hu, Shuting Zhuang, Shaoyang liu, Xiaolu Li, Wei Gao
Diabetology & Metabolic Syndrome.2024;[Epub] CrossRef
Metabolic Dysfunction-Associated Steatotic Liver Disease in Type 2 Diabetes Mellitus: A Review and Position Statement of the Fatty Liver Research Group of the Korean Diabetes Association
Jaehyun Bae, Eugene Han, Hye Won Lee, Cheol-Young Park, Choon Hee Chung, Dae Ho Lee, Eun-Hee Cho, Eun-Jung Rhee, Ji Hee Yu, Ji Hyun Park, Ji-Cheol Bae, Jung Hwan Park, Kyung Mook Choi, Kyung-Soo Kim, Mi Hae Seo, Minyoung Lee, Nan-Hee Kim, So Hun Kim, Won-
Diabetes & Metabolism Journal.2024; 48(6): 1015. CrossRef

Original Articles

Drug/Regimen
Pioglitazone as Add-on Therapy in Patients with Type 2 Diabetes Mellitus Inadequately Controlled with Dapagliflozin and Metformin: Double-Blind, Randomized, Placebo-Controlled Trial: Ji Hye Heo, Kyung Ah Han, Jun Hwa Hong, Hyun-Ae Seo, Eun-Gyoung Hong, Jae Myung Yu, Hye Seung Jung, Bong-Soo Cha; Diabetes Metab J. 2024;48(5):937-948. Published online February 2, 2024; DOI: https://doi.org/10.4093/dmj.2023.0314

6,276 View
460 Download
1 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
This study assessed the efficacy and safety of triple therapy with pioglitazone 15 mg add-on versus placebo in patients with type 2 diabetes mellitus (T2DM) inadequately controlled with metformin and dapagliflozin.
Methods
In this multicenter, double-blind, randomized, phase 3 study, patients with T2DM with an inadequate response to treatment with metformin (≥1,000 mg/day) plus dapagliflozin (10 mg/day) were randomized to receive additional pioglitazone 15 mg/day (n=125) or placebo (n=125) for 24 weeks. The primary endpoint was the change in glycosylated hemoglobin (HbA1c) levels from baseline to week 24 (ClinicalTrials.gov identifier: NCT05101135).
Results
At week 24, the adjusted mean change from baseline in HbA1c level compared with placebo was significantly greater with pioglitazone treatment (–0.47%; 95% confidence interval, –0.61 to –0.33; P<0.0001). A greater proportion of patients achieved HbA1c <7% or <6.5% at week 24 with pioglitazone compared to placebo as add-on to 10 mg dapagliflozin and metformin (56.8% vs. 28% for HbA1c <7%, and 23.2% vs. 9.6% for HbA1c <6.5%; P<0.0001 for all). The addition of pioglitazone also significantly improved triglyceride, highdensity lipoprotein cholesterol levels, and homeostatic model assessment of insulin resistance levels, while placebo did not. The incidence of treatment-emergent adverse events was similar between the groups, and the incidence of fluid retention-related side effects by pioglitazone was low (1.5%).
Conclusion
Triple therapy with the addition of 15 mg/day of pioglitazone to dapagliflozin plus metformin was well tolerated and produced significant improvements in HbA1c in patients with T2DM inadequately controlled with dapagliflozin plus metformin.

Citations

Citations to this article as recorded by

Ideal Combination of Oral Hypoglycemic Agents for Patients with Type 2 Diabetes Mellitus
Hye Soon Kim
Diabetes & Metabolism Journal.2024; 48(5): 882. CrossRef

Metabolic Risk/Epidemiology
Harnessing Metabolic Indices as a Predictive Tool for Cardiovascular Disease in a Korean Population without Known Major Cardiovascular Event: Hyun-Jin Kim, Byung Sik Kim, Yonggu Lee, Sang Bong Ahn, Dong Wook Kim, Jeong-Hun Shin; Diabetes Metab J. 2024;48(3):449-462. Published online February 1, 2024; DOI: https://doi.org/10.4093/dmj.2023.0197

