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Updated: Oct 24, 2025

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Multiple Sclerosis: circRNA Profile Defined Reveals Links to B-Cell Function.

Anna E Zurawska1, Marcin P Mycko1, Igor Selmaj2

  • 1From the Department of Neurology (A.E.Z., M.P.M., K.W.S.), University of Warmia and Mazury, Olsztyn; Center for Neurology (I.S., K.W.S.), Lodz; and Albert Einstein College of Medicine (C.S.R.), Department of Pathology (Neuropathology), Bronx, NY.

Neurology(R) Neuroimmunology & Neuroinflammation
|August 13, 2021
PubMed
Summary
This summary is machine-generated.

Circular RNAs (circRNAs) show a distinct profile in relapsing-remitting multiple sclerosis (RRMS). These findings suggest circRNAs may play a role in B-cell activity and serve as biomarkers for monitoring RRMS relapse.

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Area of Science:

  • Genomics
  • Immunology
  • Biomarker Discovery

Background:

  • Relapsing-remitting multiple sclerosis (RRMS) is an autoimmune disease characterized by neurological damage.
  • Understanding the molecular mechanisms underlying RRMS, particularly during relapse, is crucial for effective management.
  • Circular RNAs (circRNAs) are emerging as key regulators in various biological processes and diseases.

Purpose of the Study:

  • To investigate the comprehensive circular RNA (circRNA) profile in patients with relapsing-remitting multiple sclerosis (RRMS).
  • To identify potential circRNA biomarkers associated with disease activity and relapse in RRMS.
  • To explore the relationship between circRNAs, microRNAs, and protein-coding RNAs in RRMS pathogenesis.

Main Methods:

  • Hybridization microarray analysis of circRNA expression in peripheral blood mononuclear cells (PBMCs) from RRMS patients and healthy controls (HCs).
  • Quantitative reverse transcription-PCR (qRT-PCR) for validation of differentially expressed circRNAs in an independent cohort.
  • Bioinformatic analysis to predict microRNA interactions and identify associated protein-coding RNAs.

Main Results:

  • Microarray analysis identified 914 differentially expressed circRNAs between RRMS patients in relapse and HCs.
  • Three specific circRNAs (hsa_circRNA_101348, hsa_circRNA_102611, hsa_circRNA_104361) were significantly upregulated during RRMS relapse and associated with MRI-detected disease activity.
  • Bioinformatic analysis revealed interactions with microRNAs and identified upregulated protein-coding RNAs (e.g., AK2, IKZF3) implicated in B-cell function.

Conclusions:

  • Circular RNAs exhibit a distinct expression profile in PBMCs of RRMS patients.
  • The identified circRNAs may be involved in the aberrant B-cell activity observed in RRMS.
  • These circRNAs represent potential novel biomarkers for monitoring relapse activity in RRMS.