| Title: | Environment, Lifestyle, Multi-omics biomarkers, Genetics, and the risk of Cardiorenal-Liver Metabolic Conditions |
| Lead Institution: | China-Japan Friendship Hospital |
| Principal investigator: |
Application 896530
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About
Aims: This project aims to comprehensively investigate the integrated effects of environmental exposures, lifestyle factors, multi-omics biomarkers, and genetic determinants on cardiorenal-metabolic diseases (e.g., cardiovascular disease, chronic kidney disease, type 2 diabetes mellitus, and metabolic dysfunction-associated fatty liver disease). Leveraging the UK Biobank database, we will employ a multidisciplinary approach combining epidemiology, molecular biology, and bioinformatics to identify novel risk markers, potential therapeutic targets, and underlying pathological mechanisms. Key research questions: 1. How do environmental pollutants (e.g., air pollution, heavy metals) interact with dietary patterns to influence cardiorenal-metabolic disease risk? 2. Can multi-omics biomarkers (proteomics, metabolomics) enable early prediction of disease progression? 3. Do genetic risk scores exhibit synergistic effects with environmental/lifestyle factors? Primary objectives: 1. Develop an integrated risk assessment model incorporating environment-lifestyle-omics-genetics; 2. Identify modifiable risk factors (e.g., specific dietary components, exercise patterns); 3. Discover shared biomarkers across multi-organ metabolic dysregulation. Scientific rationale: Cardiorenal-metabolic diseases share common pathological pathways (e.g., inflammation, oxidative stress), yet current research remains organ-specific. UK Biobank's multidimensional data (including biochemical assays, imaging, genomics, and longitudinal follow-up) provides a unique opportunity for systematic investigation. Project duration: 3 years. Public Health Impact: This research will directly inform: (1) precision prevention approaches through risk stratification, (2) early detection strategies using omics biomarkers, and (3) targeted interventions for high-risk populations. The findings will advance integrated care models for managing cardiorenal-metabolic multimorbidity.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 20110 | Association between air pollution exposure and increased chronic kidney disease risk: the modifying effects of genetic susceptibility, transcriptomic, and proteomic signatures | Jian Lu (+6) | 2026 | BMC Medicine |
Enabling scientific discoveries that improve human health