先天性心脏病相关肺动脉高压的代谢重编程 机制与精准医疗新策略
Metabolic Reprogramming Mechanisms and Precision Medicine Strategies for Pulmonary Arterial Hypertension Associated with Congenital Heart Disease
DOI: 10.12677/acm.2026.162582, PDF,   
作者: 温雪姣:赣南医科大学第一临床医学院,江西 赣州;肖根发*:赣南医科大学第一附属医院心脏医学中心,江西 赣州
关键词: 先天性心脏病肺动脉高压代谢重编程免疫代谢多组学精准医疗Congenital Heart Disease Pulmonary Arterial Hypertension Metabolic Reprogramming Immune Metabolism Multi-Omics Precision Medicine
摘要: 先天性心脏病相关肺动脉高压(PAH-CHD)的发病机制已超越传统血流动力学模型,转变为以代谢重编程为核心的复杂网络疾病。本综述系统阐述代谢重编程作为整合遗传易感性、血流动力学应激和免疫炎症反应的核心枢纽,驱动肺血管重塑的分子机制。重点论述糖酵解、谷氨酰胺代谢、线粒体功能障碍及脂代谢异常等关键代谢通路的改变如何通过影响细胞能量供应、生物合成及表观遗传调控,主动促进疾病进展。并进一步总结了基于代谢组学的生物标志物发现、代谢–免疫交互作用的最新证据,以及多组学整合在解析疾病异质性中的应用。最后,展望了靶向代谢通路的新型治疗策略及迈向精准医疗的具体路径,旨在为PAH-CHD的机制研究与临床防治提供全新视角。
Abstract: The pathogenesis of congenital heart disease-associated pulmonary arterial hypertension (PAH-CHD) has moved beyond the traditional hemodynamic model, evolving into a complex network disease centered on metabolic reprogramming. This review systematically elaborates on the molecular mechanisms by which metabolic reprogramming acts as a core hub integrating genetic susceptibility, hemodynamic stress, and immune-inflammatory responses to drive pulmonary vascular remodeling. It focuses on how alterations in key metabolic pathways—including glycolysis, glutamine metabolism, mitochondrial dysfunction, and lipid metabolism disorders—actively promote disease progression by affecting cellular energy supply, biosynthesis, and epigenetic regulation. Furthermore, this paper summarizes the discovery of metabolomics-based biomarkers, the latest evidence of metabolism-immune crosstalk, and the application of multi-omics integration in deciphering disease heterogeneity. Finally, it proposes novel therapeutic strategies targeting metabolic pathways and specific approaches toward precision medicine, aiming to provide a brand-new perspective for the mechanistic research, clinical prevention, and treatment of PAH-CHD.
文章引用:温雪姣, 肖根发. 先天性心脏病相关肺动脉高压的代谢重编程 机制与精准医疗新策略[J]. 临床医学进展, 2026, 16(2): 1877-1883. https://doi.org/10.12677/acm.2026.162582

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