Skip Navigation
Skip to contents

Endocrinol Metab : Endocrinology and Metabolism

clarivate
OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
36 "Metabolic syndrome"
Filter
Filter
Article type
Keywords
Publication year
Authors
Funded articles
Original Articles
Diabetes, obesity and metabolism
Big Data Articles (National Health Insurance Service Database)
Long-Term Cumulative Exposure to High γ-Glutamyl Transferase Levels and the Risk of Cardiovascular Disease: A Nationwide Population-Based Cohort Study
Han-Sang Baek, Bongseong Kim, Seung-Hwan Lee, Dong-Jun Lim, Hyuk-Sang Kwon, Sang-Ah Chang, Kyungdo Han, Jae-Seung Yun
Endocrinol Metab. 2023;38(6):770-781.   Published online November 6, 2023
DOI: https://doi.org/10.3803/EnM.2023.1726
  • 1,109 View
  • 48 Download
  • 1 Web of Science
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Elevated γ-glutamyl transferase (γ-GTP) levels are associated with metabolic syndrome. We investigated the association of cumulative exposure to high γ-GTP with the risk of cardiovascular disease (CVD) in a large-scale population.
Methods
Using nationally representative data from the Korean National Health Insurance system, 1,640,127 people with 4 years of consecutive γ-GTP measurements from 2009 to 2012 were included and followed up until the end of 2019. For each year of the study period, participants were grouped by the number of exposures to the highest γ-GTP quartile (0–4), and the sum of quartiles (0–12) was defined as cumulative γ-GTP exposure. The hazard ratio for CVD was evaluated using the Cox proportional hazards model.
Results
During the 6.4 years of follow-up, there were 15,980 cases (0.97%) of myocardial infarction (MI), 14,563 (0.89%) of stroke, 29,717 (1.81%) of CVD, and 25,916 (1.58%) of death. Persistent exposure to high γ-GTP levels was associated with higher risks of MI, stroke, CVD, and death than those without such exposure. The risks of MI, stroke, CVD, and mortality increased in a dose-dependent manner according to total cumulative γ-GTP (all P for trend <0.0001). Subjects younger than 65 years, with a body mass index <25 kg/m2, and without hypertension or fatty liver showed a stronger relationship between cumulative γ-GTP and the incidence of MI, CVD, and death.
Conclusion
Cumulative γ-GTP elevation is associated with CVD. γ-GTP could be more widely used as an early marker of CVD risk, especially in individuals without traditional CVD risk factors.
Close layer
Diabetes, Obesity and Metabolism
Association of Shift Work with Normal-Weight Obesity in Community-Dwelling Adults
Chul Woo Ahn, Sungjae Shin, Seunghyun Lee, Hye-Sun Park, Namki Hong, Yumie Rhee
Endocrinol Metab. 2022;37(5):781-790.   Published online October 25, 2022
DOI: https://doi.org/10.3803/EnM.2022.1532
  • 3,264 View
  • 189 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Shift work is associated with obesity and metabolic syndrome. However, this association in the normal-weight population remains unclear. This study aimed to investigate whether shift work is associated with normal-weight obesity (NWO).
Methods
From the nationally representative Korea National Health and Nutrition Examination Survey (KNHANES) dataset (2008 to 2011), 3,800 full-time workers aged ≥19 years with a body mass index (BMI) ≤25 kg/m2 were analysed. We defined NWO as BMI ≤25 kg/m2 and body fat percentage ≥25% in men and ≥37% in women. Working patterns were classified into “daytime,” “other than daytime,” and “shift.” Multivariable logistic regression analysis was performed to evaluate the relationship between shift work and NWO.
Results
Shift work was associated with higher odds of NWO than daytime work (adjusted odds ratio [aOR], 1.47; 95% confidence interval [CI], 1.04 to 2.09) and night/evening work (aOR, 1.87; 95% CI, 1.11 to 3.14) after adjustment for type of work, working hours, age, sex, BMI, 25-hydroxyvitamin D levels, homeostatic model assessment for insulin resistance, and other sociodemographic factors. In subgroup analyses, the association between shift work and NWO was more robust in those aged ≥60 years and those working ≥56 hours/week.
Conclusion
Shift work was associated with NWO in community-dwelling Korean adults, independent of age, sex, BMI, and other covariates.

Citations

Citations to this article as recorded by  
  • Impaired Melatonin Secretion, Oxidative Stress and Metabolic Syndrome in Night Shift Work
    Sorina Hohor, Cristina Mandanach, Andreea Maftei, Corina Aurelia Zugravu, Marina Ruxandra Oțelea
    Antioxidants.2023; 12(4): 959.     CrossRef
  • Normal-Weight Obesity and Metabolic Syndrome in Korean Adults: A Population-Based Cross-Sectional Study
    Jeonghyeon Kim, Seamon Kang, Hyunsik Kang
    Healthcare.2023; 11(16): 2303.     CrossRef
  • You Can’t Avoid Shift Work? Then Focus on Body Fat Rather than Weight
    Eun Kyung Lee
    Endocrinology and Metabolism.2022; 37(5): 756.     CrossRef
Close layer
Diabetes, Obesity and Metabolism
High Cardiorespiratory Fitness Protects against Molecular Impairments of Metabolism, Heart, and Brain with Higher Efficacy in Obesity-Induced Premature Aging
Patcharapong Pantiya, Chanisa Thonusin, Natticha Sumneang, Benjamin Ongnok, Titikorn Chunchai, Sasiwan Kerdphoo, Thidarat Jaiwongkam, Busarin Arunsak, Natthaphat Siri-Angkul, Sirawit Sriwichaiin, Nipon Chattipakorn, Siriporn C. Chattipakorn
Endocrinol Metab. 2022;37(4):630-640.   Published online August 5, 2022
DOI: https://doi.org/10.3803/EnM.2022.1430
  • 4,019 View
  • 122 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
High cardiorespiratory fitness (CRF) protects against age-related diseases. However, the mechanisms mediating the protective effect of high intrinsic CRF against metabolic, cardiac, and brain impairments in non-obese versus obese conditions remain incompletely understood. We aimed to identify the mechanisms through which high intrinsic CRF protects against metabolic, cardiac, and brain impairments in non-obese versus obese untrained rats.
Methods
Seven-week-old male Wistar rats were divided into two groups (n=8 per group) to receive either a normal diet or a highfat diet (HFD). At weeks 12 and 28, CRF, carbohydrate and fatty acid oxidation, cardiac function, and metabolic parameters were evaluated. At week 28, behavior tests were performed. At the end of week 28, rats were euthanized to collect heart and brain samples for molecular studies.
Results
The obese rats exhibited higher values for aging-related parameters than the non-obese rats, indicating that they experienced obesity-induced premature aging. High baseline CRF levels were positively correlated with several favorable metabolic, cardiac, and brain parameters at follow-up. Specifically, the protective effects of high CRF against metabolic, cardiac, and brain impairments were mediated by the modulation of body weight and composition, the lipid profile, substrate oxidation, mitochondrial function, insulin signaling, autophagy, apoptosis, inflammation, oxidative stress, cardiac function, neurogenesis, blood-brain barrier, synaptic function, accumulation of Alzheimer’s disease-related proteins, and cognition. Interestingly, this effect was more obvious in HFD-fed rats.
Conclusion
The protective effect of high CRF is mediated by the modulation of several mechanisms. These effects exhibit greater efficacy under conditions of obesity-induced premature aging.

Citations

Citations to this article as recorded by  
  • Associations that Cardiorespiratory Fitness and Body Mass Index Loss Have with Deficit Accumulation Frailty
    KAYLONI OLSON, DENISE K. HOUSTON, JOHNATHAN ROSS, RENA R. WING, FELICIA R. SIMPSON, AMBARISH PANDEY, MICHAEL P. WALKUP, MIA YANG, MARK A. ESPELAND
    Medicine & Science in Sports & Exercise.2024; 56(4): 717.     CrossRef
  • Interplay between obesity and aging on myocardial geometry and function: Role of leptin-STAT3-stress signaling
    Wei Jin, Fei Tu, Feng Dong, Qinqin Deng, Miyesaier Abudureyimu, Wei Yu, Guo-jun Cai, Jian-ming Pei, Zhaohui Pei, Jun Ren
    Biochimica et Biophysica Acta (BBA) - General Subjects.2023; 1867(2): 130281.     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
Close layer
Diabetes, Obesity and Metabolism
Prognostic Value of Triglyceride and Glucose Index for Incident Type 2 Diabetes beyond Metabolic Health and Obesity
Hwi Seung Kim, Jiwoo Lee, Yun Kyung Cho, Eun Hee Kim, Min Jung Lee, Hong-Kyu Kim, Joong-Yeol Park, Woo Je Lee, Chang Hee Jung
Endocrinol Metab. 2021;36(5):1042-1054.   Published online October 21, 2021
DOI: https://doi.org/10.3803/EnM.2021.1184
  • 5,273 View
  • 133 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Metabolically healthy obese (MHO) phenotype is metabolically heterogeneous in terms of type 2 diabetes (T2D). Previously, the triglyceride and glucose (TyG) index has been considered for identifying metabolic health and future risk of T2D. This study aimed to evaluate the risk of incident T2D according to obesity status and metabolic health, categorized by four different criteria and the TyG index.
Methods
The study included 39,418 Koreans without T2D at baseline. The risk of T2D was evaluated based on four different definitions of metabolic health and obesity status and according to the baseline TyG index within each metabolic health and obesity group.
Results
During the median follow-up at 38.1 months, 726 individuals developed T2D. Compared with the metabolically healthy non-obese (MHNO) group with low TyG index, the MHO group with high TyG index showed increased risk of T2D in all four definitions of metabolic health with multivariate-adjusted hazard ratios of 2.57 (95% confidence interval [CI], 1.76 to 3.75), 3.72 (95% CI, 2.15 to 6.43), 4.13 (95% CI, 2.67 to 6.38), and 3.05 (95% CI, 2.24 to 4.15), when defined by Adult Treatment Panel III, Wildman, Karelis, and homeostasis model assessment (HOMA) criteria, respectively.
Conclusion
MHO subjects with high TyG index were at an increased risk of developing T2D compared with MHNO subjects, regardless of the definition of metabolic health. TyG index may serve as an additional factor for predicting the individual risk of incident T2D in MHO subjects.
Close layer
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
  • 5,057 View
  • 137 Download
  • 6 Web of Science
  • 8 Crossref
AbstractAbstract PDFPubReader   ePub   
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 (VOpeak) (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 VOpeak, 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.

