Integrative analysis of OIP5-AS1/HUR1 to discover new potential biomarkers and therapeutic targets in multiple sclerosis

J Cell Physiol. 2019 Aug;234(10):17351-17360. doi: 10.1002/jcp.28355. Epub 2019 Feb 27.

Abstract

Multiple sclerosis (MS) is a devastating autoimmune disease of the central nervous system associated with demyelination and axonal injury. This study was designed to find potential lncRNAs and their targets that are associated with the molecular basis of MS pathogenesis. In this study, peripheral blood samples were obtained from 50 relapsing-remitting MS (RR-MS) patients and 50 healthy controls. lncRNAs and their target were selected for validation using TaqMan Real-Time PCR. Interactions were studied based on approaches that used to investigation biological functions and signaling pathways affected by differentially expressed messenger RNAs (mRNAs). The results of this study indicate an increase in the expression of HUR1 (p = 0.0001), CPSF7 (p = 0.02), and reduction of CSTF2 expression (p = 0.04). Also, an increase in the expression of OIP5-AS1 (p = 0.01) was observed in men less than 30 years old. We performed a comparative analysis of the long noncoding RNAs (lncRNAs), and then we ranked them as candidate biomarkers according to a decreasing area under the receiver operating characteristic (ROC) curve (AUC) and plotted the results. Dysregulation of lncRNA expression has been linked to diseases. Further studies on the HUR1 gene can be used as diagnostic tools for the identification of high-risk individuals in families with a history of disease before, during, and even after treatment. Our data uncovered the expression profiles of lncRNAs and mRNAs in MS patients, which will help delineate the molecular mechanisms in MS pathogenesis. However, further studies need to determine the precise role of these genes in the pathological process in MS.

Keywords: HUR1; OIP5-AS1; long noncoding RNA; multiple sclerosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Biomarkers / blood*
  • Case-Control Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multiple Sclerosis / genetics
  • Multiple Sclerosis / metabolism*
  • Multiple Sclerosis, Relapsing-Remitting / genetics*
  • RNA, Long Noncoding / genetics*
  • RNA, Messenger / metabolism
  • ROC Curve
  • Real-Time Polymerase Chain Reaction / methods

Substances

  • Biomarkers
  • RNA, Long Noncoding
  • RNA, Messenger