Plasma proteomics profiles predict the risk of future aortic aneurysm and aortic dissection
Our study highlights the potential of plasma proteomics, particularly combination of four proteins (CST3, MMP12, MEGF9, and CXCL17), as a valuable strategy for predicting AA/AD risk. The integration of proteomic biomarkers with demographic factors enhances predictive accuracy and offers insights into the underlying molecular mechanisms, which could lead to improved early detection and personalized treatment for AA/AD.
Authors
- Lunchang Wang
- Shasha Xiao
- Qi Qin (ORCID: https://orcid.org/0000-0003-3129-3523)
- Chang Shu (ORCID: https://orcid.org/0000-0003-2066-1183)
- Keyun Fu
- Xin Li (ORCID: https://orcid.org/0000-0002-7414-5734)
- Zhaowei Zhu
- Jiehua Li (ORCID: https://orcid.org/0000-0002-7244-3631)
- Maohua Li (ORCID: https://orcid.org/0000-0003-1763-3544)
- Wei Gong (ORCID: https://orcid.org/0000-0003-4881-695X)
- Xiao He
Institutions
- Central South University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Second Xiangya Hospital of Central South University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-06-27
- DOI
- https://doi.org/10.1097/js9.0000000000002845
- Citations
- 1
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.52