Citations

Citations to this article as recorded by  
  • 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
Close layer
Adrenal Gland
Lipid Profiles in Primary Aldosteronism Compared with Essential Hypertension: Propensity-Score Matching Study
Sun Joon Moon, Han Na Jang, Jung Hee Kim, Min Kyong Moon
Endocrinol Metab. 2021;36(4):885-894.   Published online August 10, 2021
DOI: https://doi.org/10.3803/EnM.2021.1012
  • 3,187 View
  • 138 Download
  • 4 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
There has been controversy regarding the association between primary aldosteronism (PA) and dyslipidemia and few studies considered the effects of diabetes and renal function on lipid metabolism. We analyzed lipid profiles of PA patients and compared them to propensity-score (PS)-matched essential hypertension (EH) patients adjusting for glycemic status and renal function.
Methods
Patients who were diagnosed with PA using a saline-infusion test at Seoul National University Hospital from 2000 to 2018 were retrospectively analyzed. EH patients who had aldosterone-renin ratio (ARR) results were selected as controls. Covariates, including diabetes, were PS-matched for patients with PA, lateralized PA, non-lateralized PA, and high ARR to EH patients, respectively.
Results
Among a total of 80 PA and 80 EH patients, total cholesterol (TC) and triglyceride (TG) levels were significantly lower in the PA patients than in the EH patients (least-squares mean±standard error: 185.5±4.4 mg/dL vs. 196.2±4.4 mg/dL, P=0.047, for TC; and 132.3±11.5 mg/dL vs. 157.4±11.4 mg/dL, P=0.035, for TG) in fully adjusted model (adjusting for multiple covariates, including diabetes status, glycosylated hemoglobin level, and estimated glomerular filtration rate). There were no significant differences in high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol levels between the two groups. According to increments in aldosterone levels, an increasing tendency of HDL-C and decreasing tendencies of TG and non-HDL-C were observed.
Conclusion
PA patients had lower TC and TG levels than EH patients, independent of glycemic status and renal function.

Citations

Citations to this article as recorded by  
  • Comparison of saline infusion test and captopril challenge test in the diagnosis of Chinese with primary aldosteronism in different age groups
    Kaiwen Sun, Minghui Gong, Yang Yu, Minghui Yang, Ying Zhang, Yinong Jiang, Wei Song
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Meta‐analysis of blood parameters related to lipid and glucose metabolism between two subtypes of primary aldosteronism
    Qiu‐Gen Zhu, Feng Zhu
    The Journal of Clinical Hypertension.2023; 25(1): 13.     CrossRef
  • 2023 Korean Endocrine Society Consensus Guidelines for the Diagnosis and Management of Primary Aldosteronism
    Jeonghoon Ha, Jung Hwan Park, Kyoung Jin Kim, Jung Hee Kim, Kyong Yeun Jung, Jeongmin Lee, Jong Han Choi, Seung Hun Lee, Namki Hong, Jung Soo Lim, Byung Kwan Park, Jung-Han Kim, Kyeong Cheon Jung, Jooyoung Cho, Mi-kyung Kim, Choon Hee Chung
    Endocrinology and Metabolism.2023; 38(6): 597.     CrossRef
  • The differences of serum lipid profiles between primary aldosteronism and essential hypertension: a meta-analysis and systematic review
    Worapaka Manosroi, Pitchaporn Phudphong, Pichitchai Atthakomol, Mattabhorn Phimphilai
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
Close layer
Diabetes, Obesity and Metabolism
Expression of LONP1 Is High in Visceral Adipose Tissue in Obesity, and Is Associated with Glucose and Lipid Metabolism
Ju Hee Lee, Saet-Byel Jung, Seong Eun Lee, Ji Eun Kim, Jung Tae Kim, Yea Eun Kang, Seul Gi Kang, Hyon-Seung Yi, Young Bok Ko, Ki Hwan Lee, Bon Jeong Ku, Minho Shong, Hyun Jin Kim
Endocrinol Metab. 2021;36(3):661-671.   Published online June 22, 2021
DOI: https://doi.org/10.3803/EnM.2021.1023
  • 4,493 View
  • 151 Download
  • 7 Web of Science
  • 6 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The nature and role of the mitochondrial stress response in adipose tissue in relation to obesity are not yet known. To determine whether the mitochondrial unfolded protein response (UPRmt) in adipose tissue is associated with obesity in humans and rodents.
Methods
Visceral adipose tissue (VAT) was obtained from 48 normoglycemic women who underwent surgery. Expression levels of mRNA and proteins were measured for mitochondrial chaperones, intrinsic proteases, and components of electron-transport chains. Furthermore, we systematically analyzed metabolic phenotypes with a large panel of isogenic BXD inbred mouse strains and Genotype-Tissue Expression (GTEx) data.
Results
In VAT, expression of mitochondrial chaperones and intrinsic proteases localized in inner and outer mitochondrial membranes was not associated with body mass index (BMI), except for the Lon protease homolog, mitochondrial, and the corresponding gene LONP1, which showed high-level expression in the VAT of overweight or obese individuals. Expression of LONP1 in VAT positively correlated with BMI. Analysis of the GTEx database revealed that elevation of LONP1 expression is associated with enhancement of genes involved in glucose and lipid metabolism in VAT. Mice with higher Lonp1 expression in adipose tissue had better systemic glucose metabolism than mice with lower Lonp1 expression.
Conclusion
Expression of mitochondrial LONP1, which is involved in the mitochondrial quality control stress response, was elevated in the VAT of obese individuals. In a bioinformatics analysis, high LONP1 expression in VAT was associated with enhanced glucose and lipid metabolism.

Citations

Citations to this article as recorded by  
  • LONP1 ameliorates liver injury and improves gluconeogenesis dysfunction in acute-on-chronic liver failure
    Muchen Wu, Jing Wu, Kai Liu, Minjie Jiang, Fang Xie, Xuehong Yin, Jushan Wu, Qinghua Meng
    Chinese Medical Journal.2024; 137(2): 190.     CrossRef
  • Mitochondrial quality control proteases and their modulation for cancer therapy
    Jiangnan Zhang, Wenliang Qiao, Youfu Luo
    Medicinal Research Reviews.2023; 43(2): 399.     CrossRef
  • Effects of Obesity and Calorie Restriction on Cancer Development
    Ekaterina Sergeeva, Tatiana Ruksha, Yulia Fefelova
    International Journal of Molecular Sciences.2023; 24(11): 9601.     CrossRef
  • Mitochondrial Dysfunction Associated with mtDNA in Metabolic Syndrome and Obesity
    Natalia Todosenko, Olga Khaziakhmatova, Vladimir Malashchenko, Kristina Yurova, Maria Bograya, Maria Beletskaya, Maria Vulf, Natalia Gazatova, Larisa Litvinova
    International Journal of Molecular Sciences.2023; 24(15): 12012.     CrossRef
  • Down‐regulation of Lon protease 1 lysine crotonylation aggravates mitochondrial dysfunction in polycystic ovary syndrome
    Yuan Xie, Shuwen Chen, Zaixin Guo, Ying Tian, Xinyu Hong, Penghui Feng, Qiu Xie, Qi Yu
    MedComm.2023;[Epub]     CrossRef
  • The mitochondrial unfolded protein response: A multitasking giant in the fight against human diseases
    Zixin Zhou, Yumei Fan, Ruikai Zong, Ke Tan
    Ageing Research Reviews.2022; 81: 101702.     CrossRef
Close layer
Diabetes, Obesity and Metabolism
Efficacy and Safety of the New Appetite Suppressant, Liraglutide: A Meta-Analysis of Randomized Controlled Trials
Shinje Moon, Jibeom Lee, Hye Soo Chung, Yoon Jung Kim, Jae Myung Yu, Sung Hoon Yu, Chang-Myung Oh
Endocrinol Metab. 2021;36(3):647-660.   Published online June 18, 2021
DOI: https://doi.org/10.3803/EnM.2020.934
  • 6,147 View
  • 302 Download
  • 13 Web of Science
  • 14 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Obesity is a chronic disease associated with metabolic diseases such as diabetes and cardiovascular disease. Since the U.S. Food and Drug Administration approved liraglutide as an anti-obesity drug for nondiabetic patients in 2014, it has been widely used for weight control in overweight and obese people. This study aimed to systematically analyze the effects of liraglutide on body weight and other cardiometabolic parameters.
Methods
We investigated articles from PubMed, EMBASE, and the Cochrane Library to search randomized clinical trials that examined body weight changes with liraglutide treatment.
Results
We included 31 studies with 8,060 participants for this meta-analysis. The mean difference (MD) between the liraglutide group and the placebo group was −4.19 kg (95% confidence interval [CI], −4.84 to −3.55), with a −4.16% change from the baseline (95% CI, −4.90 to −3.43). Liraglutide treatment correlated with a significantly reduced body mass index (MD: −1.55; 95% CI, −1.76 to −1.34) and waist circumference (MD: −3.11 cm; 95% CI, −3.59 to −2.62) and significantly decreased blood pressure (systolic blood pressure, MD: −2.85 mm Hg; 95% CI, −3.36 to −2.35; diastolic blood pressure, MD: −0.66 mm Hg; 95% CI, −1.02 to −0.30), glycated hemoglobin (MD: −0.40%; 95% CI, −0.49 to −0.31), and low-density lipoprotein cholesterol (MD: –2.91 mg/dL; 95% CI, −5.28 to −0.53; MD: −0.87% change from baseline; 95% CI, −1.17 to −0.56).
Conclusion
Liraglutide is effective for weight control and can be a promising drug for cardiovascular protection in overweight and obese people.

