Circulating Exosomal LncRNAs as Novel Diagnostic Predictors of Severity and Sites of White Matter Hyperintensities.

Xiang XU; Yu Sun; Shuai Zhang; Qi Xiao; Xiao Yan Zhu; Ai Jun MA; Xu Dong Pan

Return

Circulating Exosomal LncRNAs as Novel Diagnostic Predictors of Severity and Sites of White Matter Hyperintensities.

Author: Xiang XU ^{1
,

2} ; Yu SUN ³ ; Shuai ZHANG ⁴ ; Qi XIAO ³ ; Xiao Yan ZHU ⁵ ; Ai Jun MA ³ ; Xu Dong PAN ³
Author Information

1. Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China
2. Department of Neurology, Qingdao Central Hospital, Qingdao 266000, Shandong, China.
3. Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
4. Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong, China.
5. Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
Publication Type:Journal Article
Keywords: Diagnostic performance; Exosome; Long noncoding RNA (lncRNA); RNA sequencing; White matter hyperintensities (WMH)
MeSH: Humans; RNA, Long Noncoding/genetics*; White Matter; Area Under Curve; Exosomes/genetics*; High-Throughput Nucleotide Sequencing
From: Biomedical and Environmental Sciences 2023;36(12):1136-1151
CountryChina
Language:English
Abstract: OBJECTIVE:Exosomal long noncoding RNAs (lncRNAs) are the key to diagnosing and treating various diseases. This study aimed to investigate the diagnostic value of plasma exosomal lncRNAs in white matter hyperintensities (WMH).
METHODS:We used high-throughput sequencing to determine the differential expression (DE) profiles of lncRNAs in plasma exosomes from WMH patients and controls. The sequencing results were verified in a validation cohort using qRT-PCR. The diagnostic potential of candidate exosomal lncRNAs was proven by binary logistic analysis and receiver operating characteristic (ROC) curves. The diagnostic value of DE exo-lncRNAs 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-lncRNAs in the subgroup was evaluated.
RESULTS:In our results, four DE exo-lncRNAs were identified, and ROC curve analysis revealed that exo-lnc_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 hyperintensities.
CONCLUSION:Plasma exosomal lncRNAs have potential diagnostic value in WMH. Moreover, exo-lnc_011797 is considered to be a predictor of the severity and location of WMH.