2,447 View
227 Download
2 Web of Science
2 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
This study evaluated the usefulness of indices for metabolic syndrome, non-alcoholic fatty liver disease (NAFLD), and insulin resistance (IR), as predictive tools for cardiovascular disease in middle-aged Korean adults.
Methods
The prospective data obtained from the Ansan-Ansung cohort database, excluding patients with major adverse cardiac and cerebrovascular events (MACCE). The primary outcome was the incidence of MACCE during the follow-up period.
Results
A total of 9,337 patients were included in the analysis, of whom 1,130 (12.1%) experienced MACCE during a median follow-up period of 15.5 years. The metabolic syndrome severity Z-score, metabolic syndrome severity score, hepatic steatosis index, and NAFLD liver fat score were found to significantly predict MACCE at values above the cut-off point and in the second and third tertiles. Among these indices, the hazard ratios of the metabolic syndrome severity score and metabolic syndrome severity Z-score were the highest after adjusting for confounding factors. The area under the receiver operating characteristic curve (AUC) of the 10-year atherosclerotic cardiovascular disease (ASCVD) score for predicting MACCE was 0.716, and the metabolic syndrome severity Z-score had an AUC of 0.619.
Conclusion
The metabolic syndrome severity score is a highly reliable indicator and was closely associated with the 10-year ASCVD risk score in predicting MACCE in the general population. Given the specific characteristics and limitations of metabolic syndrome severity scores as well as the indices of NAFLD and IR, a more practical scoring system that considers these factors is essential to achieve greater accuracy in forecasting cardiovascular outcomes.

Citations

Citations to this article as recorded by

Association between mixed exposure to per- and polyfluoroalkyl substances and metabolic syndrome in Korean adults: Data from the Korean National environmental health survey cycle 4
Seung Min Chung, Kyun Hoo Kim, Jun Sung Moon, Kyu Chang Won
International Journal of Hygiene and Environmental Health.2024; 261: 114427. CrossRef
Estimated pulse wave velocity as a forefront indicator of developing metabolic syndrome in Korean adults
Hyun-Jin Kim, Byung Sik Kim, Dong Wook Kim, Jeong-Hun Shin
The Korean Journal of Internal Medicine.2024; 39(4): 612. CrossRef

Pathophysiology
Deficiency of ASGR1 Alleviates Diet-Induced Systemic Insulin Resistance via Improved Hepatic Insulin Sensitivity: Xiaorui Yu, Jiawang Tao, Yuhang Wu, Yan Chen, Penghui Li, Fan Yang, Miaoxiu Tang, Abdul Sammad, Yu Tao, Yingying Xu, Yin-Xiong Li; Diabetes Metab J. 2024;48(4):802-815. Published online February 1, 2024; DOI: https://doi.org/10.4093/dmj.2023.0124

2,199 View
129 Download

Abstract PDF Supplementary Material PubReader ePub: Background
Insulin resistance (IR) is the key pathological basis of many metabolic disorders. Lack of asialoglycoprotein receptor 1 (ASGR1) decreased the serum lipid levels and reduced the risk of coronary artery disease. However, whether ASGR1 also participates in the regulatory network of insulin sensitivity and glucose metabolism remains unknown.
Methods
The constructed ASGR1 knockout mice and ASGR1^-/- HepG2 cell lines were used to establish the animal model of metabolic syndrome and the IR cell model by high-fat diet (HFD) or drug induction, respectively. Then we evaluated the glucose metabolism and insulin signaling in vivo and in vitro.
Results
ASGR1 deficiency ameliorated systemic IR in mice fed with HFD, evidenced by improved insulin intolerance, serum insulin, and homeostasis model assessment of IR index, mainly contributed from increased insulin signaling in the liver, but not in muscle or adipose tissues. Meanwhile, the insulin signal transduction was significantly enhanced in ASGR1^-/- HepG2 cells. By transcriptome analyses and comparison, those differentially expressed genes between ASGR1 null and wild type were enriched in the insulin signal pathway, particularly in phosphoinositide 3-kinase-AKT signaling. Notably, ASGR1 deficiency significantly reduced hepatic gluconeogenesis and glycogenolysis.
Conclusion
The ASGR1 deficiency was consequentially linked with improved hepatic insulin sensitivity under metabolic stress, hepatic IR was the core factor of systemic IR, and overcoming hepatic IR significantly relieved the systemic IR. It suggests that ASGR1 is a potential intervention target for improving systemic IR in metabolic disorders.

