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Immunoproteomic and Immunoinformatic Approaches Identify Sensitive Antigens for Diagnosing Anisakis pegreffii Infection  期刊论文  

  • 编号:
    88998ACB05384FB6BF042ABF05CFB3D9
  • 作者:
    Wang, Xiaoxu[1,2];Zeng, Minhao[2];Cheng, Guofeng(程国锋)[1]
  • 语种:
    英文
  • 期刊:
    ACS INFECTIOUS DISEASES ISSN:2373-8227 2024 年 ; 2024 NOV 4
  • 关键词:
  • 摘要:

    Anisakis are foodborne parasites that opportunistically parasitize humans, leading to acute abdominal symptoms and allergies. Besides gastroscopy, no other diagnostic technique is available. Consequently, it is necessary to identify specific biomarkers and then develop molecular techniques for diagnosing Anisakis infection. In the present study, we used immunoproteomic and immunoinformatic approaches to identify sensitive antigens for diagnosing Anisakis pegreffii infection. A total of three proteins, including Ani609 (VDK51609), Ani941 (VDK75941), and AniS13, were identified based on immunoinformatic results. Then, the indirect ELISA method was developed based on the recombinant proteins, showing a similar diagnostic capability to that of parasitic soluble proteins. Next, a Gaussia luciferase immunoprecipitation assay (LIPS) was further developed upon the fusion of the proteins and Gaussia luciferase. The LIPS method indicated that A. pegreffii infection could be detected in rats as early as 1 week post infection, especially for Ani941. Overall, we identified the novel antigens using immunoproteomic and immunoinformatic approaches and then developed a sensitive method for diagnosing A. pegreffii infection, particularly for the early stage.

  • 推荐引用方式
    GB/T 7714:
    Wang Xiaoxu,Zeng Minhao,Cheng Guofeng, et al. Immunoproteomic and Immunoinformatic Approaches Identify Sensitive Antigens for Diagnosing Anisakis pegreffii Infection [J].ACS INFECTIOUS DISEASES,2024.
  • APA:
    Wang Xiaoxu,Zeng Minhao,Cheng Guofeng.(2024).Immunoproteomic and Immunoinformatic Approaches Identify Sensitive Antigens for Diagnosing Anisakis pegreffii Infection .ACS INFECTIOUS DISEASES.
  • MLA:
    Wang Xiaoxu, et al. "Immunoproteomic and Immunoinformatic Approaches Identify Sensitive Antigens for Diagnosing Anisakis pegreffii Infection" .ACS INFECTIOUS DISEASES(2024).
  • 数据来源自科睿唯安Web of Science核心合集
  • 入库时间:
    2024/12/9 14:32:46
  • 更新时间:
    2024/12/9 14:32:46
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