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dc.contributor.authorKhan, F
dc.contributor.authorGonçalves, I
dc.contributor.authorShore, AC
dc.contributor.authorNatali, A
dc.contributor.authorPalombo, C
dc.contributor.authorColhoun, HM
dc.contributor.authorÖstling, G
dc.contributor.authorCasanova, F
dc.contributor.authorKennbäck, C
dc.contributor.authorAizawa, K
dc.contributor.authorPersson, M
dc.contributor.authorGooding, KM
dc.contributor.authorStrain, D
dc.contributor.authorLooker, H
dc.contributor.authorDove, F
dc.contributor.authorBelch, J
dc.contributor.authorPinnola, S
dc.contributor.authorVenturi, E
dc.contributor.authorKozakova, M
dc.contributor.authorNilsson, J
dc.date.accessioned2022-09-15T13:07:33Z
dc.date.issued2022-07-19
dc.date.updated2022-09-15T11:18:41Z
dc.description.abstractThe factors that influence the atherosclerotic disease process in high-risk individuals remain poorly understood. Here, we used a combination of vascular imaging, risk factor assessment, and biomarkers to identify factors associated with 3-year change in carotid disease severity in a cohort of high-risk subjects treated with preventive therapy (n = 865). The results show that changes in intima-media thickness (IMT) are most pronounced in the carotid bulb. Progression of bulb IMT demonstrates independent associations with baseline bulb IMT, the plaque gray scale median (GSM), and the plasma level of platelet-derived growth factor (PDGF) (standardized β-coefficients and 95% confidence interval [CI] -0.14 [-0.06 to -0.02] p = 0.001, 0.15 [0.02-0.07] p = 0.001, and 0.20 [0.03-0.07] p < 0.001, respectively). Plasma PDGF correlates with the plaque GSM (0.23 [0.15-0.29] p < 0.001). These observations provide insight into the atherosclerotic process in high-risk subjects by showing that progression primarily occurs in fibrotic plaques and is associated with increased levels of PDGF.en_GB
dc.description.sponsorshipInnovative Medicines Initiativeen_GB
dc.description.sponsorshipSwedish Heart-Lung Foundationen_GB
dc.description.sponsorshipNational Institute for Health Research (NIHR)en_GB
dc.format.extent100676-
dc.format.mediumPrint
dc.identifier.citationVol. 3(7), article 100676en_GB
dc.identifier.doihttps://doi.org/10.1016/j.xcrm.2022.100676
dc.identifier.grantnumberIMI-2008/115006en_GB
dc.identifier.urihttp://hdl.handle.net/10871/130849
dc.identifierORCID: 0000-0003-3039-308X (Shore, Angela C)
dc.identifierORCID: 0000-0003-0275-4765 (Casanova, Francesco)
dc.identifierScopusID: 18436139700 | 56592223400 (Casanova, Francesco)
dc.identifierORCID: 0000-0002-0025-2115 (Aizawa, Kunihiko)
dc.identifierORCID: 0000-0002-1825-9825 (Gooding, Kim M)
dc.identifierORCID: 0000-0002-6826-418X (Strain, David)
dc.identifierScopusID: 56602727900 | 9244119500 (Strain, David)
dc.identifierResearcherID: Y-9858-2019 (Strain, David)
dc.language.isoenen_GB
dc.publisherCell Pressen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/35858591en_GB
dc.rightsCrown Copyright © 2022. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_GB
dc.subjectatherosclerosisen_GB
dc.subjectbiomarkersen_GB
dc.subjectcarotid ultrasounden_GB
dc.subjectintima-media thicknessen_GB
dc.subjectrisk factorsen_GB
dc.subjecttype 2 diabetesen_GB
dc.subjectAtherosclerosisen_GB
dc.subjectBiomarkersen_GB
dc.subjectCarotid Artery Diseasesen_GB
dc.subjectCarotid Intima-Media Thicknessen_GB
dc.subjectHumansen_GB
dc.subjectPlaque, Atheroscleroticen_GB
dc.subjectRisk Factorsen_GB
dc.subjectTomography, X-Ray Computeden_GB
dc.titlePlaque characteristics and biomarkers predicting regression and progression of carotid atherosclerosisen_GB
dc.typeArticleen_GB
dc.date.available2022-09-15T13:07:33Z
dc.identifier.issn2666-3791
exeter.article-number100676
exeter.place-of-publicationUnited States
dc.descriptionThis is the final version. Available on open access from Cell Press via the DOI in this recorden_GB
dc.descriptionData and code availability: • All data reported in this paper will be shared by the lead contact upon request. • This paper does not report original code. • Any additional information required to reanalyze the data reported in this work paper is available from the lead contact upon request.en_GB
dc.identifier.eissn2666-3791
dc.identifier.journalCell Reports Medicineen_GB
dc.relation.ispartofCell Rep Med, 3(7)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_GB
dcterms.dateAccepted2022-06-10
dc.rights.licenseCC BY-NC-ND
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-07-19
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-09-15T13:05:03Z
refterms.versionFCDVoR
refterms.dateFOA2022-09-15T13:07:43Z
refterms.panelAen_GB


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Crown Copyright © 2022. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Except where otherwise noted, this item's licence is described as Crown Copyright © 2022. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).