Cross‐Cohort Transcriptomic Integration Identifies IFIT2 as a Translational Diagnostic Biomarker and Functional Driver of Inflammation‐Linked Tubular Injury in Chronic Kidney Disease
Xiaoling Zhang, Xueyan Chen, Ya Yang, Yiyuan Zhang, Shaoqiu Chen · 2026
Read Cross‐Cohort Transcriptomic Integration Identifies IFIT2 as a Translational Diagnostic Biomarker and Functional Driver of Inflammation‐Linked Tubular Injury in Chronic Kidney Disease by Xiaoling Zhang, Xueyan Chen, Ya Yang, Yiyuan Zhang, Shaoqiu Chen (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13179815.txt.
Description
The authors present a 2026 study that mines gene data across cohorts to find a diagnostic marker for chronic kidney disease. The disease advances through inflammation and injury to the kidney's tubules, yet dependable markers with real biological roles are scarce. Pooling studies can separate sturdy signals from noise.
Two public data sets trained the search and a third validated it. Genes switched on in diseased kidneys clustered in immune and inflammatory processes. A combined scoring signature separated patients from controls in both training and validation sets. One gene stood out: IFIT2, an interferon-induced gene with strong diagnostic accuracy. Lab tests showed it switches on in kidney tubule cells under inflammatory and scarring signals. The authors present IFIT2 as both marker and driver.
Catalog record
| CREATOR | Xiaoling Zhang, Xueyan Chen, Ya Yang, Yiyuan Zhang, Shaoqiu Chen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |