Endocrinology and Metabolism

Original Articles

Antilipolytic Insulin Sensitivity Indices Measured during an Oral Glucose Challenge: Associations with Insulin-Glucose Clamp and Central Adiposity in Women without Diabetes: Foued Naimi, Christophe Richer dit Laflèche, Marie-Claude Battista, André C. Carpentier, Jean-Patrice Baillargeon; Received August 3, 2024 Accepted January 21, 2025 Published online March 18, 2025; DOI: https://doi.org/10.3803/EnM.2024.2129 [Epub ahead of print]

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Abstract PDF PubReader ePub: Background
Tissue overexposure to non-esterified fatty acids (NEFA) contributes to the development of metabolic conditions, with insulin-mediated suppression of lipolysis being an important mechanism in limiting this overexposure. We investigated which dynamic NEFA insulin-suppression indices derived from the oral glucose tolerance test (OGTT) were best associated with those derived from the insulin-glucose clamp, as well as with central adiposity and glucoregulatory parameters.
Methods
This cross-sectional study recruited 29 women without diabetes, 15 healthy women, and 14 women with polycystic ovary syndrome. The OGTT indices of NEFA insulin-suppression were the decremental NEFA area under the curve, negative log-linear NEFA slope, percentage of NEFA suppression (%NEFA_supp) and time to suppress NEFA levels by 50% (T50_NEFA). The indices derived from the two-step euglycemic-hyperinsulinemic clamp (low-dose insulin step) were delta NEFA and %NEFA_supp.
Results
Among the OGTT and clamp indices, T50_NEFA[OGTT] and %NEFA_supp[clamp] showed the closest associations in both subgroups (r=–0.58). Additionally, T50_NEFA correlated significantly in all women with waist circumference (r=0.64), body fat percentage (r=0.60), fasting insulinemia (r=0.53), and M-value insulin sensitivity index (r=–0.45). Similarly, %NEFA_supp[clamp] correlated significantly in all women with waist circumference (r=–0.57), body fat percentage (r=–0.54), fasting insulinemia (r=–0.55), and M-value insulin sensitivity index (r=0.51). T50_NEFA and %NEFA_supp[clamp] also correlated with other anthropometric and metabolic parameters associated with lipotoxicity.
Conclusion
For dynamic testing of NEFA insulin-suppression in women, T50_NEFA was the OGTT-derived index best correlated with a clamp index (%NEFA_supp). These indices were also the most closely associated with anthropometric and glucoregulatory parameters. Thus, the OGTT-derived T50_NEFA appears valid for assessing dynamic antilipolytic insulin action.

Association between the Triglyceride-Glucose Index and Cardiovascular Risk and Mortality across Different Diabetes Durations: A Nationwide Cohort Study: Jeongeun Kwak, Kyung-Do Han, Eun Young Lee, Seung-Hwan Lee, Dong-Jun Lim, Hyuk-Sang Kwon, Jeongmin Lee; Received October 15, 2024 Accepted January 3, 2025 Published online March 5, 2025; DOI: https://doi.org/10.3803/EnM.2024.2205 [Epub ahead of print]

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We aimed to assess the association between triglyceride-glucose (TyG) index and cardiovascular disease (CVD) risk and mortality in a large cohort of diabetes patients.
Methods
A retrospective cohort study of 1,090,485 participants from the Korean National Health Insurance Service database was conducted. Participants were stratified into TyG quartiles.
Results
Higher TyG index quartiles were significantly associated with an increased CVD risk and mortality risk. In fully adjusted models, participants in the highest TyG quartile (Q4) had an 18% higher risk of CVD (hazard ratio [HR], 1.18; 95% confidence interval [CI], 1.13 to 1.23) and a 16% higher risk of mortality (HR, 1.16; 95% CI, 1.11 to 1.23) compared to those in the lowest quartile (Q1). The association was particularly pronounced in patients with fasting glucose ≥126 mg/dL (CVD [HR, 1.33; 95% CI, 1.29 to 1.37], mortality [HR, 1.23; 95% CI, 1.20 to 1.26]; P for interaction <0.001). Patients with a diabetes duration of ≥10 years showed the strongest association between the TyG index and CVD risk (HR, 1.44; 95% CI, 1.38 to 1.50), while the mortality risk was particularly elevated in those with a diabetes duration of less than 5 years (HR, 1.23; 95% CI, 1.18 to 1.30). Subgroup analyses revealed stronger associations between TyG index and CVD risk in younger participants, non-obese individuals, and non-smokers.
Conclusion
The TyG index is a significant predictor of CVD and mortality in diabetic patients, particularly in those with poor glycemic control or longer disease duration.

Review Article

Diabetes, obesity and metabolism
Evolving Characteristics of Type 2 Diabetes Mellitus in East Asia: Joonyub Lee, Kun-Ho Yoon; Endocrinol Metab. 2025;40(1):57-63. Published online January 15, 2025; DOI: https://doi.org/10.3803/EnM.2024.2193

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Abstract PDF PubReader ePub: In East Asians, type 2 diabetes mellitus (T2DM) is primarily characterized by significant defects in insulin secretion and comparatively low insulin resistance. Recently, the prevalence of T2DM has rapidly increased in East Asian countries, including Korea, occurring concurrently with rising obesity rates. This trend has led to an increase in the average body mass index among East Asian T2DM patients, highlighting the influence of insulin resistance in the development of T2DM within this group. Currently, the incidence of T2DM in Korea is declining, which may indicate potential adaptive changes in insulin secretory capacity. This review focuses on the changing epidemiology of T2DM in East Asia, with a particular emphasis on the characteristics of peak functional β-cell mass.

