Endocrinology and Metabolism

Original Articles

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.

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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
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
Evaluation of the novel three lipid indices for predicting five- and ten-year incidence of cardiovascular disease: findings from Kerman coronary artery disease risk factors study (KERCADRS)
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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Association of insulin resistance indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome
Tzu-chia Kuo, Yang-bor Lu, Chieh-lun Yang, Bin Wang, Lin-xin Chen, Ching-ping Su
BMC Gastroenterology.2024;[Epub] CrossRef
No More NAFLD: The Term Is Now MASLD
Ji Cheol Bae
Endocrinology and Metabolism.2024; 39(1): 92. CrossRef
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
Digestive Diseases and Sciences.2024;[Epub] CrossRef
The association of Neuromedin U levels and non-alcoholic fatty liver disease: A comparative analysis
Murat Keskin, Sercan Avul, Aylin Beyaz, Nizameddin Koca
Heliyon.2024; 10(5): e27291. CrossRef
Oral Insulin Alleviates Liver Fibrosis and Reduces Liver Steatosis in Patients With Metabolic Dysfunction-associated Steatohepatitis and Type 2 Diabetes: Results of Phase II Randomized, Placebo-controlled Feasibility Clinical Trial
Yuval Ishay, Joel Neutel, Yotam Kolben, Ram Gelman, Orly Sneh Arbib, Oliver Lopez, Helena Katchman, Rizwana Mohseni, Miriam Kidron, Yaron Ilan
Gastro Hep Advances.2024; 3(3): 417. CrossRef
Comparative and Predictive Significance of Serum Leptin Levels in Non-alcoholic Fatty Liver Disease
Mehwish Qamar, Abeer Fatima, Ambreen Tauseef, Muhammad I Yousufzai, Ibrahim Liaqat, Qanbar Naqvi
Cureus.2024;[Epub] CrossRef
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
Endocrinology and Metabolism.2023; 38(4): 418. CrossRef
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
Cell Death & Disease.2023;[Epub] CrossRef
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
Liver International.2023; 43(12): 2713. 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
DPP-4 Inhibitor in Type 2 Diabetes Mellitus Patient with Non-Alcoholic Fatty Liver Disease: Achieving Two Goals at Once?
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.

Citations

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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
Digestive Diseases and Sciences.2024; 69(4): 1430. CrossRef
Association between nonalcoholic fatty liver disease and left ventricular diastolic dysfunction: A 7-year retrospective cohort study of 3,496 adults using serial echocardiography
Gyuri Kim, Tae Yang Yu, Jae Hwan Jee, Ji Cheol Bae, Mira Kang, Jae Hyeon Kim
Diabetes & Metabolism.2024; : 101534. CrossRef
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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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
Life 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
Serum Levels of Myonectin Are Lower in Adults with Metabolic Syndrome and Are Negatively Correlated with Android Fat Mass
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
Cytokine.2023; 167: 156211. CrossRef
Efficacy of high-intensity interval- or continuous aerobic-training on insulin resistance and muscle function in adults with metabolic syndrome: a clinical trial
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.
European Journal of Applied Physiology.2022; 122(2): 331. CrossRef
Reactive Oxygen and Nitrogen Species (RONS) and Cytokines—Myokines Involved in Glucose Uptake and Insulin Resistance in Skeletal Muscle
Paola Llanos, Jesus Palomero
Cells.2022; 11(24): 4008. CrossRef

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.