Citations

Citations to this article as recorded by  
  • Pharmacotherapy for obesity: moving towards efficacy improvement
    Walmir Coutinho, Bruno Halpern
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Physiopathology and Treatment of Obesity and Overweight: A Proposal for a New Anorectic
    Bruno Silvestrini, Mauro Silvestrini, Mayank Choubey
    Journal of Obesity.2024; 2024: 1.     CrossRef
  • Side effect profile of pharmacologic therapies for liver fibrosis in nonalcoholic fatty liver disease: a systematic review and network meta-analysis
    Yilin Li, Rong Lei, Honglin Lei, Qin Xiong, Fengjiao Xie, Chengjiao Yao, Peimin Feng
    European Journal of Gastroenterology & Hepatology.2023; 35(1): 1.     CrossRef
  • Recommendations for the prevention and management of obesity in the Iraqi population
    Hussein Ali Nwayyir, Esraa Majid Mutasher, Osama Mohammed Alabid, Muthana Abdulrazzaq Jabbar, Wefak Hasan Abdulraheem Al-Kawaz, Haider Ayad Alidrisi, Majid Alabbood, Muhammed Chabek, Munib AlZubaidi, Lujain Anwar Al-khazrajy, Ibtihal Shukri Abd Alhaleem,
    Postgraduate Medicine.2023; 135(5): 425.     CrossRef
  • A Comprehensive Review on Weight Loss Associated with Anti-Diabetic Medications
    Fatma Haddad, Ghadeer Dokmak, Maryam Bader, Rafik Karaman
    Life.2023; 13(4): 1012.     CrossRef
  • Liraglutide, a glucagon-like peptide-1 analog, in individuals with obesity in clinical practice
    Juyoung Shin, Raeun Kim, Hun-Sung Kim
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 49.     CrossRef
  • The effects of subcutaneous Tirzepatide on obesity and overweight: a systematic review and meta‐regression analysis of randomized controlled trials
    Pejman Rohani, Nasser Malekpour Alamdari, Seyedeh Elaheh Bagheri, Azita Hekmatdoost, Mohammad Hassan Sohouli
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Efficacy and safety of liraglutide for weight management in children and adolescents: a systematic review and meta-analysis of randomized controlled trials
    Hao Gou, Yiman Zhai, Junjun Guo
    European Journal of Pediatrics.2023; 182(11): 5095.     CrossRef
  • Efficacy and safety of once-weekly semaglutide in adults with overweight or obesity: a meta-analysis
    Ping Zhong, Hai Zeng, Miaochun Huang, Wenbin Fu, Zhixia Chen
    Endocrine.2022; 75(3): 718.     CrossRef
  • Pharmacological profile of once-weekly injectable semaglutide for chronic weight management
    David C. W. Lau, Rachel L Batterham, Carel W. le Roux
    Expert Review of Clinical Pharmacology.2022; 15(3): 251.     CrossRef
  • Pharmacological Management of Obesity: A Century of Expert Opinions in Cecil Textbook of Medicine
    Peter Manu, Cristina-Mihaela Lăcătuşu, Liliana M. Rogozea, Simona Cernea
    American Journal of Therapeutics.2022; 29(4): e410.     CrossRef
  • GLP-1 agonists: superior for mind and body in antipsychotic-treated patients?
    Katerina Horska, Jana Ruda-Kucerova, Silje Skrede
    Trends in Endocrinology & Metabolism.2022; 33(9): 628.     CrossRef
  • Targeting skeletal muscle mitochondrial health in obesity
    Chantal A. Pileggi, Breana G. Hooks, Ruth McPherson, Robert R.M. Dent, Mary-Ellen Harper
    Clinical Science.2022; 136(14): 1081.     CrossRef
  • A Study on Weight Loss Cause as per the Side Effect of Liraglutide
    Jin Yu, Jeongmin Lee, Seung-Hwan Lee, Jae-Hyung Cho, Hun-Sung Kim, Heng Zhou
    Cardiovascular Therapeutics.2022; 2022: 1.     CrossRef
Close layer
Clinical Study
High Serum-Induced AhRL Is Associated with Prevalent Metabolic Syndrome and Future Impairment of Glucose Tolerance in the Elderly
Youngmi Kim Pak, Hoon Sung Choi, Wook Ha Park, Suyeol Im, P. Monica Lind, Lars Lind, Hong Kyu Lee
Endocrinol Metab. 2021;36(2):436-446.   Published online April 19, 2021
DOI: https://doi.org/10.3803/EnM.2020.883
  • 3,895 View
  • 110 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
High circulating levels of dioxins and dioxin-like chemicals, acting via the aryl hydrocarbon receptor (AhR), have previously been linked to diabetes. We now investigated whether the serum AhR ligands (AhRL) were higher in subjects with metabolic syndrome (MetS) and in subjects who had developed a worsened glucose tolerance over time.
Methods
Serum AhRL at baseline was measured by a cell-based AhRL activity assay in 70-year-old subjects (n=911) in the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study. The main outcome measures were prevalent MetS and worsening of glucose tolerance over 5 years of follow-up.
Results
AhRL was significantly elevated in subjects with prevalent MetS as compared to those without MetS, following adjustment for sex, smoking, exercise habits, alcohol intake and educational level (P=0.009). AhRL at baseline was higher in subjects who developed impaired fasting glucose or diabetes at age 75 years than in those who remained normoglycemic (P=0.0081). The odds ratio (OR) of AhRL for worsening glucose tolerance over 5 years was 1.43 (95% confidence interval [CI], 1.13 to 1.81; P=0.003, continuous variables) and 2.81 (95% CI, 1.31 to 6.02; P=0.008, in the highest quartile) adjusted for sex, life style factors, body mass index, and glucose.
Conclusion
These findings support a large body of epidemiologic evidence that exposure to AhR transactivating substances, such as dioxins and dioxin-like chemicals, might be involved in the pathogenesis of MetS and diabetes development. Measurement of serum AhRL in humans can be a useful tool in predicting the onset of metabolic disorders.

Citations

Citations to this article as recorded by  
  • An Interactive Online App for Predicting Diabetes via Machine Learning from Environment-Polluting Chemical Exposure Data
    Rosy Oh, Hong Kyu Lee, Youngmi Kim Pak, Man-Suk Oh
    International Journal of Environmental Research and Public Health.2022; 19(10): 5800.     CrossRef
  • A Novel Aryl Hydrocarbon Receptor Antagonist HBU651 Ameliorates Peripheral and Hypothalamic Inflammation in High-Fat Diet-Induced Obese Mice
    Sora Kang, Aden Geonhee Lee, Suyeol Im, Seung Jun Oh, Hye Ji Yoon, Jeong Ho Park, Youngmi Kim Pak
    International Journal of Molecular Sciences.2022; 23(23): 14871.     CrossRef
Close layer
Clinical Study
Big Data Articles (National Health Insurance Service Database)
Cumulative Exposure to Metabolic Syndrome Components and the Risk of Dementia: A Nationwide Population-Based Study
Yunjung Cho, Kyungdo Han, Da Hye Kim, Yong-Moon Park, Kun-Ho Yoon, Mee Kyoung Kim, Seung-Hwan Lee
Endocrinol Metab. 2021;36(2):424-435.   Published online April 14, 2021
DOI: https://doi.org/10.3803/EnM.2020.935
  • 5,496 View
  • 182 Download
  • 13 Web of Science
  • 13 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Metabolic disturbances are modifiable risk factors for dementia. Because the status of metabolic syndrome (MetS) and its components changes over time, we aimed to investigate the association of the cumulative exposure to MetS and its components with the risk of dementia.
Methods
Adults (n=1,492,776; ≥45-years-old) who received health examinations for 4 consecutive years were identified from a nationwide population-based cohort in Korea. Two exposure-weighted scores were calculated: cumulative number of MetS diagnoses (MetS exposure score, range of 0 to 4) and the composite of its five components (MetS component exposure score, range of 0 to 20). Hazard ratio (HR) and 95% confidence interval (CI) values for dementia were analyzed using the multivariable Cox proportional-hazards model.
Results
Overall, 47.1% of subjects were diagnosed with MetS at least once, and 11.5% had persistent MetS. During the mean 5.2 years of follow-up, there were 7,341 cases (0.5%) of incident dementia. There was a stepwise increase in the risk of all-cause dementia, Alzheimer’s disease, and vascular dementia with increasing MetS exposure score and MetS component exposure score (each P for trend <0.0001). The HR of all-cause dementia was 2.62 (95% CI, 1.87 to 3.68) in subjects with a MetS component exposure score of 20 compared with those with a score of 0. People fulfilling only one MetS component out of 20 already had an approximately 40% increased risk of all-cause dementia and Alzheimer’s disease.
Conclusion
More cumulative exposure to metabolic disturbances was associated with a higher risk of dementia. Of note, even minimal exposure to MetS components had a significant effect on the risk of dementia.

