Evidence map›Paper›PMID 35381016›Full record

ArticlePloS one2022

Detection of SARS-CoV-2 infection by microRNA profiling of the upper respiratory tract.

Ryan J Farr, Christina L Rootes, John Stenos, Chwan Hong Foo, Christopher Cowled, Cameron R Stewart

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Association of plasma microRNAs with COVID-19 severity and outcome.Journal, genetic engineering & biotechnology · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Ryan J FarrCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, Victoria, Australia.
Christina L RootesCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, Victoria, Australia.
John StenosAustralian Rickettsial Reference Laboratory, University Hospital Geelong, Geelong Victoria, Australia.
Chwan Hong FooExios Bio LLC, Conshohocken, Pennsylvania, United States of America.
Christopher CowledCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, Victoria, Australia.
Cameron R StewartCSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, Victoria, Australia.ORCID 0000-0002-3395-7859
Australian Centre for Disease Preparedness · AUGeelong Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Host biomarkers are increasingly being considered as tools for improved COVID-19 detection and prognosis. We recently profiled circulating host-encoded microRNA (miRNAs) during SARS-CoV-2 infection, revealing a signature that classified COVID-19 cases with 99.9% accuracy. Here we sought to develop a signature suited for clinical application by analyzing specimens collected using minimally invasive procedures. Eight miRNAs displayed altered expression in anterior nasal tissues from COVID-19 patients, with miR-142-3p, a negative regulator of interleukin-6 (IL-6) production, the most strongly upregulated. Supervised machine learning analysis revealed that a three-miRNA signature (miR-30c-2-3p, miR-628-3p and miR-93-5p) independently classifies COVID-19 cases with 100% accuracy. This study further defines the host miRNA response to SARS-CoV-2 infection and identifies candidate biomarkers for improved COVID-19 detection.

Indexed as

COVID-19MicroRNAsBiomarkersGene Expression ProfilingHumansRespiratory SystemSARS-CoV-2BiomarkersMicroRNAsMIRN628 microRNA, human

Identifiers

PMID35381016
PMCPMC8982876
OpenAlexW4225835056

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.