Transcriptomic research in atherosclerosis: Unravelling plaque phenotype and overcoming methodological challenges

Miron Sopić , Kanita Karaduzovic-Hadziabdic , Dimitris Kardassis , Lars Maegdefessel , Fabio Martelli , Ari Meerson , Jelena Munjas , Loredan S. Niculescu , Monika Stoll , Paolo Magni , Yvan Devaux , CardioRNA COST Action CA17129 and AtheroNET COST Action CA21153
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引用次数: 0

Abstract

Atherosclerotic disease is a major cause of acute cardiovascular events. A deeper understanding of its underlying mechanisms will allow advancing personalized and patient-centered healthcare. Transcriptomic research has proven to be a powerful tool for unravelling the complex molecular pathways that drive atherosclerosis. However, low reproducibility of research findings and lack of standardization of procedures pose significant challenges in this field. In this review, we discuss how transcriptomic research can help in understanding the different phenotypes of the atherosclerotic plaque that contribute to the development and progression of atherosclerosis. We highlight the methodological challenges that need to be addressed to improve research outputs, and emphasize the importance of research protocols harmonization. We also discuss recent advances in transcriptomic research, including bulk or single-cell sequencing, and their added value in plaque phenotyping. Finally, we explore how integrated multiomics data and machine learning improve understanding of atherosclerosis and provide directions for future research.

Abstract Image

动脉粥样硬化的转录组学研究:揭示斑块表型和克服方法上的挑战
动脉粥样硬化疾病是急性心血管事件的主要原因。更深入地了解其潜在机制将有助于推进个性化和以患者为中心的医疗保健。转录组学研究已被证明是解开驱动动脉粥样硬化的复杂分子途径的有力工具。然而,研究结果的可重复性低和程序缺乏标准化在该领域构成了重大挑战。在这篇综述中,我们讨论了转录组学研究如何帮助理解动脉粥样硬化斑块的不同表型,这些表型有助于动脉粥样硬化的发展和进展。我们强调了需要解决的方法学挑战,以提高研究产出,并强调了研究协议协调的重要性。我们还讨论了转录组学研究的最新进展,包括批量或单细胞测序,以及它们在斑块表型中的附加值。最后,我们探讨了整合多组学数据和机器学习如何提高对动脉粥样硬化的理解,并为未来的研究提供方向。
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来源期刊
Journal of molecular and cellular cardiology plus
Journal of molecular and cellular cardiology plus Cardiology and Cardiovascular Medicine
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