Citations

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Changes in Macronutrients during Dieting Lead to Weight Cycling and Metabolic Complications in Mouse Model
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
Weight variability, physical functioning and incident disability in older adults
Katie J. McMenamin, Tamara B. Harris, Joshua F. Baker
Journal of Cachexia, Sarcopenia and Muscle.2023; 14(4): 1648. CrossRef
Dulaglutide Ameliorates Palmitic Acid-Induced Hepatic Steatosis by Activating FAM3A Signaling Pathway
Jinmi Lee, Seok-Woo Hong, Min-Jeong Kim, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
Endocrinology and Metabolism.2022; 37(1): 74. CrossRef
Triglyceride and glucose index is a simple and easy‐to‐calculate marker associated with nonalcoholic fatty liver disease
Kyung‐Soo Kim, Sangmo Hong, Hong‐Yup Ahn, Cheol‐Young Park
Obesity.2022; 30(6): 1279. CrossRef
Metabolic (dysfunction)-associated fatty liver disease in individuals of normal weight
Mohammed Eslam, Hashem B. El-Serag, Sven Francque, Shiv K. Sarin, Lai Wei, Elisabetta Bugianesi, Jacob George
Nature Reviews Gastroenterology & Hepatology.2022; 19(10): 638. 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
Higher Weight Variability Could Bring You a Fatty Liver
Yeoree Yang, Jae-Hyoung Cho
Endocrinology and Metabolism.2021; 36(4): 766. CrossRef
Autonomic Imbalance Increases the Risk for Non-alcoholic Fatty Liver Disease
Inha Jung, Da Young Lee, Mi Yeon Lee, Hyemi Kwon, Eun-Jung Rhee, Cheol-Young Park, Ki-Won Oh, Won-Young Lee, Sung-Woo Park, Se Eun Park
Frontiers in Endocrinology.2021;[Epub] CrossRef

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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Postabsorptive and postprandial glucose and fat metabolism in postmenopausal women with breast cancer—Preliminary data after chemotherapy compared to healthy controls
Kristian Buch-Larsen, Linn Gillberg, Haboon Ismail Ahmed, Simone Diedrichsen Marstrand, Michael Andersson, Gerrit van Hall, Charlotte Brøns, Peter Schwarz
Nutrition.2024; 122: 112394. CrossRef
Essential Amino Acid-Enriched Diet Alleviates Dexamethasone-Induced Loss of Muscle Mass and Function through Stimulation of Myofibrillar Protein Synthesis and Improves Glucose Metabolism in Mice
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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
Journal of the Formosan Medical Association.2024; 123: S91. CrossRef
Diabete e sindrome metabolica nel paziente con iperaldosteronismo primario
Stella Bernardi, Valerio Velardi, Federica De Luca, Giulia Zuolo, Veronica Calabrò, Riccardo Candido, Bruno Fabris
L'Endocrinologo.2024; 25(1): 48. CrossRef
Prevalence, risk factors and evolution of diabetes mellitus after treatment in primary aldosteronism. Results from the SPAIN-ALDO registry
M. Araujo-Castro, M. Paja Fano, B. Pla Peris, M. González Boillos, E. Pascual-Corrales, A. M. García Cano, P. Parra Ramírez, P. Martín Rojas-Marcos, J. G. Ruiz-Sanchez, A. Vicente Delgado, E. Gómez Hoyos, R. Ferreira, I. García Sanz, M. Recasens Sala, R.
Journal of Endocrinological Investigation.2023; 46(11): 2343. CrossRef
Estimated glomerular filtration rate-dip after medical target therapy associated with increased mortality and cardiovascular events in patients with primary aldosteronism
Jia-Yuh Sheu, Shuo-Meng Wang, Vin-Cent Wu, Kuo-How Huang, Chi-Shin Tseng, Yuan-Ju Lee, Yao-Chou Tsai, Yen-Hung Lin, Jeff S. Chueh
Journal of Hypertension.2023; 41(9): 1401. CrossRef
Risk of dementia in primary aldosteronism compared with essential hypertension: a nationwide cohort study
Namki Hong, Kyoung Jin Kim, Min Heui Yu, Seong Ho Jeong, Seunghyun Lee, Jung Soo Lim, Yumie Rhee
Alzheimer's Research & Therapy.2023;[Epub] CrossRef
Secondary diabetes mellitus due to primary aldosteronism
Melpomeni Moustaki, Stavroula A. Paschou, Eleni C. Vakali, Andromachi Vryonidou
Endocrine.2022; 79(1): 17. CrossRef
Serum Cystatin C Levels Could Predict Rapid Kidney Function Decline in A Community-Based Population
Wei-Ching Fang, Hsing-Yu Chen, Shao-Chi Chu, Po-Hsi Wang, Chin-Chan Lee, I-Wen Wu, Chiao-Yin Sun, Heng-Jung Hsu, Chun-Yu Chen, Yung-Chang Chen, Vin-Cent Wu, Heng-Chih Pan
Biomedicines.2022; 10(11): 2789. CrossRef
Recovery from diabetes mellitus in primary aldosteronism patients after adrenalectomy
Yu Liu, Lede Lin, Chi Yuan, Sikui Shen, Yin Tang, Zhihong Liu, Yuchun Zhu, Liang Zhou
BMC Endocrine Disorders.2022;[Epub] CrossRef

