ArticleNature communications2018
A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers, 3 of them syntheses that pooled it.
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Who cites it
146 citing papers in PubMed, 3 syntheses or guidelines pooled it, 235 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
- Meta-Analysis of Peripheral Blood Transcriptome Datasets Reveals a Biomarker Panel for Tuberculosis in Patients Infected With HIV.Frontiers in cellular and infection microbiology · 2021Pooled it
- Concise whole blood transcriptional signatures for incipient tuberculosis: a systematic review and patient-level pooled meta-analysis.The Lancet. Respiratory medicine · 2020Pooled it
- Transcriptional signatures of human peripheral blood mononuclear cells can identify the risk of tuberculosis progression from latent infection among individuals with silicosis.Emerging microbes & infections · 2021Trial
- Monocyte metabolic transcriptional programs associate with resistance to tuberculin skin test/interferon-γ release assay conversion.The Journal of clinical investigation · 2021Trial
- Trial
- Strong, sustained type I IFN signaling acts cell intrinsically to impair IFNγ responses and cause tuberculosis susceptibility.Cell host & microbe · 2026Article
- TRIM21 blocks DDX3X-driven stress granule formation during Mycobacterium tuberculosis infection via a non-canonical E3 ligase mechanism.PLoS pathogens · 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
- Review
- Influenza coinfection inhibits control of mycobacterial infection in a human challenge model.Nature communications · 2026Article
- Modulation of Ferroptosis During EarlybioRxiv : the preprint server for biology · 2026Article
- CD39 regulates P2RX7-mediated lung necrotic lesions in severe experimental tuberculosis.Mucosal immunology · 2026Article
- The host immune response to Mycobacterium tuberculosis determining protection or disease progression.Nature immunology · 2026Review
- Clinical and transcriptomic risk factors for post-tuberculosis lung disease in a cohort of Kenyan adults.American journal of respiratory and critical care medicine · 2026Observational
- Single-cell profiling reveals that dynamic lung immune responses distinguish protection from susceptibility to tuberculosis.PLoS pathogens · 2026Article
- Type I interferons in tuberculosis pathogenesis and prevention.Trends in microbiology · 2026Review
- Strong sustained type I IFN signaling acts cell intrinsically to impair IFNγ responses and cause tuberculosis susceptibility.bioRxiv : the preprint server for biology · 2026Article
- GIDISdb: a gene expression database for exploring human immune responses in infectious diseases.Database : the journal of biological databases and curation · 2026Article
86 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
15 authors at 7 institutions in 3 countries.
Funding
Abstract
Whole blood transcriptional signatures distinguishing active tuberculosis patients from asymptomatic latently infected individuals exist. Consensus has not been achieved regarding the optimal reduced gene sets as diagnostic biomarkers that also achieve discrimination from other diseases. Here we show a blood transcriptional signature of active tuberculosis using RNA-Seq, confirming microarray results, that discriminates active tuberculosis from latently infected and healthy individuals, validating this signature in an independent cohort. Using an advanced modular approach, we utilise the information from the entire transcriptome, which includes overabundance of type I interferon-inducible genes and underabundance of IFNG and TBX21, to develop a signature that discriminates active tuberculosis patients from latently infected individuals or those with acute viral and bacterial infections. We suggest that methods targeting gene selection across multiple discriminant modules can improve the development of diagnostic biomarkers with improved performance. Finally, utilising the modular approach, we demonstrate dynamic heterogeneity in a longitudinal study of recent tuberculosis contacts.
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Registered trials
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.