Evidence map›Paper›PMID 41150107›Full record

ArticleVeterinary sciences2025

Breed- and Line-Dependent Severity of Inflammation and Necrosis Syndrome in AI Boars, and the Related Risk of Inflammation and Necrosis in Their Progeny.

Sabrina Becker, Eva Kochendoerfer, Josef Kuehling, Katharina Gerhards, Mirjam Lechner, Silvia Zinner, Matthias Lautner, Gerald Reiner

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Feeding of Undocked Pigs: Effects of Feed Components and Feed Composition.Animals : an open access journal from MDPI · 2026
    Review
  4. 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

8 authors.

Sabrina BeckerDepartment of Veterinary Clinical Sciences, Clinic for Swine, Justus-Liebig-University, 35392 Giessen, Germany.
Eva KochendoerferDepartment of Veterinary Clinical Sciences, Clinic for Swine, Justus-Liebig-University, 35392 Giessen, Germany.
Josef KuehlingDepartment of Veterinary Clinical Sciences, Clinic for Swine, Justus-Liebig-University, 35392 Giessen, Germany.
Katharina GerhardsDepartment of Veterinary Clinical Sciences, Clinic for Swine, Justus-Liebig-University, 35392 Giessen, Germany.
Mirjam LechnerUEG Hohenlohe-Franken, Kraussenklinge 1, 97996 Niederstetten, Germany.ORCID 0009-0004-6305-6543
Silvia ZinnerBesamungsverein Neustadt a.d. Aisch e.V., Franz-Ehrsam-Weg 1, 91413 Neustadt an der Aisch, Germany.
Matthias LautnerBesamungsverein Neustadt a.d. Aisch e.V., Franz-Ehrsam-Weg 1, 91413 Neustadt an der Aisch, Germany.
Gerald ReinerDepartment of Veterinary Clinical Sciences, Clinic for Swine, Justus-Liebig-University, 35392 Giessen, Germany.ORCID 0000-0002-4284-0345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal-based measures, such as detecting inflammation in areas like the tail, ears, teats, coronary band, heels and claws (Swine Inflammation and Necrosis Syndrome, SINS), are used to monitor animal health and welfare. When parameters deviate from the established range, these measures enable prompt action to adjust husbandry practices, feeding regimens and management strategies. In addition to environmental factors, genetics have been shown to play a key role in inflammation and necrosis processes, and selection can reduce the severity of the disease. This study examined whether different breeds of AI boar exhibit different signs of SINS and how these signs are associated with SINS in their offspring when they are suckling piglets and weaners. Initially, 286 AI boars of 7 breeds from a German artificial insemination center were evaluated for SINS. The following parameters were assessed: tail base, tail tip, ears, skin, scrotum, coronary bands, heels and claws. Subsequently, 23 Pietrain and Duroc boars were used in combination with a Topigs DL sow line. The progeny of the AI boars was evaluated as suckling and weaned piglets, with the assessment framework encompassing SINS traits. The results revealed significant differences between the breeds and lines, as well as a strong correlation between the SINS phenotypes of the AI boars and the SINS scores of their offspring. The offspring of the 25% most extreme boars exhibited a 17% variation in SINS scores. This association was particularly evident when comparing the boars' tail base. However, the development of the boars' heels and claws was found to be significantly influenced by mechanical environmental factors and not associated with the piglets' scores. These findings imply that heritable, endogenous processes, as proposed for SINS, also visibly impact the phenotype of the AI boar. This study's fundamental premise suggests that pre-selecting AI boars could mitigate the occurrence of SINS and enhance piglet health and welfare.

Indexed as

animal welfareinflammationselectionswine

Identifiers

PMID41150107
PMCPMC12568169

What Socratic holds

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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.