4.6 Article

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

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LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1212/NXI.0000000000001041

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Funding

  1. National Science Centre Poland [PRELUDIUM 2015/17/N/NZ6/03504, OPUS 2016/23/B/NZ6/02541]
  2. CEE Merck grant
  3. University of Warmia and Mazury in Olsztyn

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This study investigated the circRNA profile in RRMS patients and healthy controls, finding differential expression of circRNAs between patients in relapse and healthy controls. Some circRNAs were significantly upregulated during relapse and implicated in B-cell activity, potentially serving as a novel biomarker for monitoring RRMS relapse activity.
Background and Objectives To investigate the total circular RNA (circRNA) profile in patients with relapsing-remitting multiple sclerosis (RRMS) and healthy controls (HCs). Methods Hybridization microarray was used to define the circRNA profile in peripheral blood mononuclear cells (PBMCs) from 20 untreated patients with RRMS (10 in relapse and 10 in remission) and 10 HCs. We analyzed close to 14,000 individual circRNAs per sample. The discovery set data were validated using quantitative reverse transcription-PCR with an independent cohort of 47 patients with RRMS (19 in relapse and 28 in remission) and 27 HCs. Results Microarray analysis revealed 914 transcripts to be differentially expressed between patients with RRMS in relapse and HCs (p < 0.05). We validated 3 circRNAs from 5 showing highest levels of differential expression in the RRMS relapse vs HC group: hsa_circRNA_101348, hsa_circRNA_102611, and hsa_circRNA_104361. Their expression was significantly increased during relapse in RRMS (p = 0.0002, FC = 2.9; p = 0.01, FC = 1.6; and p = 0.001, FC = 1.5, respectively) and in patients showing gadolinium enhancement on brain MRI (hsa_circRNA_101348, p = 0.0039, FC = 2.4; hsa_circRNA_104361, p = 0.029, FC = 1.7). Bioinformatic analysis revealed 15 microRNAs interacting with these circRNAs in a complementary manner and led to the discovery and validation of 3 protein-coding RNAs upregulated in patients with RRMS during relapse. Two of these, AK2 and IKZF3, have previously been implicated in B-cell function. Discussion circRNAs display a distinct profile in PBMCs from patients with RRMS, and our results may implicate circRNA in the known disturbed B-cell activity in RRMS and thus represent a novel biomarker for monitoring relapse activity.

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