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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Exploratory Longitudinal Analysis of the Circulating CHIT1 Activity in Pediatric Patients with Obesity
Ioana Țaranu, Nicoleta Răcătăianu, Cristina Drugan, Cristina-Sorina Cătană, Andreea-Manuela Mirea, Diana Miclea, Sorana D. Bolboacă
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Insulin Clearance in Health and Disease
Sonia M. Najjar, Sonia Caprio, Amalia Gastaldelli
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Influence of puberty on relationships between body composition and blood pressure: a cross-sectional study
Esther A. Kwarteng, Lisa M. Shank, Loie M. Faulkner, Lucy K. Loch, Syeda Fatima, Suryaa Gupta, Hannah E. Haynes, Kaitlin L. Ballenger, Megan N. Parker, Sheila M. Brady, Anna Zenno, Marian Tanofsky-Kraff, Jack A. Yanovski
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Distribution of OGTT-Related Variables in Patients with Cystic Fibrosis from Puberty to Adulthood: An Italian Multicenter Study
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Diana Paola Córdoba-Rodríguez, Iris Iglesia, Alejandro Gomez-Bruton, Gerardo Rodríguez, José Antonio Casajús, Hernan Morales-Devia, Luis A. Moreno
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Clinical Study
Serum Transferrin Predicts New-Onset Type 2 Diabetes in Koreans: A 4-Year Retrospective Longitudinal Study: Jong Dai Kim, Dong-Mee Lim, Keun-Young Park, Se Eun Park, Eun Jung Rhee, Cheol-Young Park, Won-Young Lee, Ki Won Oh; Endocrinol Metab. 2020;35(3):610-617. Published online September 22, 2020; DOI: https://doi.org/10.3803/EnM.2020.721

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Background
It is well known that high serum ferritin, a marker of iron storage, predicts incident type 2 diabetes. Limited information is available on the association between transferrin, another marker of iron metabolism, and type 2 diabetes. Thus, we investigated the association between transferrin and incident type 2 diabetes.
Methods
Total 31,717 participants (mean age, 40.4±7.2 years) in a health screening program in 2005 were assessed via cross-sectional analysis. We included 30,699 subjects who underwent medical check-up in 2005 and 2009 and did not have type 2 diabetes at baseline in this retrospective longitudinal analysis.
Results
The serum transferrin level was higher in the type 2 diabetes group than in the non-type 2 diabetes group (58.32±7.74 μmol/L vs. 56.17±7.96 μmol/L, P<0.001). Transferrin correlated with fasting serum glucose and glycosylated hemoglobin in the correlational analysis (r=0.062, P<0.001 and r=0.077, P<0.001, respectively) after full adjustment for covariates. Transferrin was more closely related to homeostasis model assessment of insulin resistance than to homeostasis model assessment of β cell function (r=0.042, P<0.001 and r=–0.019, P=0.004, respectively) after full adjustment. Transferrin predicted incident type 2 diabetes in non-type 2 diabetic subjects in a multivariate linear regression analysis; the odds ratio (95% confidence interval [CI]) of the 3rd tertile compared to that in the 1st tertile of transferrin for incident diabetes was 1.319 (95% CI, 1.082 to 1.607) after full adjustment (P=0.006).
Conclusion
Transferrin is positively associated with incident type 2 diabetes in Koreans.

