Evidence map›Paper›PMID 37643172›Full record

ArticlePloS one2023

Validation of reference gene stability for miRNA quantification by reverse transcription quantitative PCR in the peripheral blood of patients with COVID-19 critical illness.

Amanda Formosa, Erica Acton, Amy Lee, Paul Turgeon, Shehla Izhar, Pamela Plant, Jim N Tsoporis, Sabri Soussi, Uriel Trahtemberg, Andrew Baker and 1 more

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Amanda FormosaInterdepartmental Division of Critical Care Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.ORCID 0000-0003-3826-8865
Erica ActonThe Keenan Research Centre for Biomedical Sciences, Unity Health Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-8097-7203
Amy LeeMolecular Biology & Biochemistry Department, Simon Fraser University, Burnaby, British Columbia, Canada.
Paul TurgeonDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Shehla IzharThe Keenan Research Centre for Biomedical Sciences, Unity Health Toronto, Toronto, Ontario, Canada.
Pamela PlantThe Keenan Research Centre for Biomedical Sciences, Unity Health Toronto, Toronto, Ontario, Canada.
Jim N TsoporisThe Keenan Research Centre for Biomedical Sciences, Unity Health Toronto, Toronto, Ontario, Canada.
Sabri SoussiInterdepartmental Division of Critical Care Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Uriel TrahtembergThe Keenan Research Centre for Biomedical Sciences, Unity Health Toronto, Toronto, Ontario, Canada.
Andrew BakerInterdepartmental Division of Critical Care Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Claudia C Dos SantosInterdepartmental Division of Critical Care Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has created an urgency to study the host gene response that leads to variable clinical presentations of the disease, particularly the critical illness response. miRNAs have been implicated in the mechanism of host immune dysregulation and thus hold potential as biomarkers and/or therapeutic agents with clinical application. Hence, further analyses of their altered expression in COVID-19 is warranted. An important basis for this is identifying appropriate reference genes for high quality expression analysis studies. In the current report, NanoString technology was used to study the expression of 798 miRNAs in the peripheral blood of 24 critically ill patients, 12 had COVID-19 and 12 were COVID-19 negative. A list of potentially stable candidate reference genes was generated that included ten miRNAs. The top six were analyzed using reverse transcription quantitative polymerase chain reaction (RT-qPCR) in a total of 41 patients so as to apply standard computational algorithms for validating reference genes, namely geNorm, NormFinder, BestKeeper and RefFinder. There was general agreement among all four algorithms in the ranking of four stable miRNAs: miR-186-5p, miR-148b-3p, miR-194-5p and miR-448. A detailed analysis of their output rankings led to the conclusion that miR-186-5p and miR-148b-3p are appropriate reference genes for miRNA expression studies using PaxGene tubes in the peripheral blood of patients critically ill with COVID-19 disease.

Indexed as

COVID-19MicroRNAsCOVID-19 TestingCritical IllnessHumansPandemicsPolymerase Chain ReactionReverse TranscriptionMicroRNAsMIRN186 microRNA, humanMIRN448 microRNA, human

Identifiers

PMID37643172
PMCPMC10464995

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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.