Association of DNA methylation epigenetic markers with all-cause mortality and cardiovascular disease-related mortality in diabetic population: a machine learning-based retrospective cohort study.

Journal: Diabetology & metabolic syndrome
Published Date:

Abstract

BACKGROUND: Diabetes has a large and diverse population, with individuals exhibiting significant heterogeneity in the disease. The factors influencing survival and prognosis are complex, making early intervention in diabetic populations particularly challenging. Research has demonstrated a close relationship between DNA methylation (DNAm) clocks and aging as well as various diseases, showing superior predictive capabilities. However, the relationship between DNAm clocks and long-term survival in diabetic patients, particularly concerning cardiovascular-related mortality, remains unclear.

Authors

  • Yuxin Nong
    Department of Cardiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Medical Center of Soochow University, Suzhou, 215000, China.
  • Huazhen Huang
    Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
  • Lulu Xu
    College of Software, Jiangxi Agricultural University, Nanchang 330045, People's Republic of China.
  • Xin Tan
    School of Public Health, Chengdu Medical College, Chengdu 610500, China.
  • Shuai Xu
    Department of Dermatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Querrey Institute for Bioelectronics, Northwestern University, Evanston, Illinois, USA. Electronic address: stevexu@northwestern.edu.
  • Xinyu Zhou
    School of Economics and Management, Harbin Engineering University, Harbin, 150001, Heilongjiang, People's Republic of China. zhouxinyu0824@foxmail.com.
  • Yiyao Zeng
    Department of Cardiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Medical Center of Soochow University, Suzhou, 215000, China.
  • Yufeng Jiang
    Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
  • Hezi Jiang
    Department of Cardiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Medical Center of Soochow University, Suzhou, 215000, China.
  • Xiangyu Wang
    Key Laboratory of Animal Genetics and Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
  • Xian Li
    Laboratory of Fruit Quality Biology, Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Hangzhou 310058, China.
  • Anchen Xu
    Department of Cardiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Medical Center of Soochow University, Suzhou, 215000, China.
  • Qiaoyi Sun
    Department of Cardiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Medical Center of Soochow University, Suzhou, 215000, China.
  • Hongju Wang
    Department of Cardiovascular Disease, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui Province, 233099, China. docwhj1101@163.com.
  • Pinfang Kang
    Department of Cardiovascular Disease, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui Province, 233099, China.
  • Jili Fan
    Department of Cardiovascular Disease, Taihe County People's Hospital, Fuyang, 236600, China.
  • Xiaohong Bo
    Department of Cardiovascular Disease, Taihe County People's Hospital, Fuyang, 236600, China.
  • Huimin Fan
    Department of Cardiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Medical Center of Soochow University, Suzhou, 215000, China. fhm_sunshine@163.com.
  • Yafeng Zhou
    Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.

Keywords

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