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The influence of endocannabinoid receptor 1 gene variations on anthropometric and metabolic parameters of women with polycystic ovary syndrome
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Abstract
Introduction: Polycystic ovary syndrome (PCOS) is associated with an increasing number of metabolic comorbidities. About 50% of PCOS patients are obese, and insulin resistance affects up to 70% of these women. The endocannabinoid system contributes to human energy homeostasis. CNR1 is a biological candidate for human obesity and related metabolic disorders. The aim of this study was to determine the relationships between CNR1 polymorphisms and anthropometric and metabolic parameters in PCOS women.
Material and methods: 130 women diagnosed with PCOS according to the Rotterdam criteria were recruited. The control group consisted of 70 healthy women. Medical history was taken, and physical examination as well as assessment of anthropometric (body mass, height, waist and hip circumference, BMI, waist-to-hip ratio [WHR]) and metabolic parameters (glucose and insulin, the insulin resistance index HOMA, lipid profile) was carried out. Genetic studies to detect six CNR1 gene polymorphisms were performed.
Results: The total cholesterol and low-density lipoprotein (LDL) cholesterol levels in PCOS women carrying T/T genotype of rs2023239CNR1 polymorphism were higher than in those with C/T and C/C. There were no statistical differences in other metabolic parameters or in the value of BMI and WHR between the variants of rs2023239 CNR1 polymorphism. The other studied polymorphisms of the CNR1 gene were not associated with anthropometric or metabolic parameters in PCOS women. There were no differences in anthropometric or metabolic parameters between the variants of studied polymorphisms of the CNR1 gene in control women.
Conclusions: On the basis of our study, it seems that CNR1 polymorphisms are not associated with obesity and metabolic disorders, including insulin resistance, in PCOS women.
Abstract
Introduction: Polycystic ovary syndrome (PCOS) is associated with an increasing number of metabolic comorbidities. About 50% of PCOS patients are obese, and insulin resistance affects up to 70% of these women. The endocannabinoid system contributes to human energy homeostasis. CNR1 is a biological candidate for human obesity and related metabolic disorders. The aim of this study was to determine the relationships between CNR1 polymorphisms and anthropometric and metabolic parameters in PCOS women.
Material and methods: 130 women diagnosed with PCOS according to the Rotterdam criteria were recruited. The control group consisted of 70 healthy women. Medical history was taken, and physical examination as well as assessment of anthropometric (body mass, height, waist and hip circumference, BMI, waist-to-hip ratio [WHR]) and metabolic parameters (glucose and insulin, the insulin resistance index HOMA, lipid profile) was carried out. Genetic studies to detect six CNR1 gene polymorphisms were performed.
Results: The total cholesterol and low-density lipoprotein (LDL) cholesterol levels in PCOS women carrying T/T genotype of rs2023239CNR1 polymorphism were higher than in those with C/T and C/C. There were no statistical differences in other metabolic parameters or in the value of BMI and WHR between the variants of rs2023239 CNR1 polymorphism. The other studied polymorphisms of the CNR1 gene were not associated with anthropometric or metabolic parameters in PCOS women. There were no differences in anthropometric or metabolic parameters between the variants of studied polymorphisms of the CNR1 gene in control women.
Conclusions: On the basis of our study, it seems that CNR1 polymorphisms are not associated with obesity and metabolic disorders, including insulin resistance, in PCOS women.
Keywords
polycystic ovary syndrome; endocannabinoid system; CNR1 polymorphism
About this articleTitle
The influence of endocannabinoid receptor 1 gene variations on anthropometric and metabolic parameters of women with polycystic ovary syndrome
Journal
Issue
Article type
Original paper
Pages
181-188
Published online
2014-06-27
Page views
1765
Article views/downloads
1980
DOI
10.5603/EP.2014.0025
Bibliographic record
Endokrynol Pol 2014;65(3):181-188.
Keywords
polycystic ovary syndrome
endocannabinoid system
CNR1 polymorphism
Authors
Agnieszka Lenarcik-Kabza
Łukasz Łaczmański
Andrzej Milewicz
Bożena Bidzińska-Speichert
Maurycy Pawlak
Katarzyna Kolackov
Justyna Kuliczkowska-Płaksej
Anna Trzmiel-Bira
Anna Brona
