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Proteins associated with incident metabolic syndrome in population-based cohorts

BACKGROUND: The metabolic syndrome (MetS) identifies persons with clustering of multiple cardiometabolic risk factors. The underlying pathology inducing this clustering is not fully known. We used a targeted proteomics assay to identify associations of circulating proteins with MetS and its componen...

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Detalles Bibliográficos
Autores principales: Lind, Lars, Sundström, Johan, Ärnlöv, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579529/
https://www.ncbi.nlm.nih.gov/pubmed/34758886
http://dx.doi.org/10.1186/s13098-021-00752-2
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author Lind, Lars
Sundström, Johan
Ärnlöv, Johan
author_facet Lind, Lars
Sundström, Johan
Ärnlöv, Johan
author_sort Lind, Lars
collection PubMed
description BACKGROUND: The metabolic syndrome (MetS) identifies persons with clustering of multiple cardiometabolic risk factors. The underlying pathology inducing this clustering is not fully known. We used a targeted proteomics assay to identify associations of circulating proteins with MetS and its components, cross-sectionally and longitudinally. METHODS: We explored and validated associations of 86 cardiovascular proteins, assessed using a proximity extension assay, with the MetS in two independent cohorts; the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS, n = 996) and Uppsala Longitudinal Study of Adult Men (ULSAM, n = 785). The analyses were adjusted for smoking, exercise habits, education, and energy and alcohol intake. RESULTS: Nine proteins were associated with all five components of the MetS in PIVUS using FDR < 0.05 in a cross-sectional analysis. Of those nine proteins, only Interleukin-1 receptor antagonist protein (IL-1RA) was associated with all five components of the MetS in ULSAM using p < 0.05. IL-1RA levels were associated with incident MetS (n = 109) in PIVUS during a 5-year follow-up (HR 1.76 for a 1 SD change (95% CI 1.38, 2.24), p = 4.3*10(–6)). IL-1RA was however not causally related to MetS in a two-sample Mendelian randomization analysis using published data. CONCLUSION: Circulating IL-1RA was related to all five components of the MetS in a cross-sectional analysis in two independent samples, as well as to incident MetS in a longitudinal analysis. However, Mendelian randomization analyses did not provide support for a causal role for IL-1RA in the development of MetS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-021-00752-2.
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spelling pubmed-85795292021-11-10 Proteins associated with incident metabolic syndrome in population-based cohorts Lind, Lars Sundström, Johan Ärnlöv, Johan Diabetol Metab Syndr Research BACKGROUND: The metabolic syndrome (MetS) identifies persons with clustering of multiple cardiometabolic risk factors. The underlying pathology inducing this clustering is not fully known. We used a targeted proteomics assay to identify associations of circulating proteins with MetS and its components, cross-sectionally and longitudinally. METHODS: We explored and validated associations of 86 cardiovascular proteins, assessed using a proximity extension assay, with the MetS in two independent cohorts; the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS, n = 996) and Uppsala Longitudinal Study of Adult Men (ULSAM, n = 785). The analyses were adjusted for smoking, exercise habits, education, and energy and alcohol intake. RESULTS: Nine proteins were associated with all five components of the MetS in PIVUS using FDR < 0.05 in a cross-sectional analysis. Of those nine proteins, only Interleukin-1 receptor antagonist protein (IL-1RA) was associated with all five components of the MetS in ULSAM using p < 0.05. IL-1RA levels were associated with incident MetS (n = 109) in PIVUS during a 5-year follow-up (HR 1.76 for a 1 SD change (95% CI 1.38, 2.24), p = 4.3*10(–6)). IL-1RA was however not causally related to MetS in a two-sample Mendelian randomization analysis using published data. CONCLUSION: Circulating IL-1RA was related to all five components of the MetS in a cross-sectional analysis in two independent samples, as well as to incident MetS in a longitudinal analysis. However, Mendelian randomization analyses did not provide support for a causal role for IL-1RA in the development of MetS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-021-00752-2. BioMed Central 2021-11-10 /pmc/articles/PMC8579529/ /pubmed/34758886 http://dx.doi.org/10.1186/s13098-021-00752-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lind, Lars
Sundström, Johan
Ärnlöv, Johan
Proteins associated with incident metabolic syndrome in population-based cohorts
title Proteins associated with incident metabolic syndrome in population-based cohorts
title_full Proteins associated with incident metabolic syndrome in population-based cohorts
title_fullStr Proteins associated with incident metabolic syndrome in population-based cohorts
title_full_unstemmed Proteins associated with incident metabolic syndrome in population-based cohorts
title_short Proteins associated with incident metabolic syndrome in population-based cohorts
title_sort proteins associated with incident metabolic syndrome in population-based cohorts
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579529/
https://www.ncbi.nlm.nih.gov/pubmed/34758886
http://dx.doi.org/10.1186/s13098-021-00752-2
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