DOI: 10.1002/btm2.70164 ISSN: 2380-6761

Engineering brain organoids for functional validation and translational applications: Construction strategies, vascularization, and standardization

Guohong Huang, Chenfei Lu, Zihan Jin, Yunchuanxiang Huang, Xinya Du, Xixi Hu, Hui Peng, Shanrun Wang, Lin Wen, Juhui Qiu, Guixue Wang, Chuanrong Zhao

Abstract

Brain organoids provide three‐dimensional human cellular systems that can reproduce selected features of early neural development, regional patterning, cellular diversification, and emerging neural activity more effectively than conventional two‐dimensional cultures. However, their translational value depends not only on morphological resemblance to brain tissue, but also on whether construction strategies, functional validation, reproducibility, and application‐specific model fitness are appropriately aligned. This structured narrative review synthesizes representative engineering strategies for brain organoid construction and examines how cell source, embryoid body formation, extracellular matrix support, patterning strategy, culture platform, vascularization, and cellular complexity influence functional validation and translational applicability. We further organize functional assessment into a hierarchical validation framework that includes morphology and growth, lineage and regional identity, tissue viability, synaptic maturation, electrophysiological activity, neurochemical signaling, BBB‐like function, and omics‐based benchmarking. These advances support the use of brain organoids in developmental biology, neurological disease modeling, drug screening, neurovascular research, and exploratory biohybrid interfaces, although their interpretation remains constrained by immature cellular states, incomplete vascular perfusion, batch variability, and limited standardization. Overall, this review reframes brain organoids as engineered biological platforms whose value should be judged by the alignment among construction strategy, biological benchmark, functional readout, and intended translational application. The emphasis is comparative conceptual synthesis of engineering strategies and multi‐layer functional validation rather than systematic quantitative meta‐analysis.

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