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The correlation of long non‐coding RNA intersectin 1‐2 with disease risk, disease severity, inflammation, and prognosis of acute ischemic stroke
Author(s) -
Zhang Yi,
Niu Chenglin
Publication year - 2020
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.23053
Subject(s) - medicine , receiver operating characteristic , confidence interval , inflammation , gastroenterology , real time polymerase chain reaction , microrna , gene , biology , biochemistry
Background This study aimed to evaluate the predictive value of long non‐coding RNA intersectin 1‐2 (lnc‐ITSN1‐2) for acute ischemic stroke (AIS) risk, and investigate its correlation with disease severity, inflammation, and recurrence‐free survival (RFS) in AIS patients. Methods Three hundred and twenty AIS patients were recruited, and plasma samples were collected within 24 hours after admission. lnc‐ITSN1‐2 expression form plasma was detected by reverse transcription‐quantitative polymerase chain reaction (RT‐qPCR). The National Institute of Health Stroke Scale (NIHSS) score was assessed, and RFS was calculated. Meanwhile, 320 controls were enrolled and plasma samples were collected on the enrollment, and lnc‐ITSN1‐2 expression was detected by RT‐qPCR. Results lnc‐ITSN1‐2 expression was increased in AIS patients compared to controls ( P  < .001), and receiver operating characteristic curve revealed its predictive value for AIS risk (area under the curve: 0.804, 95% confidence interval, 0.763‐0.845). In AIS patients, lnc‐ITSN1‐2 expression was positively correlated with NIHSS score ( r  = 0.464, P  < .001). For inflammation, lnc‐ITSN1‐2 expression was positively correlated with CRP ( r  = 0.398, P  < .001), TNF‐α ( r  = 0.502, P  < .001), IL‐1β ( r  = 0.313, P  < .001), IL‐6 ( r  = 0.207, P  < .001), IL‐8 ( r  = 0.400, P  < .001), IL‐17 ( r  = 0.272, P  < .001), and IL‐22 ( r  = 0.222, P  < .001). In terms of predicted target microRNAs, lnc‐ITSN1‐2 expression was negatively correlated with microRNA (miR)‐107 ( r  = −0.467, P  < .001), miR‐125a ( r  = −0.494, P  < .001), and miR‐146a ( r  = −0.126, P  = .025). For prognosis, high lnc‐ITSN1‐2 expression was correlated with worse RFS in AIS patients. Conclusion lnc‐ITSN1‐2 exerts a good predictive value for AIS risk; meanwhile, its increased expression is correlated with enhanced disease severity, elevated inflammation, and worse RFS in AIS patients.

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