Association of single-nucleotide polymorphisms rs2197076 and rs2241883 of FABP1 gene with polycystic ovary syndrome

Fatty Acid Profile and Genetic Variants of Proteins Involved in Fatty Acid Metabolism Could Be Considered as Disease Predictor

Circulating fatty acids (FA) have an endogenous or exogenous origin and are metabolized under the effect of many enzymes. They play crucial roles in many mechanisms: cell signaling, modulation of gene expression, etc., which leads to the hypothesis that their perturbation could be the cause of disease development. FA in erythrocytes and plasma rather than dietary FA could be used as a biomarker for many diseases. Cardiovascular disease was associated with elevated trans FA and decreased DHA and EPA. Increased arachidonic acid and decreased Docosahexaenoic Acids (DHA) were associated with Alzheimer's disease. Low Arachidonic acid and DHA are associated with neonatal morbidities and mortality. Decreased saturated fatty acids (SFA), increased monounsaturated FA (MUFA) and polyunsaturated FA (PUFA) (C18:2 n-6 and C20:3 n-6) are associated with cancer. Additionally, genetic polymorphisms in genes coding for enzymes implicated in FA metabolism are associated with disease development. FA desaturase (FADS1 and FADS2) polymorphisms are associated with Alzheimer's disease, Acute Coronary Syndrome, Autism spectrum disorder and obesity. Polymorphisms in FA elongase (ELOVL2) are associated with Alzheimer's disease, Autism spectrum disorder and obesity. FA-binding protein polymorphism is associated with dyslipidemia, type 2 diabetes, metabolic syndrome, obesity, hypertension, non-alcoholic fatty liver disease, peripheral atherosclerosis combined with type 2 diabetes and polycystic ovary syndrome. Acetyl-coenzyme A carboxylase polymorphisms are associated with diabetes, obesity and diabetic nephropathy. FA profile and genetic variants of proteins implicated in FA metabolism could be considered as disease biomarkers and may help with the prevention and management of diseases.

Nonalcoholic Fatty Liver Disease in Women and Girls With Polycystic Ovary Syndrome

CONTEXT

Nonalcoholic fatty liver disease (NAFLD) describes a spectrum of liver damage due to excessive hepatic lipid accumulation. Recent research has demonstrated a high prevalence of NAFLD in women with polycystic ovary syndrome (PCOS).

RESULTS

Strong associations independent of body mass index (BMI) have been found between high androgen levels characteristic of PCOS, as well as insulin resistance, and the presence of NAFLD in these women, suggesting that these factors contribute to liver injury more significantly than obesity. Current studies indicate the occurrence of NAFLD in normal weight women with PCOS in addition to the commonly researched women who are overweight and obese. While the majority of studies address NAFLD in adult, premenopausal women (ages 25-40 years), the occurrence of NAFLD in young and adolescent women has gone largely unaddressed. Research in this field lacks diversity; a majority of studies either focus on populations of White women or are missing demographic information entirely.

CONCLUSIONS

Future studies should include larger, more racially and ethnically inclusive populations and particular attention should be paid to how excess androgens and insulin resistance contribute to the increased risk of NAFLD seen in women with PCOS of varying weights, ages, and ethnicities.

OBJECTIVE AND METHODS

Here, we review NAFLD in women with PCOS with subsections focused on the impact of hyperandrogenism, BMI, insulin resistance and age. Most notably, we present the most up-to-date racially and ethnically diverse worldwide prevalence of NAFLD in women with PCOS compared with women without PCOS (51.56% vs 29.64%, P < .001, respectively).

The association between a Fatty Acid Binding Protein 1 (FABP1) gene polymorphism and serum lipid abnormalities in the MASHAD cohort study

INTRODUCTION

Dyslipidemia is a known risk factor for cardiovascular disease and is partially determined by genetic variations in the genes involved in lipoprotein metabolism. Therefore, we aimed to assess the association between a polymorphism of the Fatty Acid Binding Protein1 (rs2241883) gene locus and dyslipidemia in an Iranian cohort.

