Evidence map›Paper›PMID 42105246›Full record

ArticleJournal of animal science2026

Evaluating fecal inflammation biomarkers for non-invasive detection of weaning-related intestinal inflammation in piglets.

Júlia Suppi, Eudald Llauradó-Calero, Jaume Coma, Anna Pelegrí-Pineda, Yolanda Saco, Anna Bassols, David Solà-Oriol

Abstract read
In one paragraph

Article in Journal of animal science, 2026. 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
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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.

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

7 authors.

Júlia SuppiAnimal Nutrition and Welfare Service, Department of Animal and Food Sciences, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.
Eudald Llauradó-CaleroAnimal Nutrition and Welfare Service, Department of Animal and Food Sciences, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.ORCID 0000-0003-1644-3116
Jaume ComaVall Companys Group, Lleida, 25191, Spain.
Anna Pelegrí-PinedaVeterinary Clinical Biochemistry Service (SBCV), Department of Biochemistry and Molecular Biology, School of Veterinary, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.
Yolanda SacoVeterinary Clinical Biochemistry Service (SBCV), Department of Biochemistry and Molecular Biology, School of Veterinary, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.
Anna BassolsVeterinary Clinical Biochemistry Service (SBCV), Department of Biochemistry and Molecular Biology, School of Veterinary, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.ORCID 0000-0003-4213-2274
David Solà-OriolAnimal Nutrition and Welfare Service, Department of Animal and Food Sciences, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.ORCID 0000-0001-8365-340X

Funding

Agency for Management of University and Research Grants 2021 SGR00516Agency for Management of University and Research Grants AGAUR, 2021 SGR00642European Union NextGenerationEU/PRTR.NextGenerationEUPrograma Investigo postdoctoral 2023 INV-2 00076Spanish Ministry of Science and Innovation (MCIN) and State Research Agency
6 · The paper itself

Abstract

Post-weaning diarrhea remains a major challenge without noninvasive diagnostic tools. Fecal biomarkers represent a promising alternative, as they reflect gut inflammation without invasive sampling. This study evaluated four biomarkers-calprotectin (fCal), lipocalin-2 (LCN-2), myeloperoxidase (MPO), and adenosine deaminase (ADA)-using a zinc oxide (ZnO) model to assess their value as gut-health indicators in piglets. A total of 384 weaned piglets (23 d) were assigned to two diets: Control and ZnO-supplemented (1 g/kg feed). Piglets were weighed on d 0, 3, 8, and 14. On d 3 and 14, nine average-weight piglets per group were sampled for feces and intestinal tissue. Calprotectin was measured by immunoturbidimetry, MPO byss o-dianisidine oxidation, ADA by enzymatic colorimetry, and LCN-2 by ELISA. Microbiota was analyzed by 16S sequencing and tissues by qPCR and histology. On d 3, ZnO piglets showed fewer intraepithelial lymphocytes (P = 0.062), higher IL-10 expression (P = 0.029), and lower Escherichia-Shigella abundance (P = 0.045). By d 14, they were ∼300 g heavier (P = 0.071), had higher villus-to-crypt ratios (P = 0.026), maintained IL-10 upregulation (P = 0.083), and increased OCLN expression (P < 0.001). Their microbiota shifted toward Odoribacter and Akkermansia (P ≤ 0.002), with reductions in Clostridium sensu stricto 1 (P < 0.001). fCal and LCN-2 were reduced in the ZnO group on d 3 (P ≤ 0.002), but only fCal remained reduced by d 14 (P = 0.012). No diet effects were observed for MPO or ADA (P > 0.05). On d 3, fCal correlated with CRHR1 (R = 0.59, P = 0.025) and negatively with barrier-related genes MUC13 and OCLN (R ≤ -0.50, P ≤ 0.050). MPO tended to correlate with CRHR1, crypt depth (R ≥ 0.44, P ≤ 0.069), and Streptococcus abundance (R = 0.45, P = 0.073). LCN-2 was negatively associated with inflammatory genes, such as TNF-α and NF-κB (R ≤ -0.55, P ≤ 0.041). ADA showed positive trends with potentially pathogenic phyla, such as Campilobacterota (R ≥ 0.43, P ≤ 0.084). By d 14, fCal, LCN-2, and MPO were correlated with immune-related genes (eg TNF-α, TGF-β; R ≥ 0.52, P ≤ 0.071), while ADA was associated with the stress-related gene HSD11B1 (R = 0.74, P = 0.002). Overall, fecal biomarkers were valuable indicators of post-weaning gut inflammation and barrier function. Specifically, fCal was the most consistent, LCN-2 and MPO may serve complementary roles, whereas ADA primarily reflected cellular stress rather than inflammation.

Indexed as

FecesInflammationSwine DiseasesAdenosine DeaminaseAnimalsBiomarkersDietFemaleIntestinesLipocalin-2PeroxidaseSwineWeaningAdenosine DeaminaseBiomarkersLipocalin-2Peroxidaseadenosine deaminasecalprotectingut healthlipocalin-2myeloperoxidaseswine

Identifiers

PMID42105246
PMCPMC13175181

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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.