| Title: | Multi-Omic Investigation of Diabetes and Its Complications: Insights from Genomic, Proteomic, and Metabolomic Data |
| Lead Institution: | China-Japan Friendship Hospital |
| Principal investigator: |
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About
This study aims to investigate the molecular mechanisms underlying diabetes and its complications, including diabetic nephropathy, using clinical, genomic, proteomic, and metabolomic data from the UK Biobank. We will explore how genetic variations, protein expression, and metabolic profiles correlate with the development and progression of these conditions. By integrating multi-omic data, we hope to identify key biomarkers and therapeutic targets that could improve early diagnosis, prognosis, and personalized treatment strategies for diabetes and its complications.3 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 21072 | Decoding the hypoxic injury landscape and hypoxic risk model construction in diabetic kidney disease: a multi-omics study | Li Jiang (+4) | 2026 | Frontiers in Bioinformatics |
| 20877 | Discovery and validation of a multi-protein panel for predicting non-fatal major adverse cardiovascular events in diabetic kidney disease | Li Jiang (+5) | 2026 | Frontiers in Endocrinology |
| 20695 | Plasma proteomics based on machine learning predict the early risk of kidney outcomes in patients with DKD: a prospective cohort study from UK Biobank | Li Jiang (+4) | 2026 | Frontiers in Nephrology |
Enabling scientific discoveries that improve human health