Circulating microRNAs as biomarkers in traumatic brain injury.


Journal

Neuropharmacology
ISSN: 1873-7064
Titre abrégé: Neuropharmacology
Pays: England
ID NLM: 0236217

Informations de publication

Date de publication:
02 2019
Historique:
received: 07 04 2018
revised: 13 08 2018
accepted: 23 08 2018
pubmed: 10 9 2018
medline: 23 1 2019
entrez: 10 9 2018
Statut: ppublish

Résumé

Preclinical and clinical studies can be greatly improved through the inclusion of diagnostic, prognostic, predictive or pharmacodynamics biomarkers. Circulating microRNAs (miRNAs) represent highly stable targets that respond to physiological and pathological changes. MicroRNA biomarkers can be detected by highly sensitive and absolutely quantitative methods currently available in most clinical laboratories. Here we review preclinical and clinical studies that have examined circulating miRNAs as potential diagnostic and prognostic biomarkers. We also present data that suggests pharmacodynamics biomarkers can be identified that are associated with neuroprotection in general. Although circulating miRNA can serve as useful tools, it is clear their expression profiles are highly sensitive to changing conditions and are influenced by a broad range of parameters including age, sex, body mass index, injury severity, time of collection, as well as methods of processing, purification and detection. Thus, considerable effort will be required to standardize methods and experimental design conditions before circulating miRNAs can prove useful in a heterologous injury like TBI. This article is part of the Special Issue entitled "Novel Treatments for Traumatic Brain Injury".

Identifiants

pubmed: 30195586
pii: S0028-3908(18)30567-7
doi: 10.1016/j.neuropharm.2018.08.028
pii:
doi:

Substances chimiques

Biomarkers 0
Circulating MicroRNA 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

199-208

Informations de copyright

Published by Elsevier Ltd.

Auteurs

Kathryn Toffolo (K)

Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA.

Jennifer Osei (J)

Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA.

William Kelly (W)

Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA.

Austin Poulsen (A)

Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA.

Kaitlynn Donahue (K)

Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA.

Jiefei Wang (J)

Department of Biostatistics, University at Buffalo, Buffalo, NY, USA.

Madison Hunter (M)

Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA.

Jonathan Bard (J)

New York State Center for Bioinformatics and Life Sciences, Buffalo, NY, USA.

Jianxin Wang (J)

New York State Center for Bioinformatics and Life Sciences, Buffalo, NY, USA.

David Poulsen (D)

Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA. Electronic address: davidpou@buffalo.edu.

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Classifications MeSH