Original Articles

Metabolic Phenotypes of Women with Gestational Diabetes Mellitus Affect the Risk of Adverse Pregnancy Outcomes: Joon Ho Moon, Sookyung Won, Hojeong Won, Heejun Son, Tae Jung Oh, Soo Heon Kwak, Sung Hee Choi, Hak Chul Jang; Received July 10, 2024 Accepted September 23, 2024 Published online November 28, 2024; DOI: https://doi.org/10.3803/EnM.2024.2089 [Epub ahead of print]

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Background
Gestational diabetes mellitus (GDM) affects women with diverse pathological phenotypes, but little is known about the effects of this variation on perinatal outcomes. We explored the metabolic phenotypes of GDM and their impact on adverse pregnancy outcomes.
Methods
Women diagnosed with gestational glucose intolerance or GDM were categorized into subgroups according to their prepregnancy body mass index (BMI) and the median values of the gestational Matsuda and Stumvoll indices. Logistic regression analysis was employed to assess the odds of adverse pregnancy outcomes, such as large-for-gestational age (LGA), small-for-gestational age, preterm birth, low Apgar score, and cesarean section.
Results
A total of 309 women were included, with a median age of 31 years and a median BMI of 22.3 kg/m². Women with a higher pre-pregnancy BMI had a higher risk of LGA newborns (adjusted odds ratio [aOR] for pre-pregnancy BMI ≥25 kg/m² compared to 20–23 kg/m², 4.26; 95% confidence interval [CI], 1.99 to 9.12; P<0.001; P for trend=0.001), but the risk of other adverse pregnancy outcomes did not differ according to pre-pregnancy BMI. Women with insulin resistance had a higher risk of LGA (aOR, 1.88; 95% CI, 1.02 to 3.47; P=0.043) and cesarean section (aOR, 2.12; 95% CI, 1.29 to 3.50; P=0.003) than women in the insulin-sensitive group. In contrast, defective β-cell function did not affect adverse pregnancy outcomes.
Conclusion
Different metabolic phenotypes of GDM were associated with heterogeneous pregnancy outcomes. Women with obesity and those with insulin resistance are at greater risk of adverse outcomes and might need strict glycemic management during pregnancy.

Citations

Citations to this article as recorded by

Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications
Jooyeop Lee, Na Keum Lee, Joon Ho Moon
Endocrinology and Metabolism.2025; 40(1): 10. CrossRef

Thyroid
Prevalence of Subclinical Hypothyroidism in a Non-Diabetic Young Female Population and Its Impact on Diabetes and Cardiometabolic Risk: Nawoda Hewage, Udaya Wijesekara, Rasika Perera; Endocrinol Metab. 2024;39(6):864-876. Published online November 5, 2024; DOI: https://doi.org/10.3803/EnM.2024.2015

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We evaluated the influence of subclinical hypothyroidism (SCH) on insulin resistance (IR), cardiometabolic risk, and obesity in childbearing-age women without diabetes.
Methods
This cross-sectional investigation included 282 women, aged 18 to 35 years, from rural and suburban Sri Lanka. Anthropometric and biochemical parameters, including IR and lipid/thyroid profiles, were recorded. Data were compared between SCH and euthyroidism (EU) for controls (normal weight) and cases (overweight/obese).
Results
The overall rates of SCH, EU, IR, and metabolic syndrome (MetS) were 40.42%, 59.57%, 73.40%, and 24.46%, respectively. Both controls and cases included individuals with SCH; overall, 168 participants (59.57%) had EU, while 114 (40.42%) exhibited SCH. IR was significantly associated with SCH in both weight groups (P<0.05). Among those with SCH, the odds ratios (ORs) for IR were >2 (95% confidence interval [CI], 0.45 to 3.87) in controls and >6 (95% CI, 3.52 to 8.41) in cases. Similarly, the ORs for MetS were >1 (95% CI, 0.38 to 4.16) in controls and >11 (95% CI, 8.73 to 15.01) in cases. Dyslipidemia and hypertriglyceridemia were significantly more prevalent in the SCH group (P<0.05). Women with SCH exhibited higher mean values for all obesity indices compared to their EU counterparts, surpassing normal thresholds (P<0.05). Among obesity measures, visceral adiposity index (VAI) demonstrated the highest area under the curve and sensitivity for assessing SCH and cardiovascular disease (CVD) risk.
Conclusion
SCH must be identified and managed in young women to help prevent diabetes and cardiometabolic disorders. VAI may aid in precisely detecting SCH and CVD.

Diabetes, obesity and metabolism
Insulin Resistance and Impaired Insulin Secretion Predict Incident Diabetes: A Statistical Matching Application to the Two Korean Nationwide, Population-Representative Cohorts: Hyemin Jo, Soyeon Ahn, Jung Hun Ohn, Cheol Min Shin, Eunjeong Ji, Donggil Kim, Sung Jae Jung, Joongyub Lee; Endocrinol Metab. 2024;39(5):711-721. Published online August 30, 2024; DOI: https://doi.org/10.3803/EnM.2024.1986

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Background
To evaluate whether insulin resistance and impaired insulin secretion are useful predictors of incident diabetes in Koreans using nationwide population-representative data to enhance data privacy.
Methods
This study analyzed the data of individuals without diabetes aged >40 years from the Korea National Health and Nutrition Examination Survey (KNHANES) 2007–2010 and 2015 and the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS). Owing to privacy concerns, these databases cannot be linked using direct identifiers. Therefore, we generated 10 synthetic datasets, followed by statistical matching with the NHIS-HEALS. Homeostasis model assessment of insulin resistance (HOMA-IR) and homeostasis model assessment of β-cell function (HOMA-β) were used as indicators of insulin resistance and insulin secretory function, respectively, and diabetes onset was captured in NHIS-HEALS.
Results
A median of 4,580 (range, 4,463 to 4,761) adults were included in the analyses after statistical matching of 10 synthetic KNHANES and NHIS-HEALS datasets. During a mean follow-up duration of 5.8 years, a median of 4.7% (range, 4.3% to 5.0%) of the participants developed diabetes. Compared to the reference low–HOMA-IR/high–HOMA-β group, the high–HOMA-IR/low– HOMA-β group had the highest risk of diabetes, followed by high–HOMA-IR/high–HOMA-β group and low–HOMA-IR/low– HOMA-β group (median adjusted hazard ratio [ranges]: 3.36 [1.86 to 6.05], 1.81 [1.01 to 3.22], and 1.68 [0.93 to 3.04], respectively).
Conclusion
Insulin resistance and impaired insulin secretion are robust predictors of diabetes in the Korean population. A retrospective cohort constructed by combining cross-sectional synthetic and longitudinal claims-based cohort data through statistical matching may be a reliable resource for studying the natural history of diabetes.

