Atherosclerotic disease activity is associated with glycolytic enzyme expression across multiple cell types and is trackable by FDG-PET

dc.contributor.authorNogales, Paula
dc.contributor.authorVelasco, Carlos
dc.contributor.authorGonzález Cintado, Leticia
dc.contributor.authorSharysh, Diana
dc.contributor.authorMota Cobián, Adriana
dc.contributor.authorIzquierdo Serrano, Raúl
dc.contributor.authorTorroja, Carlos
dc.contributor.authorRío Aledo, David del
dc.contributor.authorMorales Cano, Daniel
dc.contributor.authorMota Blanco, Rubén
dc.contributor.authoret al.
dc.date.accessioned2025-10-11T15:02:32Z
dc.date.available2025-10-11T15:02:32Z
dc.date.issued2025
dc.description.abstractPositron emission tomography (PET) imaging with the radiolabeled glucose analog fluorodeoxyglucose (18FDG) is used to monitor atherosclerosis in clinical trials, but there is uncertainty regarding the plaque cell types that accumulate FDG and how uptake is regulated. The long-standing view that 18FDG is mainly taken up by macrophages is at odds with human and experimental data, and the impact of disease activity on 18FDG uptake has not been examined directly. To analyze the ability of 18FDG-PET to monitor disease activity, we developed a model of plaque regression in minipigs with hepatic overexpression of a gain-of-function mutant of proprotein convertase subtilisin/kexin type 9 (PCSK9). Atherosclerosis was induced through 12 months of high-fat feeding in the porcine model. Disease activity was then lowered for 3 months by reducing plasma cholesterol with a low-fat diet alone or in combination with the microsomal transfer protein (MTP) inhibitor BMS-212122. Plaque regression in advanced lesions of the abdominal aorta was evident from reduced lipid content, reduced necrotic core size, and partial resolution of plaque inflammation and was accompanied by a decline in 18FDG-PET signal. Single-cell gene expression profiling revealed that plaque regression involved substantial down-regulation of genes encoding glycolytic enzymes in smooth muscle cells (SMCs), macrophages, and lymphocytes, which was corroborated by analysis of the plaque cellular proteome. These findings in a large-animal model suggest that 18FDG-PET can monitor atherosclerosis because of a close association between disease activity and glycolytic enzyme expression in all of the major plaque cell types.
dc.description.filiationUEM
dc.description.impact14.6 Q1 JCR 2024
dc.description.impact6.722 Q1 SJR 2024
dc.description.impactNo data IDR 2023
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad (MEIC), con cofinanciación del Fondo Europeo de Desarrollo Regional (FEDER): Grant PI2019-108568RB-I00 otorgado a J.F.B.
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad (MEIC), con cofinanciación del Fondo Europeo de Desarrollo Regional (FEDER): Grant BES-2016-076633 otorgado a P.N.
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad (MEIC), con cofinanciación del Fondo Europeo de Desarrollo Regional (FEDER): Grant PID2021-122348NB-I00 otorgado a J.V.
dc.description.sponsorshipInstituto de Salud Carlos III, con cofinanciación del FEDER / iniciativa europea “A way to make Europe”: Grant PI20/00610 otorgado a J.M.
dc.description.sponsorshipComunidad de Madrid: Grant S2022/BMD-7333-CM otorgado a J.V.
dc.description.sponsorshipFundación Obra Social “la Caixa”: Proyecto AtheroConvergence, grant HR20-00075 otorgado a J.F.B.
dc.description.sponsorshipFundación Obra Social “la Caixa”: Proyecto AtheroConvergence, grant LCF/PR/HR22/52420019 otorgado a J.V.
dc.description.sponsorshipCentro Nacional de Investigaciones Cardiovasculares (CNIC) reconocido como Centro de Excelencia Severo Ochoa: Grant CEX2020001041-S, financiado por MICIN / AEI / 10.13039/501100011033
dc.identifier.citationNogales, P., Velasco, C., González-Cintado, L., Sharysh, D., Mota-Cobián, A., Izquierdo-Serrano, R., Torroja, C., Del Rio-Aledo, D., Morales-Cano, D., Mota, R. A., Benguría, A., Dopazo, A., Sánchez-Cabo, F., Vázquez, J., España, S., Carramolino, L., Mateo, J., & Bentzon, J. F. (2025). Atherosclerotic disease activity is associated with glycolytic enzyme expression across multiple cell types and is trackable by FDG-PET. Science Translational Medicine, 17(811), eado6467. https://doi.org/10.1126/scitranslmed.ado6467
dc.identifier.doi10.1126/scitranslmed.ado6467
dc.identifier.issn1946-6234
dc.identifier.issn1946-6242
dc.identifier.urihttps://hdl.handle.net/11268/16383
dc.language.isoeng
dc.peerreviewedSi
dc.relation.publisherversionhttps://doi.org/10.1126/scitranslmed.ado6467
dc.rights.accessRightsembargoed access
dc.subject.sdgGoal 3: Ensure healthy lives and promote well-being for all at all ages
dc.subject.sdgGoal 4: Quality education
dc.subject.sdgGoal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
dc.subject.unescoCiencias médicas
dc.subject.unescoBiología humana
dc.subject.unescoEnfermedad cardiovascular
dc.titleAtherosclerotic disease activity is associated with glycolytic enzyme expression across multiple cell types and is trackable by FDG-PET
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication

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