从传统动物实验到新一代替代技术:机遇与挑战并存
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国家自然科学基金(32471286,31700923),上海市自然科学基金(23ZR147700)


From traditional animal experiments to new generation alternative technologies: opportunities and challenges
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Supported by National Natural Science Foundation of China (32471286, 31700923) and Natural Science Foundation of Shanghai (23ZR147700).

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    摘要:

    当前生物医药研究正处于从传统动物实验向动物实验与新替代技术共存的多元化体系转型的关键时期。传统动物实验对推动人类健康事业发展起着至关重要的作用,但随着科技进步与人文理念发展,动物模型存在的物种间生物学差异、研发效率偏低、成本较高、伦理争议等短板日益凸显。在此背景下,类器官、器官芯片等体外仿生模型与人工智能驱动的虚拟模型等新型替代技术凭借贴合人体生理病理特征、实验通量高等优势成为生物医药研究的新兴助力,但类器官标准化质量控制体系的建立、虚拟模型数据偶联与算法可解释性的优化以及风险控制盲区的全覆盖等方面仍存在诸多待解难题。本文在系统分析传统动物实验优势与局限性的基础上,探讨类器官、器官芯片、虚拟模型等替代技术在弥补传统动物模型局限性中的价值以及未来发展面临的挑战,为促进多元化模型研究技术融合发展、助力人类健康事业进步提供参考。

    Abstract:

    Biomedical research is currently in a critical period of transition from traditional animal experiments toward a diversified system combining animal experiments and novel alternative technologies. Conventional animal experiments have historically played a pivotal role in advancing human health. However, with advances in science and technology and evolving ethical considerations, their limitations, including interspecies biological differences, low R&D efficiency, high costs, and ethical controversies, have become increasingly prominent. In this context, emerging alternative technologies such as in vitro biomimetic models (e.g., organoids and organ-on-a-chip systems) and artificial intelligence-driven virtual models have shown great promise in biomedical research, offering advantages such as high physiological and pathological fidelity to human systems and high experimental throughput. Nevertheless, significant challenges remain to be addressed, including the establishment of standardized quality control systems for organoids, optimization of data integration and algorithm interpretability in virtual models, and identification of unaddressed risks. Based on a systematic analysis of the advantages and limitations of traditional animal experiments, this paper explores the value of organoids, organ-on-a-chip systems, and virtual models in addressing the limitations of conventional animal models and the challenges they face in future development, so as to promote the integration and advancement of research technologies based on diverse models and contribute to the advancement of human health.

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  • 收稿日期:2026-03-28
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  • 在线发布日期: 2026-09-21
  • 出版日期: 2026-09-20
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