心血管和心力衰竭疾病的临床表型可以逆转吗?系统生物学在多面心脏病中的整体原理

IF 0.5 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS Cardiogenetics Pub Date : 2022-04-01 DOI:10.3390/cardiogenetics12020015
K. Lourida, G. Louridas
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引用次数: 0

摘要

心脏病学和生物科学的最新进展改善了复杂心血管疾病(cvd)或心力衰竭(HF)患者的生活质量。无论医学进展如何,复杂心脏疾病的临床病程持续延长,发病率和死亡率都很高。冠状动脉介入技术与药物治疗一起改善了生活质量和未来的前景,但并不能逆转动脉粥样硬化的进程,它仍然是无情的进展。心血管疾病和心力衰竭表型逆转的可能性可以通过系统生物学(SB)的医学整体原理和人工智能(AI)的进展来支持。临床表型逆转的研究应基于在收集和分析包含复杂性概念的大量相关数据后对大量患者进行的研究。为了破解这个复杂的难题,需要一种多组学方法,对生物数据进行网络分析。只有了解慢性心脏病的复杂性,解释不同相互关联的生物网络之间的相互关系,才能增加临床表型逆转的可能性。
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Clinical Phenotypes of Cardiovascular and Heart Failure Diseases Can Be Reversed? The Holistic Principle of Systems Biology in Multifaceted Heart Diseases
Recent advances in cardiology and biological sciences have improved quality of life in patients with complex cardiovascular diseases (CVDs) or heart failure (HF). Regardless of medical progress, complex cardiac diseases continue to have a prolonged clinical course with high morbidity and mortality. Interventional coronary techniques together with drug therapy improve quality and future prospects of life, but do not reverse the course of the atherosclerotic process that remains relentlessly progressive. The probability of CVDs and HF phenotypes to reverse can be supported by the advances made on the medical holistic principle of systems biology (SB) and on artificial intelligence (AI). Studies on clinical phenotypes reversal should be based on the research performed in large populations of patients following gathering and analyzing large amounts of relative data that embrace the concept of complexity. To decipher the complexity conundrum, a multiomics approach is needed with network analysis of the biological data. Only by understanding the complexity of chronic heart diseases and explaining the interrelationship between different interconnected biological networks can the probability for clinical phenotypes reversal be increased.
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来源期刊
Cardiogenetics
Cardiogenetics CARDIAC & CARDIOVASCULAR SYSTEMS-
自引率
0.00%
发文量
26
审稿时长
11 weeks
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