Evidence map›Paper›PMID 38972907›Full record

ArticleScientific reports2024

Suppression of host gene expression is associated with latent TB infection: a possible diagnostic biomarker.

Ritah Nakiboneka, Nicolò Margaritella, Tonney Nyirenda, David Chaima, Natasha Walbaum, Emmanuel Musisi, Sikwese Tionge, Takondwa Msosa, Marriott Nliwasa, Chisomo L Msefula and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

12 authors.

Ritah NakibonekaDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
Nicolò MargaritellaSchool of Mathematics and Statistics, University of St Andrews, St Andrews, UK.
Tonney NyirendaDepartment of Pathology, Kamuzu University of Health Sciences, Blantyre, Malawi.
David ChaimaDepartment of Pathology, Kamuzu University of Health Sciences, Blantyre, Malawi.
Natasha WalbaumDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
Emmanuel MusisiDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
Sikwese TiongePathology Department, Helse Nord Tuberculosis Initiative (HNTI), Kamuzu University of Health Sciences, Blantyre, Malawi.
Takondwa MsosaPathology Department, Helse Nord Tuberculosis Initiative (HNTI), Kamuzu University of Health Sciences, Blantyre, Malawi.
Marriott NliwasaDepartment of Pathology, Kamuzu University of Health Sciences, Blantyre, Malawi.
Chisomo L MsefulaDepartment of Pathology, Kamuzu University of Health Sciences, Blantyre, Malawi.
Derek SloanDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
Wilber SabiitiDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK. ws31@st-andrews.ac.uk.

Funding

Malawi HIV Implementation Research Scientist Training Program (MHIRST)D43TW010060 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MINA CHRISTINE HOSSEINIPOUR, Victor Mwapasa · 2015 to 2026
$3.8M
FIC NIH HHS D43 TW010060Wellcome TrustWellcome Trust Institutional Strategic Support fund of the University of St Andrews 204821/Z/16/Z
6 · The paper itself

Abstract

The World Health Organization End TB strategy aims for a 90% reduction of tuberculosis (TB) incidence by 2035. Systematic testing and treatment of latent TB infection (LTBI) among contacts of active TB patients is recommended as one of the ways to curtail TB incidence. However, there is a shortage of tools to accurately diagnose LTBI. We assessed the appropriateness of whole blood host transcriptomic markers (TM) to diagnose LTBI among household contacts of bacteriologically confirmed index cases compared to HIV negative healthy controls (HC). QuantiFERON-TB Gold Plus Interferon gamma release assay (IGRA) and reverse-transcriptase quantitative PCR were used to determine LTBI and quantify TM expression respectively. Association between TM expression and LTBI was evaluated by logistic regression modelling. A total of 100 participants, 49 TB exposed (TBEx) household contacts and 51 HC, were enrolled. Twenty-five (51%) TBEx individuals tested positive by IGRA, and were denoted as LTBI individuals, and 37 (72.5%) HC were IGRA-negative. Expression of 11 evaluated TM was significantly suppressed among LTBI compared to HC. Out of the 11 TM, ZNF296 and KLF2 expression were strongly associated with LTBI and successfully differentiated LTBI from HC. Paradoxically, 21 (49%) TBEx participants who tested IGRA negative exhibited the same pattern of suppressed TM expression as IGRA positive (LTBI-confirmed individuals). Results suggest that suppression of gene expression underlies LTBI and may be a more sensitive diagnostic biomarker than standard-of-care IGRA.

Indexed as

BiomarkersLatent TuberculosisAdolescentAdultCase-Control StudiesFemaleHumansInterferon-gamma Release TestsMaleMiddle AgedTranscriptomeYoung AdultBiomarkers

Identifiers

PMID38972907
PMCPMC11228037

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Registered trials

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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.