炎症
类有机物
定量评估
计算生物学
生物信息学
计算机科学
医学
神经科学
生物
风险分析(工程)
免疫学
作者
Hongrui Lin,Junjie Cheng,Chuanwei Zhu,Zhiwen Yang,Qi Shen,Yafeng Zou,Yiming Huang,Fengting Lv,Haotian Bai,Shu Wang
标识
DOI:10.1002/anie.202503252
摘要
Inflammation plays a crucial role in progression of cardiovascular diseases (CVDs), thus the discovery of rapid and precise analytical tools to assess inflammation related to CVDs is highly desirable for its diagnosis and therapeutics discovery. However, a straightforward and systematic method for quantitative assessment of inflammation levels in heart organoids has yet to be developed. Herein, we describe the construction of human heart inflammatory organoids with intricate structures and diverse cell lineages and the development of an artificial intelligent (AI)‐enabled method for quantitative assessment of inflammation levels in this model. Furthermore, we devised a novel therapeutic strategy to boost endogenous energy molecule production in heart inflammatory organoids to address energy metabolic disorders. This research provides a convenient method for quantitative inflammation evaluation and offers a promising tool for drug discovery.
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