Evidence map›Paper›PMID 32620114›Full record

ArticleBMC biology2020

Temporospatial shifts within commercial laboratory mouse gut microbiota impact experimental reproducibility.

Rabindra K Mandal, Joshua E Denny, Morgan L Waide, Qingsheng Li, Neal Bhutiani, Charles D Anderson, Becca V Baby, Venkatakrishna R Jala, Nejat K Egilmez, Nathan W Schmidt

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Influence of Water Delivery Method on the Gut Microbiome in Laboratory Mice (Mus musculus).Journal of the American Association for Laboratory Animal Science : JAALAS · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Frontiers in immunology · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. The gut microbiome of laboratory mice: considerations and best practices for translational research.Mammalian genome : official journal of the International Mammalian Genome Society · 2021
    Review
  19. The microbiome and rodent models of immune mediated diseases.Mammalian genome : official journal of the International Mammalian Genome Society · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Rabindra K MandalDepartment of Microbiology and Immunology, University of Louisville, Louisville, KY, 40202, USA.
Joshua E DennyDepartment of Microbiology and Immunology, University of Louisville, Louisville, KY, 40202, USA.
Morgan L WaideDepartment of Microbiology and Immunology, University of Louisville, Louisville, KY, 40202, USA.
Qingsheng LiDepartment of Microbiology and Immunology, University of Louisville, Louisville, KY, 40202, USA.
Neal BhutianiDepartment of Microbiology and Immunology, University of Louisville, Louisville, KY, 40202, USA.
Charles D AndersonDepartment of Microbiology and Immunology, University of Louisville, Louisville, KY, 40202, USA.
Becca V BabyDepartment of Microbiology and Immunology, University of Louisville, Louisville, KY, 40202, USA.
Venkatakrishna R JalaDepartment of Microbiology and Immunology, University of Louisville, Louisville, KY, 40202, USA.
Nejat K EgilmezDepartment of Microbiology and Immunology, University of Louisville, Louisville, KY, 40202, USA.
Nathan W SchmidtDepartment of Microbiology and Immunology, University of Louisville, Louisville, KY, 40202, USA. nwschmid@iu.edu.ORCID 0000-0001-7325-4536
University of Louisville · US

Funding

Role of the gut microbiota in shaping severity of malariaR01AI123486 · NIAID · UNIVERSITY OF LOUISVILLE · PI SCHMIDT, NATHAN · 2017 to 2021
$2.5M
NIAID NIH HHS R01 AI123486
6 · The paper itself

Abstract

backgroundExperimental reproducibility in mouse models is impacted by both genetics and environment. The generation of reproducible data is critical for the biomedical enterprise and has become a major concern for the scientific community and funding agencies alike. Among the factors that impact reproducibility in experimental mouse models is the variable composition of the microbiota in mice supplied by different commercial vendors. Less attention has been paid to how the microbiota of mice supplied by a particular vendor might change over time.

resultsIn the course of conducting a series of experiments in a mouse model of malaria, we observed a profound and lasting change in the severity of malaria in mice infected with Plasmodium yoelii; while for several years mice obtained from a specific production suite of a specific commercial vendor were able to clear the parasites effectively in a relatively short time, mice subsequently shipped from the same unit suffered much more severe disease. Gut microbiota analysis of frozen cecal samples identified a distinct and lasting shift in bacteria populations that coincided with the altered response of the later shipments of mice to infection with malaria parasites. Germ-free mice colonized with cecal microbiota from mice within the same production suite before and after this change followed by Plasmodium infection provided a direct demonstration that the change in gut microbiota profoundly impacted the severity of malaria. Moreover, spatial changes in gut microbiota composition were also shown to alter the acute bacterial burden following Salmonella infection, and tumor burden in a lung tumorigenesis model.

conclusionThese changes in gut bacteria may have impacted the experimental reproducibility of diverse research groups and highlight the need for both laboratory animal providers and researchers to collaborate in determining the methods and criteria needed to stabilize the gut microbiota of animal breeding colonies and research cohorts, and to develop a microbiota solution to increase experimental rigor and reproducibility.

Indexed as

Disease Models, AnimalGastrointestinal MicrobiomeAnimalsFemaleMalariaMiceMice, Inbred C57BLPlasmodium yoeliiSpatio-Temporal AnalysisColitisGut microbiotaLung tumorigenesisMalariaSalmonellosisTemporospatial shift

Identifiers

PMID32620114
PMCPMC7334859
OpenAlexW3040391627

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.