Development and Validation of a Diagnostic Model for Stanford Type B Aortic Dissection Based on Proteomic Profiling
Using proteomic profiling, we identified serum IL-6, GDF-15, CD58, LY9, and Siglec-7 as TBAD biomarkers. The machine-learning-based diagnostic model exhibited significant potential for TBAD diagnosis using only blood samples within the population.
Authors
- Dongsheng Fu
- Yiqun Han (ORCID: https://orcid.org/0000-0002-9370-9742)
- Huan Dou (ORCID: https://orcid.org/0000-0001-6330-398X)
- Reyaguli Keyoumu
- Jianfeng Duan (ORCID: https://orcid.org/0000-0003-2701-2709)
- Yinghuan Shi (ORCID: https://orcid.org/0000-0003-4534-7318)
- T. Chen
- Chaohui Pan
- Zihe Zhao (ORCID: https://orcid.org/0000-0001-9834-7720)
- Zhao Liu (ORCID: https://orcid.org/0009-0000-5103-9923)
- Lili Sun (ORCID: https://orcid.org/0009-0001-5624-2952)
- Wendong Li (ORCID: https://orcid.org/0000-0001-8344-419X)
- Yuzhu Wang (ORCID: https://orcid.org/0000-0002-7504-6033)
- Qingyuan Liu (ORCID: https://orcid.org/0000-0002-9711-3583)
- Yi Jin (ORCID: https://orcid.org/0009-0004-8391-3178)
- Xia Gao (ORCID: https://orcid.org/0000-0002-1672-544X)
- Jiang Hu (ORCID: https://orcid.org/0000-0002-3043-143X)
- Ling Tong (ORCID: https://orcid.org/0000-0001-6509-2338)
- Yuanhao Tong (ORCID: https://orcid.org/0000-0001-8842-1974)
- Zhengyang Zhu
Institutions
- Capital Medical University (CN)
- Beijing Tian Tan Hospital (CN)
- Nanjing Drum Tower Hospital (CN)
- Nanjing Medical University (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-01-01
- DOI
- https://doi.org/10.2147/jir.s494191
- Citations
- 3
- Primary Topic
- Aortic Disease and Treatment Approaches
- Type
- article
- Field-Weighted Citation Impact
- 4.56
Funders
- National Natural Science Foundation of China
- Nanjing University