Identification of metabolite biomarkers in Salmonella enteritidis-contaminated chickens using UHPLC-QTRAP-MS-based targeted metabolomics

Lan Chen; Tao Zhang; Hao Ding; Xing Xie; Yali Zhu; Guojun Dai; Yushi Gao; Genxi Zhang; Kaizhou Xie

doi:10.1016/j.fochx.2023.100966

Identification of metabolite biomarkers in Salmonella enteritidis-contaminated chickens using UHPLC-QTRAP-MS-based targeted metabolomics

Food Chem X. 2023 Oct 27:20:100966. doi: 10.1016/j.fochx.2023.100966. eCollection 2023 Dec 30.

Authors

Lan Chen^{1

2

3}, Tao Zhang^{4

2}, Hao Ding^{1

2}, Xing Xie⁵, Yali Zhu^{4

2}, Guojun Dai^{4

2}, Yushi Gao^{1

5}, Genxi Zhang^{4

2}, Kaizhou Xie^{1

4

2}

Affiliations

¹ College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China.
² Joint International Research Laboratory of Agriculture & Agri-Product Safety of MOE, Yangzhou University, Yangzhou 225009, China.
³ Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou 225009, China.
⁴ College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
⁵ Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing 210000 China.

Abstract

This study aimed to characterize the metabolic profile of Salmonella enteritidis (S. enteritidis) in chicken matrix and to identify metabolic biomarkers of S. enteritidis in chicken. The UHPLC-QTRAP-MS high-throughput targeted metabolomics approach was employed to analyze the metabolic profiles of contaminated and control group chickens. A total of 348 metabolites were quantified, and the application of deep learning least absolute shrinkage and selection operator (LASSO) modelling analysis obtained eight potential metabolite biomarkers for S. enteritidis. Metabolic abundance change analysis revealed significantly enriched abundances of anthranilic acid, l-pyroglutamic acid, 5-hydroxylysine, n,n-dimethylarginine, 4-hydroxybenzoic acid, and menatetrenone in contaminated chicken samples. The receiver operating characteristic (ROC) curve analysis demonstrated the strong ability of these six metabolites as biomarkers to distinguish S. enteritidis contaminated and fresh chicken samples. The findings presented in this study offer a theoretical foundation for developing an innovative approach to identify and detect foodborne contamination caused by S. enteritidis.

Keywords: Chicken; Metabolite biomarkers; S. enteritidis; UHPLC-QTRAP-MS.