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Review Articles

Obesity and Metabolism
Metabolically Healthy and Unhealthy Normal Weight and Obesity: Norbert Stefan; Endocrinol Metab. 2020;35(3):487-493. Published online August 20, 2020; DOI: https://doi.org/10.3803/EnM.2020.301

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Increased fat mass is an established risk factor for the cardiometabolic diseases type 2 diabetes and cardiovascular disease (CVD) and is associated with increased risk of all-cause and CVD mortality. However, also very low fat mass associates with such an increased risk. Whether impaired metabolic health, characterized by hypertension, dyslipidemia, hyperglycemia, insulin resistance, and subclinical inflammation, may explain part of the elevated risk of cardiometabolic diseases that is found in many subjects with very low fat mass, as it does in many obese subjects, is unknown. An important pathomechanism of impaired metabolic health is disproportionate fat distribution. In this article the risk of cardiometabolic diseases and mortality in subjects with metabolically healthy and unhealthy normal weight and obesity is summarized. Furthermore, the change of metabolic health during a longer period of follow-up and its impact on cardiometabolic diseases is being discussed. Finally, the implementation of the concept of metabolic health in daily clinical practice is being highlighted.

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Obesity and Metabolism
Nonalcoholic Fatty Liver Disease and Diabetes: An Epidemiological Perspective: Eun-Jung Rhee; Endocrinol Metab. 2019;34(3):226-233. Published online September 26, 2019; DOI: https://doi.org/10.3803/EnM.2019.34.3.226

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Nonalcoholic fatty liver disease (NAFLD) is thought to stem from the body's inability to store excess energy in adipocytes; as such, it is commonly viewed as the hepatic manifestation of metabolic syndrome. The pathogenesis of NAFLD involves ectopic fat accumulation, which also takes place in the liver, muscle and visceral fat. NAFLD is rapidly becoming more widespread in Korea, with an estimated prevalence of 30% in adults. Type 2 diabetes mellitus (T2DM) and NAFLD share insulin resistance as a common pathophysiological mechanism, and each of these two diseases affects the development of the other. Recent studies have suggested that NAFLD is often present as a comorbidity in T2DM patients. The mutual interrelationship between these conditions is shown by findings suggesting that T2DM can exacerbate NAFLD by promoting progression to nonalcoholic hepatosteatosis or fibrosis, while NAFLD causes the natural course of diabetic complications to worsen in T2DM patients. It remains unknown whether one disease is the cause of the other or vice versa. In this review, I would like to discuss current epidemiological data on the associations between NAFLD and T2DM, and how each disease affects the course of the other.

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Original Article

Clinical Study
Triglyceride Glucose Index Is Superior to the Homeostasis Model Assessment of Insulin Resistance for Predicting Nonalcoholic Fatty Liver Disease in Korean Adults: Sang Bae Lee, Min Kyung Kim, Shinae Kang, Kahui Park, Jung Hye Kim, Su Jung Baik, Ji Sun Nam, Chul Woo Ahn, Jong Suk Park; Endocrinol Metab. 2019;34(2):179-186. Published online May 20, 2019; DOI: https://doi.org/10.3803/EnM.2019.34.2.179

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Background

Recently, the triglyceride glucose (TyG) index has been considered a surrogate marker of insulin resistance which is a well-known pathogenic factor in nonalcoholic fatty liver disease (NAFLD). However, few studies have investigated the relationship between the TyG index and NAFLD. Thus, we investigated the relationship between the TyG index and NAFLD and the effectiveness of the TyG index compared with the homeostasis model assessment of insulin resistance (HOMA-IR) in identifying NAFLD in Korean adults.

Methods

Participants of 4,986 who underwent ultrasonography in a health promotion center were enrolled. The TyG index was calculated as ln [fasting triglycerides (mg/dL)×fasting glucose (mg/dL)/2], and HOMA-IR was estimated. NAFLD was diagnosed by ultrasonography.

Results

Significant differences were observed in metabolic parameters among the quartiles of the TyG index. The prevalence of NAFLD significantly increased with increment in the TyG index. After adjusting for multiple risk factors, a logistic regression analysis was performed. When the highest and lowest quartiles of the TyG index and HOMA-IR were compared, the odds ratios for the prevalence of NAFLD were 2.94 and 1.93 (95% confidence interval, 2.32 to 3.72 and 1.43 to 2.61; both P for trend <0.01), respectively. According to the receiver operating characteristic analysis, the TyG index was superior to HOMA-IR in predicting NAFLD.

Conclusion

The TyG index and prevalence of NAFLD were significantly related and the TyG index was superior to HOMA-IR in predicting NAFLD in Korean adults.