Citations

Citations to this article as recorded by

Abnormal insulin metabolism and decreased levels of mindfulness in type 2 diabetes mellitus
Xue Zhang, Rui Huang, Jiaxin Li, Mingyue Yang, Daowen Zhang, Cancan Liu, Kuanlu Fan
Diabetology & Metabolic Syndrome.2025;[Epub] CrossRef
Combining Nationwide Cohorts to Unveil the Predictive Role of Insulin Resistance and Impaired Insulin Secretion in Diabetes
Bukyung Kim
Endocrinology and Metabolism.2024; 39(5): 699. CrossRef

Diabetes, obesity and metabolism
Amelioration of Insulin Resistance after Delivery Is Associated with Reduced Risk of Postpartum Diabetes in Women with Gestational Diabetes Mellitus: Heejun Son, Joon Ho Moon, Sung Hee Choi, Nam H. Cho, Soo Heon Kwak, Hak Chul Jang; Endocrinol Metab. 2024;39(5):701-710. Published online August 21, 2024; DOI: https://doi.org/10.3803/EnM.2024.1974

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Background
Identifying risk factors for postpartum type 2 diabetes in women with gestational diabetes mellitus (GDM) is crucial for effective interventions. We examined whether changes in insulin sensitivity after delivery affects the risk of type 2 diabetes in women with GDM.
Methods
This prospective cohort study included 347 women with GDM or gestational impaired glucose tolerance, who attended the follow-up visits at 2 months postpartum and annually thereafter. Changes in insulin sensitivity were calculated using the Matsuda index at GDM diagnosis and at 2 months postpartum (ΔMatsuda index). After excluding women with pregestational diabetes or those followed up only once, we analyzed the risk of postpartum type 2 diabetes based on the ΔMatsuda index tertiles.
Results
The incidence of type 2 diabetes at the two-month postpartum visit decreased with increasing ΔMatsuda index tertiles (16.4%, 9.5%, and 1.8%, P=0.001). During a 4.1-year follow-up, 26 out of 230 women who attended more than two follow-up visits (11.3%) developed type 2 diabetes. Compared to the lowest tertile, subjects in the highest ΔMatsuda index tertile showed a significantly reduced risk of type 2 diabetes (hazard ratio, 0.33; 95% confidence interval, 0.12 to 0.93; P=0.036) after adjusting for confounders.
Conclusion
Improvement in insulin sensitivity after delivery is associated with a reduced risk of postpartum type 2 diabetes in women with GDM. Postpartum changes in insulin sensitivity could be a useful prediction for future type 2 diabetes development in women with GDM.

Citations

Citations to this article as recorded by

Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications
Jooyeop Lee, Na Keum Lee, Joon Ho Moon
Endocrinology and Metabolism.2025; 40(1): 10. CrossRef
Evaluation of Maternal Factors Affecting Postpartum Insulin Resistance Markers in Mothers with Gestational Diabetes—A Case–Control Study
Karolina Karcz, Paulina Gaweł, Barbara Królak-Olejnik
Nutrients.2024; 16(22): 3871. CrossRef

Diabetes, obesity and metabolism
Triglyceride-Glucose Index Predicts Future Atherosclerotic Cardiovascular Diseases: A 16-Year Follow-up in a Prospective, Community-Dwelling Cohort Study: Joon Ho Moon, Yongkang Kim, Tae Jung Oh, Jae Hoon Moon, Soo Heon Kwak, Kyong Soo Park, Hak Chul Jang, Sung Hee Choi, Nam H. Cho; Endocrinol Metab. 2023;38(4):406-417. Published online August 3, 2023; DOI: https://doi.org/10.3803/EnM.2023.1703

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Background
While the triglyceride-glucose (TyG) index is a measure of insulin resistance, its association with cardiovascular disease (CVD) has not been well elucidated. We evaluated the TyG index for prediction of CVDs in a prospective large communitybased cohort.
Methods
Individuals 40 to 70 years old were prospectively followed for a median 15.6 years. The TyG index was calculated as the Ln [fasting triglycerides (mg/dL)×fasting glucose (mg/dL)/2]. CVDs included any acute myocardial infarction, coronary artery disease or cerebrovascular disease. We used a Cox proportional hazards model to estimate CVD risks according to quartiles of the TyG index and plotted the receiver operating characteristics curve for the incident CVD.
Results
Among 8,511 subjects (age 51.9±8.8 years; 47.5% males), 931 (10.9%) had incident CVDs during the follow-up. After adjustment for age, sex, body mass index, diabetes mellitus, hypertension, total cholesterol, smoking, alcohol, exercise, and C-reactive protein, subjects in the highest TyG quartile had 36% increased risk of incident CVD compared with the lowest TyG quartile (hazard ratio, 1.36; 95% confidence interval, 1.10 to 1.68). Carotid plaque, assessed by ultrasonography was more frequent in subjects in the higher quartile of TyG index (P for trend=0.049 in men and P for trend <0.001 in women). The TyG index had a higher predictive power for CVDs than the homeostasis model assessment of insulin resistance (HOMA-IR) (area under the curve, 0.578 for TyG and 0.543 for HOMA-IR). Adding TyG index on diabetes or hypertension alone gave sounder predictability for CVDs.
Conclusion
The TyG index is independently associated with future CVDs in 16 years of follow-up in large, prospective Korean cohort.

