ArticlemSphere2024
Comparison of mouse models of microbial experience reveals differences in microbial diversity and response to vaccination.
Article in mSphere, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 17 citations in OpenAlex.
- A gavage-fomite based method to generate mouse models with natural microbiota.Journal of immunology (Baltimore, Md. : 1950) · 2026Article
- Dirty mice better recapitulate key features of mRNA vaccine immunogenicity observed in humans.mBio · 2026Article
- Immune Mechanisms and Translational Study Design in Viral Vaccine Development.International journal of molecular sciences · 2026Review
- A gavage-fomite based method to generate mouse models with natural microbiota.bioRxiv : the preprint server for biology · 2026Article
- Prebiotics Enhance Microbiome Recovery Following Antibiotic-Induced Dysbiosis.Microorganisms · 2026Article
- MDA5-MAVS and interferon-lambda signaling in the intestinal epithelium limit murine astrovirus infection.Mucosal immunology · 2026Article
- Eco-tank Housing Maintains Wild-Type Microbiota and Rewilds the Laboratory Mouse Gut Microbiome to Restore Natural Immune Tone.bioRxiv : the preprint server for biology · 2026Article
- Dirty mice better recapitulate key features of mRNA vaccine immunogenicity observed in humans.bioRxiv : the preprint server for biology · 2026Article
- Diverse Microbial Exposure Enhances CD8bioRxiv : the preprint server for biology · 2026Article
- Natural microbial enrichment modulates microglial states and transcriptional programs relevant to Alzheimer's disease.Frontiers in immunology · 2026Article
- Naturalized immune responses are stable over years in a colony of laboratory mice with wild-derived microbiota.Immunity · 2025Article
- Review
- Naturally transmitted mouse viruses highlight the heterogeneity of virus transmission dynamics in the dirty mouse model.Journal of virology · 2025Article
- Integrating natural commensals and pathogens into preclinical mouse models.Nature reviews. Immunology · 2025Review
- Virus-induced perturbations in the mouse microbiome are impacted by microbial experience.mSphere · 2025Article
- Immunomodulatory effects of gut microbiota on vaccine efficacy against respiratory pathogens.Frontiers in immunology · 2025Review
- Comparison of naturalization mouse model setups uncover distinct effects on intestinal mucosa depending on microbial experience.Discovery immunology · 2025Article
- Sexual dimorphism in atherosclerotic plaques of aged LdlrImmunity & ageing : I & A · 2024Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
Specific pathogen-free (SPF) laboratory mice dominate preclinical studies for immunology and vaccinology. Unfortunately, SPF mice often fail to accurately model human responses to vaccination and other immunological perturbations. Several groups have taken different approaches to introduce additional microbial experience to SPF mice to better model human immune experience. How these different models compare is unknown. Here, we directly compare three models: housing SPF mice in a microbe-rich barn-like environment (feralizing), adding wild-caught mice to the barn-like environment (fer-cohoused), or cohousing SPF mice with pet store mice in a barrier facility (pet-cohoused); the two latter representing different murine sources of microbial transmission. Pet-cohousing mice resulted in the greatest microbial exposure. Feralizing alone did not result in the transmission of any pathogens tested, while fer-cohousing resulted in the transmission of several picornaviruses. Murine astrovirus 2, the most common pathogen from pet store mice, was absent from the other two model systems. Previously, we had shown that pet-cohousing reduced the antibody response to vaccination compared with SPF mice. This was not recapitulated in either the feralized or fer-cohoused mice. These data indicate that not all dirty mouse models are equivalent in either microbial experience or immune responses to vaccination. These disparities suggest that more cross model comparisons are needed but also represent opportunities to uncover microbe combination-specific phenotypes and develop more refined experimental models. Given the breadth of microbes encountered by humans across the globe, multiple model systems may be needed to accurately recapitulate heterogenous human immune responses.IMPORTANCEAnimal models are an essential tool for evaluating clinical interventions. Unfortunately, they can often fail to accurately predict outcomes when translated into humans. This failure is due in part to a lack of natural infections experienced by most laboratory animals. To improve the mouse model, we and others have exposed laboratory mice to microbes they would experience in the wild. Although these models have been growing in popularity, these different models have not been specifically compared. Here, we directly compare how three different models of microbial experience impact the immune response to influenza vaccination. We find that these models are not the same and that the degree of microbial exposure affects the magnitude of the response to vaccination. These results provide an opportunity for the field to continue comparing and contrasting these systems to determine which models best recapitulate different aspects of the human condition.
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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.