ArticleFrontiers in immunology2021
Gene Set Enrichment Analysis Reveals Individual Variability in Host Responses in Tuberculosis Patients.
Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Immune endotypes in tuberculosis: Keys to decoding disease complexity.Journal of internal medicine · 2026Review
- FUNCellA: A Tool for Single-Sample Enrichment Analysis and Relative Pathway Activity Estimation in Single-Cell RNA Sequencing Data.Computational and structural biotechnology journal · 2026Article
- Comparison of gene set scoring methods for reproducible evaluation of tuberculosis gene signatures.BMC infectious diseases · 2024Article
- Beyond the Clinic: The Activation of Diverse Cellular and Humoral Factors Shapes the Immunological Status of Patients with Active Tuberculosis.International journal of molecular sciences · 2023Review
- Blue Skies research is essential for ending the Tuberculosis pandemic and advancing a personalized medicine approach for holistic management of Respiratory Tract infections.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022Review
- Reinventing the human tuberculosis (TB) granuloma: Learning from the cancer field.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Group-aggregated responses to tuberculosis (TB) have been well characterized on a molecular level. However, human beings differ and individual responses to infection vary. We have combined a novel approach to individual gene set analysis (GSA) with the clustering of transcriptomic profiles of TB patients from seven datasets in order to identify individual molecular endotypes of transcriptomic responses to TB. We found that TB patients differ with respect to the intensity of their hallmark interferon (IFN) responses, but they also show variability in their complement system, metabolic responses and multiple other pathways. This variability cannot be sufficiently explained with covariates such as gender or age, and the molecular endotypes are found across studies and populations. Using datasets from a
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Registered trials
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