Citations

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Elevated triglyceride-glucose index as a predictor of carotid plaque incidence: Insights from a comprehensive meta-analysis
Arankesh Mahadevan, Bhavin A. Patel, Sashwath Srikanth, Raja Godasi, Rupak Desai
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Analysis of the correlation between the serum triglyceride glucose index and the risk of death in patients on maintenance hemodialysis: a retrospective cohort study
Xiaokeng Chi, Shuxin Chen, Zhe Huang, Rong Zhou, Zhicheng Su, Qiujun Mai, Yilin Xu, Jianxin Wan
PeerJ.2025; 13: e18781. CrossRef
Assessing the predictive value of elevated triglycerides, triglyceride-glucose index (TyG), and TG/HDL ratios for cardiovascular disease and mortality during 20 years of follow-up: Tehran lipid and glucose study
Shayesteh Khalili, Atieh Amouzegar, Seyed Sattar Dorost, Fereidoun Azizi, Aryan Salahi-Niri
Clinical Biochemistry.2025; 136: 110891. CrossRef
Association between triglyceride-glucose index and carotid atherosclerosis in Chinese steelworkers: a cross-sectional study
Haoyue Cao, Qinglin Li, Juxiang Yuan
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Association between the triglyceride-glucose index and silent myocardial infarction in the general population
Min Dai, Dongze Li, Jing Yu, Yi Liu, Qin Zhang, Wei Zhang, Yan Zhong, Zhi Wan, Menglin Tang, Yongli Gao, Li Rao
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Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks
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Advanced Science.2025;[Epub] CrossRef
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So Hyun Cho, Gyuri Kim, Kyu-na Lee, Rosa Oh, Ji Yoon Kim, Myunghwa Jang, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
Scientific Reports.2025;[Epub] CrossRef
Construction and validation of a nomogram for predicting diabetes remission at 3 months after bariatric surgery in patients with obesity combined with type 2 diabetes mellitus
Kaisheng Yuan, Bing Wu, Ruiqi Zeng, Fuqing Zhou, Ruixiang Hu, Cunchuan Wang
Diabetes, Obesity and Metabolism.2024; 26(1): 169. CrossRef
Association between the triglyceride glucose index and chronic total coronary occlusion: A cross-sectional study from southwest China
Kaiyong Xiao, Huili Cao, Bin Yang, Zhe Xv, Lian Xiao, Jianping Wang, Shuiqing Ni, Hui Feng, Zhongwei He, Lei Xv, Juan Li, Dongmei Xv
Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(4): 850. CrossRef
The association between TyG and all-cause/non-cardiovascular mortality in general patients with type 2 diabetes mellitus is modified by age: results from the cohort study of NHANES 1999–2018
Younan Yao, Bo Wang, Tian Geng, Jiyan Chen, Wan Chen, Liwen Li
Cardiovascular Diabetology.2024;[Epub] CrossRef
Comparison of triglyceride glucose index and modified triglyceride glucose indices in prediction of cardiovascular diseases in middle aged and older Chinese adults
Cancan Cui, Yitian Qi, Jiayin Song, Xinyun Shang, Tianjiao Han, Ning Han, Siqi Yue, Yining Zha, Zhonghang Xu, Jiannan Li, Lin Liu
Cardiovascular Diabetology.2024;[Epub] CrossRef
Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers
Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Mi Sook Yun, Yang Ho Kang
Diabetes Research and Clinical Practice.2024; 210: 111640. CrossRef
Prognostic value of triglyceride-glucose index for left ventricular remodeling in nondiabetic ST-elevation myocardial infarction patients
Tolga Han Efe, Engin Algül
Biomarkers in Medicine.2024; 18(6): 243. CrossRef
Triglyceride-Glucose Index as Predictor for Hypertension, CHD and STROKE Risk among Non-Diabetic Patients: A NHANES Cross-Sectional Study 2001–2020
Bisher Sawaf, Sarya Swed, Hidar Alibrahim, Haidara Bohsas, Tirth Dave, Mohamad Nour Nasif, Wael Hafez, Fatema Ali Asgar Tashrifwala, Yazan Khair Eldien Jabban, Safwan Al-Rassas, Heba haj Saleh, Abdul Rehman Zia Zaidi, Baraa Alghalyini, Shaymaa Abdelmaboud
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An Increasing Triglyceride–Glucose Index Is Associated with a Pro-Inflammatory and Pro-Oxidant Phenotype
Beverley Adams-Huet, Ishwarlal Jialal
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Murat Bilgin, Emre Akkaya, Recep Dokuyucu
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The role of the triglyceride-glucose index as a biomarker of cardio-metabolic syndromes
Verena Gounden, Sridevi Devaraj, Ishwarlal Jialal
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Alireza Jafari, Hamid Najafipour, Mitra Shadkam, Sina Aminizadeh
Lipids in Health and Disease.2023;[Epub] CrossRef

Diabetes, Obesity and Metabolism
The Impact of Insulin Resistance on Hepatic Fibrosis among United States Adults with Non-Alcoholic Fatty Liver Disease: NHANES 2017 to 2018: Ji Cheol Bae, Lauren A. Beste, Kristina M. Utzschneider; Endocrinol Metab. 2022;37(3):455-465. Published online June 21, 2022; DOI: https://doi.org/10.3803/EnM.2022.1434

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Background
We aimed to investigate the association of hepatic steatosis with liver fibrosis and to assess the interactive effects of hepatic steatosis and insulin resistance on liver fibrosis in a nationally representative sample of United States adults.
Methods
We conducted a cross-sectional analysis using data from National Health and Nutrition Examination Survey 2017 to 2018, which for the first time included transient elastography to assess liver stiffness and hepatic steatosis. We evaluated the association between hepatic steatosis (using controlled attenuation parameter [CAP]) and clinically significant liver fibrosis (defined as liver stiffness ≥7.5 kPa) using logistic regression with an interaction term for hepatic steatosis and insulin resistance (defined as homeostatic model assessment of insulin resistance ≥3.0).
Results
Among adults undergoing transient elastography (n=2,023), 45.9% had moderate or greater hepatic steatosis and 11.3% had clinically significant liver fibrosis. After adjustment for demographic and metabolic factors, the odds of significant liver fibrosis increased as CAP score rose (odds ratio, 1.35 per standard deviation increment; 95% confidence interval, 1.11 to 1.64). We detected a significant interaction effect between CAP score and insulin resistance on the probability of significant liver fibrosis (P=0.016 for interaction). The probability of significant liver fibrosis increased in the presence of insulin resistance with increasing CAP score, while those without insulin resistance had low probability of significant liver fibrosis, even with high CAP scores.
Conclusion
Individuals with hepatic steatosis had higher odds of fibrosis when insulin resistance was present. Our findings emphasize the importance of the metabolic aspects of the disease on fibrosis risk and suggest a need to better identify patients with metabolic associated fatty liver disease.

