Integrative multi-omics and machine learning identify CALR as a diagnostic and therapeutic target in aneurysmal subarachnoid hemorrhage
CALR serves as a promising diagnostic and therapeutic target in aneurysmal subarachnoid hemorrhage. This study highlights the role of multi-omics and machine learning in uncovering novel mechanisms and targets in cerebrovascular diseases.
Authors
- Zhaoxiang Zhang
- Chenfeng Ma
- Z. Y. Yuan (ORCID: https://orcid.org/0000-0003-2059-1680)
- Shujuan Chen (ORCID: https://orcid.org/0000-0002-1068-195X)
- Qikai Tang (ORCID: https://orcid.org/0000-0003-0712-6338)
- Liang Chen (ORCID: https://orcid.org/0000-0001-6644-477X)
- Yan Zou (ORCID: https://orcid.org/0000-0002-4743-4995)
- Xiaoming Zhou
- Qi Wu (ORCID: https://orcid.org/0000-0001-8511-7766)
- Bingtao Zhang (ORCID: https://orcid.org/0000-0003-3643-3580)
- Wei Wu (ORCID: https://orcid.org/0000-0002-9044-0901)
- Xin Zhang (ORCID: https://orcid.org/0000-0001-6388-9327)
Institutions
- Nanjing University of Chinese Medicine (CN)
- Nanjing General Hospital of Nanjing Military Command (CN)
- Jiaxing University (CN)
- Nanjing Traditional Chinese Medicine Hospital (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
- First Hospital of Jiaxing (CN)
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Experimental Neurology
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1016/j.expneurol.2025.115396
- Citations
- 1
- Primary Topic
- Intracranial Aneurysms: Treatment and Complications
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- National Natural Science Foundation of China