ArticleThe Journal of infectious diseases2022
Use of a Contained Mycobacterium tuberculosis Mouse Infection Model to Predict Active Disease and Containment in Humans.
Article in The Journal of infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- 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
- CD8Nature communications · 2026Article
- Comparison of automated and manual mRNA enrichment to automated rRNA depletion for whole-blood RNA-sequencing.Scientific reports · 2025Article
- Immune transcriptomic differences in paediatric patients with SARS-CoV-2 compared to other lower respiratory tract infections.bioRxiv : the preprint server for biology · 2025Article
- Inflammatory Biomarkers of Asymptomatic and Symptomatic Tuberculosis.bioRxiv : the preprint server for biology · 2025Article
- Blood transcriptomic signatures predict poor treatment outcomes in drug-susceptible pulmonary TB in Brazil.medRxiv : the preprint server for health sciences · 2025Article
- The quest for vaccine-induced immune correlates of protection against tuberculosis.Vaccine insights · 2022Article
- It Takes a Village: The Multifaceted Immune Response toFrontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Previous studies have identified whole-blood transcriptional risk and disease signatures for tuberculosis; however, several lines of evidence suggest that these signatures primarily reflect bacterial burden, which increases before symptomatic disease. We found that the peripheral blood transcriptome of mice with contained Mycobacterium tuberculosis infection (CMTI) has striking similarities to that of humans with active tuberculosis and that a signature derived from these mice predicts human disease with accuracy comparable to that of signatures derived directly from humans. A set of genes associated with immune defense are up-regulated in mice with CMTI but not in humans with active tuberculosis, suggesting that their up-regulation is associated with bacterial containment. A signature comprising these genes predicts both protection from tuberculosis disease and successful treatment at early time points where current signatures are not predictive. These results suggest that detailed study of the CMTI model may enable identification of biomarkers for human tuberculosis.
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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.