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Jaejun Lee, Jinson So, Chang In Han, Hyun Yang, Pil Soo Sung, Si Hyun Bae, Do Seon Song
Hepatology International.2025; 19(1): 181. CrossRef
Association between the triglyceride-glucose index and liver fibrosis in adults with metabolism-related fatty liver disease in the United States: a cross-sectional study of NHANES 2017–2020
Yuou Ying, Yuan Ji, Ruyi Ju, Jinhan Chen, Mingxian Chen
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The Value of TyG‐Related Indices in Evaluating MASLD and Significant Liver Fibrosis in MASLD
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Shahid Habib
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Greater Severity of Steatosis Is Associated with a Higher Risk of Incident Diabetes: A Retrospective Longitudinal Study
Ji Min Han, Jung Hwan Cho, Hye In Kim, Sunghwan Suh, Yu-Ji Lee, Jung Won Lee, Kwang Min Kim, Ji Cheol Bae
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Hepatic T-cell senescence and exhaustion are implicated in the progression of fatty liver disease in patients with type 2 diabetes and mouse model with nonalcoholic steatohepatitis
Byeong Chang Sim, Yea Eun Kang, Sun Kyoung You, Seong Eun Lee, Ha Thi Nga, Ho Yeop Lee, Thi Linh Nguyen, Ji Sun Moon, Jingwen Tian, Hyo Ju Jang, Jeong Eun Lee, Hyon-Seung Yi
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Familial clustering of nonalcoholic fatty liver disease in first‐degree relatives of adults with lean nonalcoholic fatty liver disease
Sorachat Niltwat, Chanin Limwongse, Natthinee Charatcharoenwitthaya, Duangkamon Bunditvorapoom, Wimolrak Bandidniyamanon, Phunchai Charatcharoenwitthaya
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Ji Cheol Bae
Endocrinology and Metabolism.2022; 37(6): 858. CrossRef

Diabetes, Obesity and Metabolism
Changes in Insulin Resistance Index and the Risk of Liver Fibrosis in Patients with Nonalcoholic Fatty Liver Disease without Diabetes: Kangbuk Samsung Health Study: Dae-Jeong Koo, Mi Yeon Lee, Inha Jung, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee; Endocrinol Metab. 2021;36(5):1016-1028. Published online October 21, 2021; DOI: https://doi.org/10.3803/EnM.2021.1110

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Background
Fibrosis is the most important prognostic factor for nonalcoholic fatty liver disease (NAFLD). Insulin resistance plays a key role of fibrosis progression. We evaluated the association between changes in homeostasis model assessment of insulin resistance (HOMA-IR) values and changes in fibrosis status in NAFLD.
Methods
We analyzed the data of 15,728 participants with NAFLD (86% men, mean age 40.5 years) who had no diabetes at baseline and visited our centers for health check-ups both in 2012 and 2016. The participants were classified into four groups according to the degree of change in HOMA-IR values from baseline to the end of follow-up: G1 (<0), G2 (0–0.50), G3 (0.51–1.00), and G4 (>1.00). NAFLD was assessed by ultrasonography, and fibrosis status was evaluated by the NAFLD fibrosis score (NFS) and the aspartate aminotransferase to platelet ratio index (APRI).
Results
After the 4-year follow-up, the multivariable-adjusted odds ratio (OR) for progression of fibrosis probability increased with increasing HOMA-IR values (OR, 2.25; 95% confidence interval [CI], 1.87 to 2.71 for NFS; and OR, 2.55; 95% CI, 2.05 to 3.18 for APRI, G4). This tendency remained consistent throughout the subgroup analyses, except in those for female sex and a body mass index <25 kg/m². The OR for regression of fibrosis probability decreased with increasing HOMA-IR values (OR, 0.33; 95% CI, 0.25 to 0.43 for NFS, G4).
Conclusion
Changes in HOMA-IR values were associated with changes in fibrosis status in patients with NAFLD without diabetes, which underscores the role of insulin resistance in liver fibrosis.

