Hao Jiang;Juan F. Toscano;Shlee S. Song;Konrad H. Schlick;Oana M. Dumitrascu;建伟 潘;Patrick D. Lyden;Jeffrey L. Saver;Nestor R. Gonzalez
Cedars-Sinai Medical Center;Zhejiang University;China Association for Science and Technology;University of California at Los Angeles
发表时间:2019-12-1
期 刊:Scientific Reports
语 言:English
U R L: http://www.scopus.com/inward/record.url?scp=85076719383&partnerID=8YFLogxK
Intracranial atherosclerotic disease (ICAD) is a common cause of stroke with high rates of ischemic recurrence. We aimed to investigate the role of circulating exosomal microRNAs (e-miRNAs) in recurrent ischemic events in ICAD. Consecutive patients with severe ICAD undergoing intensive medical management (IMM) were prospectively enrolled. Those with recurrent ischemic events despite IMM during 6-month follow up were algorithmically matched to IMM responders. Baseline blood e-miRNA expression levels of the matched patients were measured using next generation sequencing. A total of 122 e-miRNAs were isolated from blood samples of 10 non-responders and 11 responders. Thirteen e-miRNAs predicted IMM failure with 90% sensitivity and 100% specificity. Ingenuity pathway analysis (IPA) determined 10 of the 13 e-miRNAs were significantly associated with angiogenesis-related biological functions (p < 0.025) and angiogenic factors that have been associated with recurrent ischemic events in ICAD. These e-miRNAs included miR-122-5p, miR-192-5p, miR-27b-3p, miR-16-5p, miR-486-5p, miR-30c-5p, miR-10b-5p, miR-10a-5p, miR-101-3p, and miR-24-3p. As predicted by IPA, the specific expression profiles of these 10 e-miRNAs in non-responders had a net result of inhibition of the angiogenesis-related functions and up expression of the antiangiogenic factors. This study revealed distinct expression profiles of circulating e-miRNAs in refractory ICAD, suggesting an antiangiogenic mechanism underlying IMM failure.
医学与生命科学
Scopus度量
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2011 | 0.2 | ||
2012 | 1.1 | 1.531 | 1.002 |
2013 | 2.4 | 1.998 | 1.604 |
2014 | 4.2 | 2.163 | 1.58 |
2015 | 4.2 | 2.034 | 1.595 |
2016 | 4.2 | 1.692 | 1.362 |
2017 | 4.8 | 1.533 | 1.257 |
2018 | 6.4 | 1.414 | 1.274 |
2019 | 7.2 | 1.341 | 1.365 |
2020 | 6.7 |
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