Evidence map›Paper›PMID 33704763›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Infection of Immunocompetent Conventional Mice with Shiga Toxin-Producing E. coli: The DSS + STEC Model.

Gregory Hall, Shinichiro Kurosawa, D J Stearns-Kurosawa

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.6field-weighted citation impact, top 15% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Gregory HallDepartment of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA. gregory.hall@toxikon.com.
Shinichiro KurosawaDepartment of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA.
D J Stearns-KurosawaDepartment of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA.
Boston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous methods of infecting mice with Shiga toxin-producing E. coli (STEC) required suppression of host immune function or ablation of the gut microbiota to induce susceptibility to gastrointestinal colonization. Consequently, many pathogen-host interactions occurring in immunocompetent hosts during STEC infection and Shiga toxicosis have remained unclear. The following protocol describes the use of dextran sulfate sodium (DSS) to induce a mild colitis in immunocompetent conventional C57BL/6 mice to facilitate susceptibility to STEC infection by oral gavage. STEC colonization in infected mice was confirmed by recovery of live STEC via fecal cultures and quantified via quantitative polymerase chain reaction of fecal DNA for the STEC-specific gene eae. DSS colitis is well established, broadly reproducible, and does not require specialized equipment or high levels of technical proficiency to be a useful method of inducing susceptibility to gastrointestinal STEC colonization. The DSS + STEC mouse model provides a novel and useful tool for the exploration of local STEC-host interactions in the gut environment and the pathogenesis of Shiga toxicosis.

Indexed as

AnimalsDextran SulfateDisease Models, AnimalEscherichia coli InfectionsFecesMiceShiga-Toxigenic Escherichia coliDextran SulfateDextran sulfate sodium colitisDSSDSS + STECFecal DNA isolationShiga toxin-producing E. coliShiga toxinsSTEC

Identifiers

PMID33704763
OpenAlexW3134040297

What OpenQuestion holds

Textmetadata
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.