Dataset Information

Insulin resistance is associated with depression risk in polycystic ovary syndrome.

ABSTRACT:

Objective

To test the hypothesis that insulin resistance is associated with depression risk in polycystic ovary syndrome (PCOS).

Design

Secondary analysis of data from a multicenter randomized trial.

Setting

Multicenter university-based clinical practices.

Patient(s)

Seven hundred thirty-eight women with PCOS by modified Rotterdam criteria seeking pregnancy enrolled in a randomized clinical trial comparing clomiphene citrate versus letrozole.

Intervention(s)

The Primary Care Evaluation of Mental Disorders Patient Health Questionnaire was self-administered to identify depression using a validated algorithm at enrollment. Demographic and anthropometric data were collected, and serum assays were performed. Insulin resistance was estimated using the homeostatic model of insulin resistance (HOMA-IR), with a cutoff of >2.2 considered abnormal.

Main outcome measure(s)

Demographic, endocrine, and metabolic parameters associated with depression.

Result(s)

In a univariate logistic regression analysis, elevated HOMA-IR was associated with 2.3-fold increased odds of depression (odds ratio [OR] = 2.32; 95% confidence interval [CI], 1.28-4.21). This association remained significant after controlling for age and body mass index (adjusted OR [aOR] = 2.23; 95% CI, 1.11-4.46) and in a model including additional potential confounders (aOR = 2.03; 95% CI, 1.00-4.16).

Conclusion(s)

Insulin resistance has a strong and independent association with depression in PCOS and may serve as a physiologic mediator. Our findings corroborate a growing body of evidence linking insulin resistance to depressed mood. The association between insulin resistance and depressed mood warrants further investigation to elucidate mechanisms and identify potential therapeutic targets.

SUBMITTER: Greenwood EA

PROVIDER: S-EPMC6392023 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Insulin resistance is associated with depression risk in polycystic ovary syndrome.

Greenwood Eleni A EA Pasch Lauri A LA Cedars Marcelle I MI Legro Richard S RS Eisenberg Esther E Huddleston Heather G HG

Fertility and sterility 20180613 1

<h4>Objective</h4>To test the hypothesis that insulin resistance is associated with depression risk in polycystic ovary syndrome (PCOS).<h4>Design</h4>Secondary analysis of data from a multicenter randomized trial.<h4>Setting</h4>Multicenter university-based clinical practices.<h4>Patient(s)</h4>Seven hundred thirty-eight women with PCOS by modified Rotterdam criteria seeking pregnancy enrolled in a randomized clinical trial comparing clomiphene citrate versus letrozole.<h4>Intervention(s)</h4>T ...[more]

PMID: 29908775

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Project description:Polycystic ovary syndrome (PCOS) is a common metabolic and reproductive disorder with an increasing risk for type 2 diabetes. Insulin resistance is a common feature of women with PCOS, but the underlying molecular mechanism remains unclear. This study aimed to screen critical long non-coding RNAs (lncRNAs) that might play pivotal roles in insulin resistance, which could provide candidate biomarkers and potential therapeutic targets for PCOS. Gene expression profiles of the skeletal muscle in patients with PCOS accompanied by insulin resistance and healthy patients were obtained from the publicly available Gene Expression Omnibus (GEO) database. A global triple network including RNA-binding protein, mRNA, and lncRNAs was constructed based on the data from starBase. Then, we extracted an insulin resistance-associated lncRNA-mRNA network (IRLMN) by integrating the data from starBase and GEO. We also performed a weighted gene co-expression network analysis (WGCNA) on the differentially expressed genes between the women with and without PCOS, to identify hub lncRNAs. Additionally, the findings of key lncRNAs were examined in an independent GEO dataset. The expression level of lncRNA RP11-151A6.4 in ovarian granulosa cells was increased in patients with PCOS compared with that in control women. Levels were also increased in PCOS patients with higher BMI, hyperinsulinemia, and higher HOMA-IR values. As a result, RP11-151A6.4 was identified as a hub lncRNA based on IRLMN and WGCNA and was highly expressed in ovarian granulosa cells, skeletal muscle, and subcutaneous and omental adipose tissues of patients with insulin resistance. This study showed the differences between lncRNA and mRNA profiles from healthy women and women with PCOS and insulin resistance. Here, we demonstrated that RP11-151A6.4 might play a vital role in insulin resistance, androgen excess, and adipose dysfunction in patients with PCOS. Further study concerning RP11-151A6.4 could elucidate the underlying mechanisms of insulin resistance.

Project description:Background: Polycystic ovary syndrome (PCOS) is commonly associated with metabolic abnormalities such as hyperinsulinemia, insulin resistance and obesity. The genetic variants of genes regulating insulin action, expression and regulation are suggested as possible factors involved in development and severity of clinical manifestations in PCOS. Aim: We investigated whether IRS-1Gly972Arg (rs1801278) polymorphism is associated with increased risk of PCOS in Kashmiri women. The correlation of various clinical, metabolic and hormonal markers with rs1801278 single nucleotide polymorphism was analyzed. The genotypic−phenotypic association of clinical manifestations of PCOS with the tested genetic variant was also assessed. Results: There were no significant differences in allele frequency (OR = 0.87, CI = 0.59−1.29, χ2 = 0.456, p = 0.499) or genotypic distribution (χ2 = 3.73, p = 0.15) between PCOS women and controls. No significant association was also found in the dominant (OR = 1.63, χ2 = 0.377, p = 0.53), recessive (OR = 0.79, χ2 = 1.01, p = 0.31) or heterozygote vs. homozygote (OR = 1.34, χ2 = 1.53, p = 0.22) genotype model analysis. The genotype−phenotype correlation analysis showed that the Arg allele was significantly associated with increased central adiposity markers hip circumference (p = 0.012), and body adiposity index BAI (p = 0.002) in the recessive model in PCOS women. The two-hour glucose (p = 0.04) and insulin resistance marker HOMA (p = 0.44) were significantly higher in Arg allele carriers. The androgen excess markers dehydroepiandrosterone sulfate DHEAS (p = 0.02), Ferriman−Gallwey score (p = 0.012), prevalence of acne, alopecia and hirsutism (all p < 0.01) were significantly elevated in the wild-type GG genotype. Conclusions:IRS-1Gly972Arg genetic variant does not increase the risk of PCOS in Kashmiri women. However, this polymorphism is associated with clinical manifestations of insulin resistance, obesity and hyperandrogenism, suggesting its possible role in variable phenotypic manifestations of PCOS.

Dataset Information

Insulin resistance is associated with depression risk in polycystic ovary syndrome.

Objective

Design

Setting

Patient(s)

Intervention(s)

Main outcome measure(s)

Result(s)

Conclusion(s)

Publications

Insulin resistance is associated with depression risk in polycystic ovary syndrome.

Similar Datasets

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