Literature DB >> 27235360

MicroRNAs associated with the pathogenesis of multiple sclerosis.

Qingrong Huang1, Bo Xiao1, Xinting Ma1, Mingjuan Qu1, Yanmin Li1, Prakash Nagarkatti2, Mitzi Nagarkatti2, Juhua Zhou3.   

Abstract

Multiple sclerosis (MS) is not only an autoimmune disease in which autoreactive immune cells against myelin damage axons and nerves in the central nervous system, but also a neurodegenerative disease, in which progressive loss of structure and function of neurons occurs. The mechanisms of MS pathogenesis have not been fully understood. It has been reported that miRNAs may play a critical role in MS pathogenesis. In this review, we have extensively discussed the alterations in the expression of miRNAs detected in patients with MS. The dysregulated miRNAs have been shown to be associated with the pathogenesis of MS. We suggest that such dysregulated miRNAs may potentially be used as biomarkers in the diagnosis of MS, to discover new therapeutic targets for MS treatment, and to predict prognostic markers in responses to MS treatment.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diagnosis; MicroRNAs; Multiple sclerosis; Pathogenesis; Treatment

Mesh:

Substances:

Year:  2016        PMID: 27235360     DOI: 10.1016/j.jneuroim.2016.04.014

Source DB:  PubMed          Journal:  J Neuroimmunol        ISSN: 0165-5728            Impact factor:   3.478


  15 in total

1.  microRNA-761 induces aggressive phenotypes in triple-negative breast cancer cells by repressing TRIM29 expression.

Authors:  Guang-Cheng Guo; Jia-Xiang Wang; Ming-Li Han; Lian-Ping Zhang; Lin Li
Journal:  Cell Oncol (Dordr)       Date:  2017-01-04       Impact factor: 6.730

2.  Association Between Serum MicroRNAs and Magnetic Resonance Imaging Measures of Multiple Sclerosis Severity.

Authors:  Keren Regev; Brian C Healy; Fariha Khalid; Anu Paul; Renxin Chu; Shahamat Tauhid; Subhash Tummala; Camilo Diaz-Cruz; Radhika Raheja; Maria A Mazzola; Felipe von Glehn; Pia Kivisakk; Sheena L Dupuy; Gloria Kim; Tanuja Chitnis; Howard L Weiner; Roopali Gandhi; Rohit Bakshi
Journal:  JAMA Neurol       Date:  2017-03-01       Impact factor: 18.302

3.  MiR-142-3p regulates synaptopathy-driven disease progression in multiple sclerosis.

Authors:  Francesca De Vito; Alessandra Musella; Diego Fresegna; Francesca Romana Rizzo; Antonietta Gentile; Mario Stampanoni Bassi; Luana Gilio; Fabio Buttari; Claudio Procaccini; Alessandra Colamatteo; Silvia Bullitta; Livia Guadalupi; Silvia Caioli; Valentina Vanni; Sara Balletta; Krizia Sanna; Antonio Bruno; Ettore Dolcetti; Roberto Furlan; Annamaria Finardi; Valerio Licursi; Jelena Drulovic; Tatjana Pekmezovic; Clorinda Fusco; Sara Bruzzaniti; Eran Hornstein; Antonio Uccelli; Marco Salvetti; Giuseppe Matarese; Diego Centonze; Georgia Mandolesi
Journal:  Neuropathol Appl Neurobiol       Date:  2021-10-06       Impact factor: 6.250

4.  Analysis of MicroRNA-18a Expression in Multiple Sclerosis Patients.

Authors:  Atefeh Sohan Forooshan Moghadam; Mitra Ataei; Ghazaleh Arabzadeh; Kowsar Falahati; Fatemeh Roshani; Mohammad Hossein Sanati
Journal:  Rep Biochem Mol Biol       Date:  2020-01

Review 5.  A Personalized Approach in Progressive Multiple Sclerosis: The Current Status of Disease Modifying Therapies (DMTs) and Future Perspectives.

Authors:  Emanuele D'Amico; Francesco Patti; Aurora Zanghì; Mario Zappia
Journal:  Int J Mol Sci       Date:  2016-10-17       Impact factor: 5.923

6.  Circulating exosomes suppress the induction of regulatory T cells via let-7i in multiple sclerosis.

Authors:  Kimitoshi Kimura; Hirohiko Hohjoh; Masashi Fukuoka; Wakiro Sato; Shinji Oki; Chiharu Tomi; Hiromi Yamaguchi; Takayuki Kondo; Ryosuke Takahashi; Takashi Yamamura
Journal:  Nat Commun       Date:  2018-01-02       Impact factor: 14.919

7.  The Role for Exosomal microRNAs in Disruption of Regulatory T Cell Homeostasis in Multiple Sclerosis.

Authors:  Kimitoshi Kimura; Hirohiko Hohjoh; Takashi Yamamura
Journal:  J Exp Neurosci       Date:  2018-03-26

Review 8.  Noncoding RNAs in multiple sclerosis.

Authors:  Xuan Yang; Yuzhang Wu; Bei Zhang; Bing Ni
Journal:  Clin Epigenetics       Date:  2018-11-29       Impact factor: 6.551

Review 9.  Epstein-Barr Virus and miRNAs: Partners in Crime in the Pathogenesis of Multiple Sclerosis?

Authors:  Asma Hassani; Gulfaraz Khan
Journal:  Front Immunol       Date:  2019-04-03       Impact factor: 7.561

10.  Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy.

Authors:  Jörn Lötsch; Susanne Schiffmann; Katja Schmitz; Robert Brunkhorst; Florian Lerch; Nerea Ferreiros; Sabine Wicker; Irmgard Tegeder; Gerd Geisslinger; Alfred Ultsch
Journal:  Sci Rep       Date:  2018-10-05       Impact factor: 4.379

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