Relationship Between Metabolic Syndrome Components and Proinflammatory Molecules

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dc.catalogadorvzp
dc.contributor.authorAndrea Vecchiola
dc.contributor.authorKillen Garcia
dc.contributor.authorLuis-Martin González-Gómez
dc.contributor.authorAlejandra Tapia-Castillo
dc.contributor.authorRocio Artigas
dc.contributor.authorRene Baudrand
dc.contributor.authorAlexis M Kalergis
dc.contributor.authorCristian A Carvajal
dc.contributor.authorCarlos E Fardella
dc.date.accessioned2024-05-31T13:40:23Z
dc.date.available2024-05-31T13:40:23Z
dc.date.issued2021
dc.description.abstractWe aimed to study the associations of 5 adipocytokines, two endothelial damage markers, and hs-CRP with the MetS components to distinguish the most significant cytokines likely related to distinct metabolic profiles. Methods: Cross-sectional study with 202 Chilean subjects (18–65 years old), categorized by MetS, and No-MetS according to Harmonizing ATP III. Adipocytokines profiling included adiponectin, leptin, hs-CRP, CTRP-1, PAI-1, FABP4, and metalloproteinase (MMP)-9 and MMP-2 activity. Results: Subjects with MetS showed higher levels of the most proinflammatories molecules but significantly lower adiponectin than subjects with No-MetS. Among the studied adipocytokines, PAI-1 and adiponectin showed the strongest associations with most of MetS components. PAI-1 was associate with MetS OR 1.107 [1.065–1.151], p< 0.0001, and adiponectin inversely associated with MetS OR 0.710 [0.610 -0.825], p< 0.0001). Following adjustment by sex, age, BMI, and 24 h sodium urinary excretion in a multivariate analysis, the association of PAI-1 OR 1.090 [1.044–1.137], p< 0.0001) and adiponectin OR 0.634 [0.519 - 0.775], p < 0.0001) with MetS remained significant. Multivariate analyses support a model where PAI-1associate to waist_hip, SBP, DBP, and glucose (all p< 0.0001) and adiponectin associate to TG (p=0.03) and HDL-cholesterol (p=0.0001). Conclusion: PAI-1 and Adiponectin rendered the most robust associations with MetS components in a general population, indicating that unfavourable adipose tissue performance is a key contributor to these metabolic anomalies. Further prospective analyses should allow establishing whether these adipocytokines can anticipate the progress of MetS and cardiovascular risk. Conflict of interest: The authors declared no conflict of interest. Funding: This work was supported by Chilean grants CONICYT Fondo Nacional de Desarrollo Científico y Tecnológico, (FONDECYT) 1160695(CEF) and 1190419(RB); FONDECYT Post-doctorado 3200646(ATC); Millenium Institute of Immunology and Immunotherapy - ICM (P09/16-F)(AK-CEF).
dc.fechaingreso.objetodigital2024-12-13
dc.format.extent2 páginas
dc.fuente.origenORCID
dc.identifier.doi10.1210/jendso/bvab048.049
dc.identifier.urihttps://doi.org/10.1210/jendso/bvab048.049
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86151
dc.information.autorucEscuela de Medicina; Baudrand Biggs, Rene Felipe; 0000-0002-8655-4957; 1024
dc.language.isoen
dc.nota.accesocontenido completo
dc.pagina.finalA26
dc.pagina.inicioA25
dc.revistaJournal of the Endocrine Society
dc.rightsacceso abierto
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.titleRelationship Between Metabolic Syndrome Components and Proinflammatory Molecules
dc.typeartículo
dc.volumen5
sipa.codpersvinculados1024
sipa.trazabilidadORCID;2024-05-27
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