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Insulin Resistance/Sensitivity Measures as Screening Indicators of Metabolic-Associated Fatty Liver Disease and Liver Fibrosis
Mohammad E. Khamseh, Mojtaba Malek, Soodeh Jahangiri, Sohrab Nobarani, Azita Hekmatdoost, Marieh Salavatizadeh, Samira Soltanieh, Haleh Chehrehgosha, Hoda Taheri, Zeinab Montazeri, Fereshteh Attaran, Faramarz Ismail-Beigi, Fariba Alaei-Shahmiri
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Gyuri Kim, Tae Yang Yu, Jae Hwan Jee, Ji Cheol Bae, Mira Kang, Jae Hyeon Kim
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Insulin Resistance, Non-Alcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus: Clinical and Experimental Perspective
Inha Jung, Dae-Jeong Koo, Won-Young Lee
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Effects of luseogliflozin on suspected MASLD in patients with diabetes: a pooled meta-analysis of phase III clinical trials
Takumi Kawaguchi, Kenta Murotani, Hiromitsu Kajiyama, Hitoshi Obara, Hironori Yamaguchi, Yuko Toyofuku, Fumi Kaneko, Yutaka Seino, Saeko Uchida
Journal of Gastroenterology.2024; 59(9): 836. CrossRef
Evaluating liver fibrosis: the role of elastography and FibroTest in patients with non-alcoholic fatty liver disease and insulin resistance
O. Kozak
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Factors Associated with Liver Fibrosis in Chinese Patients with Type 2 Diabetes Mellitus and Non-Alcoholic Fatty Liver Disease
Yu Luo, Cuiyu Wang, Tian Zhang, Xiaoyu He, Jianan Hao, Andong Shen, Hang Zhao, Shuchun Chen, Luping Ren
International Journal of General Medicine.2023; Volume 16: 293. CrossRef
Impact of COVID-19 Lockdown on Non-Alcoholic Fatty Liver Disease and Insulin Resistance in Adults: A before and after Pandemic Lockdown Longitudinal Study
Ángel Arturo López-González, Bárbara Altisench Jané, Luis Masmiquel Comas, Sebastiana Arroyo Bote, Hilda María González San Miguel, José Ignacio Ramírez Manent
Nutrients.2022; 14(14): 2795. CrossRef
Metabolic Score for Insulin Resistance Is Inversely Related to Incident Advanced Liver Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease
Jun-Hyuk Lee, Yu-Jin Kwon, Kyongmin Park, Hye Sun Lee, Hoon-Ki Park, Jee Hye Han, Sang Bong Ahn
Nutrients.2022; 14(15): 3039. CrossRef
Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population: Data from NHANES
Kexing Han, Kexuan Tan, Jiapei Shen, Yuting Gu, Zilong Wang, Jiayu He, Luyang Kang, Weijie Sun, Long Gao, Yufeng Gao
Frontiers in Public Health.2022;[Epub] CrossRef
The crosstalk between insulin resistance and nonalcoholic fatty liver disease/metabolic dysfunction-associated fatty liver disease: a culprit or a consequence?
Dae-Jeong Koo, Won-Young Lee
Cardiovascular Prevention and Pharmacotherapy.2022; 4(4): 132. CrossRef

Diabetes, Obesity and Metabolism
Musclin Is Related to Insulin Resistance and Body Composition, but Not to Body Mass Index or Cardiorespiratory Capacity in Adults: Yeliana L. Sánchez, Manuela Yepes-Calderón, Luis Valbuena, Andrés F. Milán, María C. Trillos-Almanza, Sergio Granados, Miguel Peña, Mauricio Estrada-Castrillón, Juan C. Aristizábal, Raúl Narvez-Sanchez, Jaime Gallo-Villegas, Juan C. Calderón; Endocrinol Metab. 2021;36(5):1055-1068. Published online October 21, 2021; DOI: https://doi.org/10.3803/EnM.2021.1104

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Background
We studied whether musclin function in humans is related to glycemic control, body composition, and cardiorespiratory capacity.
Methods
A cross-sectional study was performed in sedentary adults with or without metabolic syndrome (MS). Serum musclin was measured by enzyme-linked immunosorbent assay. Insulin resistance (IR) was evaluated by the homeostatic model assessment (HOMA-IR). Body composition was determined by dual-energy X-ray absorptiometry and muscle composition by measuring carnosine in the thigh, a surrogate of fiber types, through proton magnetic resonance spectroscopy. Cardiorespiratory capacity was assessed through direct ergospirometry.
Results
The control (n=29) and MS (n=61) groups were comparable in age (51.5±6.5 years old vs. 50.7±6.1 years old), sex (72.4% vs. 70.5% women), total lean mass (58.5%±7.4% vs. 57.3%±6.8%), and peak oxygen consumption (VO_peak) (31.0±5.8 mL O2./kg.min vs. 29.2±6.3 mL O2/kg.min). Individuals with MS had higher body mass index (BMI) (30.6±4.0 kg/m² vs. 27.4± 3.6 kg/m²), HOMA-IR (3.5 [95% confidence interval, CI, 2.9 to 4.6] vs. 1.7 [95% CI, 1.1 to 2.0]), and musclin (206.7 pg/mL [95% CI, 122.7 to 387.8] vs. 111.1 pg/mL [95% CI, 63.2 to 218.5]) values than controls (P˂0.05). Musclin showed a significant relationship with HOMA-IR (β=0.23; 95% CI, 0.12 to 0.33; P˂0.01), but not with VO_peak, in multiple linear regression models adjusted for age, sex, fat mass, lean mass, and physical activity. Musclin was significantly associated with insulin, glycemia, visceral fat, and regional muscle mass, but not with BMI, VCO2peak, maximum heart rate, maximum time of work, or carnosine.
Conclusion
In humans, musclin positively correlates with insulinemia, IR, and a body composition profile with high visceral adiposity and lean mass, but low body fat percentage. Musclin is not related to BMI or cardiorespiratory capacity.