Review

Pathophysiology
Primordial Drivers of Diabetes Heart Disease: Comprehensive Insights into Insulin Resistance: Yajie Fan, Zhipeng Yan, Tingting Li, Aolin Li, Xinbiao Fan, Zhongwen Qi, Junping Zhang; Diabetes Metab J. 2024;48(1):19-36. Published online January 3, 2024; DOI: https://doi.org/10.4093/dmj.2023.0110

6,004 View
283 Download
6 Web of Science
7 Crossref

Abstract PDF PubReader ePub

Insulin resistance has been regarded as a hallmark of diabetes heart disease (DHD). Numerous studies have shown that insulin resistance can affect blood circulation and myocardium, which indirectly cause cardiac hypertrophy and ventricular remodeling, participating in the pathogenesis of DHD. Meanwhile, hyperinsulinemia, hyperglycemia, and hyperlipidemia associated with insulin resistance can directly impair the metabolism and function of the heart. Targeting insulin resistance is a potential therapeutic strategy for the prevention of DHD. Currently, the role of insulin resistance in the pathogenic development of DHD is still under active research, as the pathological roles involved are complex and not yet fully understood, and the related therapeutic approaches are not well developed. In this review, we describe insulin resistance and add recent advances in the major pathological and physiological changes and underlying mechanisms by which insulin resistance leads to myocardial remodeling and dysfunction in the diabetic heart, including exosomal dysfunction, ferroptosis, and epigenetic factors. In addition, we discuss potential therapeutic approaches to improve insulin resistance and accelerate the development of cardiovascular protection drugs.

Citations

Citations to this article as recorded by

Association between METS-IR and heart failure: a cross-sectional study
Xiaozhou Su, Chunli Zhao, Xianwei Zhang
Frontiers in Endocrinology.2024;[Epub] CrossRef
Insulin–Heart Axis: Bridging Physiology to Insulin Resistance
Alfredo Caturano, Raffaele Galiero, Erica Vetrano, Celestino Sardu, Luca Rinaldi, Vincenzo Russo, Marcellino Monda, Raffaele Marfella, Ferdinando Carlo Sasso
International Journal of Molecular Sciences.2024; 25(15): 8369. CrossRef
The web of intrigue: unraveling the role of NETosis within the gut-microbiome-immune-heart axis in acute myocardial infarction and heart failure
Tai Yasuda, Kate Deans, Aditi Shankar, Robert Chilton
Cardiovascular Endocrinology & Metabolism.2024;[Epub] CrossRef
Relationship between the Mediterranean Diet and Vascular Function in Subjects with and without Increased Insulin Resistance
Marta Gómez-Sánchez, Leticia Gómez-Sánchez, Rocío Llamas-Ramos, Emiliano Rodríguez-Sánchez, Luis García-Ortiz, Ruth Martí-Lluch, María Cortés Rodríguez, Inés Llamas-Ramos, Manuel A. Gómez-Marcos
Nutrients.2024; 16(18): 3106. CrossRef
Iron homeostasis and ferroptosis in human diseases: mechanisms and therapeutic prospects
Qin Ru, Yusheng Li, Lin Chen, Yuxiang Wu, Junxia Min, Fudi Wang
Signal Transduction and Targeted Therapy.2024;[Epub] CrossRef
The Role of Insulin Within the Socio-Psycho-Biological Framework in Type 2 Diabetes—A Perspective from Psychoneuroimmunology
Anne Wevers, Silvia San Roman-Mata, Santiago Navarro-Ledesma, Leo Pruimboom
Biomedicines.2024; 12(11): 2539. CrossRef
Targeting Cardiac Fibrosis in Diabetic Heart Failure: The Role of the EZH2, AMPK, and PPAR-γ Pathways (Diabetes Metab J 2024;48:716-29)
Jooyeop Lee, Joon Ho Moon
Diabetes & Metabolism Journal.2024; 48(6): 1176. CrossRef

Original Articles

Drug/Regimen
Comparative Efficacy of Rosuvastatin Monotherapy and Rosuvastatin/Ezetimibe Combination Therapy on Insulin Sensitivity and Vascular Inflammatory Response in Patients with Type 2 Diabetes Mellitus: Ji Hye Han, Kyong Hye Joung, Jun Choul Lee, Ok Soon Kim, Sorim Choung, Ji Min Kim, Yea Eun Kang, Hyon-Seung Yi, Ju Hee Lee, Bon Jeong Ku, Hyun Jin Kim; Diabetes Metab J. 2024;48(1):112-121. Published online January 3, 2024; DOI: https://doi.org/10.4093/dmj.2022.0402

