Evidence map›Paper›PMID 42401984›Full record

ArticleAnimal microbiome2026

Integrated metabolomics and metagenomics reveal divergent caecal metabolic signatures following commercial gut health interventions in broilers.

Gladys Maria Pangga, Anne Richmond, Callie Hughes, Androniki Psifidi, Dong Xia, Damer Blake, Umer Zeeshan Ijaz, Ozan Gundogdu

Abstract read
In one paragraph

Article in Animal microbiome, 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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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Gladys Maria PanggaLondon School of Hygiene & Tropical Medicine, London, UK.
Anne RichmondPilgrim's Europe Ltd, Craigavon, UK.
Callie HughesPilgrim's Europe Ltd, Craigavon, UK.
Androniki PsifidiRoyal Veterinary College, London, UK.
Dong XiaRoyal Veterinary College, London, UK.
Damer BlakeRoyal Veterinary College, London, UK.
Umer Zeeshan IjazUniversity of Glasgow, Glasgow, UK. umer.ijaz@glasgow.ac.uk.
Ozan GundogduLondon School of Hygiene & Tropical Medicine, London, UK. ozan.gundogdu@lshtm.ac.uk.

Funding

Engineering and Physical Sciences Research Council EP/V030515/1
6 · The paper itself

Abstract

backgroundThe intensification of food production systems highlights the need for poultry gut health strategies aligned with One Health goals. Central to this is a balanced gut microbiota, which supports nutrient absorption, immunity, and disease resilience.

resultsWe applied integrative multi-omics, combining untargeted LC-MS metabolomics and shotgun metagenomics, to explore the caecal responses of commercial Ross-308 broilers to two widely used gut health interventions: ionophore supplementation (T1) and anticoccidial vaccination (T2). Across 7,554 detected metabolites, we identified candidate metabolic signatures: T1 was marked by trends in prenol lipids, including multiple soyasaponins, and enrichment of cellular stress-related pathways (e.g. glutathione pathway). T2 instead was associated with shifts in aromatic amino acid metabolism, elevating tryptophan-derived indoles such as 5-methoxyindole. While global metabolic profiles did not differ significantly (PERMANOVA p > 0.05), supervised integration (DIABLO algorithm) identified 405 potential metabolite-MAG correlations. Bacteroides fragilis emerged as a dominant associate, correlating positively with a diverse range of metabolites (n = 271). Functional gene analysis suggested a link between Mediterraneibacter spp. and soyasaponin deglycosylation, while Ruminococcaceae UBA3818 showed genomic potential for tryptophan utilisation and indole-linked metabolic steps.

conclusionOur exploratory findings suggest that prophylactic interventions impact the gut microbiome, resulting in divergent subsets of metabolic features. This highlights the potential of microbiome-informed strategies to improve enteric disease management and advance gut health centred approaches in both veterinary and human contexts.

Indexed as

CoccidiosisEimeria vaccinationIntegrative omicsIonophorePoultry gut healthUntargeted metabolomics

Identifiers

PMID42401984
PMCPMC13621688

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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.