Tretiak Svitlana, Maia Teresa Mendes, Van Haver Delphi, Staes An, Devos Simon, Rijsselaere Tom, Goossens Evy, Van Immerseel Filip, Impens Francis, Antonissen Gunther
Livestock Gut Health Team (LiGHT) Ghent, Department of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, B-9820, Belgium.
Impextraco NV, Wiekevorstsesteenweg 38, Heist-op-den-Berg, 2220, Belgium.
Sci Rep. 2025 Apr 15;15(1):12895. doi: 10.1038/s41598-025-97783-w.
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.
血液蛋白质组分析有助于识别与特定生理条件下变化相关的蛋白质。坏死性肠炎(NE)的病理生理学已得到广泛研究。虽然肠道变化已有详细记录,但关于NE引起的血液蛋白质组改变的数据却很少,尽管这些数据可能在诊断方面具有价值。鉴于蛋白质组学的最新技术进展以及对评估肠道健康工具的迫切需求,本研究采用基于质谱(MS)的蛋白质组学来鉴定鸡胃肠道健康的生物标志物。在此,我们报告了对受NE挑战的鸡血浆进行的非靶向蛋白质组学研究结果。使用了两种MS策略进行分析:传统的数据依赖采集与标准纳流液相色谱(LC)联用(nano-DDA),以及最近开发的数据独立采集与Evosep One LC系统联用(Evo-DIA)。尽管Evo-DIA获得的数据具有更高的完整性和定量性,但两种方法在鉴定和定量方面的一致性很高。此外,我们鉴定出15种差异表达蛋白(nano-DDA和Evo-DIA共有),它们代表了动物对感染的反应,可能作为潜在的生物标志物。通过ELISA免疫测定和针对选定调节蛋白(CFD、HPS5和MASP2)的靶向MS进行的实验验证证实了蛋白间的中到高水平相关性。基因集富集分析(GSEA)显示,感染动物中与适应性和体液免疫、免疫激活及反应相关的多个过程存在富集。数据可通过ProteomeXchange获得,标识符为PXD050461、PXD050473和PXD061607。