Evidence map›Paper›PMID 41204372›Full record

ArticlePorcine health management2025

Disease-associated Streptococcus suis (DASS) in lactation: detection patterns and implications for control.

Robert Mugabi, Ana Paula S Poeta Silva, Cara Haden, Jerry Wells, Gemma G R Murray, Alex Gussak, Marisa L Rotolo, Todd Williams, Marcelo Gottschalk, Cameron Schmitt and 12 more

Abstract read
In one paragraph

Article in Porcine health management, 2025. 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
–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

1 citing paper in PubMed.

  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

22 authors.

Robert MugabiVeterinary Diagnostic and Population Animal Medicine, Iowa State University, Ames, IA, USA. rmugabi@iastate.edu.
Ana Paula S Poeta SilvaVeterinary Diagnostic and Population Animal Medicine, Iowa State University, Ames, IA, USA.
Cara HadenPipestone Veterinary Services, Pipestone, MN, USA.
Jerry WellsHost-Microbe Interactomics Group, Animal Sciences Department, Wageningen University, Wageningen, Netherlands.
Gemma G R MurrayDepartment of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK.
Alex GussakHost-Microbe Interactomics Group, Animal Sciences Department, Wageningen University, Wageningen, Netherlands.
Marisa L RotoloNational Pork Board, Des Moines, IA, USA.
Todd WilliamsPipestone Veterinary Services, Pipestone, MN, USA.
Marcelo GottschalkGroupe de Recherche sur les Maladies Infectieuses du Porc, Faculté de médecine vétérinaire, Université de Montréal, Montréal, Canada.
Cameron SchmittPipestone Veterinary Services, Pipestone, MN, USA.
Maria Laura FerrandoHost-Microbe Interactomics Group, Animal Sciences Department, Wageningen University, Wageningen, Netherlands.
Peter van BaarlenHost-Microbe Interactomics Group, Animal Sciences Department, Wageningen University, Wageningen, Netherlands.
Justin BrownVeterinary Diagnostic and Population Animal Medicine, Iowa State University, Ames, IA, USA.
Lucy WeinertDepartment of Veterinary Medicine, University of Cambridge, Cambridge, CB3 0ES, UK.
Christopher RademacherVeterinary Diagnostic and Population Animal Medicine, Iowa State University, Ames, IA, USA.
Ganwu LiVeterinary Diagnostic and Population Animal Medicine, Iowa State University, Ames, IA, USA.
Rebecca RobbinsPIC®, Hendersonville, TN, USA.
Jean Paul CanoServicios Integrales Veterinarios, Sant Cugat del Valles, Barcelona, Spain.
Locke KarrikerVeterinary Diagnostic and Population Animal Medicine, Iowa State University, Ames, IA, USA.
Perry HarmsPIC®, Hendersonville, TN, USA.
Alexander W Tucker *Department of Veterinary Medicine, University of Cambridge, Cambridge, CB3 0ES, UK.
Maria J Clavijo *Veterinary Diagnostic and Population Animal Medicine, Iowa State University, Ames, IA, USA. mclavijo@iastate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisease-associated Streptococcus suis (DASS) refers to strains of S. suis that cause systemic infections in swine, including meningitis, septicemia, and pneumonia, resulting in significant economic losses and welfare concerns. Effective control of DASS on swine farms requires accurately detecting these pathogenic strains and identifying carrier animals and reservoirs. In this study, the dynamics of DASS colonization in clinically healthy dams, their piglets, and the surrounding environment was investigated on two commercial swine farms using novel qPCR assays: one targeting the recN gene (species-specific) and another targeting the SSU_RS01130 gene (associated with disease-causing strains). The objectives were to identify optimal sampling sites, assess the impact of dam parity, and understand the disease dynamics of DASS to provide a baseline for future studies to improve control strategies.

resultsGilts and their piglets consistently exhibited higher DASS colonization compared to sows, underscoring the need for parity-based interventions. Tonsil and nasal samples were the most reliable for DASS detection in dams, while udder, fecal, and the environmental sites may serve as potential reservoirs for piglet colonization. All piglets were colonized with S. suis within 24 h of birth, but not all carried DASS; notably, a substantial proportion, particularly on Farm 1, remained DASS-negative at weaning. DASS detection in piglets decreased at day 7 and rebounded by day 21, reflecting dynamic colonization patterns. Farm-specific differences highlighted the impact of management practices and strain variation, with Farm 2 showing consistently higher DASS prevalence and persistence. Notably, the consistent absence of DASS in some litters suggests that targeted management, good hygiene, and dam-related factors such as parity can effectively reduce transmission risk.

conclusionThis study highlights how parity, sampling site selection, and environmental reservoirs may influence DASS colonization and persistence. This study generated valuable data that can inform future investigations aimed at improving DASS control strategies, including parity segregation, batch farrowing, maternal immunity enhancement, improved colostrum management, and hygiene protocols. Additionally, the findings support the potential refinement of Medicated Early Weaning (MEW) strategies, integrating antimicrobial use, hygiene improvements, and dam-focused interventions to reduce DASS prevalence. The novel qPCR assays offer a reliable, culture-independent surveillance tool for DASS detection, enabling veterinarians to develop evidence-based programs for early detection of, and to mitigate the impact of DASS in swine herds.

Indexed as

Colonization dynamicsDisease-associated Streptococcus suisMedicated early weaningParity effectqPCRStreptococcus suisSwine

Identifiers

PMID41204372
PMCPMC12595806

What Socratic 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 Socratic graph.