Evidence map›Paper›PMID 32582115›Full record

ReviewFrontiers in microbiology2020

MicroRNA Biomarkers for Infectious Diseases: From Basic Research to Biosensing.

Leon Tribolet, Emily Kerr, Christopher Cowled, Andrew G D Bean, Cameron R Stewart, Megan Dearnley, Ryan J Farr

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 6 pooled it
11.9field-weighted citation impact, top 1% 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

116 citing papers in PubMed, 6 syntheses or guidelines pooled it, 218 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients.Translational research : the journal of laboratory and clinical medicine · 2021
    Trial
  8. Article
  9. Review
  10. Article
  11. Review
  12. MicroRNAs in sepsis: Advances in diagnosis and prognostic monitoring.World journal of critical care medicine · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

56 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 1 country.

Leon TriboletHealth and Biosecurity, Australian Animal Health Laboratory, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Geelong, VIC, Australia.
Emily KerrInstitute for Frontier Materials, Deakin University, Geelong, VIC, Australia.
Christopher CowledHealth and Biosecurity, Australian Animal Health Laboratory, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Geelong, VIC, Australia.
Andrew G D BeanHealth and Biosecurity, Australian Animal Health Laboratory, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Geelong, VIC, Australia.
Cameron R StewartHealth and Biosecurity, Australian Animal Health Laboratory, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Geelong, VIC, Australia.
Megan DearnleyDiagnostics, Surveillance and Response (DSR), Australian Animal Health Laboratory, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Geelong, VIC, Australia.
Ryan J FarrDiagnostics, Surveillance and Response (DSR), Australian Animal Health Laboratory, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Geelong, VIC, Australia.
Australian Centre for Disease Preparedness · AUCommonwealth Scientific and Industrial Research Organisation · AUDeakin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the pursuit of improved diagnostic tests for infectious diseases, several classes of molecules have been scrutinized as prospective biomarkers. Small (18-22 nucleotide), non-coding RNA transcripts called microRNAs (miRNAs) have emerged as promising candidates with extensive diagnostic potential, due to their role in numerous diseases, previously established methods for quantitation and their stability within biofluids. Despite efforts to identify, characterize and apply miRNA signatures as diagnostic markers in a range of non-infectious diseases, their application in infectious disease has advanced relatively slowly. Here, we outline the benefits that miRNA biomarkers offer to the diagnosis, management, and treatment of infectious diseases. Investigation of these novel biomarkers could advance the use of personalized medicine in infectious disease treatment, which raises important considerations for validating their use as diagnostic or prognostic markers. Finally, we discuss new and emerging miRNA detection platforms, with a focus on rapid, point-of-care testing, to evaluate the benefits and obstacles of miRNA biomarkers for infectious disease.

Indexed as

biomarkersdiagnosticsinfectious diseasemicroRNAspersonalized medicine

Identifiers

PMID32582115
PMCPMC7286131
OpenAlexW3033941268

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.