Evidence map›Paper›PMID 42043640›Full record

ArticleVeterinary research communications2026

Visual and microscopic lesions of enteritis in slaughtered swine: pathogen identification and antimicrobial resistance implications.

Luisa Zasso Neis, Rogério Oliveira Rodrigues, Angélica Cavalheiro Bertagnolli, Karine Ludwig Takeuti, Fabiana Quoos Mayer

Abstract read
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Article in Veterinary research communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Luisa Zasso NeisPrograma de Pós-Graduação em Saúde Animal, Instituto de Pesquisas Veterinárias Desidério Finamor, Eldorado Do Sul, Rio Grande do Sul, 92990-000, Brazil.
Rogério Oliveira RodriguesPrograma de Pós-Graduação em Saúde Animal, Instituto de Pesquisas Veterinárias Desidério Finamor, Eldorado Do Sul, Rio Grande do Sul, 92990-000, Brazil.
Angélica Cavalheiro BertagnolliPrograma de Pós-Graduação em Saúde Animal, Instituto de Pesquisas Veterinárias Desidério Finamor, Eldorado Do Sul, Rio Grande do Sul, 92990-000, Brazil.
Karine Ludwig TakeutiUniversidade Feevale, Novo Hamburgo, Rio Grande Do Sul, Brazil.
Fabiana Quoos MayerPrograma de Pós-Graduação em Saúde Animal, Instituto de Pesquisas Veterinárias Desidério Finamor, Eldorado Do Sul, Rio Grande do Sul, 92990-000, Brazil. fabiana.mayer@ufrgs.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient, high-quality production is essential to the swine industry, with carcass inspection by health authorities playing a crucial role in detecting abnormalities that may lead to condemnation, including enteritis. Enteritis is, usually, characterized by changes in color, mucosal integrity, intestinal wall thickness and luminal contents and has a multifactorial etiology. This study assessed and classified visual lesions attributed to enteritis and to seek for associations with known pathogens. A scoring system was applied to classify visual changes, and 30 condemned intestines were categorized as mild (< 10 points), moderate (11-20 points), or severe (> 20 points). Laboratory analyses included histopathology; isolation and antimicrobial susceptibility testing of Escherichia coli and Salmonella spp.; and molecular detection of porcine circovirus type 2 (PCV2), Lawsonia intracellularis, Brachyspira pilosicoli, and Brachyspira hyodysenteriae. Lesions were classified as mild (23%), moderate (57%), and severe (20%). PCV2 and L. intracellularis DNA were detected in 60% and 23% of samples, respectively. E. coli was isolated from 57% of intestines, of which 87% exhibited antimicrobial resistance and 56% were multidrug-resistant. No samples tested positive for Salmonella spp., B. pilosicoli, or B. hyodysenteriae. Lower condemnation scores were associated with the presence of PCV2 DNA, mild lesions, and lymph nodes showing necrosis and follicular depletion. Mild lesions were also associated with a lower frequency of multidrug-resistant E. coli. The high prevalence of antimicrobial resistance is concerning from a One Health perspective. These findings underscore the importance of pathogen monitoring, antimicrobial stewardship, and strong animal welfare practices within the swine production chain.

Indexed as

Drug Resistance, BacterialEnteritisSwine DiseasesAbattoirsAnimalsAnti-Bacterial AgentsBrachyspiraCircovirusEscherichia coliLawsonia BacteriaMicrobial Sensitivity TestsSalmonellaSwineAnti-Bacterial AgentsE. coliLesion classificationL. intracellularisOne healthPCV2Pork carcasses

Identifiers

PMID42043640
PMCPMC13121305

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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.