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...

Full description

Saved in:
Bibliographic Details
Published in:Circulation research Vol. 128; no. 2; p. 287
Main Authors: Nayor, Matthew, Brown, Kemar J, Vasan, Ramachandran S
Format: Journal Article
Language:English
Published: United States 22.01.2021
Subjects:
ISSN:1524-4571, 1524-4571
Online Access:Get more information
Tags: Add Tag
No Tags, Be the first to tag this record!
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.
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
BookMark eNpNkEtPwkAAhDcGIw_9CZoevRT33fZYKwoJRIN4bvYpq6WLu62J_14SMPEyM4dv5jBjMGh9awC4RnCKEEd31WJdrWev5bycIgynBLG8gGdghBimKWUZGvzLQzCO8QNCRAkuLsCQEJpxDPEIrDZbk6x8Y1TfiJDci-hi4m3yEox2qnPte1J2WxN8VM1BO6eSSgTt_LeIx8qDi0ZEk6xd_LwE51Y00VydfALeHmebap4un58WVblMFcM4SyXkkmBbEJYLyIVkLMNWEwOlpURaRZmWGbWMSCQIz5XOBDMcSl4gq2mu8QTcHnf3wX_1Jnb1zkVlmka0xvexxjSHuCBFAQ_ozQnt5c7oeh_cToSf-u8C_AsQVWEg
CitedBy_id crossref_primary_10_3390_jpm12020199
crossref_primary_10_1002_cdt3_90
crossref_primary_10_1016_j_lfs_2023_122007
crossref_primary_10_1016_j_cellsig_2023_110627
crossref_primary_10_56782_pps_208
crossref_primary_10_3390_biomedicines13071723
crossref_primary_10_1111_sji_13174
crossref_primary_10_1124_pharmrev_123_000815
crossref_primary_10_3389_fphar_2023_1290253
crossref_primary_10_3389_fcimb_2023_1227450
crossref_primary_10_3390_jcdd12020051
crossref_primary_10_1093_eurjpc_zwad106
crossref_primary_10_1016_j_envint_2025_109743
crossref_primary_10_3390_proteomes13010005
crossref_primary_10_3390_ijms232314564
crossref_primary_10_3390_ijms23042336
crossref_primary_10_3390_metabo11100691
crossref_primary_10_3390_nu16162651
crossref_primary_10_1177_14703203251358984
crossref_primary_10_1016_j_jep_2022_115749
crossref_primary_10_1016_j_atherosclerosis_2023_02_008
crossref_primary_10_1007_s11883_024_01259_7
crossref_primary_10_1093_bib_bbaf440
crossref_primary_10_1016_j_toxlet_2024_10_007
crossref_primary_10_1210_jendso_bvad167
crossref_primary_10_1016_j_cpcardiol_2022_101486
crossref_primary_10_1016_j_ijbiomac_2025_139573
crossref_primary_10_1186_s12864_022_09044_z
crossref_primary_10_1007_s11892_022_01449_0
crossref_primary_10_1016_j_atherosclerosis_2025_120414
crossref_primary_10_3390_genes16010098
crossref_primary_10_1002_ptr_70027
crossref_primary_10_1186_s12933_025_02654_3
crossref_primary_10_1007_s12265_022_10329_7
crossref_primary_10_1186_s12872_024_03773_7
crossref_primary_10_1515_cclm_2024_0550
crossref_primary_10_2174_0109298673296881240816065357
crossref_primary_10_1111_1750_3841_16741
crossref_primary_10_1371_journal_pone_0310412
crossref_primary_10_3390_cells14030183
crossref_primary_10_1038_s41401_024_01305_9
crossref_primary_10_3390_jpm13091360
crossref_primary_10_1007_s12265_023_10466_7
crossref_primary_10_1002_adhm_202502543
crossref_primary_10_1016_j_cellsig_2025_111699
crossref_primary_10_1515_jtim_2023_0141
crossref_primary_10_1016_j_phrs_2024_107413
crossref_primary_10_3390_jcm12237492
crossref_primary_10_1177_17534259241269687
crossref_primary_10_1186_s12872_024_04296_x
