<i>FADS</i> Polymorphisms Affect the Clinical and Biochemical Phenotypes of Metabolic Syndrome
Aleš Žák,
Marie Jáchymová,
Michal Burda,
Barbora Staňková,
Miroslav Zeman,
Adolf Slabý,
Marek Vecka,
Ondřej Šeda
Affiliations
Aleš Žák
4th Department of Medicine, 1st Medical Faculty, Charles University and the General University Hospital in Prague, 128 08 Prague, Czech Republic
Marie Jáchymová
Institute of Clinical Chemistry and Laboratory Diagnostics, 1st Medical Faculty, Charles University and the General University Hospital in Prague, 128 08 Prague, Czech Republic
Michal Burda
Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 701 03 Ostrava, Czech Republic
Barbora Staňková
4th Department of Medicine, 1st Medical Faculty, Charles University and the General University Hospital in Prague, 128 08 Prague, Czech Republic
Miroslav Zeman
4th Department of Medicine, 1st Medical Faculty, Charles University and the General University Hospital in Prague, 128 08 Prague, Czech Republic
Adolf Slabý
4th Department of Medicine, 1st Medical Faculty, Charles University and the General University Hospital in Prague, 128 08 Prague, Czech Republic
Marek Vecka
4th Department of Medicine, 1st Medical Faculty, Charles University and the General University Hospital in Prague, 128 08 Prague, Czech Republic
Ondřej Šeda
Institute of Biology and Medical Genetics, 1st Medical Faculty, Charles University and the General University Hospital in Prague, 128 00 Prague, Czech Republic
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 FADS rs174537 (p p p 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.