Evidence map›Paper›PMID 37316287›Full record

ArticleThe Journal of veterinary medical science2023

Outer membrane protein BamA-based ELISA differentiates Salmonella-vaccinated chickens from naturally infected chickens.

Swarmistha Devi Aribam, Momoko Nakayama, Yohsuke Ogawa, Yoshihiro Shimoji, Masahiro Eguchi

Open access · diamondAbstract read
In one paragraph

Article in The Journal of veterinary medical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Swarmistha Devi AribamDivision of Infectious Animal Disease Research, National Institute of Animal Health, NARO, Ibaraki, Japan.
Momoko NakayamaDivision of Infectious Animal Disease Research, National Institute of Animal Health, NARO, Ibaraki, Japan.
Yohsuke OgawaDivision of Infectious Animal Disease Research, National Institute of Animal Health, NARO, Ibaraki, Japan.
Yoshihiro ShimojiDivision of Infectious Animal Disease Research, National Institute of Animal Health, NARO, Ibaraki, Japan.
Masahiro EguchiDivision of Infectious Animal Disease Research, National Institute of Animal Health, NARO, Ibaraki, Japan.
National Institute of Animal Health · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salmonella often causes subclinical infection in chickens, but antibody tests can find infected individuals and control the spread of infection. In this study, the S. Typhimurium-specific outer membrane, β-barrel assembly machinery protein A (BamA), was overexpressed in Escherichia coli and purified as a coating antigen to develop a BamA-based enzyme-linked immuno sorbent assay for detecting Salmonella infection. The presence of anti-BamA IgG was detected in the sera of infected BALB/c mice, but not in that of heat-killed Salmonella-vaccinated mice. The assay was validated using White Leghorn chickens and showed similar results. The detection of BamA antibodies in the sera can differentiate infected chickens from vaccinated chickens. This assay will be useful for monitoring Salmonella infection in chickens and possibly in other animals.

Indexed as

Poultry DiseasesAnimalsBacterial Outer Membrane ProteinsChickensEnzyme-Linked Immunosorbent AssayEscherichia coliMiceSalmonellaBacterial Outer Membrane Proteinsdifferentiate infected from vaccinated animals testinfectionouter membrane protein BamASalmonellavaccine

Identifiers

PMID37316287
PMCPMC10466062
OpenAlexW4380569271

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.