Suppr超能文献

一种用于绘制信号扰动图谱以及针对巨噬细胞介导的动态心肌损伤进行精确药物筛选的微流控共培养模型。

A microfluidic coculture model for mapping signaling perturbations and precise drug screening against macrophage-mediated dynamic myocardial injury.

作者信息

Gao Zhao, Du Zhiyong, Hou Yu, Hua Kun, Tu Pengfei, Ai Xiaoni, Jiang Yong

机构信息

State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.

The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, National Clinical Research Center for Cardiovascular Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing 100029, China.

出版信息

Acta Pharm Sin B. 2024 Dec;14(12):5393-5406. doi: 10.1016/j.apsb.2024.11.004. Epub 2024 Nov 13.

Abstract

Macrophage-mediated inflammation plays a pivotal role in cardiovascular disease pathogenesis. However, current cell-based models lack a comprehensive understanding of crosstalk between macrophages and cardiomyocytes, hindering the discovery of effective therapeutic interventions. Here, a microfluidic model has been developed to facilitate the coculture of macrophages and cardiomyocytes, allowing for mapping key signaling pathways and screening potential therapeutic agents against inflammation-induced dynamic myocardial injury. Through metabolic profiling and bioinformatic enrichment analysis, the microchip model with dynamic cell-cell crosstalk reveals robust activation of inflammatory and oxidative stress-associated metabolic pathways, closely resembling metabolic profiles of myocardial infarction in both humans and rodents. Furthermore, an integrative screening strategy has been established to screen bioactive natural products precisely, identifying ginsenoside Rb and protocatechualdehyde as promising cardioprotective candidates and . Taken together, the microfluidic coculture model advances mechanistic insight into macrophage-mediated cardio-immunology and may accelerate the discovery of therapeutics for myocardial injury.

摘要

巨噬细胞介导的炎症在心血管疾病发病机制中起关键作用。然而,当前基于细胞的模型对巨噬细胞与心肌细胞之间的相互作用缺乏全面了解,阻碍了有效治疗干预措施的发现。在此,已开发出一种微流控模型以促进巨噬细胞与心肌细胞的共培养,从而能够绘制关键信号通路并筛选针对炎症诱导的动态心肌损伤的潜在治疗药物。通过代谢谱分析和生物信息学富集分析,具有动态细胞间相互作用的微芯片模型揭示了炎症和氧化应激相关代谢途径的强烈激活,与人类和啮齿动物心肌梗死的代谢谱极为相似。此外,已建立一种综合筛选策略以精确筛选生物活性天然产物,确定人参皂苷Rb和原儿茶醛为有前景的心脏保护候选物。综上所述,微流控共培养模型推进了对巨噬细胞介导的心脏免疫学的机制性认识,并可能加速心肌损伤治疗药物的发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a34/11725091/9bc33c85623e/ga1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验