crossref_primary_10_1021_acs_analchem_4c06871
crossref_primary_10_3389_fphar_2024_1515172
crossref_primary_10_1136_bmjopen_2023_074768
crossref_primary_10_1007_s11883_023_01164_5
crossref_primary_10_15212_bioi_2024_0049
crossref_primary_10_1016_j_cej_2022_138992
crossref_primary_10_3390_antiox11071408
crossref_primary_10_1002_advs_202412775
crossref_primary_10_1177_23800844241280383
crossref_primary_10_1016_j_jand_2023_07_017
crossref_primary_10_3390_ijms26083572
crossref_primary_10_3389_fcvm_2022_892000
crossref_primary_10_1007_s12181_023_00631_2
crossref_primary_10_7759_cureus_83022
crossref_primary_10_3390_nu17172804
crossref_primary_10_1016_j_pmedr_2025_103187
crossref_primary_10_3389_fcvm_2024_1442098
crossref_primary_10_1093_ehjcvp_pvad059
crossref_primary_10_1016_S0140_6736_25_00055_8
crossref_primary_10_3390_nu14030545
crossref_primary_10_1186_s12933_025_02749_x
crossref_primary_10_1016_j_jep_2025_120244
crossref_primary_10_3390_ijms252312759
crossref_primary_10_1111_andr_13530
crossref_primary_10_2478_amma_2022_0026
crossref_primary_10_1016_j_biopha_2023_116092
crossref_primary_10_1111_dom_16441
crossref_primary_10_1152_physiol_00028_2023
crossref_primary_10_1016_j_chmed_2024_09_006
ContentType Journal Article
DBID CGR
CUY
CVF
ECM
EIF
NPM
7X8
DOI 10.1161/CIRCRESAHA.120.315890
DatabaseName Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE
MEDLINE - Academic
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: 7X8
  name: MEDLINE - Academic
  url: https://search.proquest.com/medline
  sourceTypes: Aggregation Database
DeliveryMethod no_fulltext_linktorsrc
Discipline Medicine
EISSN 1524-4571
ExternalDocumentID 33476202
Genre Review
Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NHLBI NIH HHS
  grantid: R01 HL146860
– fundername: NHLBI NIH HHS
  grantid: R01 HL143818
– fundername: NHLBI NIH HHS
  grantid: 75N92019D00031
– fundername: NHLBI NIH HHS
  grantid: HHSN268201500001I
– fundername: NINDS NIH HHS
  grantid: R01 NS017950
– fundername: NHLBI NIH HHS
  grantid: HHSN268201500001C
– fundername: NHLBI NIH HHS
  grantid: R01 HL131015
– fundername: NHLBI NIH HHS
  grantid: K23 HL138260
– fundername: NHLBI NIH HHS
  grantid: N01 HC025195
– fundername: NHLBI NIH HHS
  grantid: R01 HL131029
GroupedDBID ---
-~X
.-D
.3C
.Z2
01R
0R~
18M
1J1
29B
2WC
40H
4Q1
4Q2
4Q3
53G
5GY
5RE
5VS
71W
77Y
7O~
AAAAV
AAAXR
AAGIX
AAHPQ
AAIQE
AAMOA
AAMTA
AAQKA
AARTV
AASCR
AASOK
AAXQO
ABASU
ABBUW
ABDIG
ABJNI
ABOCM
ABPXF
ABQRW
ABVCZ
ABXVJ
ABZAD
ABZZY
ACDDN
ACEWG
ACGFO
ACGFS
ACILI
ACLDA
ACNWC
ACPRK
ACWDW
ACWRI
ACXJB
ACXNZ
ACZKN
ADBBV
ADGGA
ADHPY
AE3
AE6
AENEX
AFBFQ
AFDTB
AFUWQ
AGINI
AHMBA
AHOMT
AHQNM
AHVBC
AIJEX
AINUH
AJCLO
AJIOK
AJNWD
AJZMW
AKCTQ
AKULP
ALKUP
ALMA_UNASSIGNED_HOLDINGS
ALMTX
AMJPA
AMKUR
AMNEI
AOHHW
AOQMC
BAWUL
BOYCO
BQLVK
C45
CGR
CS3
CUY
CVF
DIK
DIWNM
DU5
E.X
E3Z
EBS
ECM
EEVPB
EIF
EJD
ERAAH
EX3
F2K
F2L
F2M
F2N
F5P
FCALG
FL-
FRP
GNXGY
GQDEL
GX1
H0~
HLJTE
HZ~
IKREB
IKYAY
IN~
IPNFZ
JK3
JK8
K8S
KD2
KMI
KQ8
L-C
L7B
N9A
NPM
N~7
N~B
O9-
OAG
OAH
OB2
OK1
OL1
OLG
OLH
OLU
OLV
OLY
OLZ
OPUJH
OVD
OVDNE
OVIDH
OVLEI
OWW
OWY
OXXIT
P2P
PQQKQ