4,991 View
415 Download
4 Web of Science
4 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Type 2 diabetes mellitus (T2DM) induces endothelial dysfunction and inflammation, which are the main factors for atherosclerosis and cardiovascular disease. The present study aimed to compare the effects of rosuvastatin monotherapy and rosuvastatin/ezetimibe combination therapy on lipid profile, insulin sensitivity, and vascular inflammatory response in patients with T2DM.
Methods
A total of 101 patients with T2DM and dyslipidemia were randomized to either rosuvastatin monotherapy (5 mg/day, n=47) or rosuvastatin/ezetimibe combination therapy (5 mg/10 mg/day, n=45) and treated for 12 weeks. Serum lipids, glucose, insulin, soluble intercellular adhesion molecule-1 (sICAM-1), and peroxiredoxin 4 (PRDX4) levels were determined before and after 12 weeks of treatment.
Results
The reduction in low density lipoprotein cholesterol (LDL-C) by more than 50% from baseline after treatment was more in the combination therapy group. The serum sICAM-1 levels increased significantly in both groups, but there was no difference between the two groups. The significant changes in homeostasis model assessment of insulin resistance (HOMA-IR) and PRDX4 were confirmed only in the subgroup in which LDL-C was reduced by 50% or more in the combination therapy group. However, after adjusting for diabetes mellitus duration and hypertension, the changes in HOMA-IR and PRDX4 were not significant between the two groups.
Conclusion
Although rosuvastatin/ezetimibe combination therapy had a greater LDL-C reduction effect than rosuvastatin monotherapy, it had no additional effects on insulin sensitivity and vascular inflammatory response. Further studies are needed on the effect of long-term treatment with ezetimibe on insulin sensitivity and vascular inflammatory response.

Citations

Citations to this article as recorded by

Combining Ezetimibe and Rosuvastatin: Impacts on Insulin Sensitivity and Vascular Inflammation in Patients with Type 2 Diabetes Mellitus
Eun Roh
Diabetes & Metabolism Journal.2024; 48(1): 55. CrossRef
Does Rosuvastatin/Ezetimibe Combination Therapy Offer Potential Benefits for Glucose Metabolism beyond Lipid-Lowering Efficacy in T2DM?
Il Rae Park, Jun Sung Moon
Diabetes & Metabolism Journal.2024; 48(3): 387. CrossRef
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
Cureus.2024;[Epub] CrossRef
The Pleiotropic Effects of Lipid-Modifying Interventions: Exploring Traditional and Emerging Hypolipidemic Therapies
Dimitris Kounatidis, Nikolaos Tentolouris, Natalia G. Vallianou, Iordanis Mourouzis, Irene Karampela, Theodora Stratigou, Eleni Rebelos, Marina Kouveletsou, Vasileios Stamatopoulos, Eleni Tsaroucha, Maria Dalamaga
Metabolites.2024; 14(7): 388. CrossRef

Basic Research
A New Concept in Antidiabetic Therapeutics: A Concerted Removal of Labile Iron and Intracellular Deposition of Zinc: Vladimir Vinokur, Eduard Berenshtein, Mordechai Chevion, Dror Chevion; Diabetes Metab J. 2024;48(1):59-71. Published online January 3, 2024; DOI: https://doi.org/10.4093/dmj.2022.0292; Retraction in: Diabetes Metab J 2024;48(2):325

2,948 View
178 Download
2 Web of Science
1 Crossref

Basic Research
Long Non-Coding RNA TUG1 Attenuates Insulin Resistance in Mice with Gestational Diabetes Mellitus via Regulation of the MicroRNA-328-3p/SREBP-2/ERK Axis: Xuwen Tang, Qingxin Qin, Wenjing Xu, Xuezhen Zhang; Diabetes Metab J. 2023;47(2):267-286. Published online January 19, 2023; DOI: https://doi.org/10.4093/dmj.2021.0216

4,293 View
216 Download
7 Web of Science
7 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Long non-coding RNAs (lncRNAs) have been illustrated to contribute to the development of gestational diabetes mellitus (GDM). In the present study, we aimed to elucidate how lncRNA taurine upregulated gene 1 (TUG1) influences insulin resistance (IR) in a high-fat diet (HFD)-induced mouse model of GDM.
Methods
We initially developed a mouse model of HFD-induced GDM, from which islet tissues were collected for RNA and protein extraction. Interactions among lncRNA TUG1/microRNA (miR)-328-3p/sterol regulatory element binding protein 2 (SREBP-2) were assessed by dual-luciferase reporter assay. Fasting blood glucose (FBG), fasting insulin (FINS), homeostasis model assessment of insulin resistance (HOMA-IR), HOMA pancreatic β-cell function (HOMA-β), insulin sensitivity index for oral glucose tolerance tests (ISOGTT) and insulinogenic index (IGI) levels in mouse serum were measured through conducting gain- and loss-of-function experiments.
Results
Abundant expression of miR-328 and deficient expression of lncRNA TUG1 and SREBP-2 were characterized in the islet tissues of mice with HFD-induced GDM. LncRNA TUG1 competitively bound to miR-328-3p, which specifically targeted SREBP-2. Either depletion of miR-328-3p or restoration of lncRNA TUG1 and SREBP-2 reduced the FBG, FINS, HOMA-β, and HOMA-IR levels while increasing ISOGTT and IGI levels, promoting the expression of the extracellular signal-regulated kinase (ERK) signaling pathway-related genes, and inhibiting apoptosis of islet cells in GDM mice. Upregulation miR-328-3p reversed the alleviative effects of SREBP-2 and lncRNA TUG1 on IR.
Conclusion
Our study provides evidence that the lncRNA TUG1 may prevent IR following GDM through competitively binding to miR-328-3p and promoting the SREBP-2-mediated ERK signaling pathway inactivation.

