Subtyping strokes using blood‐based protein biomarkers: A high‐throughput proteomics and machine learning approach
Our study demonstrated that GFAP, MMP-9 and APO-C1 biomarkers independently differentiated IS from ICH within 24 h and significantly improved the discrimination ability of prediction models. Temporal profiling of these biomarkers in the acute phase of stroke is warranted.
Authors
- Awadh Kishor Pandit (ORCID: https://orcid.org/0000-0003-2847-9730)
- Dheeraj Mohania
- Shantanu Sengupta (ORCID: https://orcid.org/0000-0001-8461-0735)
- Praveen Aggarwal (ORCID: https://orcid.org/0000-0002-4611-5458)
- Manoj Kushwaha (ORCID: https://orcid.org/0000-0003-3133-5762)
- Kameshwar Prasad (ORCID: https://orcid.org/0000-0001-9673-2473)
- Manabesh Nath (ORCID: https://orcid.org/0000-0001-5979-8377)
- Rahul Chakraborty (ORCID: https://orcid.org/0009-0008-9104-8873)
- Pumanshi Talwar
- Divya Bhalla
- Nishant K. Mishra (ORCID: https://orcid.org/0000-0002-9327-3707)
- Shubham Misra (ORCID: https://orcid.org/0000-0002-4920-2573)
- Deepti Vibha (ORCID: https://orcid.org/0000-0003-3659-7526)
- Pradeep Kumar (ORCID: https://orcid.org/0000-0003-4262-3946)
- Amit Kumar (ORCID: https://orcid.org/0000-0002-8475-2538)
- Zuhaibur Rahman
- Praveen Singh (ORCID: https://orcid.org/0009-0004-8516-975X)
- Achal K. Srivastava
Institutions
- Institute of Genomics and Integrative Biology (IN)
- Baylor College of Medicine (US)
- Rajendra Institute of Medical Sciences (IN)
- Yale University (US)
- VA Connecticut Research and Education Foundation (US)
- Munich Cluster for Systems Neurology (DE)
- All India Institute of Medical Sciences (IN)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- European Journal of Clinical Investigation
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1111/eci.14372
- Citations
- 3
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- All-India Institute of Medical Sciences