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Antibody-based alternatives to animal testing for toxin detection and antitoxin evaluation.

作者信息

Chang Seo-Hyuk, Jang Jieun, Yang Wonjun, Lee Nam-Kyung, Choi Seoyeon, Jung Hyo-Il, Kim Wantae, Cha Boksik, Yoon Sung-Jin, Noh Ji-Yoon, Lee Jangwook

机构信息

Biotherapeutics Translational Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.

Department of Biomolecular Science, Korea Research Institute of Bioscience and Biotechnology, School of Bioscience, Korea University of Science and Technology, Daejeon, Republic of Korea.

出版信息

Front Toxicol. 2025 Sep 9;7:1636246. doi: 10.3389/ftox.2025.1636246. eCollection 2025.

DOI:10.3389/ftox.2025.1636246
PMID:40995337
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12454325/
Abstract

Animal experiments have long played a central role in biomedical research and toxicology, yet their limitations in translational accuracy and ethical concerns have intensified the demand for reliable alternatives. Antibody-based technologies are versatile tools used to develop non-animal testing methods capable of detecting toxins and evaluating antitoxins. Enzyme-linked immunosorbent assay and lateral flow assays, among other techniques, have demonstrated high specificity, sensitivity, and reproducibility and are useful in diagnostics, therapeutic development, and as platforms to replace traditional animal assays. Recent developments in systems, including organoids and microphysiological systems, as well as the integration of AI-based models, offer promising directions. Standardization and regulatory acceptance remain key challenges. A coordinated approach can facilitate the development of antibody-based systems to fulfill the goal of the 3Rs.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c7/12454325/b8aaf7830d16/ftox-07-1636246-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c7/12454325/c1b9adcc6625/ftox-07-1636246-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c7/12454325/fc93caf021a9/ftox-07-1636246-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c7/12454325/b8aaf7830d16/ftox-07-1636246-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c7/12454325/c1b9adcc6625/ftox-07-1636246-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c7/12454325/fc93caf021a9/ftox-07-1636246-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4c7/12454325/b8aaf7830d16/ftox-07-1636246-g003.jpg

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本文引用的文献

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Natural toxins and One Health: a review.天然毒素与“同一健康”:综述
Sci One Health. 2023 Mar 7;1:100013. doi: 10.1016/j.soh.2023.100013. eCollection 2022 Nov.
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Deep-learning image analysis for high-throughput screening of opsono-phagocytosis-promoting monoclonal antibodies against Neisseria gonorrhoeae.高通量筛选淋病奈瑟菌促吞噬作用单克隆抗体的深度学习图像分析。
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为何在基础和临床前生物医学研究中选择动物模型或替代方法?一系列与伦理相关的原因及其评估
Animals (Basel). 2024 Feb 18;14(4):651. doi: 10.3390/ani14040651.
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Development of antibody-detection ELISA based on beta-bungarotoxin for evaluation of the neutralization potency of equine plasma against Bungarus multicinctus in Taiwan.基于β-银环蛇毒素的抗体检测 ELISA 的开发,用于评估台湾马血浆对银环蛇的中和效力。
Int J Biol Macromol. 2024 Mar;262(Pt 2):130080. doi: 10.1016/j.ijbiomac.2024.130080. Epub 2024 Feb 13.
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The "Big Three" in biocompatibility testing of medical devices: implementation of alternatives to animal experimentation-are we there yet?医疗器械生物相容性测试中的“三大要点”:动物实验替代方法的实施——我们做到了吗?
Front Toxicol. 2024 Jan 8;5:1337468. doi: 10.3389/ftox.2023.1337468. eCollection 2023.
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De novo design of protein structure and function with RFdiffusion.利用 RFdiffusion 从头设计蛋白质结构和功能。
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