Development of a Broad-Spectrum Antigen-Capture ELISA Using Combined Anti-p26 Polyclonal and Monoclonal Antibodies for Detection of Equine Infectious Anemia Virus
文献类型: 外文期刊
作者: Liang, Haibing 1 ; Zhou, Bingqian 1 ; Hu, Zhe 1 ; Chu, Xiaoyu 1 ; Wang, Xuefeng 1 ; Du, Cheng 1 ; Wang, Xiaojun 1 ;
作者机构: 1.Chinese Acad Agr Sci, Harbin Vet Res Inst, State Key Lab Anim Dis Control & Prevent, Harbin 150069, Peoples R China
2.Chinese Acad Agr Sci, Inst Western Agr, Changji 831100, Peoples R China
关键词: EIAV; AC-ELISA; p26
期刊名称:MICROORGANISMS ( 影响因子:4.2; 五年影响因子:4.6 )
ISSN:
年卷期: 2025 年 13 卷 7 期
页码:
收录情况: SCI
摘要: Equine Infectious Anemia Virus (EIAV) poses significant diagnostic challenges due to its genetic variability and the limitations of conventional nucleic acid detection methods. This study developed an antigen-capture, enzyme-linked immunosorbent assay (AC-ELISA) for the detection and quantification of the EIAV capsid protein p26. The assay utilized a monoclonal antibody (1G11) specific to the p26 protein as the capture antibody and a polyclonal antibody as the detection antibody, forming a highly specific and sensitive detection system. Under optimized conditions, the detection limit of the AC-ELISA was 1.95 ng/mL, with a good linear relationship observed between 1.95 ng/mL and 60.5 ng/mL of p26 protein. Additionally, the AC-ELISA effectively distinguished EIAV from other equine viruses, including equine herpesvirus 1 (EHV-1), equine arteritis virus (EAV), and equine influenza virus (EIV), without cross-reactivity. Importantly, the AC-ELISA demonstrated the ability to detect multiple EIAV strains, including virulent strains, attenuated strains, and strains from other countries, highlighting its broad applicability across diverse EIAV isolates. Compared to western blot and reverse transcriptase assays, the AC-ELISA exhibited higher sensitivity and strong correlation in quantifying the EIAV p26 protein. The assay is simple, rapid, and cost-effective, making it suitable for both laboratory research and clinical applications. It provides a powerful tool for EIAV detection and quantification, supporting future vaccine development and clinical trials.
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