Development and evaluation of novel Brucella diagnostic antigen protein ST
Year: 2025
Type: article
Abstract: BACKGROUND: Brucellosis continues to pose a significant zoonotic challenge, necessitating the development of improved diagnostic solutions. This study innovatively integrates bioinformatics predictions with prokaryotic expression techniques to create novel diagnostic antigens for the detection of Brucella melitensis. METHODS: Our study systematically analyzed four outer membrane proteins (OMP10, OMP25, VirB8, and VirB10). B-cell epitope prediction was conducted using the IEDB and ABCpred algorithms. A chimeric antigen was designed by fusing these four proteins in the sequence OMP10-OMP25-VirB8-VirB10. The recombinant protein was expressed in E. coli BL21(DE3) and purified using nickel-affinity chromatography. The diagnostic performance of the purified chimeric antigen was evaluated through indirect ELISA, utilizing 180 brucellosis sera, 20 healthy control sera, and 88 sera from other infections. RESULTS: In our study, we successfully predicted and designed a novel recombinant Brucella diagnostic antigen protein, named OMP10-OMP25-VirB8-VirB10, referred to as the ST protein. We assessed its performance as a serological diagnostic biomarker for brucellosis using the indirect enzyme-linked immunosorbent assay. The results demonstrated that the ST protein exhibited a detection sensitivity of 98.33% and a specificity of 85.22%, with an AUC value of 0.9802. CONCLUSION: The ST protein, a fusion of four proteins derived from Brucella, demonstrates significant diagnostic potential in ELISA, offering a novel approach for the accurate diagnosis of brucellosis. This discovery provides an innovative perspective for enhancing early brucellosis screening in endemic regions. CLINICAL TRIAL: Not applicable.
Source: BMC Infectious Diseases
Authors: Juan Shi, Tingting Tian, Xinxin Qi, Huidong Shi, Kaiyu Shang, Zhengwei Yin, Jianbing Ding, Ruixue Xu, Fuling Pu, Mingzhe Li, Junyu Kuang, Yuejie Zhu, Fengbo Zhang
Language: English
Subfield: Small Animals
Field: Veterinary
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,090
Award: G2870116086
OpenAlex ID: W4417522702
