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Diabetes Metab J : Diabetes & Metabolism Journal



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2 "Jang-Young Kim"
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Cardiovascular Risk/Epidemiology
Metabolic Syndrome Severity Score for Predicting Cardiovascular Events: A Nationwide Population-Based Study from Korea
Yo Nam Jang, Jun Hyeok Lee, Jin Sil Moon, Dae Ryong Kang, Seong Yong Park, Jerim Cho, Jang-Young Kim, Ji Hye Huh
Diabetes Metab J. 2021;45(4):569-577.   Published online January 30, 2021
  • 6,405 View
  • 222 Download
  • 13 Web of Science
  • 14 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Recently, a metabolic syndrome severity score (MS score) using a dataset of the Korea National Health and Nutrition Examination Surveys has been developed. We aimed to determine whether the newly developed score is a significant predictor of cardiovascular (CV) events among the Korean population.
From the Korean National Health Insurance System, 2,541,364 (aged 40 to 59 years) subjects with no history of CV events (ischemic stroke or myocardial infarction [MI]), who underwent health examinations from 2009 to 2011 and were followed up until 2014 to 2017, were identified. Cox proportional hazard model was employed to investigate the association between MS score and CV events. Model performance of MS score for predicting CV events was compared to that of conventional metabolic syndrome diagnostic criteria (Adult Treatment Program III [ATP-III]) using the Akaike information criterion and the area under the receiver operating characteristic curve.
Over a median follow-up of 6 years, 15,762 cases of CV events were reported. MS score at baseline showed a linear association with incident CV events. In the multivariable-adjusted model, the hazard ratios (95% confidence intervals) comparing the highest versus lowest quartiles of MS score were 1.48 (1.36 to 1.60) for MI and 1.89 (1.74 to 2.05) for stroke. Model fitness and performance of the MS score in predicting CV events were superior to those of ATP-III.
The newly developed age- and sex-specific continuous MS score for the Korean population is an independent predictor of ischemic stroke and MI in Korean middle-aged adults even after adjusting for confounding factors.


