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Article: Multi-Level Biomarkers for Early Diagnosis of Ischaemic Stroke: A Systematic Review and Meta-Analysis

TitleMulti-Level Biomarkers for Early Diagnosis of Ischaemic Stroke: A Systematic Review and Meta-Analysis
Authors
Issue Date7-Sep-2023
PublisherMDPI
Citation
International Journal of Molecular Sciences, 2023, v. 24, n. 18 How to Cite?
Abstract

Blood biomarkers hold potential for the early diagnosis of ischaemic stroke (IS). We aimed to evaluate the current weight of evidence and identify potential biomarkers and biological pathways for further investigation. We searched PubMed, EMBASE, the Cochrane Library and Web of Science, used R package meta4diag for diagnostic meta-analysis and applied Gene Ontology (GO) analysis to identify vital biological processes (BPs). Among 8544 studies, we included 182 articles with a total of 30,446 participants: 15675 IS, 2317 haemorrhagic stroke (HS), 1798 stroke mimics, 846 transient ischaemic attack and 9810 control subjects. There were 518 pooled biomarkers including 203 proteins, 114 genes, 108 metabolites and 88 transcripts. Our study generated two shortlists of biomarkers for future research: one with optimal diagnostic performance and another with low selection bias. Glial fibrillary acidic protein was eligible for diagnostic meta-analysis, with summary sensitivities and specificities for differentiating HS from IS between 3 h and 24 h after stroke onset ranging from 73% to 80% and 77% to 97%, respectively. GO analysis revealed the top five BPs associated with IS. This study provides a holistic view of early diagnostic biomarkers in IS. Two shortlists of biomarkers and five BPs warrant future investigation. 


Persistent Identifierhttp://hdl.handle.net/10722/331882
ISSN
2023 Impact Factor: 4.9
2023 SCImago Journal Rankings: 1.179

 

DC FieldValueLanguage
dc.contributor.authorLi, Qianyun-
dc.contributor.authorZhao, Lingyun-
dc.contributor.authorChan, Ching Long-
dc.contributor.authorZhang, Yilin-
dc.contributor.authorTong, See Wai-
dc.contributor.authorZhang, Xiaodan-
dc.contributor.authorHo, Joshua Wing Kei-
dc.contributor.authorJiao, Yaqing-
dc.contributor.authorRainer, Timothy Hudson-
dc.date.accessioned2023-09-28T04:59:20Z-
dc.date.available2023-09-28T04:59:20Z-
dc.date.issued2023-09-07-
dc.identifier.citationInternational Journal of Molecular Sciences, 2023, v. 24, n. 18-
dc.identifier.issn1661-6596-
dc.identifier.urihttp://hdl.handle.net/10722/331882-
dc.description.abstract<p>Blood biomarkers hold potential for the early diagnosis of ischaemic stroke (IS). We aimed to evaluate the current weight of evidence and identify potential biomarkers and biological pathways for further investigation. We searched PubMed, EMBASE, the Cochrane Library and Web of Science, used R package meta4diag for diagnostic meta-analysis and applied Gene Ontology (GO) analysis to identify vital biological processes (BPs). Among 8544 studies, we included 182 articles with a total of 30,446 participants: 15675 IS, 2317 haemorrhagic stroke (HS), 1798 stroke mimics, 846 transient ischaemic attack and 9810 control subjects. There were 518 pooled biomarkers including 203 proteins, 114 genes, 108 metabolites and 88 transcripts. Our study generated two shortlists of biomarkers for future research: one with optimal diagnostic performance and another with low selection bias. Glial fibrillary acidic protein was eligible for diagnostic meta-analysis, with summary sensitivities and specificities for differentiating HS from IS between 3 h and 24 h after stroke onset ranging from 73% to 80% and 77% to 97%, respectively. GO analysis revealed the top five BPs associated with IS. This study provides a holistic view of early diagnostic biomarkers in IS. Two shortlists of biomarkers and five BPs warrant future investigation. <br></p>-
dc.languageeng-
dc.publisherMDPI-
dc.relation.ispartofInternational Journal of Molecular Sciences-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleMulti-Level Biomarkers for Early Diagnosis of Ischaemic Stroke: A Systematic Review and Meta-Analysis-
dc.typeArticle-
dc.identifier.doi10.3390/ijms241813821-
dc.identifier.volume24-
dc.identifier.issue18-
dc.identifier.eissn1422-0067-
dc.identifier.issnl1422-0067-

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