This project aims to answer the following questions:
1.A case-control study was designed to explore the association of lifestyle, treatment and mental health with multi-omics markers and clinical features, and then to explore its association with ( endocrine, neurological, immune, digestive system, kidney, cardiovascular disease ) comorbidity.
2.To analyze the relationship between lifestyle, treatment plan, mental health and the occurrence and development of comorbidity through cohort study.
3.Through Mendel ‘s randomization analysis, the causal relationship between lifestyle, treatment plan, mental health and multi-omics markers, clinical features and the occurrence and development of comorbidities was revealed.
The background and scientific rationale of the proposed research project in general:
Comorbidity has become an increasingly prominent topic of research in recent years. Because many diseases share common pathogenic mechanisms, patients often develop one disease followed by several others, resulting in reduced quality of life and increased healthcare burden. Consequently, comorbidity has emerged as a significant public health challenge. Previous studies have demonstrated that common pathways-such as chronic inflammation, autoimmune disorders, digestive system dysfunctions, and neuroendocrine abnormalities-underlie multiple diseases. Multi-omics data can reveal the molecular characteristics of disease interactions, while lifestyle factors and mental health are increasingly recognized both as contributors to and consequences of comorbidity. However, direct evidence linking these areas within a unified framework remains limited due to small sample sizes, heterogeneity in disease definitions, and technical variability in imaging and biomarker measurements. Therefore, large-scale, integrated analyses combining imaging, omics, and mental health data are essential for elucidating shared mechanisms and identifying high-risk individuals.
