缺氧和多谱系通讯在三维类器官用于人类疾病建模。

IF 3.9 3区 医学 Q1 ENGINEERING, MULTIDISCIPLINARY
Seif Ehab, Ola A Gaser, Ahmed Abdal Dayem
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引用次数: 0

摘要

类器官,自组织的三维(3D)多细胞结构来源于组织或干细胞,为研究人类发育和疾病提供了生理学相关模型。与传统的二维(2D)细胞培养和动物模型相比,类器官更准确地概括了人体器官的结构和功能。在影响类器官行为的关键微环境因素中,缺氧和多谱系通讯对指导细胞命运、组织组织和病理建模尤为重要。缺氧,主要由缺氧诱导因子(hfs)调节,调节细胞增殖、分化、代谢和基因表达,使其成为疾病建模的关键组成部分。同样,细胞间相互作用和细胞外基质(ECM)重塑促进了多谱系通讯,增强了类器官的复杂性和免疫学相关性。这篇综述探讨了在三维类器官疾病模型中缺氧和多谱系信号之间的动态相互作用,强调了工程缺氧生态位和共培养系统的最新进展,以提高临床前研究的保真度。我们还讨论了它们在药物筛选、再生医学和精确治疗方面的转化意义,同时强调了当前的挑战和未来的机遇。通过整合生物物理、生化和计算方法,下一代类器官模型可能会进一步优化,用于转化研究和治疗创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Hypoxia and Multilineage Communication in 3D Organoids for Human Disease Modeling.

Hypoxia and Multilineage Communication in 3D Organoids for Human Disease Modeling.

Hypoxia and Multilineage Communication in 3D Organoids for Human Disease Modeling.

Hypoxia and Multilineage Communication in 3D Organoids for Human Disease Modeling.

Organoids, self-organizing, three-dimensional (3D) multicellular structures derived from tissues or stem cells, offer physiologically relevant models for studying human development and disease. Compared to conventional two-dimensional (2D) cell cultures and animal models, organoids more accurately recapitulate the architecture and function of human organs. Among the critical microenvironmental cues influencing organoid behavior, hypoxia and multilineage communication are particularly important for guiding cell fate, tissue organization, and pathological modeling. Hypoxia, primarily regulated by hypoxia-inducible factors (HIFs), modulates cellular proliferation, differentiation, metabolism, and gene expression, making it a key component in disease modeling. Similarly, multilineage communication, facilitated by intercellular interactions and extracellular matrix (ECM) remodeling, enhances organoid complexity and immunological relevance. This review explores the dynamic interplay between hypoxia and multilineage signaling in 3D organoid-based disease models, emphasizing recent advances in engineering hypoxic niches and co-culture systems to improve preclinical research fidelity. We also discuss their translational implications for drug screening, regenerative medicine, and precision therapies, while highlighting current challenges and future opportunities. By integrating biophysical, biochemical, and computational approaches, next-generation organoid models may be further optimized for translational research and therapeutic innovation.

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来源期刊
Biomimetics
Biomimetics Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.50
自引率
11.10%
发文量
189
审稿时长
11 weeks
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