ArticleDrug discovery today. Disease models2018
Using the natural variation of mouse populations to understand host-gut microbiome interactions.
Article in Drug discovery today. Disease models, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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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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
8 citing papers in PubMed.
- Aging of the adaptive immune system affects the gut microbiome and systemic levels of vitamin B6.Microbiome · 2026Article
- Forage quality shapes physiological and gut microbial responses in moose (Alces alces) of Isle Royale National Park.Scientific reports · 2026Article
- Multi-Omics Insights into the Relationship Between Intestinal Microbiota and Abdominal Fat Deposition in Meat Ducks.Animals : an open access journal from MDPI · 2025Article
- Gut microbiota interact with breast cancer therapeutics to modulate efficacy.EMBO molecular medicine · 2025Review
- Effects of Leishmania major infection on the gut microbiome of resistant and susceptible mice.Applied microbiology and biotechnology · 2024Article
- Bact-to-Batch: A Microbiota-Based Tool to Determine Optimal Animal Allocation in Experimental Designs.International journal of molecular sciences · 2023Article
- Article
- Multi-Omics Association Reveals the Effects of Intestinal Microbiome-Host Interactions on Fat Deposition in Broilers.Frontiers in microbiology · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
One approach to understanding gut microbiome-host interactions, described in this review, is to examine how natural variation in a model organism, where environmental factors can be controlled, affects the microbiome and, in turn, how the microbiome is associated with physiological or clinical traits. A variation of this approach, termed "systems genetics" is to characterize both the microbiome and the host using various high throughput technologies, such as metabolomics or gene expression of the microbiome and the host. By relating variation in the microbiome and host functions to such "molecular phenotypes", hypotheses can be generated and then experimentally tested. To model human gut microbiome-host interactions in this way, the mouse is particularly useful given the extensive body of genetic resources and experimental tools that are available.
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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.