RAH
RIG
RLZ
S4R
S4S
T8P
TEORI
TR2
TSPGW
UPT
V2I
VVN
W3M
W8F
WH7
WOQ
WOW
X3V
X3W
YFH
YOC
ZFV
7X8
ADKSD
ADSXY
ID FETCH-LOGICAL-c5227-b06b32f9358a06ab5572fd3e0bf43bfc45db74f53b1a368cd7a5e60b691fd48d2
IEDL.DBID 7X8
ISICitedReferencesCount 94
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=00003012-202101220-00017&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1524-4571
IngestDate Sun Sep 28 11:44:45 EDT 2025
Sat May 31 02:11:47 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Keywords coronary artery disease
cardiovascular disease
proteomics
metabolome
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c5227-b06b32f9358a06ab5572fd3e0bf43bfc45db74f53b1a368cd7a5e60b691fd48d2
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
content type line 23
OpenAccessLink https://www.ahajournals.org/doi/pdf/10.1161/CIRCRESAHA.120.315890
PMID 33476202
PQID 2480293990
PQPubID 23479
ParticipantIDs proquest_miscellaneous_2480293990
pubmed_primary_33476202
PublicationCentury 2000
PublicationDate 2021-January-22
PublicationDateYYYYMMDD 2021-01-22
PublicationDate_xml – month: 01
  year: 2021
  text: 2021-January-22
  day: 22
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle Circulation research
PublicationTitleAlternate Circ Res
PublicationYear 2021
SSID ssj0014329
Score 2.60904
SecondaryResourceType review_article
Snippet Atherosclerotic cardiovascular disease (ASCVD) proceeds through a series of stages: initiation, progression (or regression), and complications. By integrating...
SourceID proquest
pubmed
SourceType Aggregation Database
Index Database
StartPage 287
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
URI https://www.ncbi.nlm.nih.gov/pubmed/33476202
https://www.proquest.com/docview/2480293990
Volume 128
WOSCitedRecordID wos00003012-202101220-00017&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bS8MwFA7qRHzxfpk3IvhalubSpE8yq2M-dIyhsLeRNA0MoZ2r-vs9aTuGD4LgSx9KU9LDyTlfz3eSD6E7xXIehlYEsaQ84KGDNQd5ItBM5kwqf-aXrcUm5GikptN43BbcqratchUT60Bty8zXyHuUKwKpCYLn_eI98KpRnl1tJTQ2UYcBlPFeLadrFoGzWqUMUhRMQ8iw3cEDIKeXPE8S-MT-0FcD_Z-rUDH5HWXW2Waw_995HqC9FmfifuMYh2gjL47QTtoy6ccoBf_A6UobFz_oal7h0uHx0j_ie6Fx32PDsoLhyxLegpMfrav4saF28GRevZ2g18HTSzIMWmmFIAPAJQNDIsOo8ySoJpE2QkjqLMuJcZwZl3FhjeROMBNqFqnMSi3yiJgoDp3lytJTtFWURX6OMNxTzhgdS88Na65dLBkjJs5YpInOuuh2ZagZuK7nI3SRl5_VbG2qLjprrD1bNGdszBjjEKYJvfjD6Eu0S32nCQkDSq9Qx8HCza_Rdvb1Ma-WN7VPwHU0Tr8BXQa_Zg
linkProvider ProQuest
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+Molecular+Basis+of+Predicting+Atherosclerotic+Cardiovascular+Disease+Risk&rft.jtitle=Circulation+research&rft.au=Nayor%2C+Matthew&rft.au=Brown%2C+Kemar+J&rft.au=Vasan%2C+Ramachandran+S&rft.date=2021-01-22&rft.eissn=1524-4571&rft.volume=128&rft.issue=2&rft.spage=287&rft_id=info:doi/10.1161%2FCIRCRESAHA.120.315890&rft_id=info%3Apmid%2F33476202&rft_id=info%3Apmid%2F33476202&rft.externalDocID=33476202
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1524-4571&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1524-4571&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1524-4571&client=summon