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Jeong-Hun Shin  (Shin 1) 2 Articles
Metabolic Risk/Epidemiology
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Harnessing Metabolic Indices as a Predictive Tool for Cardiovascular Disease in a Korean Population without Known Major Cardiovascular Event
Hyun-Jin Kim, Byung Sik Kim, Yonggu Lee, Sang Bong Ahn, Dong Wook Kim, Jeong-Hun Shin
Diabetes Metab J. 2024;48(3):449-462.   Published online February 1, 2024
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  • 160 Download
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
This study evaluated the usefulness of indices for metabolic syndrome, non-alcoholic fatty liver disease (NAFLD), and insulin resistance (IR), as predictive tools for cardiovascular disease in middle-aged Korean adults.
The prospective data obtained from the Ansan-Ansung cohort database, excluding patients with major adverse cardiac and cerebrovascular events (MACCE). The primary outcome was the incidence of MACCE during the follow-up period.
A total of 9,337 patients were included in the analysis, of whom 1,130 (12.1%) experienced MACCE during a median follow-up period of 15.5 years. The metabolic syndrome severity Z-score, metabolic syndrome severity score, hepatic steatosis index, and NAFLD liver fat score were found to significantly predict MACCE at values above the cut-off point and in the second and third tertiles. Among these indices, the hazard ratios of the metabolic syndrome severity score and metabolic syndrome severity Z-score were the highest after adjusting for confounding factors. The area under the receiver operating characteristic curve (AUC) of the 10-year atherosclerotic cardiovascular disease (ASCVD) score for predicting MACCE was 0.716, and the metabolic syndrome severity Z-score had an AUC of 0.619.
The metabolic syndrome severity score is a highly reliable indicator and was closely associated with the 10-year ASCVD risk score in predicting MACCE in the general population. Given the specific characteristics and limitations of metabolic syndrome severity scores as well as the indices of NAFLD and IR, a more practical scoring system that considers these factors is essential to achieve greater accuracy in forecasting cardiovascular outcomes.


Citations to this article as recorded by  
  • Association between mixed exposure to per- and polyfluoroalkyl substances and metabolic syndrome in Korean adults: Data from the Korean National environmental health survey cycle 4
    Seung Min Chung, Kyun Hoo Kim, Jun Sung Moon, Kyu Chang Won
    International Journal of Hygiene and Environmental Health.2024; 261: 114427.     CrossRef
  • Estimated pulse wave velocity as a forefront indicator of developing metabolic syndrome in Korean adults
    Hyun-Jin Kim, Byung Sik Kim, Dong Wook Kim, Jeong-Hun Shin
    The Korean Journal of Internal Medicine.2024; 39(4): 612.     CrossRef
Basic Research
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Role of Autophagy in Granulocyte-Colony Stimulating Factor Induced Anti-Apoptotic Effects in Diabetic Cardiomyopathy
Guang-Yin Shen, Jeong-Hun Shin, Yi-Sun Song, Hyun-Woo Joo, In-Hwa Park, Jin-Hee Seong, Na-Kyoung Shin, A-Hyeon Lee, Young Jong Cho, Yonggu Lee, Young-Hyo Lim, Hyuck Kim, Kyung-Soo Kim
Diabetes Metab J. 2021;45(4):594-605.   Published online February 26, 2021
  • 7,670 View
  • 151 Download
  • 4 Web of Science
  • 4 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
We previously, reported that granulocyte-colony stimulating factor (G-CSF) reduces cardiomyocyte apoptosis in diabetic cardiomyopathy. However, the underlying mechanisms are not yet fully understood. Therefore, we investigated whether the mechanisms underlying of the anti-apoptotic effects of G-CSF were associated with autophagy using a rat model of diabetic cardiomyopathy.
Diabetic cardiomyopathy was induced in rats through a high-fat diet combined with low-dose streptozotocin and the rats were then treated with G-CSF for 5 days. Rat H9c2 cardiac cells were cultured under high glucose conditions as an in vitro model of diabetic cardiomyopathy. The extent of apoptosis and protein levels related to autophagy (Beclin-1, microtubule-binding protein light chain 3 [LC3]-II/LC3-I ratio, and P62) were determined for both models. Autophagy determination was performed using an Autophagy Detection kit.
G-CSF significantly reduced cardiomyocyte apoptosis in the diabetic myocardium in vivo and led to an increase in Beclin-1 level and the LC3-II/LC3-I ratio, and decreased P62 level. Similarly, G-CSF suppressed apoptosis, increased Beclin-1 level and LC3-II/LC3-I ratio, and decreased P62 level in high glucose-induced H9c2 cardiac cells in vitro. These effects of G-CSF were abrogated by 3-methyladenine, an autophagy inhibitor. In addition, G-CSF significantly increased autophagic flux in vitro.
Our results suggest that the anti-apoptotic effect of G-CSF might be significantly associated with the up-regulation of autophagy in diabetic cardiomyopathy.


Citations to this article as recorded by  
  • Targeting autophagy in diabetic cardiomyopathy: From molecular mechanisms to pharmacotherapy
    Jie Li, Yingying Xie, Shuwen Zheng, Haoming He, Zhe Wang, Xuexi Li, Siqi Jiao, Dong Liu, Furong Yang, Hailing Zhao, Ping Li, Yihong Sun
    Biomedicine & Pharmacotherapy.2024; 175: 116790.     CrossRef
  • Knockout of C1q/tumor necrosis factor-related protein-9 aggravates cardiac fibrosis in diabetic mice by regulating YAP-mediated autophagy
    Shiyan Ruan, Jun Li, Shengyun Lei, Shaomeng Zhang, Dan Xu, Anju Zuo, Linxi Li, Yuan Guo
    Frontiers in Pharmacology.2024;[Epub]     CrossRef
  • Ginkgo biloba extract protects against diabetic cardiomyopathy by restoring autophagy via adenosine monophosphate‐activated protein kinase/mammalian target of the rapamycin pathway modulation
    Xueyao Yang, Xin Zhao, Yanfei Liu, Yue Liu, Libo Liu, Ziyu An, Haoran Xing, Jinfan Tian, Xiantao Song
    Phytotherapy Research.2023; 37(4): 1377.     CrossRef
  • Perspectives for Forkhead box transcription factors in diabetic cardiomyopathy: Their therapeutic potential and possible effects of salvianolic acids
    Ronghui Han, Hemeng Huang, Weiyi Xia, Jingjin Liu, Hui Luo, Jing Tang, Zhengyuan Xia
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef

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