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Wang G, Qi X, Zhao S, Pei Q, Chen Y, Yin D, Zhan T. Preparation of a Brucella multiepitope fusion protein based on bioinformatics and its application in serological diagnosis of human brucellosis. Sci Rep 2025; 15:19106. [PMID: 40447804 DOI: 10.1038/s41598-025-04244-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2025] [Accepted: 05/26/2025] [Indexed: 06/02/2025] Open
Abstract
Brucellosis is a zoonotic infectious disease caused by the Brucella spp., and the enhancement of diagnostic techniques is imperative for effective disease control. Currently, the diagnosis of brucellosis predominantly relies on serological tests, bacterial culture, and molecular biology methods. Among these approaches, serological diagnosis is the most widely utilized due to its relative simplicity. However, existing diagnostic antigens encounter challenges, such as cross-reactivity. Consequently, the development of novel antigens with high specificity and sensitivity is essential to improve the accuracy and efficiency of serological diagnosis for brucellosis. In this study, five antigenic proteins-Erythritol kinase, Nucleoside diphosphate kinase (NDK), Adenosylhomocysteinase, the 31 kDa immunogenic protein, and Lyso-ornithine lipid O-acyltransferase-were selected, and B-cell linear epitopes were predicted using bioinformatics tools. Four prediction tools, namely ABCpred, SVMTriP, BCPred, and Bepipred Linear Epitope Prediction 2.0, were employed to screen for overlapping candidate epitopes. Fusion proteins were constructed through prokaryotic expression to serve as antigens for serological diagnosis. The sensitivity and specificity of the fusion protein were evaluated using indirect ELISA to detect human IgG antibodies in serum samples. The results indicated that the fusion protein achieved sensitivity and specificity values of 0.8095 and 0.9949, respectively. Although these values were lower in comparison to traditional antigens such as lipopolysaccharide (LPS) and the Rose Bengal antigen, the fusion protein exhibited improved cross-reactivity. This study successfully developed a multiepitope fusion protein for the diagnosis of brucellosis, thereby providing a foundation for the creation of highly specific and sensitive diagnostic antigens.
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Affiliation(s)
- Guangyu Wang
- Department of Neurosurgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Xinru Qi
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Shiqi Zhao
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Qichuan Pei
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Yixiao Chen
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Dehui Yin
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Center for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, China.
- School of Public Health, Xuzhou Medical University, No. 209 Tongshan Road, Xuzhou, 221004, China.
| | - Tiansong Zhan
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
- Center for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, China.
- School of Public Health, Xuzhou Medical University, No. 209 Tongshan Road, Xuzhou, 221004, China.
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