Identification of shared diagnostic biomarkers and immune-related mechanisms between sepsis and thoracic aortic aneurysm based on integrated bioinformatics and machine learning approaches
Chengqun She, Hao Deng, Yaoguang Feng, Chaozhong Long, Juan Wu · 2026
Read Identification of shared diagnostic biomarkers and immune-related mechanisms between sepsis and thoracic aortic aneurysm based on integrated bioinformatics and machine learning approaches by Chengqun She, Hao Deng, Yaoguang Feng, Chaozhong Long, Juan Wu (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/plos-pone-0359784.txt.
Description
Chengqun She and colleagues searched in 2026 for signs in the body that two unlike diseases share. One is sepsis, the body's harsh, damaging response to infection. The other is a swelling of the aorta, the great artery, in the chest, which can burst with little warning. The team mined gene data with machine learning to find markers that flag both.
Their hunt centers on immune pathways, since inflammation runs through both diseases. A shared marker could help doctors spot either disease sooner, and could point to one treatment idea that serves both. The work is done on computers, using data gathered by others. Its candidate markers still need tests in the lab and the clinic before they can be trusted.
Catalog record
| CREATOR | Chengqun She, Hao Deng, Yaoguang Feng, Chaozhong Long, Juan Wu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31374 |
| LICENSE | CC_BY |
| RIGHTS | CC BY |
| SOURCE | PLOS |