Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis
Xi Yong, Xuerui Hu, Tengyao Kang, Yanpiao Deng, Sixuan Li, Shuihan Yu, Yani Hou, Jin You, Xiaohe Dai, Jialin Zhang, Junjia Zhang, Junlin Zhou, Siyu Zhang, Jianghua Zheng, Qin Yang, Jingdong Li · 2024
Read Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis by Xi Yong, Xuerui Hu, Tengyao Kang, Yanpiao Deng, Sixuan Li, Shuihan Yu, Yani Hou, Jin You, Xiaohe Dai, Jialin Zhang, Junjia Zhang, Junlin Zhou, Siyu Zhang, Jianghua Zheng, Qin Yang, Jingdong Li (2024) 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-11665846.txt.
Description
Xi Yong and co-authors hunt marker genes for a dangerous swelling of the main belly artery. Their 2024 study uses many data types plus machine learning. The illness, abdominal aortic aneurysm, widens the artery step by step and can burst if untreated.
Single-cell data show more macrophages and killer T cells in sick tissue than in healthy tissue. Chat signals between immune cells also run stronger in the aneurysm wall. Gene activity points to immune and metabolic paths at the core of the disease. Learning models single out two genes as lead markers. One runs high in sick tissue and the other runs low. Both track closely with immune cell entry into the wall.
Catalog record
| CREATOR | Xi Yong, Xuerui Hu, Tengyao Kang, Yanpiao Deng, Sixuan Li, Shuihan Yu, Yani Hou, Jin You, Xiaohe Dai, Jialin Zhang, Junjia Zhang, Junlin Zhou, Siyu Zhang, Jianghua Zheng, Qin Yang, Jingdong Li |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 22 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |