近日，中国科学院化学研究所教授王树及其研究小组提出，人工智能对心脏炎症模型类器官的定量评估和干预。这一研究成果于2025年4月10日发表在国际顶尖学术期刊《德国应用化学》上。

在此，研究组描述了具有复杂结构和多种细胞系的人类心脏炎症类器官的构建，以及该模型中用于定量评估炎症水平的人工智能（AI）启用方法的开发。

此外，课题组设计了一种新的治疗策略来促进内源性能量分子在心脏炎性器官的产生，以解决能量代谢紊乱。该研究为炎症定量评价提供了一种便捷的方法，并为药物开发提供了一种有前景的工具。

据悉，炎症在心血管疾病（CVDs）的进展中起着至关重要的作用，因此发现快速、精确的分析工具来评估与CVDs相关的炎症，对于其诊断和治疗方法的发现是非常必要的。然而，一种直接而系统的定量评估心脏类器官炎症水平的方法尚未开发。

附：英文原文

Title: Artificial Intelligence-Enabled Quantitative Assessment and Intervention for Heart Inflammation Model Organoids

Author: Hongrui Lin, Junjie Cheng, Chuanwei Zhu, Zhiwen Yang, Qi Shen, Yafeng Zou, Yiming Huang, Fengting Lv, Haotian Bai, Shu Wang

Issue&Volume: 2025-04-10

Abstract: 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.

DOI: 10.1002/anie.202503252

Source: https://onlinelibrary.wiley.com/doi/10.1002/anie.202503252