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DOI 10.3390/ijms241813821

Медицинская библиотека · International journal of molecular sciences · 2023

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

Li Qianyun, Zhao Lingyun, Chan Ching Long, Zhang Yilin, Tong See Wai, Zhang Xiaodan, Ho Joshua Wing Kei, Jiao Yaqing, Rainer Timothy Hudson

МетаанализСистематический обзорСтатьяПеревод пока не подготовлен

Аннотация

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.

Для цитирования: Li Qianyun, Zhao Lingyun, Chan Ching Long, Zhang Yilin, Tong See Wai, Zhang Xiaodan, Ho Joshua Wing Kei, Jiao Yaqing, Rainer Timothy Hudson. Multi-Level Biomarkers for Early Diagnosis of Ischaemic Stroke: A Systematic Review and Meta-Analysis.. International journal of molecular sciences. 2023. DOI: 10.3390/ijms241813821.

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