| Title: | Multifactorial Influences on Women's Health and related diseases. |
| Lead Institution: | Jilin University |
| Principal investigator: |
Application 629227
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About
Research questions and aims: Research Questions: 1. How do genetics, metabolism, environmental exposure, and lifestyle factors interact to affect women's health? 2. Do different factors influence women's transition from a healthy state to a diseased state? 3. Do different factors affect the health of women of different populations and age groups? Our aims are to explore: 1. The impact of multiple factors such as genetics, metabolism, environmental exposure, lifestyle, and plasma metabolites on the occurrence and prognosis of cardiovascular, endocrine, and reproductive system diseases in the female population, especially the comprehensive effects of the interaction of multiple factors. 2. Clinical factors and biomarkers that may aid in early diagnosis. 3. The potential impact of these factors on the transition from a healthy to a diseased state. The background and scientific rationale of the proposed research project: Research in recent years has shown that compared with men, women have significant differences in the incidence, course, and prognosis of breast cancer, osteoporosis, and cardiovascular diseases. These differences may be related to genetic susceptibility, hormone levels, immune reactions, and environmental factors are closely related. At the same time, studies have also shown that women are more likely to have psychological problems such as anxiety and depression than men. These multi-factor interactions may produce different health effects in different female groups by affecting mechanisms such as basic metabolic pathways and immune system responses. In particular, in women's unique physiological processes, such as the impact of physiological changes during pregnancy, perimenopause, and postmenopause on health. Therefore, systematic analysis of the synergistic effects of these factors will help reveal the fundamental mechanisms of women's health and provide data support for future clinical interventions and policymaking.2 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 19818 | Proteomic Profiling Captures Residual Cardiovascular Risk Beyond the PREVENT Model in Individuals With Cardiovascular-Kidney-Metabolic Syndrome Stages 2-3 | Xuefei Han (+4) | 2026 | Diabetes Obesity and Metabolism |
| 20101 | Sex-specific prediction models for aortic aneurysm integrating traditional clinical risk factors and proteomic profiles: a large-scale prospective study from the UK Biobank | Xuefei Han (+5) | 2026 | Biology of Sex Differences |
Enabling scientific discoveries that improve human health