ArticleImmunity & ageing : I & A2014
Genetically diverse mice are novel and valuable models of age-associated susceptibility to Mycobacterium tuberculosis.
Article in Immunity & ageing : I & A, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 36 citations in OpenAlex.
- CCR6 is essential for effective immunity againstInfection and immunity · 2026Article
- Genetic diversity leads to differential inflammatory responses to cigarette smoke in mice.Physiological reports · 2025Article
- Immunological roads diverged: mapping tuberculosis outcomes in mice.Trends in microbiology · 2025Review
- Methods and Models for StudyingInternational journal of molecular sciences · 2024Review
- B cells in perivascular and peribronchiolar granuloma-associated lymphoid tissue and B-cell signatures identify asymptomaticInfection and immunity · 2024Article
- Systems genetics uncover new loci containing functional gene candidates in Mycobacterium tuberculosis-infected Diversity Outbred mice.PLoS pathogens · 2024Article
- ESAT-6 undergoes self-association at phagosomal pH and an ESAT-6-specific nanobody restrictseLife · 2024Article
- ESAT-6 undergoes self-association at phagosomal pH and an ESAT-6 specific nanobody restricts M. tuberculosis growth in macrophages.bioRxiv : the preprint server for biology · 2024Article
- The chosen few:Frontiers in immunology · 2024Review
- Prediction of Tuberculosis From Lung Tissue Images of Diversity Outbred Mice Using Jump Knowledge Based Cell Graph Neural Network.IEEE access : practical innovations, open solutions · 2024Article
- Systems genetics uncover new loci containing functional gene candidates inbioRxiv : the preprint server for biology · 2023Article
- Animal models for COVID-19 and tuberculosis.Frontiers in immunology · 2023Review
- CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice.PLoS pathogens · 2021Article
- Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice.EBioMedicine · 2021Article
- Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning.EBioMedicine · 2020Article
- Fighting Persistence: How Chronic Infections with Mycobacterium tuberculosis Evade T Cell-Mediated Clearance and New Strategies To Defeat Them.Infection and immunity · 2020Review
- Article
- Burkholderia pseudomallei invades the olfactory nerve and bulb after epithelial injury in mice and causes the formation of multinucleated giant glial cells in vitro.PLoS neglected tropical diseases · 2020Article
- Automatic Detection of Granuloma Necrosis in Pulmonary Tuberculosis Using a Two-Phase Algorithm: 2D-TB.Microorganisms · 2019Article
- Doxorubicin-Induced Cardiotoxicity in Collaborative Cross (CC) Mice Recapitulates Individual Cardiotoxicity in Humans.G3 (Bethesda, Md.) · 2019Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundTuberculosis, the disease due to Mycobacterium tuberculosis, is an important cause of morbidity and mortality in the elderly. Use of mouse models may accelerate insight into the disease and tests of therapies since mice age thirty times faster than humans. However, the majority of TB research relies on inbred mouse strains, and these results might not extrapolate well to the genetically diverse human population. We report here the first tests of M. tuberculosis infection in genetically heterogeneous aging mice, testing if old mice benefit from rapamycin.
findingsWe find that genetically diverse aging mice are much more susceptible than young mice to M. tuberculosis, as are aging human beings. We also find that rapamycin boosts immune responses during primary infection but fails to increase survival.
conclusionsGenetically diverse mouse models provide a valuable resource to study how age influences responses and susceptibility to pathogens and to test interventions. Additionally, surrogate markers such as immune measures may not predict whether interventions improve survival.
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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.