Citations

Citations to this article as recorded by

Diabetes and diabetic associative diseases: An overview of epigenetic regulations of TUG1
Mohammed Ageeli Hakami
Saudi Journal of Biological Sciences.2024; 31(5): 103976. CrossRef
Expression and Regulatory Ability of Long Non-Coding RNADLX6 Antisense RNA 1 in Gestational Diabetes Mellitus
Qiuhong Huang, Lichun Tang, Xiaohui Meng, Meiling Wen, Yin Qin, Jingjing Liu, Xuanxuan Luo, Rong Liang, Xia Dai
Clinical and Experimental Obstetrics & Gynecology.2024;[Epub] CrossRef
Chemerin alleviates the placental oxidative stress and improves fetal overgrowth of gestational diabetes mellitus mice induced by high fat diet
Xuan Zhou, Yi Jiang, Zizhuo Wang, Lijie Wei, Huiting Zhang, Chenyun Fang, Shenglan Zhu, Yuanyuan Du, Rui Su, Weikun Li, Zhenzhen He, Liangnan Zhang, Weidong Tan, Mengzhou He, Jun Yu, Shaoshuai Wang, Wencheng Ding, Ling Feng
Molecular Medicine.2024;[Epub] CrossRef
Effect of Tinospora cordifolia on gestational diabetes mellitus and its complications
Ritu Rani, Havagiray Chitme, Avinash Kumar Sharma
Women & Health.2023; 63(5): 359. CrossRef
Therapeutic Effect of Tinospora cordifolia (Willd) Extracts on Letrozole-Induced Polycystic Ovarian Syndrome and its Complications in Murine Model
Ritu Rani, Avinash Kumar Sharma, Havagiray R Chitme
Clinical Medicine Insights: Endocrinology and Diabetes.2023;[Epub] CrossRef
The role of ncRNA regulatory mechanisms in diseases—case on gestational diabetes
Dong Gao, Liping Ren, Yu-Duo Hao, Nalini Schaduangrat, Xiao-Wei Liu, Shi-Shi Yuan, Yu-He Yang, Yan Wang, Watshara Shoombuatong, Hui Ding
Briefings in Bioinformatics.2023;[Epub] CrossRef
lncRNA TUG1 as Potential Novel Biomarker for Prognosis of Cardiovascular Diseases
Habib Haybar, Narjes Sadat Sadati, Daryush Purrahman, Mohammad Reza Mahmoudian-Sani, Najmaldin Saki
Epigenomics.2023; 15(23): 1273. CrossRef

Short Communication

Others
Comparison of Insulin-Treated Patients with Ambiguous Diabetes Type with Definite Type 1 and Type 2 Diabetes Mellitus Subjects: A Clinical Perspective: Insa Laspe, Juris J. Meier, Michael A. Nauck; Diabetes Metab J. 2023;47(1):140-146. Published online March 22, 2022; DOI: https://doi.org/10.4093/dmj.2021.0322

65,535 View
207 Download

Abstract PDF Supplementary Material PubReader ePub: In clinical practice, the distinction between type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) can be challenging, leaving patients with “ambiguous” diabetes type. Insulin-treated patients (n=115) previously diagnosed with T2DM had to be re-classified based on clinical phenotype and laboratory results, and were operationally defined as having an ambiguous diabetes type. They were compared against patients with definite T1DM and T2DM regarding 12 clinical and laboratory features typically different between diabetes types. Characteristics of patients with ambiguous diabetes type, representing approximately 6% of all patients with T1DM or T2DM seen at our specialized clinic, fell in between those of patients with definite T1DM and T2DM, both regarding individual features and with respect to a novel classification based on multi-variable regression analysis (P<0.0001). In conclusion, a substantial proportion of diabetes patients in a tertiary care centre presented with an “ambiguous” diabetes type. Their clinical characteristics fall in between those of definite T1DM or T2DM patients.

