从表观遗传角度看动脉粥样硬化性心血管疾病:系统生物学和表观遗传推理的整体原则

K. Lourida, George E. Louridas
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引用次数: 0

摘要

动脉粥样硬化和冠状动脉疾病是造成机体损伤和心源性死亡的主要原因,给我们的医疗保健系统带来了沉重的负担。本综述重点阐明各种表观遗传机制参与心血管疾病(CVDs),尤其是慢性心血管疾病的发生和发展。表观遗传机制的失调在心血管疾病的发展过程中起着至关重要的作用,促使人们探索新的预防方法。分子程序、基于网络的方法和数据分析的进步已经确定了心血管疾病的新靶点,从而可以利用个体化的表观遗传因素进行个性化诊断和治疗。虽然表观遗传生物标志物有望改善诊断和预后评估,但其临床应用却相对滞后。要确信特定表观遗传生物标志物的临床效用,在大样本人群中进行多中心临床记录至关重要。特别值得关注的是表观遗传学与基于基因的还原论和系统生物学(SB)整体原则之间的冲突。整体原则分析生物网络的结构组织和调控,影响心血管疾病等复杂心脏疾病的发生和发展。这篇综述强调了心血管疾病的复杂性,阐明了疾病网络与表观遗传机制之间的相互关系,并强调了系统生物学整体原理与人工智能相结合在阐明这种相互关系方面的重要性。表观遗传学持续不间断的影响蕴含着巨大的潜力,可促进我们对跨细胞和跨组织疾病进展和治疗的理解。尽管取得了这些进展,但将表观遗传学的影响全面融入医疗实践的工作仍未完成,临床应用有限。不过,在不久的将来,基因表达的表观遗传调控及其对健康的终身和长期影响很可能会成为日常临床实践中不可或缺的一部分。
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Epigenetic perspective on atherosclerotic cardiovascular diseases: The holistic principle of systems biology and epigenetic reasoning
Atherosclerosis and coronary artery disease are the main causes of impairment and cardiac death, placing a significant burden on our health-care system. This review focuses on elucidating the involvement of various epigenetic mechanisms in the genesis and progression of cardiovascular diseases (CVDs), particularly chronic CVDs. The deregulation of epigenetic mechanisms plays a crucial role in the progression of CVDs, prompting exploration into novel preventive approaches. Advancements in molecular procedures, network-based approaches, and data analysis have identified new targets in CVDs, permitting the utilization of individualized epigenetic factors for personalized diagnosis and treatment. While promising for improving diagnostic and prognostic assessments, the clinical implementation of epigenetic biomarkers lags behind. Multicenter clinical documentation in a large sample population is crucial to confidently ascertain the clinical utility of specific epigenetic biomarkers. Of particular interest is the interplay between epigenetics and the conflict between the gene-based reductionist theory and the holistic principle of systems biology (SB). The holistic principle analyzes the structural organization and regulation of biological networks, influencing the genesis and progression of complex cardiac diseases like CVDs. This review emphasizes the complexity of CVDs, elucidates the interrelationship between disease networks and epigenetic mechanisms, and highlights the importance of the holistic principle of SB, coupled with artificial intelligence, in clarifying this interrelationship. The constant and uninterrupted epigenetic impact holds immense potential for advancing our understanding of disease progression and treatment across cells and tissues. Despite these advancements, the full integration of the epigenetic impact into medical practice remains incomplete, with limited utilization in clinical applications. Nevertheless, it is likely that in the near future, the epigenetic regulation of gene expression, with its lifelong and extended effects on health, will become an integral part of everyday clinical practice.
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