Sopić Miron, Karaduzovic-Hadziabdic Kanita, Kardassis Dimitris, Maegdefessel Lars, Martelli Fabio, Meerson Ari, Munjas Jelena, Niculescu Loredan S, Stoll Monika, Magni Paolo, Devaux Yvan
Department of Medical Biochemistry, Faculty of Pharmacy, University of Belgrade, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg.
Cardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg.
J Mol Cell Cardiol Plus. 2023 Sep 12;6:100048. doi: 10.1016/j.jmccpl.2023.100048. eCollection 2023 Dec.
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.
动脉粥样硬化疾病是急性心血管事件的主要原因。对其潜在机制的更深入理解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揭示驱动动脉粥样硬化的复杂分子途径的有力工具。然而，研究结果的低重现性和程序缺乏标准化给该领域带来了重大挑战。在本综述中，我们讨论转录组学研究如何有助于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生和发展。我们强调了为提高研究产出需要解决的方法学挑战，并强调了研究方案协调统一的重要性。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分析中的附加价值。最后，我们探讨了整合多组学数据和机器学习如何增进对动脉粥样硬化的理解，并为未来研究提供方向。