Citations to this article as recorded by  
  • Metabolic syndrome awareness in the general Korean population: results from a nationwide survey
    Hyun-Jin Kim, Mi-Seung Shin, Kyung-Hee Kim, Mi-Hyang Jung, Dong-Hyuk Cho, Ju-Hee Lee, Kwang Kon Koh
    The Korean Journal of Internal Medicine.2024; 39(2): 272.     CrossRef
  • BMI-based metabolic syndrome severity score and arterial stiffness in a cohort Chinese study
    Miao Wang, Chi Wang, Maoxiang Zhao, Shouling Wu, Hao Xue, Hongbin Liu
    Nutrition, Metabolism and Cardiovascular Diseases.2024;[Epub]     CrossRef
  • Omics biomarkers and an approach for their practical implementation to delineate health status for personalized nutrition strategies
    Jaap Keijer, Xavier Escoté, Sebastià Galmés, Andreu Palou-March, Francisca Serra, Mona Adnan Aldubayan, Kristina Pigsborg, Faidon Magkos, Ella J. Baker, Philip C. Calder, Joanna Góralska, Urszula Razny, Malgorzata Malczewska-Malec, David Suñol, Mar Galofr
    Critical Reviews in Food Science and Nutrition.2023; : 1.     CrossRef
  • Development and validation of a continuous metabolic syndrome severity score in the Tehran Lipid and Glucose Study
    Mohammadjavad Honarvar, Safdar Masoumi, Ladan Mehran, Davood Khalili, Atieh Amouzegar, Fereidoun Azizi
    Scientific Reports.2023;[Epub]     CrossRef
  • Associations of metabolic syndrome, its severity with cognitive impairment among hemodialysis patients
    Yuqi Yang, Qian Li, Yanjun Long, Jing Yuan, Yan Zha
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Resistin serum levels and its association with clinical profile and carotid intima-media thickness in psoriasis: a cross-sectional study
    Sofia Makishi Schlenker, Sofia Inez Munhoz, André Rochinski Busanello, Matheus Guedes Sanches, Barbara Stadler Kahlow, Renato Nisihara, Thelma Larocca Skare
    Anais Brasileiros de Dermatologia.2023; 98(6): 799.     CrossRef
  • Cholecystectomy Increases the Risk of Type 2 Diabetes in the Korean Population
    Ji Hye Huh, Kyong Joo Lee, Yun Kyung Cho, Shinje Moon, Yoon Jung Kim, Eun Roh, Kyung-do Han, Dong Hee Koh, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm
    Annals of Surgery.2023; 278(2): e264.     CrossRef
  • Cardiorespiratory Endurance is Associated with Metabolic Syndrome Severity in Men
    V. V. Sverchkov, E. V. Bykov
    Journal Biomed.2023; 19(2): 61.     CrossRef
  • Effect of a Wearable Device–Based Physical Activity Intervention in North Korean Refugees: Pilot Randomized Controlled Trial
    Ji Yoon Kim, Kyoung Jin Kim, Kyeong Jin Kim, Jimi Choi, Jinhee Seo, Jung-Been Lee, Jae Hyun Bae, Nam Hoon Kim, Hee Young Kim, Soo-Kyung Lee, Sin Gon Kim
    Journal of Medical Internet Research.2023; 25: e45975.     CrossRef
  • Independent association between age- and sex-specific metabolic syndrome severity score and cardiovascular disease and mortality
    Mohammadjavad Honarvar, Ladan Mehran, Safdar Masoumi, Sadaf Agahi, Shayesteh Khalili, Fereidoun Azizi, Atieh Amouzegar
    Scientific Reports.2023;[Epub]     CrossRef
  • Optimal Low-Density Lipoprotein Cholesterol Levels in Adults Without Diabetes Mellitus: A Nationwide Population-Based Study Including More Than 4 Million Individuals From South Korea
    Ji Hye Huh, Sang Wook Park, Tae-Hwa Go, Dae Ryong Kang, Sang-Hak Lee, Jang-Young Kim
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Triglyceride-Glucose Index for the Diagnosis of Metabolic Syndrome: A Cross-Sectional Study of 298,652 Individuals Receiving a Health Check-Up in China
    Mingfei Jiang, Xiaoran Li, Huan Wu, Fan Su, Lei Cao, Xia Ren, Jian Hu, Grace Tatenda, Mingjia Cheng, Yufeng Wen, Hou De Zhou
    International Journal of Endocrinology.2022; 2022: 1.     CrossRef
  • Changes in body composition, body balance, metabolic parameters and eating behavior among overweight and obese women due to adherence to the Pilates exercise program
    Hyun Ju Kim, Jihyun Park, Mi Ri Ha, Ye Jin Kim, Chaerin Kim, Oh Yoen Kim
    Journal of Nutrition and Health.2022; 55(6): 642.     CrossRef
  • Metabolic Syndrome Severity Score, Comparable to Serum Creatinine, Could Predict the Occurrence of End-Stage Kidney Disease in Patients with Antineutrophil Cytoplasmic Antibody-Associated Vasculitis
    Pil Gyu Park, Jung Yoon Pyo, Sung Soo Ahn, Jason Jungsik Song, Yong-Beom Park, Ji Hye Huh, Sang-Won Lee
    Journal of Clinical Medicine.2021; 10(24): 5744.     CrossRef
Obesity and Metabolic Syndrome
Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study
Jun Namkung, Joon Hyung Sohn, Jae Seung Chang, Sang-Wook Park, Jang-Young Kim, Sang-Baek Koh, In Deok Kong, Kyu-Sang Park
Diabetes Metab J. 2019;43(4):521-529.   Published online March 29, 2019
  • 4,663 View
  • 51 Download
  • 15 Web of Science
  • 16 Crossref
AbstractAbstract PDFPubReader   

Despite being an anti-obesity hepatokine, the levels of serum angiopoietin-like 6 (ANGPTL6) are elevated in various metabolic diseases. Thus, ANGPTL6 expression may reflect metabolic burden and may have compensatory roles. This study investigated the association between serum ANGPTL6 levels and new-onset metabolic syndrome.


In total, 221 participants without metabolic syndrome were randomly selected from a rural cohort in Korea. Baseline serum ANGPTL6 levels were measured using an enzyme-linked immunosorbent assay. Anthropometric and biochemical markers were analyzed before and after follow-up examinations.


During an average follow-up period of 2.75 (interquartile range, 0.76) years, 82 participants (37.1%) presented new-onset metabolic syndrome and had higher ANGPTL6 levels before onset than those without metabolic syndrome (48.03±18.84 ng/mL vs. 64.75±43.35 ng/mL, P=0.001). In the multivariable adjusted models, the odds ratio for the development of metabolic syndrome in the highest quartile of ANGPTL6 levels was 3.61 (95% confidence interval, 1.27 to 10.26). The use of ANGPTL6 levels in addition to the conventional components improved the prediction of new-onset metabolic syndrome (area under the receiver operating characteristic curve: 0.775 vs. 0.807, P=0.036).


Increased serum ANGPTL6 levels precede the development of metabolic syndrome and its components, including low high density lipoprotein, high triglyceride, and high glucose levels, which have an independent predictive value for metabolic syndrome.


