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
{"title":"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","authors":"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","doi":"10.1016/j.jmccpl.2023.100048","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":73835,"journal":{"name":"Journal of molecular and cellular cardiology plus","volume":"6 ","pages":"Article 100048"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transcriptomic research in atherosclerosis: Unravelling plaque phenotype and overcoming methodological challenges\",\"authors\":\"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\",\"doi\":\"10.1016/j.jmccpl.2023.100048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":73835,\"journal\":{\"name\":\"Journal of molecular and cellular cardiology plus\",\"volume\":\"6 \",\"pages\":\"Article 100048\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of molecular and cellular cardiology plus\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772976123000181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular and cellular cardiology plus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772976123000181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Transcriptomic research in atherosclerosis: Unravelling plaque phenotype and overcoming methodological challenges
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.