Evidence map›Paper›PMID 30008984›Full record

ArticleCurrent protocols in immunology2018

Gnotobiotic and Conventional Mouse Systems to Support Microbiota Based Studies.

Richard Lavin, Nicholas DiBenedetto, Vladimir Yeliseyev, Mary Delaney, Lynn Bry

Abstract read
In one paragraph

Article in Current protocols in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. iScience · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

5 authors.

Richard LavinMassachusetts Host-Microbiome Center, Department Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Nicholas DiBenedettoMassachusetts Host-Microbiome Center, Department Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Vladimir YeliseyevMassachusetts Host-Microbiome Center, Department Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Mary DelaneyMassachusetts Host-Microbiome Center, Department Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Lynn BryMassachusetts Host-Microbiome Center, Department Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Funding

STRUCTURE-FUNCTION RELATIONSHIPS IN THE ALIMENTARY TRACTP30DK034854 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WAYNE I LENCER · 1986 to 2026
$32.4M
NIDDK NIH HHS P30 DK034854
6 · The paper itself

Abstract

Animal models are essential to dissect host-microbiota interactions that impact health and the development of disease. In addition to providing pre-clinical models for the development of novel therapeutics and diagnostic biomarkers, mouse systems actively support microbiome studies by defining microbial contributions to normal development and homeostasis, and as well as their role in promoting diseases such as inflammatory auto-immune diseases, diabetes, metabolic syndromes, and susceptibilities to infectious agents. Mice provide a genetically tenable host that can be reared under gnotobiotic (germfree) conditions, allowing colonization studies with human or mouse-origin defined or complex microbial communities to define specific

Indexed as

Germ-Free LifeMicrobiological TechniquesAnimalsFecesHumansMiceMicrobiotaSterilizationgermfreegnotobiotichost-microbiomemicrobiotamurine models

Identifiers

PMID30008984
PMCPMC6040836

What OpenQuestion holds

Textmetadata
LicenceTDM
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.