Diagnosis potential of subarachnoid hemorrhage using miRNA signatures isolated from plasma-derived extracellular vesicles.
Diagnosis potential of subarachnoid hemorrhage using miRNA signatures isolated from plasma-derived extracellular vesicles.
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DOI:
10.3389/fphar.2023.1090389
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发表时间:
2023
影响因子:
5.6
通讯作者:
中科院分区:
文献类型:
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作者:
The diagnosis and clinical management of aneurysmal subarachnoid hemorrhage (aSAH) is currently limited by the lack of accessible molecular biomarkers that reflect the pathophysiology of disease. We used microRNAs (miRNAs) as diagnostics to characterize plasma extracellular vesicles in aSAH. It is unclear whether they can diagnose and manage aSAH. Next-generation sequencing (NGS) was used to detect the miRNA profile of plasma extracellular vesicles (exosomes) in three patients with SAH and three healthy controls (HCs). We identified four differentially expressed miRNAs and validated the results using quantitative real-time polymerase chain reaction (RT-qPCR) with 113 aSAH patients, 40 HCs, 20 SAH model mice, and 20 sham mice. Exosomal miRNA NGS revealed that six circulating exosomal miRNAs were differentially expressed in patients with aSAH versus HCs and that the levels of four miRNAs (miR-369-3p, miR-410-3p, miR-193b-3p, and miR-486-3p) were differentially significant. After multivariate logistic regression analysis, only miR-369-3p, miR-486-3p, and miR-193b-3p enabled prediction of neurological outcomes. In a mouse model of SAH, greater expression of miR-193b-3p and miR-486-3p remained statistically significant relative to controls, whereas expression levels of miR-369-3p and miR-410-3p were lower. miRNA gene target prediction showed six genes associated with all four of these differentially expressed miRNAs. The circulating exosomes miR-369-3p, miR-410-3p, miR-193b-3p, and miR-486-3p may influence intercellular communication and have potential clinical utility as prognostic biomarkers for aSAH patients.
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影响因子:
11.4
作者:
Mets E;Van der Meulen J;Van Peer G;Boice M;Mestdagh P;Van de Walle I;Lammens T;Goossens S;De Moerloose B;Benoit Y;Van Roy N;Clappier E;Poppe B;Vandesompele J;Wendel HG;Taghon T;Rondou P;Soulier J;Van Vlierberghe P;Speleman F
通讯作者:
Speleman F
影响因子:
9.7
作者:
Dinami, Roberto;Petti, Eleonora;Biroccio, Annamaria
通讯作者:
Biroccio, Annamaria
影响因子:
16
作者:
Kalani, M. Yashar S.;Alsop, Eric;Van Keuren-Jensen, Kendall
通讯作者:
Van Keuren-Jensen, Kendall
影响因子:
5.3
作者:
Feng L;Wang R;Wang Y;Shen X;Shi Q;Lian M;Ma H;Fang J
通讯作者:
Fang J
DOI:
10.1146/annurev-pathmechdis-031521-022116
发表时间:
2023-01-24
期刊:
Annual review of pathology
影响因子:
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作者:
通讯作者:
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