Evidence map›Paper›PMID 32878597›Full record

ReviewBMC immunology2020

Genomic, microbial and environmental standardization in animal experimentation limiting immunological discovery.

Josue Enriquez, Brianyell Mc Daniel Mims, Scott Trasti, Kathryn L Furr, Matthew B Grisham

Open access · goldAbstract readReview
In one paragraph

Review in BMC immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
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  13. bioRxiv : the preprint server for biology · 2024
    Article
  14. Review
  15. Influence of Housing Temperature and Genetic Diversity on Allogeneic T Cell-Induced Tissue Damage in Mice.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Overexpression ofInternational journal of molecular sciences · 2022
    Article
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

5 authors at 1 institution in 1 country.

Josue EnriquezDepartment of Immunology and Molecular Microbiology, Texas Tech University Health Sciences Center, 3601 4th Street STOP 6591, Lubbock, TX, 79430-6591, USA.
Brianyell Mc Daniel MimsDepartment of Immunology and Molecular Microbiology, Texas Tech University Health Sciences Center, 3601 4th Street STOP 6591, Lubbock, TX, 79430-6591, USA.
Scott TrastiDepartment of Immunology and Molecular Microbiology, Texas Tech University Health Sciences Center, 3601 4th Street STOP 6591, Lubbock, TX, 79430-6591, USA.
Kathryn L FurrDepartment of Immunology and Molecular Microbiology, Texas Tech University Health Sciences Center, 3601 4th Street STOP 6591, Lubbock, TX, 79430-6591, USA.
Matthew B GrishamDepartment of Immunology and Molecular Microbiology, Texas Tech University Health Sciences Center, 3601 4th Street STOP 6591, Lubbock, TX, 79430-6591, USA. matthew.grisham@ttuhsc.edu.ORCID 0000-0001-9090-721X
Texas Tech University · US

Funding

Role of T cells and the Intestinal Microbiota in the Pathogenesis of Acute Graft- versus- Host DiseaseF31AI145077 · NIAID · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI MCDANIEL, BRIANYELL · 2019 to 2019
$31k
NIAID NIH HHS F31 AI145077
6 · The paper itself

Abstract

backgroundThe use of inbred mice housed under standardized environmental conditions has been critical in identifying immuno-pathological mechanisms in different infectious and inflammatory diseases as well as revealing new therapeutic targets for clinical trials. Unfortunately, only a small percentage of preclinical intervention studies using well-defined mouse models of disease have progressed to clinically-effective treatments in patients. The reasons for this lack of bench-to-bedside transition are not completely understood; however, emerging data suggest that genetic diversity and housing environment may greatly influence muring immunity and inflammation.

resultsAccumulating evidence suggests that certain immune responses and/or disease phenotypes observed in inbred mice may be quite different than those observed in their outbred counterparts. These differences have been thought to contribute to differing immune responses to foreign and/or auto-antigens in mice vs. humans. There is also a growing literature demonstrating that mice housed under specific pathogen free conditions possess an immature immune system that remarkably affects their ability to respond to pathogens and/or inflammation when compared with mice exposed to a more diverse spectrum of microorganisms. Furthermore, recent studies demonstrate that mice develop chronic cold stress when housed at standard animal care facility temperatures (i.e. 22-24 °C). These temperatures have been shown alter immune responses to foreign and auto-antigens when compared with mice housed at their thermo-neutral body temperature of 30-32 °C.

conclusionsExposure of genetically diverse mice to a spectrum of environmentally-relevant microorganisms at housing temperatures that approximate their thermo-neutral zone may improve the chances of identifying new and more potent therapeutics to treat infectious and inflammatory diseases.

Indexed as

Animal ExperimentationAnimalsDisease Models, AnimalDrug DiscoveryGenomicsHousing, AnimalHumansImmunityMiceReference StandardsSpecific Pathogen-Free OrganismsTemperatureAtherosclerosisAutoimmune diseaseColorectal cancerGVHDInfectionInflammationMicrobiotaObesityOutbred miceSteatohepatitis

Identifiers

PMID32878597
PMCPMC7464063
OpenAlexW3082902858

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.