Cargando…
FADS Polymorphisms Affect the Clinical and Biochemical Phenotypes of Metabolic Syndrome
Long-chain polyunsaturated fatty acids (LC-PUFAs) play important roles in human health, from controlling inflammation to lipid and glucose homeostasis. In our previous study, which employed a cluster analysis of a plasma fatty acid (FA) pattern, we identified two clusters of metabolic syndrome (MetS...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228863/ https://www.ncbi.nlm.nih.gov/pubmed/35736500 http://dx.doi.org/10.3390/metabo12060568 |
_version_ | 1784734587047378944 |
---|---|
author | Žák, Aleš Jáchymová, Marie Burda, Michal Staňková, Barbora Zeman, Miroslav Slabý, Adolf Vecka, Marek Šeda, Ondřej |
author_facet | Žák, Aleš Jáchymová, Marie Burda, Michal Staňková, Barbora Zeman, Miroslav Slabý, Adolf Vecka, Marek Šeda, Ondřej |
author_sort | Žák, Aleš |
collection | PubMed |
description | Long-chain polyunsaturated fatty acids (LC-PUFAs) play important roles in human health, from controlling inflammation to lipid and glucose homeostasis. In our previous study, which employed a cluster analysis of a plasma fatty acid (FA) pattern, we identified two clusters of metabolic syndrome (MetS) independent of clinical and biochemical parameters within the whole study group (controls together with metabolic syndrome (MetS) patients). FA desaturase (FADS) genes are the key regulators of LC-PUFA metabolism. The aim of this study was to analyze associations between FADS polymorphisms and clusters of MetS. The study group consisted of 188 controls and 166 patients with MetS. The first cluster contained 71 controls (CON1) and 109 MetS patients (MetS1). The second cluster consisted of 117 controls (CON2) and 57 MetS patients (MetS2). In comparison with MetS2, cluster MetS1 displayed a more adverse risk profile. Cluster CON1 had, in comparison with CON2, higher body weight and increased triacylglycerol levels (p < 0.05). We found that the FADS rs174537 (p < 0.001), rs174570 (p < 0.01), and rs174602 (p < 0.05) polymorphisms along with two inferred haplotypes had statistically significant genotype associations with the splitting of MetS into MetS1 and MetS2. Conversely, we observed no significant differences in the distribution of FADS polymorphisms between MetS and CON subjects, or between CON1 and CON2. These associations between FADS polymorphisms and two clusters of MetS (differing in waist circumference, HOMA-IR, lipolysis, and oxidative stress) implicate the important influence of genetic factors on the phenotypic manifestation of MetS. |
format | Online Article Text |
id | pubmed-9228863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92288632022-06-25 FADS Polymorphisms Affect the Clinical and Biochemical Phenotypes of Metabolic Syndrome Žák, Aleš Jáchymová, Marie Burda, Michal Staňková, Barbora Zeman, Miroslav Slabý, Adolf Vecka, Marek Šeda, Ondřej Metabolites Article Long-chain polyunsaturated fatty acids (LC-PUFAs) play important roles in human health, from controlling inflammation to lipid and glucose homeostasis. In our previous study, which employed a cluster analysis of a plasma fatty acid (FA) pattern, we identified two clusters of metabolic syndrome (MetS) independent of clinical and biochemical parameters within the whole study group (controls together with metabolic syndrome (MetS) patients). FA desaturase (FADS) genes are the key regulators of LC-PUFA metabolism. The aim of this study was to analyze associations between FADS polymorphisms and clusters of MetS. The study group consisted of 188 controls and 166 patients with MetS. The first cluster contained 71 controls (CON1) and 109 MetS patients (MetS1). The second cluster consisted of 117 controls (CON2) and 57 MetS patients (MetS2). In comparison with MetS2, cluster MetS1 displayed a more adverse risk profile. Cluster CON1 had, in comparison with CON2, higher body weight and increased triacylglycerol levels (p < 0.05). We found that the FADS rs174537 (p < 0.001), rs174570 (p < 0.01), and rs174602 (p < 0.05) polymorphisms along with two inferred haplotypes had statistically significant genotype associations with the splitting of MetS into MetS1 and MetS2. Conversely, we observed no significant differences in the distribution of FADS polymorphisms between MetS and CON subjects, or between CON1 and CON2. These associations between FADS polymorphisms and two clusters of MetS (differing in waist circumference, HOMA-IR, lipolysis, and oxidative stress) implicate the important influence of genetic factors on the phenotypic manifestation of MetS. MDPI 2022-06-20 /pmc/articles/PMC9228863/ /pubmed/35736500 http://dx.doi.org/10.3390/metabo12060568 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Žák, Aleš Jáchymová, Marie Burda, Michal Staňková, Barbora Zeman, Miroslav Slabý, Adolf Vecka, Marek Šeda, Ondřej FADS Polymorphisms Affect the Clinical and Biochemical Phenotypes of Metabolic Syndrome |
title | FADS Polymorphisms Affect the Clinical and Biochemical Phenotypes of Metabolic Syndrome |
title_full | FADS Polymorphisms Affect the Clinical and Biochemical Phenotypes of Metabolic Syndrome |
title_fullStr | FADS Polymorphisms Affect the Clinical and Biochemical Phenotypes of Metabolic Syndrome |
title_full_unstemmed | FADS Polymorphisms Affect the Clinical and Biochemical Phenotypes of Metabolic Syndrome |
title_short | FADS Polymorphisms Affect the Clinical and Biochemical Phenotypes of Metabolic Syndrome |
title_sort | fads polymorphisms affect the clinical and biochemical phenotypes of metabolic syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228863/ https://www.ncbi.nlm.nih.gov/pubmed/35736500 http://dx.doi.org/10.3390/metabo12060568 |
work_keys_str_mv | AT zakales fadspolymorphismsaffecttheclinicalandbiochemicalphenotypesofmetabolicsyndrome AT jachymovamarie fadspolymorphismsaffecttheclinicalandbiochemicalphenotypesofmetabolicsyndrome AT burdamichal fadspolymorphismsaffecttheclinicalandbiochemicalphenotypesofmetabolicsyndrome AT stankovabarbora fadspolymorphismsaffecttheclinicalandbiochemicalphenotypesofmetabolicsyndrome AT zemanmiroslav fadspolymorphismsaffecttheclinicalandbiochemicalphenotypesofmetabolicsyndrome AT slabyadolf fadspolymorphismsaffecttheclinicalandbiochemicalphenotypesofmetabolicsyndrome AT veckamarek fadspolymorphismsaffecttheclinicalandbiochemicalphenotypesofmetabolicsyndrome AT sedaondrej fadspolymorphismsaffecttheclinicalandbiochemicalphenotypesofmetabolicsyndrome |