The predictability of the metabolic syndrome by adipokines
ISSN: 0034-6659
Article publication date: 10 April 2020
Issue publication date: 28 October 2020
Abstract
Purpose
Obesity 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/approach
In 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.
Findings
Serum 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/value
The 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.
Keywords
Acknowledgements
The authors wish to thank the Student Research Committee of Tabriz University of Medical Sciences for the financial support (Grant No. 58817) and the participants for their cooperation, time and patience.
Authors’ contributions: NLY and FA was the major contributor of the manuscript, designed the research project and agreed for all aspects of the work. SA collected and interpreted the data RSS performed the statistical analysis. RM and AHF made substantial contributions to the data interpretation and wrote the manuscript. All authors read and approved the final version of the manuscript.
Funding: This study was funded by the Student Research Committee of Tabriz University of Medical Sciences.
Ethics approval and consent to participate: The Ethics Committee of the Tabriz University of Medical Science confirmed the study protocol and written informed consent was gathered from all participants.
Competing interests: The authors declare that they have no competing interests.
Corrigendum: It has come to the attention of the publisher that the article Aliasghari, F., Aliasgharzadeh, S., Faghfouri, A.H., Mahdavi, R. and Lotfi Yagin, N. (2020), “The predictability of the metabolic syndrome by adipokines”, Nutrition & Food Science, previously omitted the grant no. and department in the affiliations for all authors. The corrected version has now been added to the online version. The authors sincerely apologise for this.
Citation
Aliasghari, F., Aliasgharzadeh, S., Faghfouri, A.H., Mahdavi, R. and Lotfi Yagin, N. (2020), "The predictability of the metabolic syndrome by adipokines", Nutrition & Food Science, Vol. 50 No. 6, pp. 1255-1266. https://doi.org/10.1108/NFS-12-2019-0363
Publisher
:Emerald Publishing Limited
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