Comparative transcriptome findings reveal the neuroinflammatory network and potential biomarkers to early detection of ischemic stroke.
Biomarkers
Ischemic stroke
Neuroinflammation
Therapeutic targets
Transcriptome analysis
Journal
Journal of biological engineering
ISSN: 1754-1611
Titre abrégé: J Biol Eng
Pays: England
ID NLM: 101306640
Informations de publication
Date de publication:
02 Aug 2023
02 Aug 2023
Historique:
received:
21
11
2022
accepted:
25
06
2023
medline:
3
8
2023
pubmed:
3
8
2023
entrez:
2
8
2023
Statut:
epublish
Résumé
Ischemic stroke accounts for 70-80% of all stroke cases, leading to over two million people dying every year. Poor diagnosis and late detection are the major causes of the high death and disability rate. In the present study, we used the middle cerebral artery occlusion (MCAO) rat model and applied comparative transcriptomic analysis, followed by a systematic advanced bioinformatic analysis, including gene ontology enrichment analysis and Ingenuity Pathway Analysis (IPA). We aimed to identify novel biomarkers for the early detection of ischemic stroke. In addition, we aimed to delineate the molecular mechanisms underlying the development of ischemic stroke, in which we hoped to identify novel therapeutic targets for treating ischemic stroke. In the comparative transcriptomic analysis, we identified 2657 differentially expressed genes (DEGs) in the brain tissue of the MCAO model. The gene enrichment analysis highlighted the importance of these DEGs in oxygen regulation, neural functions, and inflammatory and immune responses. We identified the elevation of angiopoietin-2 and leptin receptor as potential novel biomarkers for early detection of ischemic stroke. Furthermore, the result of IPA suggested targeting the inflammasome pathway, integrin-linked kinase signaling pathway, and Th1 signaling pathway for treating ischemic stroke. The results of the present study provide novel insight into the biomarkers and therapeutic targets as potential treatments of ischemic stroke.
Identifiants
pubmed: 37533068
doi: 10.1186/s13036-023-00362-8
pii: 10.1186/s13036-023-00362-8
pmc: PMC10398984
doi:
Types de publication
Journal Article
Langues
eng
Pagination
50Subventions
Organisme : Natural Science Foundation of Guangxi Province
ID : 2023GXNSFAA026193
Organisme : Natural Science Foundation of Guangxi Province
ID : 2023GXNSFAA026197
Organisme : National Natural Science Foundation of China
ID : 81801361
Informations de copyright
© 2023. The Author(s).
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