Citations

Citations to this article as recorded by  
  • Association between metabolic syndrome and risk of incident dementia in UK Biobank
    Danial Qureshi, Jennifer Collister, Naomi E. Allen, Elżbieta Kuźma, Thomas Littlejohns
    Alzheimer's & Dementia.2024; 20(1): 447.     CrossRef
  • Cumulative exposure to metabolic syndrome affects the risk of psoriasis differently according to age group: a nationwide cohort study in South Korea
    Se Young Jung, Kyungdo Han, Jin Hyung Jung, Hyunsun Park, Dong Wook Shin
    British Journal of Dermatology.2024; 190(3): 447.     CrossRef
  • Electroacupuncture stimulation improves cognitive ability and regulates metabolic disorders in Alzheimer’s disease model mice: new insights from brown adipose tissue thermogenesis
    Ting Li, Junjian Tian, Meng Wu, Yuanshuo Tian, Zhigang Li
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Investigating the nexus of metabolic syndrome, serum uric acid, and dementia risk: a prospective cohort study
    Tara SR Chen, Ning-Ning Mi, Hubert Yuenhei Lao, Chen-Yu Wang, Wai Leung Ambrose Lo, Yu-Rong Mao, Yan Tang, Zhong Pei, Jin-Qiu Yuan, Dong-Feng Huang
    BMC Medicine.2024;[Epub]     CrossRef
  • Clustering of Cardiometabolic Risk Factors and Dementia Incidence in Older Adults: A Cross-Country Comparison in England, the United States, and China
    Panagiota Kontari, Chris Fife-Schaw, Kimberley Smith, Lewis A Lipsitz
    The Journals of Gerontology: Series A.2023; 78(6): 1035.     CrossRef
  • Predicting the Risk of Insulin-Requiring Gestational Diabetes before Pregnancy: A Model Generated from a Nationwide Population-Based Cohort Study in Korea
    Seung-Hwan Lee, Jin Yu, Kyungdo Han, Seung Woo Lee, Sang Youn You, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim
    Endocrinology and Metabolism.2023; 38(1): 129.     CrossRef
  • Metabolic syndrome and the risk of postoperative delirium and postoperative cognitive dysfunction: a multi-centre cohort study
    Insa Feinkohl, Jürgen Janke, Arjen J.C. Slooter, Georg Winterer, Claudia Spies, Tobias Pischon
    British Journal of Anaesthesia.2023; 131(2): 338.     CrossRef
  • Is metabolic-healthy obesity associated with risk of dementia? An age-stratified analysis of the Whitehall II cohort study
    Marcos D. Machado-Fragua, Séverine Sabia, Aurore Fayosse, Céline Ben Hassen, Frank van der Heide, Mika Kivimaki, Archana Singh-Manoux
    BMC Medicine.2023;[Epub]     CrossRef
  • Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
    Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee
    Scientific Reports.2023;[Epub]     CrossRef
  • Early metabolic impairment as a contributor to neurodegenerative disease: Mechanisms and potential pharmacological intervention
    Walaa Fakih, Ralph Zeitoun, Ibrahim AlZaim, Ali H. Eid, Firas Kobeissy, Khaled S. Abd‐Elrahman, Ahmed F. El‐Yazbi
    Obesity.2022; 30(5): 982.     CrossRef
  • Current Trends of Big Data Research Using the Korean National Health Information Database
    Mee Kyoung Kim, Kyungdo Han, Seung-Hwan Lee
    Diabetes & Metabolism Journal.2022; 46(4): 552.     CrossRef
  • Association of Metabolic Syndrome With Incident Dementia: Role of Number and Age at Measurement of Components in a 28-Year Follow-up of the Whitehall II Cohort Study
    Marcos D. Machado-Fragua, Aurore Fayosse, Manasa Shanta Yerramalla, Thomas T. van Sloten, Adam G. Tabak, Mika Kivimaki, Séverine Sabia, Archana Singh-Manoux
    Diabetes Care.2022; 45(9): 2127.     CrossRef
  • Risk of Neurodegenerative Diseases in Patients With Acromegaly
    Sangmo Hong, Kyungdo Han, Kyung-Soo Kim, Cheol-Young Park
    Neurology.2022;[Epub]     CrossRef
Close layer
Clinical Study
Association between Secondhand Smoke Exposure and Metabolic Syndrome in 118,609 Korean Never Smokers Verified by Self-Reported Questionnaire and Urine Cotinine
Ji Hye Kim, Byung Jin Kim, Young Youl Hyun, Jin Ho Kang
Endocrinol Metab. 2020;35(4):892-900.   Published online December 23, 2020
DOI: https://doi.org/10.3803/EnM.2020.847
  • 4,252 View
  • 100 Download
  • 4 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
No study has reported the association between secondhand smoke (SHS) exposure and metabolic syndrome (MetS) in self-reported never smokers verified by both self-reported questionnaire and urine cotinine.
Methods
A total of 118,609 self-reported and cotinine-verified never smokers (38,385 male; age 34.8±7.1 years) who participated in the Kangbuk Samsung Health Study between 2011 and 2016 were included. Cotinine-verified never smokers were defined as individuals with urinary cotinine <50 ng/mL. SHS exposure was defined as current exposure to passive smoking indoors at home or workplace.
Results
Prevalence of SHS exposure in the overall population was 22.6% (27.4% for males and 20.3% for females (P<0.001). The overall prevalence of MetS was 6.8% and was higher in males than in females (10.7% vs. 4.9%, P<0.001). In both genders, MetS prevalence was higher in the SHS exposure group than the non-SHS exposure group (11.3% vs. 10.4%, P=0.010 for males; 5.8% vs. 4.6%, P<0.001 for females). However, there was significant gender interaction for the association between SHS exposure and MetS (P for interaction=0.010). In the multivariate regression analyses, SHS exposure was associated with increased MetS odds only in females (odds ratio [95% confidence interval], 1.02 [0.94 to 1.11] in male vs. 1.17 [1.06 to 1.29] in female). In particular, females with SHS exposure of ≥1 hour/day and ≥3 times showed increased odds of MetS compared with those without SHS exposure (1.22 [1.02 to 1.45], 1.30 [1.14 to 1.49]).
Conclusion
This cross-sectional study showed that SHS exposure was significantly associated with prevalence of MetS in self-reported and cotinine-verified female never smokers.

Citations

Citations to this article as recorded by  
  • Combined Influence of Eight Lifestyle Factors on Metabolic Syndrome Incidence: A Prospective Cohort Study from the MECH-HK Study
    Yun-Yang Deng, Fei-Wan Ngai, Jing Qin, Lin Yang, Ka-Po Wong, Harry-Haoxiang Wang, Yao-Jie Xie
    Nutrients.2024; 16(4): 547.     CrossRef
  • Association of Zinc Intake, Tobacco Smoke Exposure, With Metabolic Syndrome: Evidence from NHANES 2007–2018
    Shengxiang Yang, Qian Chen, Lin Wang
    Biological Trace Element Research.2024;[Epub]     CrossRef
  • The association between urinary cotinine level and metabolic syndrome profiles among adolescents: findings from the Ewha Birth and growth study
    Hyunjin Park, Ui-Jeong Kim, Eun Jeong Choi, Seunghee Jun, Bomi Park, Hye Ah Lee, Hae Soon Kim, Hyesook Park
    BMC Public Health.2023;[Epub]     CrossRef
  • Association of environmental tobacco smoke exposure with metabolic syndrome: A longitudinal Cohort Study of 71,055 never smokers
    Hyo-In Choi, Seung Jae Lee, Jeong Gyu Kang, Sung Ho Lee, Bum Soo Kim, Byung Jin Kim
    Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(11): 2534.     CrossRef
Close layer
Brief Report
Diabetes
Comparison of Serum PCSK9 Levels in Subjects with Normoglycemia, Impaired Fasting Glucose, and Impaired Glucose Tolerance
Eugene Han, Nan Hee Cho, Seong-Su Moon, Hochan Cho
Endocrinol Metab. 2020;35(2):480-483.   Published online June 24, 2020
DOI: https://doi.org/10.3803/EnM.2020.35.2.480
  • 4,943 View
  • 115 Download
  • 4 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   ePub   
We investigated proprotein convertase subtilisin/kexin type 9 (PCSK9) concentrations in individuals with normoglycemia, impaired fasting glucose (IFG), and impaired glucose tolerance (IGT). This was a pilot, cross-sectional study including 92 individuals who had not been diagnosed with or treated for diabetes. We measured PCSK9 levels in three groups of subjects; namely, normoglycemia (n=57), IFG (n=21), and IGT (n=14). Individuals with IFG and IGT showed higher PCSK9 concentrations than those in the normoglycemic group, with the highest serum PCSK9 concentrations found in individuals with IGT (55.25±15.29 ng/mL for normoglycemia, 63.47±17.78 ng/mL for IFG, 72.22±15.46 ng/mL for IGT, analysis of variance P=0.001). There were no significant differences in high- or low-density lipoprotein cholesterol among groups. Serum PCSK9 levels are increased in patients with prediabetes compared to subjects with normoglycemia.

Citations

Citations to this article as recorded by  
  • Emerging Insights on the Diverse Roles of Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9) in Chronic Liver Diseases: Cholesterol Metabolism and Beyond
    Thomas Grewal, Christa Buechler
    International Journal of Molecular Sciences.2022; 23(3): 1070.     CrossRef
  • Insight into the Evolving Role of PCSK9
    Mateusz Maligłówka, Michał Kosowski, Marcin Hachuła, Marcin Cyrnek, Łukasz Bułdak, Marcin Basiak, Aleksandra Bołdys, Grzegorz Machnik, Rafał Jakub Bułdak, Bogusław Okopień
    Metabolites.2022; 12(3): 256.     CrossRef
  • Proprotein convertase subtilisin/kexin type 9 (PCSK9) levels are not associated with severity of liver disease and are inversely related to cholesterol in a cohort of thirty eight patients with liver cirrhosis
    Susanne Feder, Reiner Wiest, Thomas S. Weiss, Charalampos Aslanidis, Doris Schacherer, Sabrina Krautbauer, Gerhard Liebisch, Christa Buechler
    Lipids in Health and Disease.2021;[Epub]     CrossRef
Close layer
Namgok Lecture 2019
Obesity and Metabolism
Impact of Skeletal Muscle Mass on Metabolic Health
Gyuri Kim, Jae Hyeon Kim
Endocrinol Metab. 2020;35(1):1-6.   Published online March 19, 2020
DOI: https://doi.org/10.3803/EnM.2020.35.1.1
  • 10,663 View
  • 293 Download
  • 64 Web of Science
  • 68 Crossref
AbstractAbstract PDFPubReader   ePub   

Skeletal muscle is regarded as an endocrine and paracrine organ. Muscle-derived secretory proteins, referred to as myokines, mediate interactions between skeletal muscle mass and other organs such as the liver, adipose tissue, pancreas, bone, and the cardiovascular system. As individuals age, reduced levels of physical activity and sarcopenia (loss of skeletal muscle mass and strength) are associated with physical frailty and disability. Recently, several studies have suggested that the loss of skeletal muscle mass may contribute to metabolic disease. Therefore, herein, we focus on the relationships between skeletal muscle mass and metabolic diseases, including metabolic syndrome and non-alcoholic fatty liver disease.

