Evidence map›Paper›PMID 33114169›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Identification of Circulating miR-22-3p and miR-93-5p as Stable Endogenous Control in Tuberculosis Study.

Workneh Korma, Adane Mihret, Azeb Tarekegn, Yunhee Chang, Dasom Hwang, Tesfaye Sisay Tessema, Hyeyoung Lee

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 33% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Roles of Exosomes in Chronic Rhinosinusitis: A Systematic Review.International journal of molecular sciences · 2022
    Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Circulating microRNAs: Challenges with their use as liquid biopsy biomarkers.Cancer biomarkers : section A of Disease markers · 2022
    Review
  14. Article
  15. Article
  16. 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

7 authors at 3 institutions in 2 countries.

Workneh KormaMolecular diagnostic laboratory, Department of Medical Laboratory Sciences, Yonsei University, Wonju 26493, Korea.ORCID 0000-0002-5011-4984
Adane MihretArmauer Hansen Research Institute, Addis Ababa 1005, Ethiopia.
Azeb TarekegnArmauer Hansen Research Institute, Addis Ababa 1005, Ethiopia.
Yunhee ChangMolecular diagnostic laboratory, Department of Medical Laboratory Sciences, Yonsei University, Wonju 26493, Korea.
Dasom HwangMolecular diagnostic laboratory, Department of Medical Laboratory Sciences, Yonsei University, Wonju 26493, Korea.
Tesfaye Sisay TessemaInstitute of Biotechnology, Addis Ababa University, Addis Ababa 1176, Ethiopia.ORCID 0000-0002-4103-5029
Hyeyoung LeeMolecular diagnostic laboratory, Department of Medical Laboratory Sciences, Yonsei University, Wonju 26493, Korea.
Yonsei University · KRArmauer Hansen Research Institute · ETAddis Ababa University · ET

Funding

Ethiopia-Emory TB Research Training ProgramD43TW009127 · FIC · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Kidist Bobosha · 2013 to 2026
$3.4M
FIC NIH HHS D43 TW009127National Research Foundation, Joint research program, Republic of Korea NFR-2017K2A9A1A01092944)
6 · The paper itself

Abstract

The diagnosis and prognosis of tuberculosis remains challenging and necessitates the development of a new test that can accurately diagnose and monitor treatment responses. In this regard, miRNA is becoming a potential diagnostic and prognostic biomarker which differentiates treatment respondents from non-respondents for various non-infectious and infectious diseases, including tuberculosis. The concentration of miRNAs varies based on cell type, disease, and site of infection, implicating that selection of an optimal reference gene is crucial, and determines the quantification of transcript level and biological interpretation of the data. Thus, the study evaluated the stability and expression level of five candidate miRNAs (let-7i-5p, let-7a-5p, miRNA-16-5p, miRNA-22-3p and miRNA-93-5p), including U6 Small Nuclear RNA (RNU6B) to normalize circulating miRNAs in the plasma of 68 participants (26 healthy controls, 23 latent, and 19 pulmonary tuberculosis infected) recruited from four health centers and three hospitals in Addis Ababa, Ethiopia. The expression levels of miRNAs isolated from plasma of culture confirmed newly diagnosed pulmonary tuberculosis patients were compared with latently infected and non-infected healthy controls. The qPCR data were analyzed using four independent statistical tools: Best Keeper, Genorm, Normfinder and comparative delta-Ct methods, and the data showed that miRNA-22-3p and miRNA-93-5p were suitable plasma reference miRNAs in a tuberculosis study.

Indexed as

circulating miRNAendogenous controlsmiRNAmiRNA-93-5pqPCR (quantitative polymerase chain reaction), miRNA-22-3preference miRNAstuberculosis

Identifiers

PMID33114169
PMCPMC7690830
OpenAlexW3093970175

What OpenQuestion 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 OpenQuestion graph.