Erythrocyte odd-chain fatty acids and the risk of cardiometabolic diseases: a prospective study and updated meta-analysis - Top-Institutions - MDSpire

Erythrocyte odd-chain fatty acids and the risk of cardiometabolic diseases: a prospective study and updated meta-analysis

  • By

  • Liang Sun

  • Xinming Xu

  • Huaidong Du

  • Ling Lu

  • Fumiaki Imamura

  • Qishan Yang

  • Yiping Chen

  • Yan Chen

  • Pei Pei

  • Huiyong Yin

  • Ling Yang

  • Geng Zong

  • Canqing Yu

  • Qianqian Chu

  • Jun Lv

  • Puchen Zhou

  • Dianjianyi Sun

  • Junshi Chen

  • Xiang Gao

  • Liming Li

  • Zhengming Chen

  • Xu Lin

  • on behalf of the China Kadoorie Biobank Collaborative Group

  • September 24, 2025

  • 0 min

Share

Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Harvard T.H. Chan School of Public Health
    Harvard T.H. Chan School of Public Health

    Boston, MA

    Key Differentiators

    • Nutritional Epidemiology
    • Cardiometabolic Disease
    • Lipidomics
  • #2

    Johns Hopkins Bloomberg School of Public Health
    Johns Hopkins Bloomberg School of Public Health

    Baltimore, MD

    Key Differentiators

    • Cardiovascular Epidemiology
    • Nutritional Biomarkers
    • Metabolic Disease
  • #3

    University of Cambridge, MRC Epidemiology Unit
    University of Cambridge, MRC Epidemiology Unit

    Cambridge, UK

    Key Differentiators

    • Epidemiology
    • Metabolic Health
    • Nutritional Science
  • #4

    National University of Singapore, Saw Swee Hock School of Public Health
    National University of Singapore, Saw Swee Hock School of Public Health

    Singapore, Singapore

    Key Differentiators

    • Public Health
    • Nutritional Epidemiology
    • Cardiometabolic Disease
  • #5

    Chinese Academy of Medical Sciences, Peking Union Medical College
    Chinese Academy of Medical Sciences, Peking Union Medical College

    Beijing, China

    Key Differentiators

    • Cardiometabolic Research
    • Nutritional Epidemiology
    • Biomarker Discovery

Original Source(s)

Related Content