Citations

Citations to this article as recorded by  
  • Sex differences in the association between dual‐energy x‐ray absorptiometry‐measured body composition and periodontitis
    Peijun Zhu, An Li, Qingqing Cai, Yuntao Chen, Yang Liu, Harriët Jager‐Wittenaar, Geerten‐Has E. Tjakkes, Shulan Xu
    Journal of Periodontology.2024; 95(3): 219.     CrossRef
  • Advances in the treatment of functional male hypogonadism
    Giovanni Corona, Giulia Rastrelli, Clotilde Sparano, Linda Vignozzi, Alessandra Sforza, Mario Maggi
    Expert Review of Endocrinology & Metabolism.2024; 19(2): 163.     CrossRef
  • Heterogeneously elevated branched-chain/aromatic amino acids among new-onset type-2 diabetes mellitus patients are potentially skewed diabetes predictors
    Min Wang, Yang Ou, Xiang-Lian Yuan, Xiu-Fang Zhu, Ben Niu, Zhuang Kang, Bing Zhang, Anwar Ahmed, Guo-Qiang Xing, Heng Su
    World Journal of Diabetes.2024; 15(1): 53.     CrossRef
  • The Vicious Cycle of Type 2 Diabetes Mellitus and Skeletal Muscle Atrophy: Clinical, Biochemical, and Nutritional Bases
    Jose M. Lopez-Pedrosa, Maria Camprubi-Robles, German Guzman-Rolo, Andres Lopez-Gonzalez, Jose Manuel Garcia-Almeida, Alejandro Sanz-Paris, Ricardo Rueda
    Nutrients.2024; 16(1): 172.     CrossRef
  • FGF21 Induces Skeletal Muscle Atrophy and Increases Amino Acids in Female Mice: A Potential Role for Glucocorticoids
    Karlton R Larson, Devi Jayakrishnan, Karla A Soto Sauza, Michael L Goodson, Aki T Chaffin, Arik Davidyan, Suraj Pathak, Yanbin Fang, Diego Gonzalez Magaña, Benjamin F Miller, Karen K Ryan
    Endocrinology.2024;[Epub]     CrossRef
  • Mortality risk relationship using standard categorized BMI or knee-height based BMI – does the overweight/lower mortality paradox hold true?
    Nivetha Natarajan Gavriilidou, Mats Pihlsgård, Sölve Elmståhl, Henrik Ekström
    Aging Clinical and Experimental Research.2024;[Epub]     CrossRef
  • Gromwell (Lithospermum erythrorhizon) Attenuates High-Fat-Induced Skeletal Muscle Wasting by Increasing Protein Synthesis and Mitochondrial Biogenesis
    Ji-Sun Kim, Hyunjung Lee, Ahyoung Yoo, Hang Yeon Jeong, Chang Hwa Jung, Jiyun Ahn, Tae-Youl Ha
    Journal of Microbiology and Biotechnology.2024; 34(3): 495.     CrossRef
  • L-shaped association between lean body mass to visceral fat mass ratio with hyperuricemia: a cross-sectional study
    Longti Li, Ya Shao, Huiqin Zhong, Yu Wang, Rong Zhang, Boxiong Gong, Xiaoxv Yin
    Lipids in Health and Disease.2024;[Epub]     CrossRef
  • Prevalence of adiposity-based chronic disease and its association with anthropometric and clinical indices: a cross-sectional study
    Luis E González-Salazar, Aurora E Serralde-Zúñiga, Adriana Flores-López, Juan P Díaz-Sánchez, Isabel Medina-Vera, Edgar Pichardo-Ontiveros, Rocío Guizar-Heredia, Karla G Hernández-Gómez, Ana Vigil-Martínez, Liliana Arteaga-Sánchez, Azalia Avila-Nava, Nata
    British Journal of Nutrition.2023; 130(1): 93.     CrossRef
  • Skeletal Muscle Myokine Expression in Critical Illness, Association With Outcome and Impact of Therapeutic Interventions
    Ilse Vanhorebeek, Jan Gunst, Michaël P Casaer, Inge Derese, Sarah Derde, Lies Pauwels, Johan Segers, Greet Hermans, Rik Gosselink, Greet Van den Berghe
    Journal of the Endocrine Society.2023;[Epub]     CrossRef
  • Effect of Circadian Rhythm Disturbance on the Human Musculoskeletal System and the Importance of Nutritional Strategies
    Norsham Juliana, Liyana Azmi, Nadia Mohd Effendy, Nur Islami Mohd Fahmi Teng, Izuddin Fahmy Abu, Nur Nabilah Abu Bakar, Sahar Azmani, Noor Anisah Abu Yazit, Suhaini Kadiman, Srijit Das
    Nutrients.2023; 15(3): 734.     CrossRef
  • Molecular mechanisms of post‐burn muscle wasting and the therapeutic potential of physical exercise
    Dorien Dombrecht, Ulrike Van Daele, Birgit Van Asbroeck, David Schieffelers, Pieter‐Jan Guns, Nick Gebruers, Jill Meirte, Eric van Breda
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(2): 758.     CrossRef
  • Metabolic Impact of Frailty Changes Diabetes Trajectory
    Alan J. Sinclair, Ahmed H. Abdelhafiz
    Metabolites.2023; 13(2): 295.     CrossRef
  • From Single- to Multi-organ-on-a-Chip System for Studying Metabolic Diseases
    Minjeong Jang, Hong Nam Kim
    BioChip Journal.2023; 17(2): 133.     CrossRef
  • INFLUENCE OF SARCOPENIA ON THE COURSE AND PROGNOSIS IN PATIENTS WITH CHRONIC HEART FAILURE
    Gulyaev N.I., Adamov A.A., Akhmetshin I.M.
    "Medical & pharmaceutical journal "Pulse".2023; : 124.     CrossRef
  • Frailty and the Interactions between Skeletal Muscle, Bone, and Adipose Tissue-Impact on Cardiovascular Disease and Possible Therapeutic Measures
    María Elena Soto, Israel Pérez-Torres, María Esther Rubio-Ruiz, Agustina Cano-Martínez, Linaloe Manzano-Pech, Verónica Guarner-Lans
    International Journal of Molecular Sciences.2023; 24(5): 4534.     CrossRef
  • Sarcoplasmic Reticulum Ca2+ Buffer Proteins: A Focus on the Yet-To-Be-Explored Role of Sarcalumenin in Skeletal Muscle Health and Disease
    Elena Conte, Giorgia Dinoi, Paola Imbrici, Annamaria De Luca, Antonella Liantonio
    Cells.2023; 12(5): 715.     CrossRef
  • Antarctic krill extracts enhance muscle regeneration and muscle function via mammalian target of rapamycin regulation
    Seongmin Lee, Mi-Ock Baek, Sana Abdul Khaliq, Amna Parveen, Sun Yeou Kim, Jin-Hyoung Kim, Il-Chan Kim, Mee-Sup Yoon
    Journal of Functional Foods.2023; 103: 105483.     CrossRef
  • Pharmacological and physiological roles of adipokines and myokines in metabolic-related dementia
    Archana Arjunan, Juhyun Song
    Biomedicine & Pharmacotherapy.2023; 163: 114847.     CrossRef
  • PRMT5 links lipid metabolism to contractile function of skeletal muscles
    Kun Ho Kim, Zhihao Jia, Madigan Snyder, Jingjuan Chen, Jiamin Qiu, Stephanie N Oprescu, Xiyue Chen, Sabriya A Syed, Feng Yue, Bruno T Roseguini, Anthony N Imbalzano, Changdeng Hu, Shihuan Kuang
    EMBO reports.2023;[Epub]     CrossRef
  • “Biqi” Bayberry Extract Promotes Skeletal Muscle Fiber Type Remodeling by Increasing Fast Myofiber Formation via the Akt/FoxO1 Pathway in Mice
    Jinjie Li, Yi Li, Xiangying Suo, Jiangtao Li, Da Huang, Guangning Kou
    Foods.2023; 12(13): 2471.     CrossRef
  • Effects of high-intensity interval training (HIIT) on skeletal muscle atrophy, function, and myokine profile in diabetic myopathy
    Yeşim Özçatal, Fırat Akat, Yakup Tatar, Hakan Fıçıcılar, Bilge Serdaroğlu, Ferda Topal Çelikkan, Metin Baştuğ
    Cytokine.2023; 169: 156279.     CrossRef
  • Impaired proteostatic mechanisms other than decreased protein synthesis limit old skeletal muscle recovery after disuse atrophy
    Jordan D. Fuqua, Marcus M. Lawrence, Zachary R. Hettinger, Agnieszka K. Borowik, Parker L. Brecheen, Marcelina M. Szczygiel, Claire B. Abbott, Frederick F. Peelor, Amy L. Confides, Michael Kinter, Sue C. Bodine, Esther E. Dupont‐Versteegden, Benjamin F. M
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(5): 2076.     CrossRef
  • Body physique rating as a factor to identify at-risk Mexicans for Metabolic Syndrome
    Oscar Herrera-Fomperosa, Sergio K. Bustamante-Villagomez, Sarahí Vazquez-Álvarez, Gabriela Vázquez-Marroquín, Leonardo M. Porchia, Enrique Torres-Rasgado, Ricardo Pérez-Fuentes, M. Elba Gonzalez-Mejia
    Human Nutrition & Metabolism.2023; 33: 200206.     CrossRef
  • Association between Fractional Oxygen Extraction from Resting Quadriceps Muscle and Body Composition in Healthy Men
    Rodrigo Yáñez-Sepúlveda, Jorge Olivares-Arancibia, Guillermo Cortés-Roco, Aldo Vasquez-Bonilla, Matías Monsalves-Álvarez, Ildefonso Alvear-Órdenes, Marcelo Tuesta
    Journal of Functional Morphology and Kinesiology.2023; 8(4): 149.     CrossRef
  • Correlations between Mental Health, Physical Activity, and Body Composition in American College Students after the COVID-19 Pandemic Lockdown
    Luis Torres, Manuela C. Caciula, Alin S. Tomoiaga, Carmen Gugu-Gramatopol
    International Journal of Environmental Research and Public Health.2023; 20(22): 7045.     CrossRef
  • Association between total body muscle percentage and prevalence of non-alcoholic fatty liver disease in Korean adults findings from an 18-year follow-up: a prospective cohort study
    Byoung Chan Ahn, Chul Yong Park, Jung Hee Hong, Ki Ook Baek
    Journal of Yeungnam Medical Science.2023; 40(Suppl): S47.     CrossRef
  • The independent and joint associations among muscle strength, abdominal obesity and cardiometabolic variables among adults
    Tiago Rodrigues de Lima, David Alejandro González‐Chica, Xuemei Sui, Diego Augusto Santos Silva
    European Journal of Sport Science.2022; 22(7): 1122.     CrossRef
  • Mentale Gesundheit und physische Aktivität
    Wolfgang Laube
    Manuelle Medizin.2022; 60(1): 13.     CrossRef
  • A new paradigm in sarcopenia: Cognitive impairment caused by imbalanced myokine secretion and vascular dysfunction
    Danbi Jo, Gwangho Yoon, Oh Yoen Kim, Juhyun Song
    Biomedicine & Pharmacotherapy.2022; 147: 112636.     CrossRef
