The predictability of the metabolic syndrome by adipokines
| Autor: | Fereshteh Aliasghari, Reza Mahdavi, Soghra Aliasgharzadeh, Neda Lotfi Yagin, Amir Hossein Faghfouri |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Nutrition and Dietetics Waist Adiponectin business.industry Insulin medicine.medical_treatment Adipokine 030209 endocrinology & metabolism 030204 cardiovascular system & hematology medicine.disease Obesity 03 medical and health sciences 0302 clinical medicine Endocrinology Internal medicine medicine Resistin Metabolic syndrome business National Cholesterol Education Program Food Science |
| Zdroj: | Nutrition & Food Science. 50:1255-1266 |
| ISSN: | 0034-6659 |
| DOI: | 10.1108/nfs-12-2019-0363 |
| Popis: | PurposeObesity can cause impairment in adipose tissue-derived hormones levels, which, in turn, might lead to metabolic syndrome occurrence. This study aims to assess the relationship between the levels of adiponectin, resistin, retinol-binding protein 4 (RBP4) and insulin with metabolic syndrome (MetS) indices. Also, optimal cutoff points of the adipokines and insulin for MetS prediction were determined.Design/methodology/approachIn this study, 180 women (90 women with MetS and 90 women without MetS) were studied. The National Cholesterol Education Program Adult Treatment Panel III criteria were used for MetS diagnosis. Anthropometric and biochemical indices were measured. Data were analyzed using SPSS software version 21.FindingsSerum adiponectin correlated negatively with age, BMI, waist circumference (WC), triglyceride (TG), total cholesterol, SBP, DBP, FBS and positively correlated with high-density lipoprotein-cholesterol. Both resistin and RBP4 levels correlated positively with BMI, WC, TG, SBP, DBP and FBS. Also, serum insulin correlated positively with BMI, WC, SBP and DBP. All the studied adipokines and insulin showed significant areas under the receiver operating characteristics curve. The largest area under the curve was observed for adiponectin (0.93, 95 per cent CI = 0.89-0.97,p< 0.001) with the optimal cut-off point of 11.94 µg/L. Also, the upper level of adiponectin was associated with 70 per cent lower prevalence odds of metabolic syndrome after adjusting for confounders.Originality/valueThe authors determined the optimal cutoff points of the adipokines and insulin for MetS prediction and calculated the diagnostic odds ratio for various cutoff values. Adiponectin could be used as a biomarker in MetS regarding its largest AUC. |
| Databáze: | OpenAIRE |
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