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Relationship between myostatin, musclin, nutritional status and functionality in Colombian community-dwelling older adults: a cross-sectional study
Nancy Marulanda-Díaz, Alejandro Estrada-Restrepo, Andrés F. Milán, Raul Narvaez-Sanchez, Juan C. Calderón, Nubia A. Giraldo-Giraldo
Nutrition.2025; : 112767. CrossRef
Response to Letter to the Editor From Prickett and Espiner: “Dynamic Response of Musclin, a Myokine, to Aerobic Exercise and Its Interplay With Natriuretic Peptides and Receptor C”
YuSik Kim
The Journal of Clinical Endocrinology & Metabolism.2025;[Epub] CrossRef
Musclin Mitigates the Attachment of HUVECs to THP-1 Monocytes in Hyperlipidemic Conditions through PPARα/HO-1-Mediated Attenuation of Inflammation
Wonjun Cho, Heeseung Oh, Sung Woo Choi, A. M. Abd El-Aty, Fatma Yeşilyurt, Ji Hoon Jeong, Tae Woo Jung
Inflammation.2024; 47(1): 1. CrossRef
Glucose restriction enhances oxidative fiber formation: A multi-omic signal network involving AMPK and CaMK2
Kaiyi Zhang, Ning Xie, Huaqiong Ye, Jiakun Miao, Boce Xia, Yu Yang, Huanqi Peng, Shuang Xu, Tianwen Wu, Cong Tao, Jinxue Ruan, Yanfang Wang, Shulin Yang
iScience.2024; 27(1): 108590. CrossRef
Myokines: metabolic regulation in obesity and type 2 diabetes
Zhi-Tian Chen, Zhi-Xuan Weng, Jiandie D Lin, Zhuo-Xian Meng
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Dynamic Response of Musclin, a Myokine, to Aerobic Exercise and Its Interplay With Natriuretic Peptides and Receptor C
Ji Sun Nam, Eun-Suk Cho, Yu Rim Kwon, Jong Suk Park, YuSik Kim
The Journal of Clinical Endocrinology & Metabolism.2024;[Epub] CrossRef
Epidemiological, mechanistic, and practical bases for assessment of cardiorespiratory fitness and muscle status in adults in healthcare settings
Jaime A. Gallo-Villegas, Juan C. Calderón
European Journal of Applied Physiology.2023; 123(5): 945. CrossRef
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Jorge L. Petro, María Carolina Fragozo-Ramos, Andrés F. Milán, Juan C. Aristizabal, Jaime A. Gallo-Villegas, Juan C. Calderón
International Journal of Molecular Sciences.2023; 24(8): 6874. CrossRef
The correlation of serum musclin with diabetic nephropathy
Jie Zhang, Jing Shi, Zengguang Cheng, Wenchao Hu
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Jaime Gallo-Villegas, Leonardo A. Castro-Valencia, Laura Pérez, Daniel Restrepo, Oscar Guerrero, Sergio Cardona, Yeliana L. Sánchez, Manuela Yepes-Calderón, Luis H. Valbuena, Miguel Peña, Andrés F. Milán, Maria C. Trillos-Almanza, Sergio Granados, Juan C.
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Diabetes, Obesity and Metabolism
Increased Risk of Nonalcoholic Fatty Liver Disease in Individuals with High Weight Variability: Inha Jung, Dae-Jeong Koo, Mi Yeon Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee; Endocrinol Metab. 2021;36(4):845-854. Published online August 27, 2021; DOI: https://doi.org/10.3803/EnM.2021.1098

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Background
Weight loss through lifestyle modification is recommended for patients with nonalcoholic fatty liver disease (NAFLD). Recent studies have suggested that repeated loss and gain of weight is associated with worse health outcomes. This study aimed to examine the association between weight variability and the risk of NAFLD in patients without diabetes.
Methods
We examined the health-checkup data of 30,708 participants who had undergone serial examinations between 2010 and 2014. Weight variability was assessed using coefficient of variation and the average successive variability of weight (ASVW), which was defined as the sum of absolute weight changes between successive years over the 5-year period divided by 4. The participants were classified according to the baseline body mass index and weight difference over 4 years.
Results
On dividing the participants into four groups according to ASVW quartile groups, those in the highest quartile showed a significantly increased risk of NAFLD compared to those in the lowest quartile (odds ratio [OR], 1.89; 95% confidence interval [CI], 1.63 to 2.19). Among participants without obesity at baseline, individuals with high ASVW showed increased risk of NAFLD (OR, 1.80; 95% CI, 1.61 to 2.01). Participants with increased weight over 4 years and high ASVW demonstrated higher risk of NAFLD compared to those with stable weight and low ASVW (OR, 4.87; 95% CI, 4.29 to 5.53).
Conclusion
Regardless of participant baseline obesity status, high weight variability was associated with an increased risk of developing NAFLD. Our results suggest that further effort is required to minimize weight fluctuations after achieving a desirable body weight.

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Anouk Charlot, Anthony Bringolf, Léa Debrut, Joris Mallard, Anne-Laure Charles, Emilie Crouchet, Delphine Duteil, Bernard Geny, Joffrey Zoll
Nutrients.2024; 16(5): 646. CrossRef
Body weight variability and the risk of liver‐related outcomes in type 2 diabetes and steatotic liver disease: a cohort study
Nathalie C. Leite, Claudia R. L. Cardoso, Cristiane A. Villela‐Nogueira, Gil F. Salles
Obesity.2024; 32(6): 1210. CrossRef
Insulin Resistance, Non-Alcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus: Clinical and Experimental Perspective
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A machine-learned model for predicting weight loss success using weight change features early in treatment
Farzad Shahabi, Samuel L. Battalio, Angela Fidler Pfammatter, Donald Hedeker, Bonnie Spring, Nabil Alshurafa
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Tzu-Chieh Hsu, Chun-Hsien Chiang, I-Hsuan Liu, Chih-Yun Wang, Ching-Yi Chen
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Katie J. McMenamin, Tamara B. Harris, Joshua F. Baker
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Review Article

Diabetes
In Vivo and In Vitro Quantification of Glucose Kinetics: From Bedside to Bench: Il-Young Kim, Sanghee Park, Yeongmin Kim, Yewon Chang, Cheol Soo Choi, Sang-Hoon Suh, Robert R. Wolfe; Endocrinol Metab. 2020;35(4):733-749. Published online December 23, 2020; DOI: https://doi.org/10.3803/EnM.2020.406

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Like other substrates, plasma glucose is in a dynamic state of constant turnover (i.e., rates of glucose appearance [R_a glucose] into and disappearance [R_d glucose] from the plasma) while staying within a narrow range of normal concentrations, a physiological priority. Persistent imbalance of glucose turnover leads to elevations (i.e., hyperglycemia, R_a>R_d) or falls (i.e., hypoglycemia, R_a<R_d) in the pool size, leading to clinical conditions such as diabetes. Endogenous Ra glucose is divided into hepatic glucose production via glycogenolysis and gluconeogenesis (GNG) and renal GNG. On the other hand, R_d glucose, the summed rate of glucose uptake by tissues/organs, involves various intracellular metabolic pathways including glycolysis, the tricarboxylic acid (TCA) cycle, and oxidation at varying rates depending on the metabolic status. Despite the dynamic nature of glucose metabolism, metabolic studies typically rely on measurements of static, snapshot information such as the abundance of mRNAs and proteins and (in)activation of implicated signaling networks without determining actual flux rates. In this review, we will discuss the importance of obtaining kinetic information, basic principles of stable isotope tracer methodology, calculations of in vivo glucose kinetics, and assessments of metabolic flux in experimental models in vivo and in vitro.

