SynthesisThe Lancet. Respiratory medicine2020
Concise whole blood transcriptional signatures for incipient tuberculosis: a systematic review and patient-level pooled meta-analysis.
Synthesis in The Lancet. Respiratory medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 4 of them syntheses that pooled it.
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Who cites it
123 citing papers in PubMed, 4 syntheses or guidelines pooled it, 188 citations in OpenAlex.
- Gene signature discovery and systematic validation across diverse clinical cohorts for TB prognosis and response to treatment.PLoS computational biology · 2023Pooled it
- MicroRNAs as diagnostic biomarkers for Tuberculosis: A systematic review and meta- analysis.Frontiers in immunology · 2022Pooled it
- Discovery and validation of a personalized risk predictor for incident tuberculosis in low transmission settings.Nature medicine · 2020Pooled it
- Pooled it
- The Impact of Vitamin A Deficiency on Tuberculosis Progression.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022Trial
- Biomarker-guided tuberculosis preventive therapy (CORTIS): a randomised controlled trial.The Lancet. Infectious diseases · 2021Trial
- Blood transcriptomic signatures predict poor outcomes in drug-susceptible pulmonary tuberculosis in Brazil.American journal of respiratory and critical care medicine · 2026Article
- Inflammatory biomarkers of asymptomatic and symptomatic tuberculosis.Nature communications · 2026Article
- Monocyte-Amplified Transcriptional Signatures of Human Diseases.bioRxiv : the preprint server for biology · 2026Article
- Influenza coinfection inhibits control of mycobacterial infection in a human challenge model.Nature communications · 2026Article
- RISK6 as a Translational Host Transcriptomic Signature for Tuberculosis Diagnosis, Treatment Monitoring, and Risk Stratification.Pathogens (Basel, Switzerland) · 2026Review
- Multidimensional cfRNA response modeling identifies a 5-gene pair signature for high-robust pulmonary tuberculosis diagnosis.iScience · 2026Article
- Neutrophil-specific transcriptomic profiling reveals a novel signature for active tuberculosis diagnosis.Microbiology spectrum · 2026Article
- Accuracy and clinical utility of near-point-of-care blood tests for predicting incident tuberculosis in exposed contacts in high burden settings: a multi-country observational cohort study.Research square · 2026Article
- Conserved neutrophil degranulation transcripts in HIV-TB coinfected children across East and Southern Africa.Communications medicine · 2026Article
- Biofilm Associated Persistence and Drug Tolerance in Mycobacteria Within Host Microenvironments.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026Review
- ASAP1 as a novel dual-level biomarker for tuberculosis: integrated genetic and proteomic evidence for early detection and disease monitoring.Molecular biology reports · 2026Article
- Evaluation of the performance of promising host transcriptional biosignatures in predicting TB progression during a 1-year prospective cohort study in Indian household contacts.Frontiers in tuberculosis · 2026Article
- Machine learning-based feature selection suggests circulating proteins as best at predicting and diagnosing tuberculosis inFrontiers in cellular and infection microbiology · 2026Article
- Rapid Molecular Diagnostics of Tuberculosis: What Do We Have, What Do We Need?Pulmonary medicine · 2026Review
63 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundMultiple blood transcriptional signatures have been proposed for identification of active and incipient tuberculosis. We aimed to compare the performance of systematically identified candidate signatures for incipient tuberculosis and to benchmark these against WHO targets.
methodsWe did a systematic review and individual participant data meta-analysis. We searched Medline and Embase for candidate whole blood mRNA signatures discovered with the primary objective of diagnosis of active or incipient tuberculosis, compared with controls who were healthy or had latent tuberculosis infection. We tested the performance of eligible signatures in whole blood transcriptomic datasets, in which sampling before tuberculosis diagnosis was done and time to disease was available. Culture-confirmed and clinically or radiologically diagnosed pulmonary or extrapulmonary tuberculosis cases were included. Non-progressor (individuals who remained tuberculosis-free during follow-up) samples with less than 6 months of follow-up from the date of sample collection were excluded, as were participants with prevalent tuberculosis and those who received preventive therapy. Scores were calculated for candidate signatures for each participant in the pooled dataset. Receiver operating characteristic curves, sensitivities, and specificities were examined using prespecified intervals to tuberculosis (<3 months, <6 months, <1 year, and <2 years) from sample collection. This study is registered with PROSPERO, number CRD42019135618.
resultsWe tested 17 candidate mRNA signatures in a pooled dataset from four eligible studies comprising 1126 samples. This dataset included 183 samples from 127 incipient tuberculosis cases in South Africa, Ethiopia, The Gambia, and the UK. Eight signatures (comprising 1-25 transcripts) that predominantly reflect interferon and tumour necrosis factor-inducible gene expression, had equivalent diagnostic accuracy for incipient tuberculosis over a 2-year period with areas under the receiver operating characteristic curves ranging from 0·70 (95% CI 0·64-0·76) to 0·77 (0·71-0·82). The sensitivity of all eight signatures declined with increasing disease-free time interval. Using a threshold derived from two SDs above the mean of uninfected controls to prioritise specificity and positive-predictive value, the eight signatures achieved sensitivities of 24·7-39·9% over 24 months and of 47·1-81·0% over 3 months, with corresponding specificities of more than 90%. Based on pre-test probability of 2%, the eight signatures achieved positive-predictive values ranging from 6·8-9·4% over 24 months and 11·2-14·4% over 3 months. When using biomarker thresholds maximising sensitivity and specificity with equal weighting to both, no signature met the minimum WHO target product profile parameters for incipient tuberculosis biomarkers over a 2-year period.
interpretationBlood transcriptional biomarkers reflect short-term risk of tuberculosis and only exceed WHO benchmarks if applied to 3-6-month intervals. Serial testing among carefully selected target groups might be required for optimal implementation of these biomarkers.
fundingWellcome Trust and National Institute for Health Research.
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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.