Transcriptomic research in atherosclerosis: Unravelling plaque phenotype and overcoming methodological challenges
Articolo
Data di Pubblicazione:
2023
Citazione:
Transcriptomic research in atherosclerosis: Unravelling plaque phenotype and overcoming methodological challenges / M. Sopić, K. Karaduzovic-Hadziabdic, D. Kardassis, L. Maegdefessel, F. Martelli, A. Meerson, J. Munjas, L.S. Niculescu, M. Stoll, P. Magni, Y. Devaux. - In: JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY PLUS. - ISSN 2772-9761. - 6:(2023), pp. 100048.1-100048.10. [10.1016/j.jmccpl.2023.100048]
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.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Atherosclerotic plaque; Transcriptomics; Data integration; Machine learning
Elenco autori:
M. Sopić, K. Karaduzovic-Hadziabdic, D. Kardassis, L. Maegdefessel, F. Martelli, A. Meerson, J. Munjas, L.S. Niculescu, M. Stoll, P. Magni, Y. Devaux
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