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*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Article number100048
JournalJournal of Molecular and Cellular Cardiology Plus
Volume6
DOIs
Publication statusPublished - Dec 2023

Keywords

  • Atherosclerotic plaque
  • Data integration, machine learning
  • Transcriptomics

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