Research Questions:
This study primarily focuses on three scientific questions: 1) The impact mechanisms of single or combined lifestyle factors on the incidence risk of gastrointestinal diseases; 2) The feasibility of metabolites as biomarkers for early disease diagnosis and prognostic evaluation; 3) The action pathways through which genetic variations and environmental factors interactively regulate disease progression.
Research Objectives:
We aims to integrate multi-dimensional data to construct a multi-factor risk prediction model, with key objectives as follows:
1). Quantifying the associations between various lifestyle factors and the incidence/mortality of gastrointestinal diseases, and screening independent risk factors;
2). Classifying populations with gastrointestinal diseases based on different risk factors, exploring genetic phenotypes related to specific etiologies, and revealing the genetic-environment interaction patterns of disease occurrence;
3). Developing tools based on machine learning to construct predictive models, and further improving precision treatment strategies for gastrointestinal diseases.
Scientific rationale:
Gastrointestinal diseases have become a global public health challenge, yet existing studies have several limitations: Lifestyle research is mostly confined to single-factor analysis, lacking systematic exploration of multifactor interactions; Research on genetic-environment interaction mechanisms lags, making it difficult to explain individual risk differences; Most plasma metabolic markers are screened based on small samples, lacking large-sample validation of diagnostic efficacy. We seeks to explore independent and combined effects through collaborative analysis of multi-dimensional factors, enhance the understanding of gastrointestinal disease pathogenesis, and contribute to the development of more effective prevention and treatment strategies.