MATERIALS AND METHODS

This is a case-control study 2737 individuals were recruited (2203 subjects with dyslipidemia and 534 controls). Dyslipidemia was defined as total cholesterol≥200 mg/dl, or TG≥150 mg/dl, or LDL-C≥130 mg/dl, or HDL-C<40 mg/dl in males and <50 mg/dl in females. Serum lipid profile was determined using a Alcyon Abbott biochemical auto analyzer, USA. Genotyping was made through double amplification refractory mutation system polymerase chain reaction (ARMs PCR).

RESULT

The frequency of TT, CT, CC genotypes of rs2241883 polymorphism of FABP1 gene were 65.5, 33.4, 5.1 in subjects with dyslipidemia and 56.9%, 40.4%, 2.6% in subjects without dyslipidemia, respectively. Using a dominant genetic model, subjects carrying C allele (CC&CT genotypes) had a 22% lower risk of dyslipidemia (OR: 0.78, CI 95%: 0.62-0.98 P, 0.03). Individuals with CT vs. TT genotypes had a significantly lower risk of a high serum TC and LDL level. Further analysis showed that there was a positive association between FABP1 genotype (CT) and isolated HTG as well as combined dyslipidemia. The change of a polar amino acid (threonine) in position T94A to a hydrophobic amino acid (alanine) can cause transformation protein.

CONCLUSIONS

A CC genotype of the rs2241883 polymorphism of the FABP1 gene appears to confer a higher risk of dyslipidemia in our representative cohort of Iranian individuals.

FABP1 gene variant associated with risk of metabolic syndrome

BACKGROUND

Metabolic Syndrome (MetS) is defined by a clustering of metabolic abnormalities associated with an increased risk of cardiovascular disease and type 2 diabetes mellitus. There has been an increasing interest in the associations of genetic variants involved in diabetes and obesity in the FABP1 pathway. The relationship between the rs2241883 polymorphism of FABP1 and risk of MetS remains unclear.

OBJECTIVE

We aimed to examine the association between this genetic polymorphism and the presence of MetS and its constituent factors.

METHODS

A total of 942 participants were recruited as part of the Mashhad Stroke and Heart Atherosclerosis Disorders (MASHAD study) Cohort. Patients with MetS were identified using the International Diabetes Federation (IDF) criteria (n=406) and those without MetS (n=536) were also recruited. DNA was extracted from peripheral blood samples and used for genotyping of the FABP1 rs2241883T/C polymorphism using Tetra-Amplification Refractory Mutation System Polymerase Chain Reaction (Tetra-ARMS PCR). Genetic analysis was confirmed by gel electrophoresis and DNA sequencing.

RESULTS

Using both univariate and multivariate analyses after adjusting for age, sex and physical activity, carriers of C allele (CT/CC genotypes) in FABP1 variant were related to an increased risk of MetS, compared to non-carriers (OR: 1.38, 95%CI: 1.04,1.82, p=0.026).

CONCLUSION

The present study shows that C allele in the FABP1 variant can be associated with an increased risk of MetS. The evaluation of these factors in a larger population may help further confirm these findings.

Common cytokine polymorphisms and predisposition to polycystic ovary syndrome: a meta-analysis

The results of studies on the relationship between cytokine polymorphisms and polycystic ovary syndrome (PCOS) have been controversial. This meta-analysis was thus designed to more precisely assess the relationship between TNF-α/IL-1/IL-6/IL-10 polymorphisms and PCOS by pooling the results of published studies. A search of PubMed, Embase, Web of Science, and CNKI databases turned up 23 studies that were pooled and analyzed in this meta-analysis. The overall results showed that the distributions of TNF-α -238 G/A, TNF-α -857 C/T, and IL-1B -51 C/T polymorphisms among patients and controls differed significantly. Additionally, the distributions of TNF-α -308 G/A and IL-1B -51 C/T polymorphisms among patients and controls from Asian populations differed significantly, whereas the distributions of IL-6 -174 G/C and IL-1A -889 C/T polymorphisms among patients and controls from Caucasian populations also differed significantly. In conclusion, our meta-analysis demonstrated that TNF-α -238 G/A, TNF-α -857 C/T, and IL-1B -51 C/T polymorphisms might influence susceptibility to PCOS in the overall pooled population. Moreover, TNF-α -308 G/A and IL-1B -51 C/T polymorphisms might influence susceptibility to PCOS in Asians, whereas IL-6 -174 G/C and IL-1A -889 C/T polymorphisms might influence susceptibility to PCOS in Caucasians.

