Circulating Exosomal Lnc RNAs as Novel Diagnostic Predictors of Severity and Sites of White Matter Hyperintensities
作者机构:Department of NeurologyThe Afiliated Hospital of Qingdao UniversityQingdao 266000ShandongChina Department of NeurologyQingdao Central HospitalQingdao 266000ShandongChina Department of Critical Care MedicineShandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinan 250000ShandongChina Department of Critical Care MedicineThe Affiliated Hospital of Qingdao UniversityQingdao 266000ShandongChina
出 版 物:《Biomedical and Environmental Sciences》 (生物医学与环境科学(英文版))
年 卷 期:2023年第36卷第12期
页 面:1136-1151页
核心收录:
学科分类:1002[医学-临床医学] 100204[医学-神经病学] 10[医学]
主 题:Exosome Long noncoding RNA(lnc RNA) White matter hyperintensities(WMH) RNA sequencing Diagnostic performance
摘 要:Objective Exosomal long noncoding RNAs(lnc RNAs) are the key to diagnosing and treating various diseases. This study aimed to investigate the diagnostic value of plasma exosomal lnc RNAs in white matter hyperintensities(WMH).Methods We used high-throughput sequencing to determine the differential expression(DE) profiles of lnc RNAs in plasma exosomes from WMH patients and controls. The sequencing results were verified in a validation cohort using q RT-PCR. The diagnostic potential of candidate exosomal lnc RNAs was proven by binary logistic analysis and receiver operating characteristic(ROC) curves. The diagnostic value of DE exo-lnc RNAs was determined by the area under the curve(AUC). The WMH group was then divided into subgroups according to the Fazekas scale and white matter lesion site, and the correlation of DE exo-lnc RNAs in the subgroup was *** In our results, four DE exo-lnc RNAs were identified, and ROC curve analysis revealed that exolnc_011797 and exo-lnc_004326 exhibited diagnostic efficacy for WMH. Furthermore, WMH subgroup analysis showed exo-lnc_011797 expression was significantly increased in Fazekas 3 patients and was significantly elevated in patients with paraventricular matter *** Plasma exosomal lnc RNAs have potential diagnostic value in WMH. Moreover, exolnc_011797 is considered to be a predictor of the severity and location of WMH.