  • Sarcopenia Is a Cause and Consequence of Metabolic Dysregulation in Aging Humans: Effects of Gut Dysbiosis, Glucose Dysregulation, Diet and Lifestyle
    James W. Daily, Sunmin Park
    Cells.2022; 11(3): 338.     CrossRef
  • Leveraging deep phenotyping from health check-up cohort with 10,000 Korean individuals for phenome-wide association study of 136 traits
    Eun Kyung Choe, Manu Shivakumar, Anurag Verma, Shefali Setia Verma, Seung Ho Choi, Joo Sung Kim, Dokyoon Kim
    Scientific Reports.2022;[Epub]     CrossRef
  • Zika virus disrupts gene expression in human myoblasts and myotubes: Relationship with susceptibility to infection
    Ingo Riederer, Daniella Arêas Mendes-da-Cruz, Guilherme Cordenonsi da Fonseca, Mariela Natacha González, Otavio Brustolini, Cássia Rocha, Guilherme Loss, Joseane Biso de Carvalho, Mariane Talon Menezes, Lidiane Menezes Souza Raphael, Alexandra Gerber, Myr
    PLOS Neglected Tropical Diseases.2022; 16(2): e0010166.     CrossRef
  • Teil 1: Muskeldysfunktionen – mit Training gegen Schmerz
    Wolfgang Laube
    Manuelle Medizin.2022; 60(2): 84.     CrossRef
  • Transcription factors KLF15 and PPARδ cooperatively orchestrate genome-wide regulation of lipid metabolism in skeletal muscle
    Liyan Fan, David R. Sweet, Erica K. Fan, Domenick A. Prosdocimo, Annmarie Madera, Zhen Jiang, Roshan Padmanabhan, Saptarsi M. Haldar, Vinesh Vinayachandran, Mukesh K. Jain
    Journal of Biological Chemistry.2022; 298(6): 101926.     CrossRef
  • An Overview of the TRP-Oxidative Stress Axis in Metabolic Syndrome: Insights for Novel Therapeutic Approaches
    Mizael C. Araújo, Suzany H. S. Soczek, Jaqueline P. Pontes, Leonardo A. C. Marques, Gabriela S. Santos, Gisele Simão, Laryssa R. Bueno, Daniele Maria-Ferreira, Marcelo N. Muscará, Elizabeth S. Fernandes
    Cells.2022; 11(8): 1292.     CrossRef
  • Effects of a 10-Week Physical Activity Intervention on Asylum Seekers’ Physiological Health
    Matheus Guerra, Danilo Garcia, Maryam Kazemitabar, Erik Lindskär, Erica Schütz, Daniel Berglind
    Brain Sciences.2022; 12(7): 822.     CrossRef
  • Low muscle mass and mortality risk later in life: A 10-year follow-up study
    Cristina Camargo Pereira, Valéria Pagotto, Cesar de Oliveira, Erika Aparecida Silveira, Kiyoshi Sanada
    PLOS ONE.2022; 17(7): e0271579.     CrossRef
  • Independent and joint associations of weightlifting and aerobic activity with all-cause, cardiovascular disease and cancer mortality in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial
    Jessica Gorzelitz, Britton Trabert, Hormuzd A Katki, Steven C Moore, Eleanor L Watts, Charles E Matthews
    British Journal of Sports Medicine.2022; 56(22): 1277.     CrossRef
  • Handgrip Strength Cutoff Value Among Korean Adolescents with Metabolic Syndrome Components: Korean National Health and Nutrition Examination Survey Data 2014–2017
    Chang Hoon Lee, Jun Hyeok Lee, Yong Whi Jeong, Hong Koh, Yunkoo Kang
    Metabolic Syndrome and Related Disorders.2022; 20(10): 584.     CrossRef
  • Physical activity level, sitting time, and skeletal muscle mass between esports players and non-esports players
    Zhi H. SEE, Mohamad S. ABDUL HAMID
    Gazzetta Medica Italiana Archivio per le Scienze Mediche.2022;[Epub]     CrossRef
  • Impact of the Nutrition–Inflammation Status on the Functionality of Patients with Chronic Kidney Disease
    Ángel Nogueira, Graciela Álvarez, Guillermina Barril
    Nutrients.2022; 14(22): 4745.     CrossRef
  • Does Timing Matter? A Narrative Review of Intermittent Fasting Variants and Their Effects on Bodyweight and Body Composition
    Alan A. Aragon, Brad J. Schoenfeld
    Nutrients.2022; 14(23): 5022.     CrossRef
  • Sex- and region-specific associations of skeletal muscle mass with metabolic dysfunction-associated fatty liver disease
    Pei Xiao, Pu Liang, Panjun Gao, Jinyi Wu
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Donor Skeletal Muscle Quality Affects Graft Mortality After Living Donor Liver Transplantation- A Single Center, Retrospective Study
    Takahiro Tomiyama, Noboru Harada, Takeo Toshima, Yuki Nakayama, Katsuya Toshida, Akinari Morinaga, Yukiko Kosai-Fujimoto, Takahiro Tomino, Takeshi Kurihara, Kazuki Takeishi, Yoshihiro Nagao, Kazutoyo Morita, Shinji Itoh, Tomoharu Yoshizumi
    Transplant International.2022;[Epub]     CrossRef
  • Handgrip Strength Is Associated with Metabolic Syndrome and Insulin Resistance in Children and Adolescents: Analysis of Korea National Health and Nutrition Examination Survey 2014–2018
    Hae Woon Jung, Jieun Lee, Jaehyun Kim
    Journal of Obesity & Metabolic Syndrome.2022; 31(4): 334.     CrossRef
  • Diet quality and a traditional dietary pattern predict lean mass in Australian women: Longitudinal data from the Geelong Osteoporosis Study
    Jessica A. Davis, Mohammadreza Mohebbi, Fiona Collier, Amy Loughman, Nitin Shivappa, James R. Hébert, Julie A. Pasco, Felice N. Jacka
    Preventive Medicine Reports.2021; 21: 101316.     CrossRef
  • Association between serum FGF21 level and sarcopenia in older adults
    Hee-Won Jung, Jin Hoon Park, Da Ae Kim, Il-Young Jang, So Jeong Park, Jin Young Lee, Seungjoo Lee, Jeoung Hee Kim, Hyon-Seung Yi, Eunju Lee, Beom-Jun Kim
    Bone.2021; 145: 115877.     CrossRef
  • Benchside to the bedside of frailty and cardiovascular aging: Main shared cellular and molecular mechanisms
    Sandra Maria Barbalho, Ricardo José Tofano, Eduardo Federigui Baisi Chagas, Cláudia Rucco Penteado Detregiachi, Ricardo de Alvares Goulart, Uri Arian Princ Flato
    Experimental Gerontology.2021; 148: 111302.     CrossRef
  • Effect of CCL11 on In Vitro Myogenesis and Its Clinical Relevance for Sarcopenia in Older Adults
    Da Ae Kim, So Jeong Park, Jin Young Lee, Jeoung Hee Kim, Seungjoo Lee, Eunju Lee, Il-Young Jang, Hee-Won Jung, Jin Hoon Park, Beom-Jun Kim
    Endocrinology and Metabolism.2021; 36(2): 455.     CrossRef
  • Sarcopenic obesity as a determinant of cardiovascular disease risk in older people: a systematic review
    Katherine Evans, Dima Abdelhafiz, Ahmed H Abdelhafiz
    Postgraduate Medicine.2021; 133(8): 831.     CrossRef
  • Decreased continuous sitting time increases heart rate variability in patients with cardiovascular risk factors
    Natsuki Nakayama, Masahiko Miyachi, Koji Tamakoshi, Toshio Hayashi, Koji Negi, Koji Watanabe, Makoto Hirai, Sharon Mary Brownie
    PLOS ONE.2021; 16(6): e0253399.     CrossRef
  • Muskeltraining – ein universelles Medikament
    Wolfgang Laube
    Manuelle Medizin.2021; 59(3): 179.     CrossRef
  • The Effects of Oxytocin on Appetite Regulation, Food Intake and Metabolism in Humans
    Liya Kerem, Elizabeth A. Lawson
    International Journal of Molecular Sciences.2021; 22(14): 7737.     CrossRef
  • Weight Loss Strategies and the Risk of Skeletal Muscle Mass Loss
    David McCarthy, Aloys Berg
    Nutrients.2021; 13(7): 2473.     CrossRef
  • Association of FGF‐19 and FGF‐21 levels with primary sarcopenia
    Rabia Bag Soytas, Veysel Suzan, Pinar Arman, Tugce Emiroglu Gedik, Damla Unal, Mahir Cengiz, Ibrahim Murat Bolayirli, Deniz Suna Erdincler, Alper Doventas, Hakan Yavuzer
    Geriatrics & Gerontology International.2021; 21(10): 959.     CrossRef
  • Der Muskulatur mehr Aufmerksamkeit schenken!
    Wolfgang Laube
    Manuelle Medizin.2021; 59(4): 302.     CrossRef
  • Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review
    Antti Tolonen, Tomppa Pakarinen, Antti Sassi, Jere Kyttä, William Cancino, Irina Rinta-Kiikka, Said Pertuz, Otso Arponen
    European Journal of Radiology.2021; 145: 109943.     CrossRef
  • Waist and hip circumference are independently associated with the risk of liver disease in population‐based studies
    Oscar Danielsson, Markku J. Nissinen, Antti Jula, Veikko Salomaa, Satu Männistö, Annamari Lundqvist, Markus Perola, Fredrik Åberg
    Liver International.2021; 41(12): 2903.     CrossRef
  • Understanding of sarcopenia: from definition to therapeutic strategies
    Jee Won Kim, Ryuni Kim, Hyerim Choi, Sang-Jin Lee, Gyu-Un Bae
    Archives of Pharmacal Research.2021; 44(9-10): 876.     CrossRef
  • Muscle strength and its association with cardiometabolic variables in adolescents: does the expression of muscle strength values matter?
    Tiago Rodrigues de Lima, Xuemei Sui, Luiz Rodrigo Augustemak de Lima, Diego Augusto Santos Silva
    World Journal of Pediatrics.2021; 17(6): 597.     CrossRef
  • 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
    Endocrinology and Metabolism.2021; 36(5): 1055.     CrossRef
  • Physical Exercise and Myokines: Relationships with Sarcopenia and Cardiovascular Complications
    Sandra Maria Barbalho, Uri Adrian Prync Flato, Ricardo José Tofano, Ricardo de Alvares Goulart, Elen Landgraf Guiguer, Cláudia Rucco P. Detregiachi, Daniela Vieira Buchaim, Adriano Cressoni Araújo, Rogério Leone Buchaim, Fábio Tadeu Rodrigues Reina, Piero
    International Journal of Molecular Sciences.2020; 21(10): 3607.     CrossRef
  • Prevalence of Metabolic Syndrome and Association with Grip Strength in Older Adults: Findings from the HOPE Study


