← 返回前沿论文

抗体类药物用于疾病治疗的技术进展

英文原题:Technological advancements in antibody-based therapeutics for treatment of diseases.

PubMed 2025/11/12(内容时间) J Biomed Sci Q1 · IF 14.5(JCR 2025)

研究概要

这些方面共同塑造了治疗性抗体领域充满活力且多学科交叉的未来,该领域有望满足未满足的临床需求和全球卫生优先事项。

中文摘要

单克隆抗体(mAbs)是一类主要的治疗药物,在肿瘤学、免疫学、血液学、神经学和感染性疾病中具有广泛的临床应用。自1975年杂交瘤技术问世以来,该领域通过一系列创新不断推进,包括嵌合和人源化抗体工程、噬菌体展示、转基因小鼠平台以及高通量单B细胞分离。这些技术发展提高了mAbs的特异性、效力和安全性,截至2025年8月,已有144种FDA批准的抗体药物上市,全球有1,516种候选药物处于临床开发阶段。工程学突破催生了基于抗体的新型治疗模式,如抗体药物偶联物(ADCs)、双特异性抗体(bsAbs)和CAR-T(CAR-T)细胞疗法。这些模式中的每一种在多个疾病领域都具有治疗效用。递送策略的最新进展,特别是mRNA-脂质纳米颗粒(LNPs)和抗体导向的体内CAR-T细胞重编程,能够实现精准治疗,同时减少脱靶效应和制造复杂性。人工智能(AI)和机器学习(ML)、下一代测序(NGS)以及结构建模工具的整合进一步加速了抗体发现、亲和力成熟和免疫原性预测,使得更高效和合理的抗体设计成为可能。抗体技术的进步反映在基于抗体的治疗药物的快速市场增长中,2024年全球销售额超过2670亿美元。本综述全面更新了抗体发现平台、治疗形式和市场趋势的最新进展,重点介绍了正在重塑抗体药物格局的新兴策略。此外,我们还讨论了临床转化、监管环境以及工程学、生物学和信息学的整合。这些方面共同塑造了治疗性抗体领域充满活力且多学科交叉的未来,该领域有望满足未满足的临床需求和全球卫生优先事项。

展开英文摘要原文

Monoclonal antibodies (mAbs) represent a major class of therapeutics with widespread clinical applications in oncology, immunology, hematology, neurology and infectious disease. Since the introduction of hybridoma technology in 1975, the field has been advanced by a succession of innovations including chimeric and humanized antibody engineering, phage display, transgenic mouse platforms and high-throughput single B cell isolation. These technological developments have enhanced the specificity, potency and safety of mAbs, resulting in 144 FDA-approved antibody drugs on the market and 1,516 worldwide candidates in clinical development as of August 2025. Engineering breakthroughs have led to new modalities of antibody-based therapeutics, such as antibody-drug conjugates (ADCs), bispecific antibodies (bsAbs), and chimeric antigen receptor T (CAR-T) cell therapies. Each of these modalities has therapeutic utility across multiple disease domains. Recent advances in delivery strategies, notably mRNA-lipid nanoparticles (LNPs) and antibody-directed in vivo CAR-T cell reprogramming, can enable precision therapies while reducing off-target effects and manufacturing complexity. The integration of artificial intelligence (AI) and machine learning (ML), next-generation sequencing (NGS), and structural modeling tools has further accelerated antibody discovery, affinity maturation and immunogenicity prediction, allowing for more efficient and rational antibody design. The advances in antibody technology are reflected in the rapid market growth of antibody-based therapeutics, which had global sales exceeding USD 267 billion in 2024. This review provides a comprehensive update on recent developments in antibody discovery platforms, therapeutic formats and market trends, highlighting emerging strategies that are reshaping the landscape of antibody-based medicine. Furthermore, we discuss clinical translation, regulatory landscapes, and the integration of engineering, biology and informatics. Together, these aspects shape a dynamic and multidisciplinary future for the therapeutic antibody field, which is poised to address unmet clinical needs and global healthcare priorities.

论文信息

作者
Lu RM、Chiang HL、Yuan JP、Wang HH、Chen CY、Panda SS、Liang KH、Peng HP
第一作者单位
Biomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan.Taiwan
通讯作者单位
Biomedical Translation Research Center, Academia Sinica, Taipei, 11571, Taiwan. hcw0928@gate.sinica.edu.tw.Taiwan
文献类型
综述
期刊
Journal of biomedical science2025 Nov 12
原文标识
PubMed 41219972 · DOI 10.1186/s12929-025-01190-2