Original Articles

Metabolic Risk/Epidemiology
Normalized Creatinine-to-Cystatin C Ratio and Risk of Diabetes in Middle-Aged and Older Adults: The China Health and Retirement Longitudinal Study: Shanhu Qiu, Xue Cai, Bo Xie, Yang Yuan, Zilin Sun, Tongzhi Wu; Diabetes Metab J. 2022;46(3):476-485. Published online March 7, 2022; DOI: https://doi.org/10.4093/dmj.2021.0074

6,168 View
226 Download
11 Web of Science
11 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Creatinine-to-cystatin C ratio is recently suggested to be a surrogate marker for sarcopenia. However, little is known about its association with diabetes. This study aimed to fill in this gap based on a large-scale prospective cohort.
Methods
A population-based representative sample of 5,055 participants aged ≥45 years from the China Health and Retirement Longitudinal Study was enrolled between 2011 and 2012 and followed at least once during the subsequent surveys at 2013, 2015, or 2018. Creatinine-to-cystatin C ratio was calculated and normalized by body weight. Incident diabetes was ascertained by plasma glucose, glycosylated hemoglobin, self-reported history, or use of anti-diabetic drugs. Logistic regression analysis and mediation analysis were employed.
Results
During follow-up, 634 participants developed diabetes. The risk of diabetes was gradually and significantly decreased with increased normalized creatinine–cystatin C ratio. The multivariable-adjusted odds ratio for diabetes was 0.91 (95% confidence interval, 0.83 to 0.99) per 1 standard deviation higher of normalized creatinine-to-cystatin C ratio, and this relationship remained significant after controlling for muscle strength. The risk reduction in diabetes was significantly larger in participants with normal-weight and high normalized creatinine-to-cystatin C ratio compared with those with overweight/obesity and high normalized creatinine-to-cystatin C ratio (P_interaction=0.01). Insulin resistance and inflammation appeared to be key mediators accounting for the observed relationship between normalized creatinine-to-cystatin C ratio and risk of diabetes, with their mediating effect being 93.1% and 22.0%, respectively.
Conclusion
High normalized creatinine-to-cystatin C ratio is associated with reduced risk of diabetes in middle-aged and older adults.

Citations

Citations to this article as recorded by

Muscle Quality in Relation to Prediabetes Phenotypes: A Population-Based Study With Mediation Analysis
Shanhu Qiu, Xue Cai, Xiaoying Zhou, Jinshui Xu, Zilin Sun, Haijian Guo, Tongzhi Wu
The Journal of Clinical Endocrinology & Metabolism.2024; 109(3): e1151. CrossRef
Sex‐specific associations between skeletal muscle mass and incident diabetes: A population‐based cohort study
Dan Liu, Nan Li, Yiling Zhou, Miye Wang, Peige Song, Changzheng Yuan, Qingyang Shi, Hui Chen, Kaixin Zhou, Huan Wang, Tao Li, Xiong‐Fei Pan, Haoming Tian, Sheyu Li
Diabetes, Obesity and Metabolism.2024; 26(3): 820. CrossRef
Diabetes Mellitus Should Be Considered While Analysing Sarcopenia-Related Biomarkers
Justyna Rentflejsz, Zyta Beata Wojszel
Journal of Clinical Medicine.2024; 13(4): 1107. CrossRef
Associations of muscle mass and strength with new-onset diabetes among middle-aged and older adults: evidence from the China health and retirement longitudinal study (CHARLS)
Yun-Yun He, Mei-Ling Jin, Xiang-Yang Fang, Xiao-Juan Wang
Acta Diabetologica.2024; 61(7): 869. CrossRef
Lower serum creatinine to cystatin C ratio associated with increased incidence of frailty in community-dwelling elderly men but not in elderly women
Shixian Zhou, Peixia Wang, Linlin Sun, Xinxiu Zhao, Caixia Gong, Yichen Yang, Wen Ren, Yunmei Yang, Qin Zhang, JingJin Jiang
Aging Clinical and Experimental Research.2024;[Epub] CrossRef
Creatinine-to-cystatin C ratio and frailty in older adults: a longitudinal cohort study
Quhong Song, Taiping Lin, Rui Liang, Yanli Zhao, Ning Ge, Jirong Yue
BMC Geriatrics.2024;[Epub] CrossRef
Sex difference in the association between creatinine-to-cystatin C ratio and metabolic syndrome among Chinese adults
Jo-Hsuan Chen, Jau-Yuan Chen, Yi-Chuan Chen, Wen-Cheng Li
Frontiers in Endocrinology.2024;[Epub] CrossRef
Sex and Age Influence the Relationship Between Serum Creatinine/Cystatin C and Carotid Plaque in Patients With Type 2 Diabetes Mellitus
Dan Yang, Kexin Li, Qiujuan Zhang, Tian Yu, Ling Liu, You Wang, Shuyuan Kang, Shumiao Song, Baofeng Xu, Rui Liu
Angiology.2024;[Epub] CrossRef
The serum creatinine to cystatin C to waist circumference ratios predicts risk for type 2 diabetes: A Chinese cohort study
Yinfei Chen, Weiheng Wen, Zhiliang Mai, Ming Wang, Hong Chen, Jia Sun
Journal of Diabetes.2023; 15(10): 808. CrossRef
Associations of sarcopenia with peak expiratory flow among community-dwelling elderly population: based on the China Health and Retirement Longitudinal Study (CHARLS)
Yun-Yun He, Mei-Ling Jin, Jing Chang, Xiao-Juan Wang
European Geriatric Medicine.2023; 15(1): 95. CrossRef
Additive impact of diabetes and sarcopenia on all-cause and cardiovascular mortality: A longitudinal nationwide population-based study
Eyun Song, Soon Young Hwang, Min Jeong Park, Ahreum Jang, Kyeong Jin Kim, Ji Hee Yu, Nam Hoon Kim, Hye Jin Yoo, Ji A. Seo, Sin Gon Kim, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi
Metabolism.2023; 148: 155678. CrossRef

