Evidence map›Paper›PMID 34188917›Full record

ArticleClinical & translational immunology2021

High sensitivity and specificity of a 5-analyte protein and microRNA biosignature for identification of active tuberculosis.

Jessica L Pedersen, Simone E Barry, Nilesh J Bokil, Magda Ellis, YuRong Yang, Guangyu Guan, Xiaolin Wang, Alen Faiz, Warwick J Britton, Bernadette M Saunders

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 2021. 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
0.5field-weighted citation impact, top 34% 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, 11 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 4 institutions in 2 countries.

Jessica L PedersenSchool of Life Sciences, Faculty of Science University of Technology Sydney Sydney NSW Australia.ORCID https://orcid.org/0000-0001-8427-9325
Simone E BarryCentenary Institute The University of Sydney Sydney NSW Australia.
Nilesh J BokilSchool of Life Sciences, Faculty of Science University of Technology Sydney Sydney NSW Australia.
Magda EllisCentenary Institute The University of Sydney Sydney NSW Australia.
YuRong YangPathogen Biology and Medical Immunological Department Ningxia Medical University Yinchuan China.
Guangyu GuanInfectious Disease Hospital of Ningxia Yinchuan China.
Xiaolin WangPathogen Biology and Medical Immunological Department Ningxia Medical University Yinchuan China.
Alen FaizSchool of Life Sciences, Faculty of Science University of Technology Sydney Sydney NSW Australia.
Warwick J BrittonCentenary Institute The University of Sydney Sydney NSW Australia.
Bernadette M SaundersSchool of Life Sciences, Faculty of Science University of Technology Sydney Sydney NSW Australia.ORCID https://orcid.org/0000-0003-0540-4445
University of Technology Sydney · AUThe University of Sydney · AUNingxia Medical University · CNNingxia Hui Autonomous Region Peoples Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNon-sputum-based tests to accurately identify active tuberculosis (TB) disease and monitor response to therapy are urgently needed. This study examined the biomarker capacity of a panel of plasma proteins alone, and in conjunction with a previously identified miRNA signature, to identify active TB disease.

methodsThe expression of nine proteins (IP-10, MCP-1, sTNFR1, RANTES, VEGF, IL-6, IL-10, TNF and Eotaxin) was measured in the plasma of 100 control subjects and 100 TB patients, at diagnosis (treatment naïve) and over the course of treatment (1-, 2- and 6-month intervals). The diagnostic performance of the nine proteins alone, and with the miRNA, was assessed.

resultsSix proteins were significantly up-regulated in the plasma of TB patients at diagnosis compared to controls. Receiver operator characteristic curve analysis demonstrated that IP-10 with an AUC = 0.874, sensitivity of 75% and specificity of 87% was the best single biomarker candidate to distinguish TB patients from controls. IP-10 and IL-6 levels fell significantly within one month of commencing treatment and may have potential as indicators of a positive response to therapy. The combined protein and miRNA panel gave an AUC of 1.00. A smaller panel of only five analytes (IP-10, miR-29a, miR-146a, miR-99b and miR-221) showed an AUC = 0.995, sensitivity of 96% and specificity of 97%.

conclusionsA novel combination of miRNA and proteins significantly improves the sensitivity and specificity as a biosignature over single biomarker candidates and may be useful for the development of a non-sputum test to aid the diagnosis of active TB disease.

Indexed as

diagnosismicroRNAplasma biomarkersproteinstuberculosis

Identifiers

PMID34188917
PMCPMC8219900
OpenAlexW3176225743

What OpenQuestion holds

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LicenceCC BY-NC
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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.