Comprehensive molecular analyses of a circadian rhythm-related gene diagnostic model and immune infiltration using machine learning methods in sepsis-associated acute kidney injury
Yuzhen Luo, Tangjuan Liu, Yiqiang Chen · 2026
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Description
Yuzhen Luo, Tangjuan Liu, and Yiqiang Chen wrote a 2026 paper on kidney injury in patients with severe infection. Sepsis can shut down the kidneys fast, and early diagnosis saves lives. The team hunted for genes tied to the body clock that could flag this injury, since clock genes steer many daily cell processes.
They mined two public data sets of gene activity and used network methods to find candidate clock genes. Three machine learning tools then narrowed the list to seven genes that mark the condition. The genes were checked against a third data set and against blood samples from real patients. The team also mapped how the genes relate to immune cells in the kidney. A gene panel like this could speed diagnosis.
Catalog record
| CREATOR | Yuzhen Luo, Tangjuan Liu, Yiqiang Chen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |