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噬菌体展示技术来源的抗内毒素 A 和 B 单克隆抗体可特异性检测 。

Phage Display-Derived Monoclonal Antibodies Against Internalins A and B Allow Specific Detection of .

机构信息

Technische Universität Braunschweig, Institut für Biochemie, Biotechnologie und Bioinformatik, Abteilung Biotechnologie, Braunschweig, Germany.

Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.

出版信息

Front Public Health. 2022 Mar 15;10:712657. doi: 10.3389/fpubh.2022.712657. eCollection 2022.

DOI:10.3389/fpubh.2022.712657
PMID:35372200
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8964528/
Abstract

is the causative agent of listeriosis, a highly lethal disease initiated after the ingestion of -contaminated food. This species comprises different serovars, from which 4b, 1/2a, and 1/2b cause most of the infections. Among the different proteins involved in pathogenesis, the internalins A (InlA) and B (InlB) are the best characterized, since they play a major role in the enterocyte entry of cells during early infection. Due to their covalent attachment to the cell wall and location on the bacterial surface, along with their exclusive presence in the pathogenic , these proteins are also used as detection targets for this species. Even though huge advancements were achieved in the enrichment steps for subsequent detection, few studies have focused on the improvement of the antibodies for immunodetection. In the present study, recombinant InlA and InlB produced in were used as targets to generate antibodies via phage display using the human naïve antibody libraries HAL9 and HAL10. A set of five recombinant antibodies (four against InlA, and one against InlB) were produced in scFv-Fc format and tested in indirect ELISA against a panel of 19 strains (17 species; including the three main serovars of ) and 16 non- species. All five antibodies were able to recognize with 100% sensitivity (CI 29.24-100.0) and specificity (CI 88.78-100.0) in all three analyzed antibody concentrations. These findings show that phage display-derived antibodies can improve the biological tools to develop better immunodiagnostics for .

摘要

李斯特菌是李斯特菌病的病原体,这种高致命性疾病是在摄入受污染的食物后引发的。该物种包含不同的血清型,其中 4b、1/2a 和 1/2b 引起了大部分感染。在参与发病机制的不同蛋白质中,内毒素 A (InlA) 和 B (InlB) 是研究得最透彻的,因为它们在早期感染期间在肠细胞进入细胞中起主要作用。由于它们与细胞壁共价结合并位于细菌表面,以及它们在致病性中唯一存在,这些蛋白质也被用作该物种的检测靶标。尽管在随后的检测富集步骤中取得了巨大进展,但很少有研究关注免疫检测用抗体的改进。在本研究中,使用在 中产生的重组 InlA 和 InlB 作为靶标,通过噬菌体展示技术使用人类 naive 抗体库 HAL9 和 HAL10 生成抗体。以 scFv-Fc 形式产生了一组五重重组抗体(四种针对 InlA,一种针对 InlB),并在间接 ELISA 中针对 19 株 (17 个种;包括李斯特菌的三个主要血清型)和 16 株非种进行了测试。所有五种抗体均能够以 100%的敏感性(CI 29.24-100.0)和特异性(CI 88.78-100.0)识别所有三种分析浓度的 。这些发现表明,噬菌体展示衍生的抗体可以改善生物工具,为李斯特菌开发更好的免疫诊断方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50bf/8964528/4c5a2a37e3ed/fpubh-10-712657-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50bf/8964528/902a7e6fc0cb/fpubh-10-712657-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50bf/8964528/4c5a2a37e3ed/fpubh-10-712657-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50bf/8964528/902a7e6fc0cb/fpubh-10-712657-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50bf/8964528/4c5a2a37e3ed/fpubh-10-712657-g0002.jpg

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Front Cell Infect Microbiol. 2021 Jul 7;11:697876. doi: 10.3389/fcimb.2021.697876. eCollection 2021.
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Animal Immunization, in Vitro Display Technologies, and Machine Learning for Antibody Discovery.动物免疫、体外展示技术和机器学习在抗体发现中的应用。
Trends Biotechnol. 2021 Dec;39(12):1263-1273. doi: 10.1016/j.tibtech.2021.03.003. Epub 2021 Mar 25.
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Emergence of Antibiotic Resistance in Listeria monocytogenes Isolated from Food Products: A Comprehensive Review.
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