Artificial Intelligence‐Enabled Quantitative Assessment and Intervention for Heart Inflammation Model Organoids

H Hongrui Lin (Beijing National Laboratory for Molecular Sciences Key Laboratory of Organic Solids Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P.R. China) J Junjie Cheng (Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry) C Chuanwei Zhu (Key Laboratory of Organic Solids Beijing National Laboratory for Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P.R. China) Z Zhiwen Yang (Key Laboratory of Organic Solids Beijing National Laboratory for Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P.R. China) Q Qi Shen (Department of Cancer Institute, Xuzhou Medical University) Y Yafeng Zou (Key Laboratory of Organic Solids Beijing National Laboratory for Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P.R. China) Y Yiming Huang (Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry) F Fengting Lv (Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry) H Haotian Bai (Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry) S Shu Wang

Abstract

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 their diagnosis and therapeutic 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 intelligence (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.

Article Details

Volume / Issue Vol. 64, Issue 25
Published June 17, 2025
ISSN 1433-7851
Publisher Wiley

Journal Info

Angewandte Chemie International Edition

Wiley

ISSN: 1433-7851 Physical Sciences

Authors (10)

H

Hongrui Lin

Beijing National Laboratory for Molecular Sciences Key Laboratory of Organic Solids Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P.R. China

J

Junjie Cheng

Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry

C

Chuanwei Zhu

Key Laboratory of Organic Solids Beijing National Laboratory for Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P.R. China

Z

Zhiwen Yang

Key Laboratory of Organic Solids Beijing National Laboratory for Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P.R. China

Q

Qi Shen

Department of Cancer Institute, Xuzhou Medical University

Y

Yafeng Zou

Key Laboratory of Organic Solids Beijing National Laboratory for Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P.R. China

Y

Yiming Huang

Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry

F

Fengting Lv

Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry

H

Haotian Bai

Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry

S

Shu Wang