Metabolic Risk/Epidemiology
Iron Overload and the Risk of Diabetes in the General Population: Results of the Chinese Health and Nutrition Survey Cohort Study: He Gao, Jinying Yang, Wenfei Pan, Min Yang; Diabetes Metab J. 2022;46(2):307-318. Published online March 7, 2022; DOI: https://doi.org/10.4093/dmj.2020.0287

6,487 View
240 Download
18 Web of Science
19 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Recent studies have found that there are significant associations between body iron status and the development of diabetes. In the present study, we aimed to analyze the association among iron overload (IO), insulin resistance (IR), and diabetes in Chinese adults, and to explore the sex difference.
Methods
Men and women (age >19 years) who participated in the Chinese Health and Nutrition Survey and did not have diabetes at baseline were followed between 2009 and 2015 (n=5,779). Over a mean of 6 years, 75 participants were diagnosed with incident diabetes. Logistic regression was used to assess the risk factors associated with IO. Cox proportional hazard regression was used to estimate the risk of incident diabetes and to determine whether the risk differed among subgroups. Causal mediation analysis (CMA) was used to explore the mechanism linking IO and diabetes.
Results
According to sex-stratified multivariable-adjusted Cox proportional hazards regression, IO increased the risk of incident diabetes. Women with IO had a higher risk of diabetes than men. Subgroup analysis with respect to age showed that the association between IO and diabetes was stronger in older women and younger men (P<0.001). CMA showed that liver injury (alanine transaminase) and lipid metabolism abnormalities (triglyceride, apolipoprotein B) contributed to the association between IO and diabetes.
Conclusion
IO is associated with diabetes and this association is sex-specific. IO may indirectly induce IR via liver injury and lipid metabolism abnormalities, resulting in diabetes.

