Evidence map›Paper›PMID 29050771›Full record

ArticleTuberculosis (Edinburgh, Scotland)2017

Host blood RNA signatures predict the outcome of tuberculosis treatment.

Ethan G Thompson, Ying Du, Stephanus T Malherbe, Smitha Shankar, Jackie Braun, Joe Valvo, Katharina Ronacher, Gerard Tromp, David L Tabb, David Alland and 9 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Tuberculosis (Edinburgh, Scotland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 2 pooled it
9.4field-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

111 citing papers in PubMed, 2 syntheses or guidelines pooled it, 192 citations in OpenAlex.

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  18. Ly6GeLife · 2026
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51 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

19 authors at 7 institutions in 3 countries.

Ethan G ThompsonThe Center for Infectious Disease Research, Seattle, WA, USA.
Ying DuThe Center for Infectious Disease Research, Seattle, WA, USA.
Stephanus T MalherbeDepartment of Science and Technology, National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Cape Town, South Africa; South African Medical Research Council, Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Smitha ShankarThe Center for Infectious Disease Research, Seattle, WA, USA.
Jackie BraunThe Center for Infectious Disease Research, Seattle, WA, USA.
Joe ValvoThe Center for Infectious Disease Research, Seattle, WA, USA.
Katharina RonacherDepartment of Science and Technology, National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Cape Town, South Africa; South African Medical Research Council, Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; Mater Medical Research Institute, The University of Queensland, Brisbane, Australia.
Gerard TrompDepartment of Science and Technology, National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Cape Town, South Africa; South African Medical Research Council, Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
David L TabbDepartment of Science and Technology, National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Cape Town, South Africa; South African Medical Research Council, Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
David AllandCenter for Emerging Pathogens, Department of Medicine, Rutgers New Jersey Medical School, Rutgers Biomedical & Health Sciences, Newark, NJ, USA.
Shubhada ShenaiCenter for Emerging Pathogens, Department of Medicine, Rutgers New Jersey Medical School, Rutgers Biomedical & Health Sciences, Newark, NJ, USA.
Laura E ViaTuberculosis Research Section, Laboratory of Clinical Infectious Diseases, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA; Institute of Infectious Disease and Molecular Medicine, Department of Clinical Laboratory Sciences, University of Cape Town, Cape Town, South Africa.
James WarwickWestern Cape Academic Positron Emission Tomography-Computed Tomography Centre, Tygerberg Academic Hospital, Cape Town, South Africa; Division of Nuclear Medicine, Department of Medical Imaging and Clinical Oncology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Alan AderemThe Center for Infectious Disease Research, Seattle, WA, USA.
Thomas J ScribaSouth African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine & Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Jill WinterCatalysis Foundation for Health, Emeryville, CA, USA.
Gerhard WalzlDepartment of Science and Technology, National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Cape Town, South Africa; South African Medical Research Council, Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Daniel E ZakThe Center for Infectious Disease Research, Seattle, WA, USA. Electronic address: daniel.zak@cidresearch.org.
Catalysis TB–Biomarker Consortium
Center for Infectious Disease Research · USSouth African Medical Research Council · ZARutgers, The State University of New Jersey · USCatalysis Foundation for Health · USNational Institutes of Health · USStellenbosch University · ZAUniversity of Cape Town · ZA

Funding

Technology CoreU19AI106761 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI SHERMAN, DAVID R, ZAK, DANIEL E · 2013 to 2017
$18.9M
International Tuberculosis Research in ChinaZIAAI001081 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BARRY, CLIFTON · 2010 to 2025
$12.2M
Biology and Biosignatures of Anti-Tuberculosis Treatment ResponseU01AI115619 · NIAID · COLORADO STATE UNIVERSITY · PI BELISLE, JOHN T · 2015 to 2019
$3.1M
NIAID NIH HHS U01 AI115619NIAID NIH HHS U19 AI106761
6 · The paper itself

Abstract

Biomarkers for tuberculosis treatment outcome will assist in guiding individualized treatment and evaluation of new therapies. To identify candidate biomarkers, RNA sequencing of whole blood from a well-characterized TB treatment cohort was performed. Application of a validated transcriptional correlate of risk for TB revealed symmetry in host gene expression during progression from latent TB infection to active TB disease and resolution of disease during treatment, including return to control levels after drug therapy. The symmetry was also seen in a TB disease signature, constructed from the TB treatment cohort, that also functioned as a strong correlate of risk. Both signatures identified patients at risk of treatment failure 1-4 weeks after start of therapy. Further mining of the transcriptomes revealed an association between treatment failure and suppressed expression of mitochondrial genes before treatment initiation, leading to development of a novel baseline (pre-treatment) signature of treatment failure. These novel host responses to TB treatment were integrated into a five-gene real-time PCR-based signature that captures the clinically relevant responses to TB treatment and provides a convenient platform for stratifying patients according to their risk of treatment failure. Furthermore, this 5-gene signature is shown to correlate with the pulmonary inflammatory state (as measured by PET-CT) and can complement sputum-based Gene Xpert for patient stratification, providing a rapid and accurate alternative to current methods.

Indexed as

TranscriptomeAntitubercular AgentsArea Under CurveDisease ProgressionDrug Resistance, BacterialGene Expression ProfilingGenetic MarkersHost-Pathogen InteractionsHumansMycobacterium tuberculosisPredictive Value of TestsReal-Time Polymerase Chain ReactionReproducibility of ResultsRisk FactorsRNAROC CurveAntitubercular AgentsGenetic MarkersRNABiomarkersHost responseMitochondriaTranscriptomeTuberculosis treatment

Identifiers

PMID29050771
PMCPMC5658513
OpenAlexW2742907526

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.