Citations

Citations to this article as recorded by

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Review Articles

Obesity and Metabolism
Myths about Insulin Resistance: Tribute to Gerald Reaven: Sun H. Kim, Fahim Abbasi; Endocrinol Metab. 2019;34(1):47-52. Published online March 21, 2019; DOI: https://doi.org/10.3803/EnM.2019.34.1.47

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Gerald Reaven was often called the “father of insulin resistance.” On the 1-year anniversary of his death in 2018, we challenge three myths associated with insulin resistance: metformin improves insulin resistance; measurement of waist circumference predicts insulin resistance better than body mass index; and insulin resistance causes weight gain. In this review, we highlight Reaven's relevant research that helped to dispel these myths associated with insulin resistance.

Citations

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Obesity and Metabolism
Implications of Mitochondrial Unfolded Protein Response and Mitokines: A Perspective on Fatty Liver Diseases: Hyon-Seung Yi; Endocrinol Metab. 2019;34(1):39-46. Published online March 21, 2019; DOI: https://doi.org/10.3803/EnM.2019.34.1.39

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The signaling network of the mitochondrial unfolded protein response (UPR^mt) and mitohormesis is a retrograde signaling pathway through which mitochondria-to-nucleus communication occurs in organisms. Recently, it has been shown that the UPR^mt is closely associated with metabolic disorders and conditions involving insulin resistance, such as alcoholic and non-alcoholic fatty liver and fibrotic liver disease. Scientific efforts to understand the UPR^mt and mitohormesis, as well as to establish the mitochondrial proteome, have established the importance of mitochondrial quality control in the development and progression of metabolic liver diseases, including non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH). In this review, we integrate and discuss the recent data from the literature on the UPR^mt and mitohormesis in metabolic liver diseases, including NAFLD/NASH and fibrosis.

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Original Article

Obesity and Metabolism
Metabolic Syndrome and Insulin Resistance Syndrome among Infertile Women with Polycystic Ovary Syndrome: A Cross-Sectional Study from Central Vietnam: Minh Tam Le, Vu Quoc Huy Nguyen, Quang Vinh Truong, Dinh Duong Le, Viet Nguyen Sa Le, Ngoc Thanh Cao; Endocrinol Metab. 2018;33(4):447-458. Published online November 30, 2018; DOI: https://doi.org/10.3803/EnM.2018.33.4.447

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Background

Polycystic ovarian syndrome (PCOS) is one of the most common endocrinopathies among reproductive-age women. Its metabolic features often overlap with those associated with metabolic syndrome (MS) and insulin resistance syndrome (IRS). The objective of this study was to determine the prevalence and predictors of MS and IRS in infertile Vietnamese women with PCOS.

Methods

A cross-sectional study was conducted at a tertiary fertility centre at Hue University Hospital from June 2016 to November 2017. A total of 441 infertile women diagnosed with PCOS based on the revised 2003 Rotterdam consensus criteria were enrolled. MS and IRS were defined based on the National Heart, Lung, and Blood Institute/American Heart Association Adult Treatment Panel III 2005 and American College of Endocrinology IRS 2003 criteria, respectively. Complete clinical and biochemical measurements of 318 women were available for analysis. Independent predictors of MS and IRS were identified using multivariate logistic regression.

Results

The overall prevalence of MS and IRS in women with PCOS was 10.4% and 27.0%, respectively. We identified older age (>30 years) and obesity as independent predictors of MS and IRS. Elevated anti-Müllerian hormone levels increased the risk of IRS, but not that of MS.

Conclusion

MS and IRS are prevalent disorders among infertile Vietnamese women with PCOS. PCOS is not solely a reproductive problem. Screening and early intervention for MS and/or IRS based on anthropometric, metabolic, and reproductive hormone risk factors should be an integral part of fertility care.

Citations

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Mustafa Can, Cevdet Duran, Ibrahim Guney, Halis Elmas, Mehmet Ayhan, Said Sami Erdem
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Effect of Central Obesity and Hyperandrogenism on Selected Inflammatory Markers in Patients with PCOS: A WHtR-Matched Case-Control Study
Małgorzata Kałużna, Magdalena Człapka-Matyasik, Katarzyna Wachowiak-Ochmańska, Jerzy Moczko, Jolanta Kaczmarek, Adam Janicki, Katarzyna Piątek, Marek Ruchała, Katarzyna Ziemnicka
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