The Molecular Basis of Predicting Atherosclerotic Cardiovascular Disease Risk
Atherosclerotic cardiovascular disease (ASCVD) proceeds through a series of stages: initiation, progression (or regression), and complications. By integrating known biology regarding molecular signatures of each stage with recent advances in high-dimensional molecular data acquisition platforms (to...
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| Published in: | Circulation research Vol. 128; no. 2; p. 287 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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United States
22.01.2021
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| ISSN: | 1524-4571, 1524-4571 |
| Online Access: | Get more information |
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| Abstract | Atherosclerotic cardiovascular disease (ASCVD) proceeds through a series of stages: initiation, progression (or regression), and complications. By integrating known biology regarding molecular signatures of each stage with recent advances in high-dimensional molecular data acquisition platforms (to assay the genome, epigenome, transcriptome, proteome, metabolome, and gut microbiome), snapshots of each phase of atherosclerotic cardiovascular disease development can be captured. In this review, we will summarize emerging approaches for assessment of atherosclerotic cardiovascular disease risk in humans using peripheral blood molecular signatures and molecular imaging approaches. We will then discuss the potential (and challenges) for these snapshots to be integrated into a personalized movie providing dynamic readouts of an individual's atherosclerotic cardiovascular disease risk status throughout the life course. |
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| AbstractList | Atherosclerotic cardiovascular disease (ASCVD) proceeds through a series of stages: initiation, progression (or regression), and complications. By integrating known biology regarding molecular signatures of each stage with recent advances in high-dimensional molecular data acquisition platforms (to assay the genome, epigenome, transcriptome, proteome, metabolome, and gut microbiome), snapshots of each phase of atherosclerotic cardiovascular disease development can be captured. In this review, we will summarize emerging approaches for assessment of atherosclerotic cardiovascular disease risk in humans using peripheral blood molecular signatures and molecular imaging approaches. We will then discuss the potential (and challenges) for these snapshots to be integrated into a personalized movie providing dynamic readouts of an individual's atherosclerotic cardiovascular disease risk status throughout the life course. Atherosclerotic cardiovascular disease (ASCVD) proceeds through a series of stages: initiation, progression (or regression), and complications. By integrating known biology regarding molecular signatures of each stage with recent advances in high-dimensional molecular data acquisition platforms (to assay the genome, epigenome, transcriptome, proteome, metabolome, and gut microbiome), snapshots of each phase of atherosclerotic cardiovascular disease development can be captured. In this review, we will summarize emerging approaches for assessment of atherosclerotic cardiovascular disease risk in humans using peripheral blood molecular signatures and molecular imaging approaches. We will then discuss the potential (and challenges) for these snapshots to be integrated into a personalized movie providing dynamic readouts of an individual's atherosclerotic cardiovascular disease risk status throughout the life course.Atherosclerotic cardiovascular disease (ASCVD) proceeds through a series of stages: initiation, progression (or regression), and complications. By integrating known biology regarding molecular signatures of each stage with recent advances in high-dimensional molecular data acquisition platforms (to assay the genome, epigenome, transcriptome, proteome, metabolome, and gut microbiome), snapshots of each phase of atherosclerotic cardiovascular disease development can be captured. In this review, we will summarize emerging approaches for assessment of atherosclerotic cardiovascular disease risk in humans using peripheral blood molecular signatures and molecular imaging approaches. We will then discuss the potential (and challenges) for these snapshots to be integrated into a personalized movie providing dynamic readouts of an individual's atherosclerotic cardiovascular disease risk status throughout the life course. |
| Author | Nayor, Matthew Vasan, Ramachandran S Brown, Kemar J |
| Author_xml | – sequence: 1 givenname: Matthew surname: Nayor fullname: Nayor, Matthew organization: Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (M.N., K.J.B.) – sequence: 2 givenname: Kemar J surname: Brown fullname: Brown, Kemar J organization: Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (M.N., K.J.B.) – sequence: 3 givenname: Ramachandran S surname: Vasan fullname: Vasan, Ramachandran S organization: Department of Epidemiology, Boston University School of Public Health; Boston University Center for Computing and Data Sciences (R.S.V.) |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33476202$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | Animals Atherosclerosis - diagnostic imaging Atherosclerosis - genetics Atherosclerosis - metabolism Atherosclerosis - microbiology Bacteria - metabolism Biomarkers - metabolism Disease Progression Gastrointestinal Microbiome Gene Expression Profiling Heart Disease Risk Factors Humans Metabolome Metabolomics Molecular Imaging Plaque, Atherosclerotic Predictive Value of Tests Proteome Proteomics Risk Assessment Transcriptome |
| Title | The Molecular Basis of Predicting Atherosclerotic Cardiovascular Disease Risk |
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