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Original Articles

Clinical Study
Changes in Glucose Metabolism after Adrenalectomy or Treatment with a Mineralocorticoid Receptor Antagonist for Primary Aldosteronism: Yu-Fang Lin, Kang-Yung Peng, Chia-Hui Chang, Ya-Hui Hu, Vin-Cent Wu, Shiu-Dong Chung, Taiwan Primary Aldosteronism Investigation (TAIPAI) Study Group; Endocrinol Metab. 2020;35(4):838-846. Published online December 2, 2020; DOI: https://doi.org/10.3803/EnM.2020.797

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Background
Data on the effects of excess aldosterone on glucose metabolism are inconsistent. This study compared the changes in glucose metabolism in patients with primary aldosteronism (PA) after adrenalectomy or treatment with a mineralocorticoid receptor antagonist (MRA).
Methods
Overall, 241 patients were enrolled; 153 underwent adrenalectomy and 88 received an MRA. Fasting glucose, homeostatic model assessment of insulin resistance (HOMA-IR), and homeostatic model assessment of β-cell function (HOMA-β) were compared between the treatment groups after 1 year. Plasma aldosterone concentration (PAC) and factors determining HOMA-IR and PAC were evaluated.
Results
No baseline differences were observed between the groups. Fasting insulin, HOMA-IR, and HOMA-β increased in both groups and there were no significant differences in fasting glucose following treatment. Multiple regression analysis showed associations between PAC and HOMA-IR (β=0.172, P=0.017) after treatment. Treatment with spironolactone was the only risk factor associated with PAC >30 ng/dL (odds ratio, 5.2; 95% confidence interval [CI], 2.7 to 10; P<0.001) and conferred a 2.48-fold risk of insulin resistance after 1 year compared with surgery (95% CI, 1.3 to 4.8; P=0.007).
Conclusion
Spironolactone treatment might increase insulin resistance in patients with PA. This strengthened the current recommendation that adrenalectomy is the preferred strategy for patient with positive lateralization test. Achieving a post-treatment PAC of <30 ng/dL for improved insulin sensitivity may be appropriate.

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How should anti-hypertensive medications be adjusted before screening for primary aldosteronism?
Jin-Ying Lu, Yi-Yao Chang, Ting-Wei Lee, Ming-Hsien Wu, Zheng-Wei Chen, Yen-Ta Huang, Tai-Shuan Lai, Leay Kiaw Er, Yen-Hung Lin, Vin-Cent Wu, Hao-Min Cheng, Hsien-Li Kao, Charles Jia-Yin Hou, Kwan-Dun Wu, Szu-Tah Chen, Feng-Hsuan Liu
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Diabete e sindrome metabolica nel paziente con iperaldosteronismo primario
Stella Bernardi, Valerio Velardi, Federica De Luca, Giulia Zuolo, Veronica Calabrò, Riccardo Candido, Bruno Fabris
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Prevalence, risk factors and evolution of diabetes mellitus after treatment in primary aldosteronism. Results from the SPAIN-ALDO registry
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Estimated glomerular filtration rate-dip after medical target therapy associated with increased mortality and cardiovascular events in patients with primary aldosteronism
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Namki Hong, Kyoung Jin Kim, Min Heui Yu, Seong Ho Jeong, Seunghyun Lee, Jung Soo Lim, Yumie Rhee
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Secondary diabetes mellitus due to primary aldosteronism
Melpomeni Moustaki, Stavroula A. Paschou, Eleni C. Vakali, Andromachi Vryonidou
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Clinical Study
Cross-Sectional and Longitudinal Examination of Insulin Sensitivity and Secretion across Puberty among Non-Hispanic Black and White Children: Shannon E. Marwitz, Megan V. Gaines, Sheila M. Brady, Sarah J. Mi, Miranda M. Broadney, Susan Z. Yanovski, Van S. Hubbard, Jack A. Yanovski; Endocrinol Metab. 2020;35(4):847-857. Published online November 18, 2020; DOI: https://doi.org/10.3803/EnM.2020.771

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Background
Few studies using criterion measures of insulin sensitivity (SI) and insulin secretory capacity (ISC) have been conducted across puberty to adulthood. We examined how SI and ISC change from pre-puberty through adulthood.
Methods
Hyperglycemic clamp studies were performed in a convenience sample of non-Hispanic Black (NHB) and White children evaluated at age 6 to 12 years and at approximately 5-year intervals into adulthood (maximum age 27 years). SI and ISC (first-phase and steady-state insulin secretion) were determined cross-sectionally in 133 unique participants across puberty and in adulthood. Additionally, longitudinal changes in SI and ISC were compared at two timepoints among three groups defined by changes in pubertal development: pre-pubertal at baseline and late-pubertal at follow-up (n=27), early-pubertal at baseline and late-pubertal at follow-up (n=27), and late-pubertal at baseline and adult at follow-up (n=24).
Results
Cross-sectionally, SI was highest in pre-puberty and early puberty and lowest in mid-puberty (analysis of covariance [ANCOVA] P=0.001). Longitudinally, SI decreased from pre-puberty to late puberty (P<0.001), then increased somewhat from late puberty to adulthood. Cross-sectionally, first-phase and steady-state ISC increased during puberty and decreased in adulthood (ANCOVA P<0.02). Longitudinally, steady-state and first-phase ISC increased from pre-puberty to late puberty (P<0.007), and steady-state ISC decreased from late puberty to adulthood. The NHB group had lower SI (P=0.003) and greater first-phase and steady-state ISC (P≤0.001), independent of pubertal development.
Conclusion
This study confirms that SI decreases and ISC increases transiently during puberty and shows that these changes largely resolve in adulthood.

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