TY - JOUR
T1 - Transcriptomic research in atherosclerosis
T2 - Unravelling plaque phenotype and overcoming methodological challenges
AU - Sopic, Miron
AU - Karaduzovic-Hadziabdic, Kanita
AU - Kardassis, Dimitris
AU - Maegdefessel, Lars
AU - Martelli, Fabio
AU - Meerson, Ari
AU - Munjas, Jelena
AU - Niculescu, Loredan S.
AU - Stoll, Monika
AU - Magni, Paolo
AU - Devaux, Yvan
N1 - Publisher Copyright:
© 2023
PY - 2023/12/1
Y1 - 2023/12/1
N2 - 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.
AB - 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.
KW - Atherosclerotic plaque
KW - Data integration, machine learning
KW - Transcriptomics
U2 - 10.1016/j.jmccpl.2023.100048
DO - 10.1016/j.jmccpl.2023.100048
M3 - (Systematic) Review article
SN - 2772-9761
VL - 6
JO - Journal of Molecular and Cellular Cardiology Plus
JF - Journal of Molecular and Cellular Cardiology Plus
M1 - 100048
ER -