ReviewNature immunology2018
The value of transcriptomics in advancing knowledge of the immune response and diagnosis in tuberculosis.
Review in Nature immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.
What it found
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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.
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Who cites it
83 citing papers in PubMed.
- 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
- Doxycycline host-directed therapy in human pulmonary tuberculosis.The Journal of clinical investigation · 2021Trial
- Transcriptional Profiling of Human Peripheral Blood Mononuclear Cells Identifies Diagnostic Biomarkers That Distinguish Active and Latent Tuberculosis.Frontiers in immunology · 2019Trial
- Does Tuberculosis Leave a Thromboinflammatory Memory After Cure? A Narrative Review with a Conceptual Framework on Hypercoagulability, Cellular Reservoirs, and Extracellular Vesicle Signaling.International journal of molecular sciences · 2026Review
- Predicting trajectories of illness using RNA velocity of whole blood.Nature communications · 2026Observational
- Neutrophil-specific transcriptomic profiling reveals a novel signature for active tuberculosis diagnosis.Microbiology spectrum · 2026Article
- Controlled human infection with Mycobacterium tuberculosis: practical considerations for clinical trials.The Lancet. Microbe · 2026Review
- Integrating Untargeted Metabolomics and Transcriptomics in Mice with Pulmonary Tuberculosis to Reveal Changes in Linoleic Acid and Its Metabolism in Lung Monocyte-Derived Macrophages.Pathogens (Basel, Switzerland) · 2026Article
- Host response biomarkers of tuberculosis recurrence and treatment failure.Communications medicine · 2026Article
- From clinical phenotypes to genomic signatures: machine learning integration for precision tuberculosis treatment prediction.Frontiers in bioinformatics · 2026Article
- Host-directed therapeutics against antimicrobial-resistant bacterial infections: emerging roles of multi-omics and systems biology.Frontiers in pharmacology · 2026Review
- Machine learning prediction of pharmacist intervention benefit in tuberculosis patients using clinical parameters: a single-center retrospective study.Frontiers in cellular and infection microbiology · 2026Article
- Construction and verification of early diagnosis model of tuberculous meningitis.Frontiers in cellular and infection microbiology · 2026Article
- Integrative transcriptomic meta-analysis reveals conserved transcriptional signatures and predictive biomarkers for active tuberculosis: a pathway-based machine learning approach.Frontiers in microbiology · 2026Article
- Deep immune profiling delineates hallmarks of disease heterogeneity in extrapulmonary tuberculosis.Nature communications · 2025Article
- Peripheral blood cellular dynamics during the progression of human tuberculosis.Scientific reports · 2025Article
- Advancement in diagnostic approaches for latent tuberculosis: distinguishing recent from remote infections.One health outlook · 2025Review
- Plasma Immune Biomarkers Predictive of Progression to Active Tuberculosis in Household Contacts of Patients With Tuberculosis.The Journal of infectious diseases · 2025Article
- Comparative gene expression pattern of immune-related genes using dual-color RT-MLPA in the lesions of cutaneous leishmaniasis caused by L. major and L. tropica.PLoS neglected tropical diseases · 2025Article
- Exposure to Urban Air Pollution Particulate Matter Modifies Th1/Th2American journal of respiratory cell and molecular biology · 2025Article
23 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Blood transcriptomics analysis of tuberculosis has revealed an interferon-inducible gene signature that diminishes in expression after successful treatment; this promises improved diagnostics and treatment monitoring, which are essential for the eradication of tuberculosis. Sensitive radiography revealing lung abnormalities and blood transcriptomics have demonstrated heterogeneity in patients with active tuberculosis and exposed asymptomatic people with latent tuberculosis, suggestive of a continuum of infection and immune states. Here we describe the immune response to infection with Mycobacterium tuberculosis revealed through the use of transcriptomics, as well as differences among clinical phenotypes of infection that might provide information on temporal changes in host immunity associated with evolving infection. We also review the diverse blood transcriptional signatures, composed of small sets of genes, that have been proposed for the diagnosis of tuberculosis and the identification of at-risk asymptomatic people and suggest novel approaches for the development of such biomarkers for clinical use.
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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.