    Reshma Aziz Merchant, Yiong Huak Chan, Jia Yi Lim, John E Morley
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 2677.     CrossRef
  • Lower Serum n-3 Fatty Acid Level in Older Adults with Sarcopenia
    Il-Young Jang, Hee-Won Jung, Jin Hoon Park, Jeoung Hee Kim, Seungjoo Lee, Eunju Lee, Jin Young Lee, So Jeong Park, Da Ae Kim, Su Jung Kim, Hyun Ju Yoo, Beom-Jun Kim
    Nutrients.2020; 12(10): 2959.     CrossRef
  • Advances in understanding of health‐promoting benefits of medicine and food homology using analysis of gut microbiota and metabolomics
    Minmin Yang, Tao Yan, Meng Yu, Jie Kang, Ruoxi Gao, Peng Wang, Yuhuan Zhang, Huafeng Zhang, Lin Shi
    Food Frontiers.2020; 1(4): 398.     CrossRef
  • The association of circulating kynurenine, a tryptophan metabolite, with frailty in older adults
    Il-Young Jang, Jin Hoon Park, Jeoung Hee Kim, Seungjoo Lee, Eunju Lee, Jin Young Lee, So Jeong Park, Da Ae Kim, Mark W. Hamrick, Beom-Jun Kim
    Aging.2020; 12(21): 22253.     CrossRef
  • Sarcopenia and Muscle Aging: A Brief Overview
    Tam Dao, Alexander E. Green, Yun A Kim, Sung-Jin Bae, Ki-Tae Ha, Karim Gariani, Mi-ra Lee, Keir J. Menzies, Dongryeol Ryu
    Endocrinology and Metabolism.2020; 35(4): 716.     CrossRef
Close layer
Original Articles
Clinical Study
Impact of the Dynamic Change of Metabolic Health Status on the Incident Type 2 Diabetes: A Nationwide Population-Based Cohort Study
Jung A Kim, Da Hye Kim, Seon Mee Kim, Yong Gyu Park, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi, Kyungdo Han, Hye Jin Yoo
Endocrinol Metab. 2019;34(4):406-414.   Published online December 23, 2019
DOI: https://doi.org/10.3803/EnM.2019.34.4.406
  • 5,975 View
  • 83 Download
  • 16 Web of Science
  • 19 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

Metabolically healthy obese (MHO) is regarded as a transient concept. We examined the effect of the dynamic change of metabolic health status on the incidence of type 2 diabetes mellitus (T2DM) both in obese and normal weight individuals.

Methods

We analyzed 3,479,514 metabolically healthy subjects aged over 20 years from the Korean National Health Screening Program, who underwent health examination between 2009 and 2010, with a follow-up after 4 years. The relative risk for T2DM incidence until the December 2017 was compared among the four groups: stable metabolically healthy normal weight (MHNW), unstable MHNW, stable MHO, and unstable MHO.

Results

During the 4 years, 11.1% of subjects in the MHNW group, and 31.5% in the MHO group converted to a metabolically unhealthy phenotype. In the multivariate adjusted model, the unstable MHO group showed the highest risk of T2DM (hazard ratio [HR], 4.67; 95% confidence interval [CI], 4.58 to 4.77). The unstable MHNW group had a higher risk of T2DM than stable MHO group ([HR, 3.23; 95% CI, 3.16 to 3.30] vs. [HR, 1.81; 95% CI, 1.76 to 1.85]). The stable MHO group showed a higher risk of T2DM than the stable MHNW group. The influence of the transition into a metabolically unhealthy phenotype on T2DM incidence was greater in subjects with aged <65 years, women, and those with weight gain.

Conclusion

Metabolically healthy phenotype was transient both in normal weight and obese individuals. Maintaining metabolic health was critical for the prevention of T2DM, irrespective of their baseline body mass index.

