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pmid:40234672

Blood proteome profiling for biomarker discovery in broilers with necrotic enteritis.

Svitlana Tretiak · Teresa Mendes Maia · Delphi Van Haver · An Staes · Simon Devos · Tom Rijsselaere · Evy Goossens · Filip Van Immerseel · Francis Impens · Gunther Antonissen

Scientific reports · 2025 doi:10.1038/s41598-025-97783-w

Paper

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Blood proteome profiling for biomarker discovery in broilers with necrotic enteritis.
doi
10.1038/s41598-025-97783-w
pmid
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[0]
Svitlana Tretiak
[1]
Teresa Mendes Maia
[2]
Delphi Van Haver
[3]
An Staes
[4]
Simon Devos
[5]
Tom Rijsselaere
[6]
Evy Goossens
[7]
Filip Van Immerseel
[8]
Francis Impens
[9]
Gunther Antonissen
journal
Scientific reports
year
2025
abstract
Analysis of the blood proteome allows identification of proteins related to changes upon certain physiological conditions. The pathophysiology of necrotic enteritis (NE) has been extensively studied. While intestinal changes have been very well documented, data addressing NE-induced alterations in the blood proteome are scant, although these might have merit in diagnostics. In light of recent technological advancements in proteomics and pressing need for tools to access gut health, the current study employs mass-spectrometry (MS)-based proteomics to identify biomarkers for gastrointestinal health of chickens. Here, we report findings of an untargeted proteomics investigation conducted on blood plasma in chickens under NE challenge. Two MS-strategies were used for analysis: conventional data dependent acquisition coupled to standard nanoflow liquid chromatography (LC) (nano-DDA) and recently-developed data independent acquisition coupled to an Evosep One LC system (Evo-DIA). Despite superior completeness and quantification of the Evo-DIA-acquired data, high degree of agreement in identification and quantification was observed between both approaches. Additionally, we identified 15 differentially expressed proteins (shared by nano-DDA and Evo-DIA) that represent responses of animals to infection and may serve as potential biomarkers. Experimental validation through ELISA immunoassays and targeted MS for selected regulated proteins (CFD, HPS5, and MASP2) confirmed medium-to-high levels of inter-protein correlation. A GSEA analysis revealed enrichment in a number of processes related to adaptive and humoral immunity, immune activation and response in infected animals. Data are available via ProteomeXchange with identifiers PXD050461, PXD050473, and PXD061607.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40234672", "kind": "science-record", "revision": 4, "content_hash": "sha256:2d784d6fa32d611216bb1876048c8020f283c1843ecdb876334e0a3a37935638", "created_at": "2026-11-01T20:30:23Z", "updated_at": "2026-11-01T22:56:22Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Blood proteome profiling for biomarker discovery in broilers with necrotic enteritis.", "doi": "10.1038/s41598-025-97783-w", "pmid": "40234672", "authors": ["Svitlana Tretiak", "Teresa Mendes Maia", "Delphi Van Haver", "An Staes", "Simon Devos", "Tom Rijsselaere", "Evy Goossens", "Filip Van Immerseel", "Francis Impens", "Gunther Antonissen"], "journal": "Scientific reports", "year": 2025, "abstract": "Analysis of the blood proteome allows identification of proteins related to changes upon certain physiological conditions. The pathophysiology of necrotic enteritis (NE) has been extensively studied. While intestinal changes have been very well documented, data addressing NE-induced alterations in the blood proteome are scant, although these might have merit in diagnostics. In light of recent technological advancements in proteomics and pressing need for tools to access gut health, the current study employs mass-spectrometry (MS)-based proteomics to identify biomarkers for gastrointestinal health of chickens. Here, we report findings of an untargeted proteomics investigation conducted on blood plasma in chickens under NE challenge. Two MS-strategies were used for analysis: conventional data dependent acquisition coupled to standard nanoflow liquid chromatography (LC) (nano-DDA) and recently-developed data independent acquisition coupled to an Evosep One LC system (Evo-DIA). Despite superior completeness and quantification of the Evo-DIA-acquired data, high degree of agreement in identification and quantification was observed between both approaches. Additionally, we identified 15 differentially expressed proteins (shared by nano-DDA and Evo-DIA) that represent responses of animals to infection and may serve as potential biomarkers. Experimental validation through ELISA immunoassays and targeted MS for selected regulated proteins (CFD, HPS5, and MASP2) confirmed medium-to-high levels of inter-protein correlation. A GSEA analysis revealed enrichment in a number of processes related to adaptive and humoral immunity, immune activation and response in infected animals. 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Materials and methods Experimental design: in vivo necrotic enteritis model In the current stud"], "order_basis": "paper_text_order:8908", "id": "assay:2"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["ostridium perfringens type G strain CP56 was cultured in BHI broth (Sigma Aldrich, St. Louis, Missour"], "order_basis": "paper_text_order:10098", "id": "assay:3"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["To highlight significant changes in protein levels between control and NE animals, statistical testing was performed with limma39."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}