Citations to this article as recorded by  
  • Angiopoietin-Like Proteins: Cardiovascular Biology and Therapeutic Targeting for the Prevention of Cardiovascular Diseases
    Eric Thorin, Pauline Labbé, Mélanie Lambert, Pauline Mury, Olina Dagher, Géraldine Miquel, Nathalie Thorin-Trescases
    Canadian Journal of Cardiology.2023; 39(12): 1736.     CrossRef
  • Hyperlipidemia and hypothyroidism
    Xin Su, Hua Peng, Xiang Chen, Xijie Wu, Bin Wang
    Clinica Chimica Acta.2022; 527: 61.     CrossRef
  • Multidimensional Biomarker Analysis Including Mitochondrial Stress Indicators for Nonalcoholic Fatty Liver Disease
    Eunha Chang, Jae Seung Chang, In Deok Kong, Soon Koo Baik, Moon Young Kim, Kyu-Sang Park
    Gut and Liver.2022; 16(2): 171.     CrossRef
  • Triglyceride and Triglyceride-Rich Lipoproteins in Atherosclerosis
    Bai-Hui Zhang, Fan Yin, Ya-Nan Qiao, Shou-Dong Guo
    Frontiers in Molecular Biosciences.2022;[Epub]     CrossRef
  • Relationship of ANGPTL6 With Neonatal Glucose Homeostasis and Fat Mass Is Disrupted in Gestational Diabetic Pregnancies
    Abel Valencia-Martínez, Ute Schaefer-Graf, Encarnación Amusquivar, Emilio Herrera, Henar Ortega-Senovilla
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(10): e4078.     CrossRef
  • Update on dyslipidemia in hypothyroidism: the mechanism of dyslipidemia in hypothyroidism
    Huixing Liu, Daoquan Peng
    Endocrine Connections.2022;[Epub]     CrossRef
  • RETRACTED ARTICLE: Relationship between the development of hyperlipidemia in hypothyroidism patients
    Xin Su, Xiang Chen, Bin Wang
    Molecular Biology Reports.2022; 49(11): 11025.     CrossRef
  • Effects of Exercise Intervention on Mitochondrial Stress Biomarkers in Metabolic Syndrome Patients: A Randomized Controlled Trial
    Jae Seung Chang, Jun Namkung
    International Journal of Environmental Research and Public Health.2021; 18(5): 2242.     CrossRef
  • Angiopoietin-like proteins in atherosclerosis
    Yi-Zhang Liu, Chi Zhang, Jie-Feng Jiang, Zhe-Bin Cheng, Zheng-Yang Zhou, Mu-Yao Tang, Jia-Xiang Sun, Liang Huang
    Clinica Chimica Acta.2021; 521: 19.     CrossRef
  • Effects of Bariatric Surgeries on Fetuin-A, Selenoprotein P, Angiopoietin-Like Protein 6, and Fibroblast Growth Factor 21 Concentration
    Jakub Poloczek, Wojciech Kazura, Ewa Kwaśnicka, Janusz Gumprecht, Jerzy Jochem, Dominika Stygar, Munmun Chattopadhyay
    Journal of Diabetes Research.2021; 2021: 1.     CrossRef
  • Hepatokines and Non-Alcoholic Fatty Liver Disease: Linking Liver Pathophysiology to Metabolism
    Tae Hyun Kim, Dong-Gyun Hong, Yoon Mee Yang
    Biomedicines.2021; 9(12): 1903.     CrossRef
  • Serum levels of angiopoietin-related growth factor in diabetes mellitus and chronic hemodialysis
    Cumhuriyet Medical Journal.2021;[Epub]     CrossRef
  • ANGPTL6 Level in Patient with Coronary Heart Disease and Its Relationship with the Severity of Coronary Artery Lesions
    蕾 任
    Advances in Clinical Medicine.2020; 10(05): 714.     CrossRef
  • Investigating the Role of Myeloperoxidase and Angiopoietin-like Protein 6 in Obesity and Diabetes
    Mohammad G. Qaddoumi, Muath Alanbaei, Maha M. Hammad, Irina Al Khairi, Preethi Cherian, Arshad Channanath, Thangavel Alphonse Thanaraj, Fahd Al-Mulla, Mohamed Abu-Farha, Jehad Abubaker
    Scientific Reports.2020;[Epub]     CrossRef
  • Letter: Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study (Diabetes Metab J 2019;43:521-9)
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2019; 43(5): 727.     CrossRef
  • Response: Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study (Diabetes Metab J 2019;43:521-9)
    Jun Namkung, Kyu-Sang Park
    Diabetes & Metabolism Journal.2019; 43(5): 729.     CrossRef

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