Evidence map›Paper›PMID 35250259›Full record

ArticleBiomarker insights2022

Decrease in Plasma miR-27a and miR-221 After Concussion in Australian Football Players.

Sandy R Shultz, Caroline J Taylor, Riemke Aggio-Bruce, William T O'Brien, Mujun Sun, Adrian V Cioanca, George Neocleous, Georgia F Symons, Rhys D Brady, Anandwardhan A Hardikar and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomarker insights, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
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  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 1 country.

Sandy R ShultzDepartment of Neuroscience, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-2525-8775
Caroline J TaylorDepartment of Physiology, Anatomy, and Microbiology, La Trobe University, Melbourne, VIC, Australia.
Riemke Aggio-BruceThe John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia.
William T O'BrienDepartment of Neuroscience, Monash University, Melbourne, VIC, Australia.
Mujun SunDepartment of Neuroscience, Monash University, Melbourne, VIC, Australia.
Adrian V CioancaThe John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia.
George NeocleousDepartment of Physiology, Anatomy, and Microbiology, La Trobe University, Melbourne, VIC, Australia.
Georgia F SymonsDepartment of Neuroscience, Monash University, Melbourne, VIC, Australia.
Rhys D BradyDepartment of Neuroscience, Monash University, Melbourne, VIC, Australia.
Anandwardhan A HardikarSchool of Medicine, Western Sydney University, Campbelltown, NSW, Australia.
Mugdha V JoglekarSchool of Medicine, Western Sydney University, Campbelltown, NSW, Australia.
Daniel M CostelloDepartment of Medicine, The University of Melbourne, Parkville, VIC, Australia.
Terence J O'BrienDepartment of Neuroscience, Monash University, Melbourne, VIC, Australia.ORCID https://orcid.org/0000-0002-7198-8621
Riccardo NatoliThe John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia.
Stuart J McDonaldDepartment of Neuroscience, Monash University, Melbourne, VIC, Australia.
Australian National University · AUMonash University · AULa Trobe University · AUCamden and Campbelltown Hospitals · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSports-related concussion (SRC) is a common form of brain injury that lacks reliable methods to guide clinical decisions. MicroRNAs (miRNAs) can influence biological processes involved in SRC, and measurement of miRNAs in biological fluids may provide objective diagnostic and return to play/recovery biomarkers. Therefore, this prospective study investigated the temporal profile of circulating miRNA levels in concussed male and female athletes.

methodsPre-season baseline blood samples were collected from amateur Australian rules football players (82 males, 45 females). Of these, 20 males and 8 females sustained an SRC during the subsequent season and underwent blood sampling at 2-, 6- and 13-days post-injury. A miRNA discovery Open Array was conducted on plasma to assess the expression of 754 known/validated miRNAs. miRNA target identified were further investigated with quantitative real-time PCR (qRT-PCR) in a validation study. Data pertaining to SRC symptoms, demographics, sporting history, education history and concussion history were also collected.

resultsDiscovery analysis identified 18 candidate miRNA. The consequent validation study found that plasma miR-221-3p levels were decreased at 6d and 13d, and that miR-27a-3p levels were decreased at 6d, when compared to baseline. Moreover, miR-27a and miR-221-3p levels were inversely correlated with SRC symptom severity.

conclusionCirculating levels of miR-27a-3p and miR-221-3p were decreased in the sub-acute stages after SRC, and were inversely correlated with SRC symptom severity. Although further studies are required, these analyses have identified miRNA biomarker candidates of SRC severity and recovery that may one day assist in its clinical management.

Indexed as

biomarkerinflammationmild traumatic brain injurypathophysiologyTraumatic brain injuryvascular injury

Identifiers

PMID35250259
PMCPMC8891921
OpenAlexW4214696755

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.