Citations

Citations to this article as recorded by  
  • Metabolically healthy obese individuals are still at high risk for diabetes: Application of the marginal structural model
    Hye Ah Lee, Hyesook Park
    Diabetes, Obesity and Metabolism.2024; 26(2): 431.     CrossRef
  • Association of anthropometric parameters as a risk factor for development of diabetic retinopathy in patients with diabetes mellitus
    Aditya Verma, Ashok Jha, Ahmed Roshdy Alagorie, Rishi Sharma
    Eye.2023; 37(2): 303.     CrossRef
  • From Metabolic Syndrome to Type 2 Diabetes in Youth
    Dario Iafusco, Roberto Franceschi, Alice Maguolo, Salvatore Guercio Nuzio, Antonino Crinò, Maurizio Delvecchio, Lorenzo Iughetti, Claudio Maffeis, Valeria Calcaterra, Melania Manco
    Children.2023; 10(3): 516.     CrossRef
  • Assessment of Metabolic Syndrome Risk Based on Body Size Phenotype in Korean Adults: Analysis of Community-based Cohort Data
    Ji Young Kim, Youngran Yang
    Research in Community and Public Health Nursing.2023; 34: 158.     CrossRef
  • Dynamic Changes in Metabolic Status Are Associated With Risk of Ocular Motor Cranial Nerve Palsies
    Daye Diana Choi, Kyung-Ah Park, Kyungdo Han, Sei Yeul Oh
    Journal of Neuro-Ophthalmology.2023;[Epub]     CrossRef
  • New metabolic health definition might not be a reliable predictor for diabetes in the nonobese Chinese population
    Liying Li, Ziqiong Wang, Haiyan Ruan, Muxin Zhang, Linxia Zhou, Xin Wei, Ye Zhu, Jiafu Wei, Xiaoping Chen, Sen He
    Diabetes Research and Clinical Practice.2022; 184: 109213.     CrossRef
  • Metabolically healthy obesity: Is it really healthy for type 2 diabetes mellitus?
    Qi Wu, Ming-Feng Xia, Xin Gao
    World Journal of Diabetes.2022; 13(2): 70.     CrossRef
  • Metabolically obese phenotype and its dynamic change are associated with increased carotid intima-media thickness: Results from a cohort study
    Liping Yang, Xue Li, Li Wang, Shan Xu, Yanmei Lou, Fulan Hu
    Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(9): 2238.     CrossRef
  • Obesity Metabolic Phenotype, Changes in Time and Risk of Diabetes Mellitus in an Observational Prospective Study on General Population
    Chan Yang, Xiaowei Liu, Yuanyuan Dang, Juan Li, Jingyun Jing, Di Tian, Jiangwei Qiu, Jiaxing Zhang, Ni Yan, Xiuying Liu, Yi Zhao, Yuhong Zhang
    International Journal of Public Health.2022;[Epub]     CrossRef
  • Implications of metabolic health status and obesity on the risk of kidney cancer: A nationwide population-based cohort study
    Yun Kyung Cho, Hwi Seung Kim, Joong-Yeol Park, Woo Je Lee, Ye-Jee Kim, Chang Hee Jung
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Metabolic health is a determining factor for incident colorectal cancer in the obese population: A nationwide population‐based cohort study
    Yun Kyung Cho, Jiwoo Lee, Hwi Seung Kim, Joong‐Yeol Park, Woo Je Lee, Ye‐Jee Kim, Chang Hee Jung
    Cancer Medicine.2021; 10(1): 220.     CrossRef
  • Cumulative Exposure to Metabolic Syndrome Components and the Risk of Dementia: A Nationwide Population-Based Study
    Yunjung Cho, Kyungdo Han, Da Hye Kim, Yong-Moon Park, Kun-Ho Yoon, Mee Kyoung Kim, Seung-Hwan Lee
    Endocrinology and Metabolism.2021; 36(2): 424.     CrossRef
  • Excessive Intake of High-Fructose Corn Syrup Drinks Induces Impaired Glucose Tolerance
    Hidemi Hattori, Yuma Hanai, Yuto Oshima, Hiroaki Kataoka, Nozomu Eto
    Biomedicines.2021; 9(5): 541.     CrossRef
  • The risk of Alzheimer’s disease according to dynamic changes in metabolic health and obesity: a nationwide population-based cohort study
    Yun Kyung Cho, Jiwoo Lee, Hwi Seung Kim, Joong-Yeol Park, Woo Je Lee, Ye-Jee Kim, Chang Hee Jung
    Aging.2021; 13(13): 16974.     CrossRef
  • Metabolically healthy obesity: predictors of transformation to unhealthy phenotype in St Petersburg population (according to the ESSE-RF study)
    M. A. Boyarinova, O. P. Rotar, A. M. Erina, N. A. Paskar, A. S. Alieva, E. V. Moguchaia, E. P. Kolesova, A. O. Konradi
    "Arterial’naya Gipertenziya" ("Arterial Hypertension").2021; 27(3): 279.     CrossRef
  • Physiological and Lifestyle Traits of Metabolic Dysfunction in the Absence of Obesity
    Hanna Bjørk Klitgaard, Jesper Hoffmann Kilbak, Erica Arhnung Nozawa, Ann V. Seidel, Faidon Magkos
    Current Diabetes Reports.2020;[Epub]     CrossRef
  • Exploring Therapeutic Targets to Reverse or Prevent the Transition from Metabolically Healthy to Unhealthy Obesity
    Tenzin D. Dagpo, Christopher J. Nolan, Viviane Delghingaro-Augusto
    Cells.2020; 9(7): 1596.     CrossRef
  • Prepregnancy smoking and the risk of gestational diabetes requiring insulin therapy
    Mee Kyoung Kim, Kyungdo Han, Sang Youn You, Hyuk-Sang Kwon, Kun-Ho Yoon, Seung-Hwan Lee
    Scientific Reports.2020;[Epub]     CrossRef
  • Obesity with and without type 2 diabetes: are there differences in obesity history, lifestyle factors or concomitant pathology?
    E. A. Shestakova, Yu. I. Yashkov, O. Yu. Rebrova, M. V. Kats, M. D. Samsonova, I. I. Dedov
    Obesity and metabolism.2020; 17(4): 332.     CrossRef
Close layer
Clinical Study
Association between Serum Gamma-Glutamyltransferase and Prevalence of Metabolic Syndrome Using Data from the Korean Genome and Epidemiology Study
Mi Young Lee, Dae Sung Hyon, Ji Hye Huh, Hae Kyung Kim, Sul Ki Han, Jang Young Kim, Sang Baek Koh
Endocrinol Metab. 2019;34(4):390-397.   Published online December 23, 2019
DOI: https://doi.org/10.3803/EnM.2019.34.4.390
  • 5,926 View
  • 120 Download
  • 14 Web of Science
  • 14 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

The aim of this study was to determine whether there is a positive correlation between gamma-glutamyltransferase (GGT) levels and the prevalence of metabolic syndrome and whether GGT can be used as an easily checkable metabolic index using data from the large-scale Korean Genome and Epidemiology Study (KoGES).

Methods

We obtained data of 211,725 participants of the KoGES. The collected data included age, sex, height, weight, waist circumference, and various biochemical characteristics, including serum GGT levels. The data of study participants who ingested more than 40 g/day of alcohol and who were diagnosed with metabolic syndrome at baseline was excluded. We analyzed the prevalence of metabolic syndrome according to GGT quartiles in both genders.

Results

The GGT level was significantly higher in subjects with metabolic syndrome compared to normal subjects (37.92±48.20 mg/dL vs. 25.62±33.56 mg/dL). The prevalence of metabolic syndrome showed a stepwise increase with GGT quartiles in both male and female subjects. Compared to the lowest GGT quartile, the odds ratio was 1.534 (95% confidence interval [CI], 1.432 to 1.643), 1.939 (95% CI, 1.811 to 2.076), and 2.754 (95% CI, 2.572 to 2.948) in men and 1.155 (95% CI, 1.094 to 1.218), 1.528 (95% CI, 1.451 to 1.609), and 2.022 (95% CI, 1.921 to 2.218) in women with increasing GGT quartile. The cutoff value of GGT predicting risk of metabolic syndrome was 27 IU/L in men and 17 IU/L in women.

Conclusion

We suggested that GGT could be an easily checkable marker for the prediction of metabolic syndrome.

Citations

Citations to this article as recorded by  
  • Associating Liver Enzymes and Their Interactions with Metabolic Syndrome Prevalence in a Japanese Working Population
    Aziz Jamal, Akira Babazono, Ning Liu, Rieko Yamao, Takako Fujita, Sung-a Kim, Yunfei Li
    Metabolic Syndrome and Related Disorders.2024; 22(1): 27.     CrossRef
  • Liver fat content assessed by conventional B-mode ultrasound and metabolic profile in non-diabetic patients: Implications for clinical practice
    Rosanna Villani, Grazia Pia Magnati, Giulia Tuccari, Moris Sangineto, Antonino Davide Romano, Tommaso Cassano, Gaetano Serviddio
    Ultrasound.2023; 31(3): 177.     CrossRef
  • Serum γ-glutamyltransferase level and incidence risk of metabolic syndrome in community dwelling adults: longitudinal findings over 12 years
    Jiwon Kwak, In-Ho Seo, Yong-Jae Lee
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Gamma-Glutamyl Transferase as a Diagnostic Marker of Metabolic Syndrome
    Bobbili Tarun Kesava Naidu, Kakarlapudi Santosh Raju, Janapareddi V BhaskaraRao, Nallapati Sunil Kumar
    Cureus.2023;[Epub]     CrossRef
  • Metabolic syndrome and transaminases: systematic review and meta-analysis
    Elena Raya-Cano, Rafael Molina-Luque, Manuel Vaquero-Abellán, Guillermo Molina-Recio, Rocío Jiménez-Mérida, Manuel Romero-Saldaña
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Association between Serum Gamma-glutamyl Transferase and Metabolic Syndrome: A Case–control Study
    Akshay Shelar, Nalini Humaney, Akshay Chhajed, Krunal Domki, Ajay Narwade
    Journal of Datta Meghe Institute of Medical Sciences University.2023; 18(4): 651.     CrossRef
  • “Big Data” Approaches for Prevention of the Metabolic Syndrome
    Xinping Jiang, Zhang Yang, Shuai Wang, Shuanglin Deng
    Frontiers in Genetics.2022;[Epub]     CrossRef
  • Can Gamma-glutamyl Transferase Predict Unhealthy Metabolic Phenotypes Among Healthcare Workers in Azar Cohort Study?
    Mohammadhossein Somi, Seyed Sina Zakavi, Alireza Ostadrahimi, Negin Frounchi, Neda Gilani, Sarvin Sanaie, Elnaz Faramarzi
    Hepatitis Monthly.2022;[Epub]     CrossRef
  • Association between liver enzymes and metabolic syndrome in Canadian adults: results from the Canadian health measures survey - cycles 3 &4
    Luan Manh Chu, Chandima Karunanayake, Palok Aich, Markus Hecker, Punam Pahwa
    Journal of Diabetes & Metabolic Disorders.2022; 21(2): 1699.     CrossRef
  • Repeatedly elevated γ-glutamyltransferase levels are associated with an increased incidence of digestive cancers: A population-based cohort study
    Chang-Hoon Lee, Kyungdo Han, Da Hye Kim, Min-Sun Kwak
    World Journal of Gastroenterology.2021; 27(2): 176.     CrossRef
  • Index of Cardiac Age Index and Cardiometabolic Biomarkers in Adults with Metabolic Syndrome
    Eun Jung Choi, Sang Yeoup Lee
    Metabolic Syndrome and Related Disorders.2021; 19(5): 288.     CrossRef
  • Simple metabolic markers associated with tophaceous gout
    Wei Liu, Hui Song, Siliang Man, Hongchao Li, Siming Gao
    Clinical Rheumatology.2021; 40(12): 5047.     CrossRef
  • Expression Status and Prognostic Significance of Gamma-Glutamyl Transpeptidase Family Genes in Hepatocellular Carcinoma
    Shan Tian, Jiao Li, Yingyun Guo, Weiguo Dong, Xin Zheng
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Nonalcoholic fatty liver disease and the risk of insulin-requiring gestational diabetes
    Sang Youn You, Kyungdo Han, Seung-Hawn Lee, Mee Kyoung Kim
    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
Close layer

Endocrinol Metab : Endocrinology and Metabolism