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Cardiometabolic Proteins Associated with Metabolic Syndrome
Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Klinisk epidemiologi.ORCID-id: 0000-0003-2335-8542
Lund Univ, Malmo Univ Hosp, Dept Clin Sci, Div Geriatr Med, Malmo, Sweden.
Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för medicinska vetenskaper, Molekylär epidemiologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab. Stanford Univ, Sch Med, Dept Med, Div Cardiovasc Med, Stanford, CA 94305 USA;Stanford Univ, Stanford Cardiovasc Inst, Stanford, CA 94305 USA.ORCID-id: 0000-0003-2256-6972
2019 (engelsk)Inngår i: Metabolic Syndrome and Related Disorders, ISSN 1540-4196, E-ISSN 1557-8518, Vol. 17, nr 5, s. 272-279Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Background: Although metabolic syndrome (MetS) was described in the late 80s, the molecular mechanisms underlying clustering of risk factors in certain individuals are not fully understood. The present study used targeted proteomics to establish cardiometabolic proteins related to all MetS components, thereby providing new hypotheses regarding pathways involved in the pathogenesis of MetS.

Methods: In the EpiHealth study, 249 cardiometabolic proteins were measured by proximity extension assay (PEA) and related to the five MetS components [consensus-modified National Cholesterol Education Program (NCEP) criteria] in 2,444 participants aged 45-75 years (50% women).

Results: Thirty-one proteins were associated with systolic blood pressure following adjustment for age and sex (P < 0.000040, taking multiple testing into account). The corresponding number of proteins significantly associated with fasting glucose, waist circumference, high-density lipoprotein cholesterol, and serum triglycerides were 58, 132, 127, and 148. Twenty-two proteins were significantly related to all 5 MetS components, and of those, 20 were with MetS as a binary outcome (n = 600, 24% of the sample) following adjustment for age, sex, fat mass, and lifestyle factors (alcohol intake, smoking, education, and exercise habits).

Conclusion: Using targeted proteomics, we identified 20 proteins reflecting a range of pathways, such as immunomodulation at different levels; regulation of adipocyte differentiation; lipid, carbohydrate, and amino acid metabolism; or insulin-like growth factor signaling, to be strongly associated with MetS independently of fat mass and lifestyle factors. Whether some of these proteins are causally involved in the pathogenesis of clustering of multiple risk factors in the same individual remains to be investigated.

sted, utgiver, år, opplag, sider
2019. Vol. 17, nr 5, s. 272-279
Emneord [en]
metabolic syndrome, proteomics, epidemiology
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-380437DOI: 10.1089/met.2018.0123ISI: 000461504000001PubMedID: 30883260OAI: oai:DiVA.org:uu-380437DiVA, id: diva2:1299710
Tilgjengelig fra: 2019-03-28 Laget: 2019-03-28 Sist oppdatert: 2019-12-18bibliografisk kontrollert

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