1. Background and Significance
The pathogenesis of Sepsis-associated encephalopathy (SAE) remains unclear, and effective early diagnostic and treatment methods are lacking. This study aims to perform whole exome sequencing (WES) on peripheral blood samples and combine genomic and clinical data from the UK Biobank (UKB) to identify pathogenic genes for SAE and explore their mechanisms in nerve injury.
2. Objectives
Analyze peripheral blood samples from SAE patients and controls using WES to identify pathogenic genes.
Investigate SAE-related genes using UKB data.
Identify biomarkers for SAE that may be used for early diagnosis and treatment.
3. Hypothesis
SAE is closely related to multiple genetic factors and mutations, which contribute to nerve injury.
4. Methods
Collect peripheral blood samples from sepsis patients and controls for WES, and obtain corresponding UKB data.
Use bioinformatics tools to detect gene variants, perform differential analysis, and correlate with UKB clinical data.
5. Required Data
Genomic Data: WES data from SAE patients, sepsis-only patients, and healthy controls in UKB.
Clinical Data: Demographics, disease diagnosis, clinical manifestations, and imaging data.
Biomarker Data: Blood biomarkers or other biological samples for gene-disease verification.
6. Expected Results and Impact
Identify key pathogenic genes for SAE, which may serve as biomarkers for early diagnosis and treatment.
7. Time Schedule
Oct 1 – Dec 1, 2025: Organize UKB data.
Dec 1, 2025 – Feb 1, 2026: Perform data analysis.
Feb 1 – Apr 1, 2026: Organize results, write the research paper, and submit it.
8. Academic Nature
This is a dissertation-based project and does not involve commercial use.
9. Student-led
The project is led by the student, responsible for research planning and execution.
10. Supervisor Guidance
The supervisor will assist the student with data analysis and experimental verification, ensuring research quality.
