Preparation and application of a Brucella multiepitope fusion protein based on bioinformatics and Tandem Mass Tag-based proteomics technology

被引:0
|
作者
Wu, Qi [1 ]
Yuan, Yuan [2 ]
Guo, Liping [1 ]
Xie, Yujia [1 ]
Yao, Meixue [1 ]
Yin, Dehui [1 ,3 ,4 ,5 ]
机构
[1] Xuzhou Med Univ, Jiangsu Engn Res Ctr Biol Data Min & Healthcare Tr, Xuzhou, Peoples R China
[2] Jinan Univ, Zhuhai Peoples Hosp, Affiliated Hosp, Beijing Inst Technol,Zhuhai Clin Med Coll, Zhuhai, Peoples R China
[3] Xuzhou Med Univ, Key Lab Human Genet & Environm Med, Xuzhou, Peoples R China
[4] Xuzhou Med Univ, Xuzhou Engn Res Innovat Ctr Biol Data Min & Health, Xuzhou, Peoples R China
[5] Xuzhou Med Univ, Ctr Med Stat & Data Anal, Xuzhou, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2025年 / 15卷
关键词
brucellosis; diagnosis; multiepitope fusion protein; bioinformatics; proteomics; IMMUNE-RESPONSES; BALB/C MICE; PROTECTION; CANDIDATE; DIAGNOSIS; ANTIGENS; GROEL;
D O I
10.3389/fimmu.2024.1509534
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Introduction Brucellosis is a widespread zoonotic disease that poses a considerable challenge to global public health. Existing diagnostic methods for this condition, such as serological assays and bacterial culture, encounter difficulties due to their limited specificity and high operational complexity. Therefore, there is an urgent need for the development of enhanced diagnostic approaches for brucellosis.Methods Tandem mass tag (TMT) proteomic analysis was conducted on the wild-type strain Brucella abortus (B. abortus) DT21 and the vaccine strain B. abortus A19 to identify proteins with high expression levels. The proteins that exhibited high expression in the wild-type strain were selected based on the proteomic results. Subsequently, B-cell linear epitopes were predicted using multiple computational tools, including ABCpred, SVMTriP, BCPred, and Bepipred Linear Epitope Prediction 2.0. These epitopes were concatenated to construct a multiepitope fusion protein. Following prokaryotic expression and purification, an indirect enzyme-linked immunosorbent assay (iELISA) was developed. A total of 100 positive serum samples, 96 negative serum samples, and 40 serum samples from patients infected with other pathogens were collected and analyzed using the established iELISA. Furthermore, the protein was assessed for its capability to differentiate human brucellosis from lipopolysaccharide (LPS).Results Proteomic analysis revealed the presence of 152 proteins with high expression levels in the wild-type strains. A multiepitope fusion protein, comprising a total of 32 predicted B-cell linear epitopes, was successfully prepared. The results from the iELISA indicated that the multiepitope fusion protein exhibited exceptional diagnostic performance, evidenced by an area under the receiver operating characteristic curve (AUC) of 0.9576, a sensitivity of 0.9300, and a specificity of 0.8542. In comparison to the commonly utilized LPS antigen, the fusion protein demonstrated a reduced level of cross-reactivity.Conclusions A novel multiepitope fusion protein has been successfully developed utilizing bioinformatics and TMT proteomics technology. This fusion protein demonstrates significant potential as a diagnostic antigen for brucellosis, exhibiting high sensitivity and specificity.
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页数:10
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