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Circulating Exosomal LncRNAs as Novel Diagnostic Predictors of Severity and Sites of White Matter Hyperintensities.
Xu, Xiang; Sun, Yu; Zhang, Shuai; Xiao, Qi; Zhu, Xiao Yan; Ma, Ai Jun; Pan, Xu Dong.
Afiliação
  • Xu X; Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China;Department of Neurology, Qingdao Central Hospital, Qingdao 266000, Shandong, China.
  • Sun Y; Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
  • Zhang S; Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong, China.
  • Xiao Q; Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
  • Zhu XY; Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
  • Ma AJ; Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
  • Pan XD; Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China.
Biomed Environ Sci ; 36(12): 1136-1151, 2023 Dec 20.
Article em En | MEDLINE | ID: mdl-38199225
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exossomos / RNA Longo não Codificante / Substância Branca Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exossomos / RNA Longo não Codificante / Substância Branca Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article