Bioinformatic analysis of brain-specific miRNAs for identification of candidate traumatic brain injury blood biomarkers.


Journal

Brain injury
ISSN: 1362-301X
Titre abrégé: Brain Inj
Pays: England
ID NLM: 8710358

Informations de publication

Date de publication:
06 06 2020
Historique:
pubmed: 5 6 2020
medline: 29 7 2021
entrez: 5 6 2020
Statut: ppublish

Résumé

Detection of brain-specific miRNAs in the peripheral blood could serve as a surrogate marker of traumatic brain injury (TBI). Here, we systematically identified brain-enriched miRNAs, and tested their utility as TBI biomarkers in the acute phase of care. Publically available microarray data generated from 29 postmortem human tissues were used to rank 1,364 miRNAs in terms of their degree of brain-specific expression. Levels of the top six ranked miRNAs were then prospectively measured in serum samples collected from 10 Patients with TBI at hospital admission, as well as from 10 controls. The top six miRNAs identified in our analysis (miR-124-3p, miR-219a-5p, miR-9-5p, miR-9-3p, miR-137, and miR-128-3p) were enriched 70 to 320-fold in brain relative to other tissues, and exhibited dramatically greater brain specificity compared to several miRNAs previously proposed as biomarkers. Furthermore, their levels were elevated in serum from patients with TBI compared to controls, and could collectively discriminate between groups with 90% sensitivity and 100% specificity. Interestingly, subsequent informatic pathway analysis revealed that their target transcripts were enriched for components of signaling pathways active in peripheral organs involved in common post-TBI complications. The six candidate miRNAs identified in this preliminary study have promise as blood biomarkers of TBI, and could also be molecular contributors to systemic physiologic changes commonly observed post-injury.

Sections du résumé

BACKGROUND
Detection of brain-specific miRNAs in the peripheral blood could serve as a surrogate marker of traumatic brain injury (TBI). Here, we systematically identified brain-enriched miRNAs, and tested their utility as TBI biomarkers in the acute phase of care.
METHODS
Publically available microarray data generated from 29 postmortem human tissues were used to rank 1,364 miRNAs in terms of their degree of brain-specific expression. Levels of the top six ranked miRNAs were then prospectively measured in serum samples collected from 10 Patients with TBI at hospital admission, as well as from 10 controls.
RESULTS
The top six miRNAs identified in our analysis (miR-124-3p, miR-219a-5p, miR-9-5p, miR-9-3p, miR-137, and miR-128-3p) were enriched 70 to 320-fold in brain relative to other tissues, and exhibited dramatically greater brain specificity compared to several miRNAs previously proposed as biomarkers. Furthermore, their levels were elevated in serum from patients with TBI compared to controls, and could collectively discriminate between groups with 90% sensitivity and 100% specificity. Interestingly, subsequent informatic pathway analysis revealed that their target transcripts were enriched for components of signaling pathways active in peripheral organs involved in common post-TBI complications.
CONCLUSIONS
The six candidate miRNAs identified in this preliminary study have promise as blood biomarkers of TBI, and could also be molecular contributors to systemic physiologic changes commonly observed post-injury.

Identifiants

pubmed: 32497449
doi: 10.1080/02699052.2020.1764102
doi:

Substances chimiques

Biomarkers 0
MicroRNAs 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

965-974

Subventions

Organisme : NINR NIH HHS
ID : P30 NR015326
Pays : United States

Auteurs

Grant C O'Connell (GC)

Frances Payne Bolton School of Nursing, Case Western Reserve University , Cleveland, Ohio, USA.

Christine G Smothers (CG)

Frances Payne Bolton School of Nursing, Case Western Reserve University , Cleveland, Ohio, USA.

Chris Winkelman (C)

Frances Payne Bolton School of Nursing, Case Western Reserve University , Cleveland, Ohio, USA.

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Classifications MeSH