Literature DB >> 28411393

Global exosome transcriptome profiling reveals biomarkers for multiple sclerosis.

Igor Selmaj1, Maria Cichalewska1, Magdalena Namiecinska1, Grazyna Galazka1, Wojciech Horzelski2, Krzysztof W Selmaj1, Marcin P Mycko1.   

Abstract

OBJECTIVE: Accumulating evidence supports a role for exosomes in immune regulation. In this study, we investigated the total circulating exosome transcriptome in relapsing-remitting multiple sclerosis (RRMS) patients and healthy controls (HC).
METHODS: Next generation sequencing (NGS) was used to define the global RNA profile of serum exosomes in 19 RRMS patients (9 in relapse, 10 in remission) and 10 HC. We analyzed 5 million reads and >50,000 transcripts per sample, including a detailed analysis of microRNAs (miRNAs) differentially expressed in RRMS. The discovery set data were validated by quantification using digital quantitative polymerase chain reaction with an independent cohort of 63 RRMS patients (33 in relapse, 30 in remission) and 32 HC.
RESULTS: Exosomal RNA NGS revealed that of 15 different classes of transcripts detected, 4 circulating exosomal sequences within the miRNA category were differentially expressed in RRMS patients versus HC: hsa-miR-122-5p, hsa-miR-196b-5p, hsa-miR-301a-3p, and hsa-miR-532-5p. Serum exosomal expression of these miRNAs was significantly decreased during relapse in RRMS. These miRNAs were also decreased in patients with a gadolinium enhancement on brain magnetic resonance imaging. In vitro secretion of these miRNAs by peripheral blood mononuclear cells was also significantly impaired in RRMS.
INTERPRETATION: These data show that circulating exosomes have a distinct RNA profile in RRMS. Because putative targets for these miRNAs include the signal transducer and activator of transcription 3 and the cell cycle regulator aryl hydrocarbon receptor, the data suggest a disturbed cell-to-cell communication in this disease. Thus, exosomal miRNAs might represent a useful biomarker to distinguish multiple sclerosis relapse. Ann Neurol 2017;81:703-717.
© 2017 American Neurological Association.

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Year:  2017        PMID: 28411393     DOI: 10.1002/ana.24931

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  54 in total

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Review 5.  Genomic, proteomic, and systems biology approaches in biomarker discovery for multiple sclerosis.

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Authors:  May F Mrad; Esber S Saba; Layane Nakib; Samia J Khoury
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2021-05-18

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

Authors:  Anna E Zurawska; Marcin P Mycko; Igor Selmaj; Cedric S Raine; Krzysztof W Selmaj
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2021-08-12
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