Deng Keqiang, Zhang Yihang, Jiang Wenyu, Duan Yuxin, Gao Mei, Zeng Min, Chen Jiehao, Chen Xiaoting, Fan Zhen, Yang Chengli, Zhou Kai
West China School of Medicine, Sichuan University, 610040, Chengdu, PR China.
Animal Experiment Center, West China Hospital/West China School of Medicine, Sichuan University, 610040, Chengdu, PR China.
Mater Today Bio. 2025 Nov 24;35:102573. doi: 10.1016/j.mtbio.2025.102573. eCollection 2025 Dec.
Cellular metabolic dysregulation is a core driver of major diseases, including cancer, neurodegenerative disorders, and cardiovascular conditions. However, conventional interventions such as small-molecule drugs and gene editing are hampered by off-target effects, delivery challenges, and a lack of spatiotemporal precision, resulting in a failure to effectively reengineer pathological metabolic networks. Artificial organelles, constructed via a "bottom-up" bioinspired approach, represent a paradigm shift from systemic intervention to "metabolic system reconstruction," offering a revolutionary strategy to precisely mimic, repair, or augment specific metabolic functions at the subcellular level. Here, we systematically review recent advances in metabolism-based artificial organelles, from their precise construction to smart theranostic applications. We first elaborate on the core construction strategies, including lipid and protein self-assembly, microfluidics, 3D bioprinting and biomembrane fusion for enabling dynamic interactions and content delivery, followed by a dissection of the design principles for modulating three metabolic pillars: (1) remodeling energy metabolism by mimicking mitochondrial function and regulating glycolysis; (2) controlling biosynthesis by emulating the endoplasmic reticulum (ER) and substance transport networks; and (3) reshaping redox homeostasis by mimicking peroxisomes through multienzyme cascades and intelligent responsive systems that precisely regulate signaling molecules such as reactive oxygen species (ROS). We link these functional designs to specific metabolic vulnerabilities in diseases and showcase applications in neurodegenerative disorders, cancer, cardiovascular diseases, and inflammatory conditions. Specific strategies include repairing damaged neurons through synergistic energy supplementation and antioxidation or inhibiting tumors via a combination of "starvation therapy" and pro-oxidative "gas therapy." Finally, we critically address the key challenges in biocompatibility, systemic complexity, delivery, and clinical translation and outline future perspectives toward intelligent, autonomous systems integrated with artificial intelligence (AI)-driven design and multiscale, "artificial tissue" constructs. This review aims to provide a theoretical framework and technological roadmap for designing the next generation of smart metabolic intervention tools.
细胞代谢失调是包括癌症、神经退行性疾病和心血管疾病在内的重大疾病的核心驱动因素。然而,小分子药物和基因编辑等传统干预措施受到脱靶效应、递送挑战以及缺乏时空精确性的阻碍,导致无法有效地重新构建病理性代谢网络。通过“自下而上”的仿生方法构建的人工细胞器,代表了从全身干预到“代谢系统重建”的范式转变,为在亚细胞水平精确模拟、修复或增强特定代谢功能提供了一种革命性策略。在这里,我们系统地回顾了基于代谢的人工细胞器的最新进展,从其精确构建到智能诊疗应用。我们首先详细阐述核心构建策略,包括脂质和蛋白质自组装、微流控技术、3D生物打印和生物膜融合,以实现动态相互作用和内容物递送,随后剖析调节三个代谢支柱的设计原则:(1)通过模拟线粒体功能和调节糖酵解来重塑能量代谢;(2)通过模拟内质网(ER)和物质运输网络来控制生物合成;(3)通过多酶级联反应和智能响应系统模拟过氧化物酶体,精确调节活性氧(ROS)等信号分子,从而重塑氧化还原稳态。我们将这些功能设计与疾病中的特定代谢脆弱性联系起来,并展示其在神经退行性疾病、癌症、心血管疾病和炎症性疾病中的应用。具体策略包括通过协同能量补充和抗氧化作用修复受损神经元,或通过“饥饿疗法”和促氧化“气体疗法”联合抑制肿瘤。最后,我们批判性地探讨了生物相容性、系统复杂性、递送和临床转化方面的关键挑战,并概述了朝着与人工智能(AI)驱动的设计和多尺度“人工组织”构建相结合的智能自主系统发展的未来前景。本综述旨在为设计下一代智能代谢干预工具提供理论框架和技术路线图。