Cohort Profile for the Tongji Cardiovascular Health Study: a Prospective Multiomics Cohort Study

Overview

Journal BMJ Open

Specialty General Medicine

Date 2024 Feb 16

PMID 38365303

Authors

Ting Xu

Yueqi Lu

Bangwei Chen

Chenxin Deng

Yucong Zhang

Mei Wang

Huifen Ling

Yi Huang

Jing Yuan

Xin Jin

Lei Ruan

Tao Li

Cun-Tai Zhang

Affiliations

Soon will be listed here.

Abstract

Purpose: The Tongji Cardiovascular Health Study aimed to further explore the onset and progression mechanisms of cardiovascular disease (CVD) through a combination of traditional cohort studies and multiomics analysis, including genomics, metabolomics and metagenomics.

Study Design And Participants: This study included participants aged 20-70 years old from the Geriatric Health Management Centre of Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology. After enrollment, each participant underwent a comprehensive series of traditional and novel cardiovascular risk factor assessments at baseline, including questionnaires, physical examinations, laboratory tests, cardiovascular health assessments and biological sample collection for subsequent multiomics analysis (whole genome sequencing, metabolomics study from blood samples and metagenomics study from stool samples). A biennial follow-up will be performed for 10 years to collect the information above and the outcome data.

Findings To Date: A total of 2601 participants were recruited in this study (73.4% men), with a mean age of 51.5±11.5 years. The most common risk factor is overweight or obesity (54.8%), followed by hypertension (39.7%), hyperlipidaemia (32.4%), current smoking (23.9%) and diabetes (12.3%). Overall, 13.1% and 48.7% of men and women, respectively, did not have any of the CVD risk factors (hypertension, hyperlipidaemia, diabetes, cigarette smoking and overweight or obesity). Additionally, multiomics analyses of a subsample of the participants (n=938) are currently ongoing.

Future Plans: With the progress of the cohort follow-up work, it is expected to provide unique multidimensional and longitudinal data on cardiovascular health in China.

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