Citations

Citations to this article as recorded by

Role of nutrition in diabetes mellitus and infections
Xue-Lu Yu, Li-Yun Zhou, Xiao Huang, Xin-Yue Li, Ming-Ke Wang, Ji-Shun Yang
World Journal of Clinical Cases.2025;[Epub] CrossRef
Micronutrient Patterns and Low Intake of Vitamin A, Vitamin D, Folate, Magnesium, and Potassium Among Prediabetes and Type 2 Diabetes Patients
Oana C Iatcu, Andrei Lobiuc, Mihai Covasa
Cureus.2024;[Epub] CrossRef
The levels, single and multiple health risk assessment of 23 metals in enteral nutrition formulas
Burhan Basaran, Hulya Turk
Food and Chemical Toxicology.2024; 192: 114914. CrossRef
Quantitative susceptibility mapping for iron monitoring of multiple subcortical nuclei in type 2 diabetes mellitus: a systematic review and meta-analysis
Sana Mohammadi, Sadegh Ghaderi, Fatemeh Sayehmiri, Mobina Fathi
Frontiers in Endocrinology.2024;[Epub] CrossRef
Iron Overload Induces Hepatic Ferroptosis and Insulin Resistance by Inhibiting the Jak2/stat3/slc7a11 Signaling Pathway
Manqiu Mo, Ling Pan, Ling Deng, Min Liang, Ning Xia, Yuzhen Liang
Cell Biochemistry and Biophysics.2024; 82(3): 2079. CrossRef
Diatom Chaetoceros Sp. as an Efficient Biological Antidote in Iron Toxicity: In‐Vitro and In‐Vivo Experiments
Zeinab Janahmadi, Shadi Talebi, Fatemeh Farjadian, Safieh Momeni
ChemistrySelect.2024;[Epub] CrossRef
Endogenous iron biomineralization in the mouse spleen of metabolic diseases
Ruowen Guo, Lei Zhang, Dongsheng Song, Biao Yu, Chao Song, Hanxiao Chen, Wenjing Xie, Chuanlin Feng, Guofeng Cheng, Kejun Hu, Jialiang Jiang, Zhe Qu, Haifeng Du, Xin Zhang
Fundamental Research.2024;[Epub] CrossRef
The Association Between Dietary Iron, the SNP of the JAZF1 rs864745, and Glucose Metabolism in a Chinese Population
Zihan Hu, Hongwei Liu, Baozhang Luo, Chunfeng Wu, Changyi Guo, Zhengyuan Wang, Jiajie Zang, Fan Wu, Zhenni Zhu
Nutrients.2024; 16(22): 3831. CrossRef
Plasma Ferritin Concentrations in the General Population: A Cross-Sectional Analysis of Anthropometric, Metabolic, and Dietary Correlates
Cara Övermöhle, Sabina Waniek, Gerald Rimbach, Katharina Susanne Weber, Wolfgang Lieb
The Journal of Nutrition.2023; 153(5): 1524. CrossRef
Association of Body Iron Metabolism with Type 2 Diabetes Mellitus in Chinese Women of Childbearing Age: Results from the China Adult Chronic Disease and Nutrition Surveillance (2015)
Jie Feng, Xiaoyun Shan, Lijuan Wang, Jiaxi Lu, Yang Cao, Lichen Yang
Nutrients.2023; 15(8): 1935. CrossRef
Iron overload induces islet β cell ferroptosis by activating ASK1/P-P38/CHOP signaling pathway
Ling Deng, Man-Qiu Mo, Jinling Zhong, Zhengming Li, Guoqiao Li, Yuzhen Liang
PeerJ.2023; 11: e15206. CrossRef
The role of ferroptosis in metabolic diseases
Ling Xie, Bin Fang, Chun Zhang
Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.2023; 1870(6): 119480. CrossRef
Epidemiological and transcriptome data identify potential key genes involved in iron overload for type 2 diabetes
Xuekui Liu, Xiu Hong, Shiqiang Jiang, Rui Li, Qian Lv, Jie Wang, Xiuli Wang, Manqing Yang, Houfa Geng, Yang Li
Diabetology & Metabolic Syndrome.2023;[Epub] CrossRef
Association between serum iron and liver transaminases based on a large adult women population
Andong He, Zhuoping Zhou, Lili Huang, Ka Cheuk Yip, Jing Chen, Ruiling Yan, Ruiman Li
Journal of Health, Population and Nutrition.2023;[Epub] CrossRef
Association between serum ferritin and uric acid levels and nonalcoholic fatty liver disease in the Chinese population
Fangli Zhou, Xiaoli He, Dan Liu, Yan Ye, Haoming Tian, Li Tian
PeerJ.2023; 11: e16267. CrossRef
The Role of Iron Overload in Diabetic Cognitive Impairment: A Review
Ji-Ren An, Qing-Feng Wang, Gui-Yan Sun, Jia-Nan Su, Jun-Tong Liu, Chi Zhang, Li Wang, Dan Teng, Yu-Feng Yang, Yan Shi
Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 3235. CrossRef
The Association Between METS-IR and Serum Ferritin Level in United States Female: A Cross-Sectional Study Based on NHANES
Han Hao, Yan Chen, Ji Xiaojuan, Zhang Siqi, Chu Hailiang, Sun Xiaoxing, Wang Qikai, Xing Mingquan, Feng Jiangzhou, Ge Hongfeng
Frontiers in Medicine.2022;[Epub] CrossRef
Research Progress on Relationship Between Iron Overload and Lower Limb Arterial Disease in Type 2 Diabetes Mellitus
Zhongjing Wang, Shu Fang, Sheng Ding, Qin Tan, Xuyan Zhang
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 2259. CrossRef
Iron deficiency in cardiac surgical patients
L Hof, O Old, A.U. Steinbicker, P Meybohm, S Choorapoikayil, K Zacharowski
Acta Anaesthesiologica Belgica.2022; 73(4): 235. CrossRef

First
Prev
Page of 11
Next
Last

Search