A meta-analysis on associations of FTO, MTHFR and TCF7L2 polymorphisms with polycystic ovary syndrome

BACKGROUND

We aimed to better clarify the relationship between FTO/MTHFR/TCF7L2 polymorphisms and PCOS in a larger combined population by performing a meta-analysis.

METHODS

Eligible articles were retrieved from Pubmed, Embase, Web of Science and CNKI. Review Manager Version was used to perform statistical analyses.

RESULTS

Forty-six studies were included for this meta-analysis. FTO rs9939609 polymorphism was found to be significantly associated with PCOS under dominant, recessive, over-dominant and allele comparisons, MTHFR rs1801131 polymorphism was found to be significantly associated with PCOS under recessive and allele comparisons, and MTHFR rs1801133 polymorphism was also found to be significantly associated with PCOS under dominant, recessive and allele comparisons in general population. In subgroup analyses, we found that positive results were mainly driven by the Asians.

CONCLUSIONS

Collectively, this meta-analysis proved that FTO rs9939609, MTHFR rs1801131 and MTHFR rs1801133 polymorphisms may serve as predisposing factors of PCOS, especially for Asians.

Exome-wide survey of the Siberian Caucasian population

BACKGROUND

Population structure is an important factor in the genetic association studies but often remains underexplored for many human populations. We identified exome variants in 39 Siberian Caucasian individuals from Novosibirsk, Russia and compared their genetic allele frequencies with European populations from 1000 Genomes Project.

METHODS

The study participants were from Novosibirsk and represented people with monogenic diabetes, healthy individuals and a cohort from the tick-borne encephalitis study. Isolated DNA was enriched using Agilent SureSelect V5 kit and sequenced on Illumina HiSeq 4000 and genetic variants were identified using GATK pipeline. To estimate the patterns of the population structure we used PCA and ADMIXTURE analysis. Pharmocogenetically and medically important variants were annotated based on PharmGKB and ClinVar databases.

RESULTS

The analysis identified low, but highly significant population differentiation attributed to numerous loci between the Siberian Caucasian population and other European population samples as well as a higher proportion of the Finnish genetic component in the studied sample. The medical and pharmacogenetic annotation of highly significantly differentiated variants between the Novosibirsk and the combined European populations revealed a number of important genetic polymorphisms located in such genes as FCGR3B, TYR, OCA2, FABP1, CHEK2 and SLC4A1.

CONCLUSIONS

The study reports for the first time an exome-wide comparison of a population from Russia with European samples and emphasizes the importance of population studies with medical annotation of variants.

Association of IL-1β, IL-1Ra and FABP1 gene polymorphisms with the metabolic features of polycystic ovary syndrome

BACKGROUND

Polycystic ovary syndrome (PCOS), a highly prevalent endocrinopathy is currently being designated as chronic low grade inflammatory state. IL-1β, IL-1Ra and FABP1 are critical mediators of inflammatory processes and are speculated to play a role in the pathogenesis of PCOS. The aim of this study was to study the association of IL-β, IL-1Ra and FABP1 gene polymorphisms with PCOS and related metabolic features.

SUBJECTS

95 PCOS and 45 age matched healthy control subjects were enrolled in this study.

METHODS

Polymorphism in genes IL-1β, IL-1Ra and FABP1 was studied by PCR, PCR-RFLP and sequencing methods, respectively. Hormonal and lipid profiles were evaluated for all the subjects.

RESULTS

Hormonal and lipid profiles showed significant differences between PCOS and control subjects. Allele and genotype frequencies of IL-1β, IL-1Ra and FABP1 gene polymorphisms did not vary between the control and PCOS group. However, T allele of C[-511]T variant of IL-1β, allele II in intron 2 of IL-1Ra and A allele of A/G variant of FABP1 (rs2197076) showed significant association with many metabolic features associated with PCOS.

CONCLUSIONS

Polymorphism in genes encoding cytokines and proteins involved in lipid metabolism can provide insights into the genetics of the disease and may contribute to assess the associated risk of cardiovascular diseases (CVD), dyslipidemia and metabolic syndrome (MetS) associated with PCOS.