Dataset Information

Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis.

ABSTRACT:

Background

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder accompanied with an increased risk of developing type 2 diabetes mellitus and cardiovascular disease; despite being a common condition, the pathogenesis of PCOS remains unclear. Our aim was to investigate the potential metabolic profiles for different phenotypes of PCOS, as well as for the early prognosis of complications.

Methods

A total of 217 women with PCOS and 48 healthy women as normal controls were studied. Plasma samples of subjects were tested using two different analytical platforms of metabolomics: 1H nuclear magnetic resonance (NMR) and gas chromatography/time-of-flight mass spectrometry (GC/TOF-MS).

Results

Our results showed that carbohydrate, lipid and amino acid metabolisms were influenced in PCOS. The levels of lactate, long-chain fatty acids, triglyceride and very low-density lipoprotein were elevated, while glucose, phosphatidylcholine and high-density lipoprotein (HDL) concentrations were reduced in PCOS patients as compared with controls. Additionally, the levels of alanine, valine, serine, threonine, ornithine, phenylalanine, tyrosine and tryptophan were generally increased, whereas the levels of glycine and proline were significantly reduced in PCOS samples compared to controls. Furthermore, the ratio of branched-chain amino acid to aromatic amino acid concentrations (BCAA/AAA) in PCOS plasma was significantly reduced in PCOS patients and was insusceptible to obesity and insulin sensitivity.

Conclusions

Our results suggested that the enhanced glycolysis and inhibited tricarboxylic acid cycle (TAC) in women with PCOS. Decrease of BCAA/AAA ratio was directly correlated with the development of PCOS. Ovulatory dysfunction of PCOS patients was associated with raised production of serine, threonine, phenylalanine, tyrosine and ornithine. Elevated levels of valine and leucine, and decreased concentrations of glycine in PCOS plasma could contribute to insulin sensitivity and could be considered as the potential biomarkers for long-term risk assessment of diabetes mellitus.

SUBMITTER: Zhao Y

PROVIDER: S-EPMC3599233 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature

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Publications

Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis.

Zhao Yue Y Fu Li L Li Rong R Wang Li-Na LN Yang Yan Y Liu Na-Na NN Zhang Chun-Mei CM Wang Ying Y Liu Ping P Tu Bin-Bin BB Zhang Xue X Qiao Jie J

BMC medicine 20121130

<h4>Background</h4>Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder accompanied with an increased risk of developing type 2 diabetes mellitus and cardiovascular disease; despite being a common condition, the pathogenesis of PCOS remains unclear. Our aim was to investigate the potential metabolic profiles for different phenotypes of PCOS, as well as for the early prognosis of complications.<h4>Methods</h4>A total of 217 women with PCOS and 48 healthy women as normal controls ...[more]

PMID: 23198915

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Project description:Females with polycystic ovary syndrome (PCOS), the most common endocrine disorder in women, have an increased risk of developing cardiometabolic disorders such as insulin resistance, obesity, and type 2 diabetes (T2D). While only diagnosable in females, males with a family history of PCOS can also exhibit a poor cardiometabolic profile. Therefore, we aimed to elucidate the role of sex in the cardiometabolic comorbidities observed in PCOS by conducting bidirectional genetic risk score analyses in both sexes. We first conducted a phenome-wide association study (PheWAS) using PCOS polygenic risk scores (PCOSPRS) to identify potential pleiotropic effects of PCOSPRS across 1,380 medical conditions recorded in the Vanderbilt University Medical Center electronic health record (EHR) database, in females and males. After adjusting for age and genetic ancestry, we found that European (EUR)-ancestry males with higher PCOSPRS were significantly more likely to develop hypertensive diseases than females at the same level of genetic risk. We performed the same analysis in an African (AFR)-ancestry population, but observed no significant associations, likely due to poor trans-ancestry performance of the PRS. Based on observed significant associations in the EUR-ancestry population, we then tested whether the PRS for comorbid conditions (e.g., T2D, body mass index (BMI), hypertension, etc.) also increased the odds of a PCOS diagnosis. Only BMIPRS and T2DPRS were significantly associated with a PCOS diagnosis in EUR-ancestry females. We then further adjusted the T2DPRS for measured BMI and BMIresidual (regressed on the BMIPRS and enriched for the environmental contribution to BMI). Results demonstrated that genetically regulated BMI primarily accounted for the relationship between T2DPRS and PCOS. Overall, our findings show that the genetic architecture of PCOS has distinct sex differences in associations with genetically correlated cardiometabolic traits. It is possible that the cardiometabolic comorbidities observed in PCOS are primarily explained by their shared genetic risk factors, which can be further influenced by biological variables including sex and BMI.

Project description:ObjectivePolycystic ovary syndrome (PCOS) is a condition of androgen excess and chronic anovulation frequently associated with insulin resistance. We combined a nontargeted and targeted metabolomics approach to identify pathways and metabolites that distinguished PCOS from metabolic syndrome (MetS).MethodsTwenty obese women with PCOS were compared with 18 obese women without PCOS. Both groups met criteria for MetS but could not have diabetes mellitus or take medications that treat PCOS or affect lipids or insulin sensitivity. Insulin sensitivity was derived from the frequently sampled intravenous glucose tolerance test. A nontargeted metabolomics approach was performed on fasting plasma samples to identify differentially expressed metabolites, which were further evaluated by principal component and pathway enrichment analysis. Quantitative targeted metabolomics was then applied on candidate metabolites. Measured metabolites were tested for associations with PCOS and clinical variables by logistic and linear regression analyses.ResultsThis multiethnic, obese sample was matched by age (PCOS, 37±6; MetS, 40±6years) and body mass index (BMI) (PCOS, 34.6±5.1; MetS, 33.7±5.2kg/m2). Principal component analysis of the nontargeted metabolomics data showed distinct group separation of PCOS from MetS controls. From the subset of 385 differentially expressed metabolites, 22% were identified by accurate mass, resulting in 19 canonical pathways significantly altered in PCOS, including amino acid, lipid, steroid, carbohydrate, and vitamin D metabolism. Targeted metabolomics identified many essential amino acids, including branched-chain amino acids (BCAA) that were elevated in PCOS compared with MetS. PCOS was most associated with BCAA (P=.02), essential amino acids (P=.03), the essential amino acid lysine (P=.02), and the lysine metabolite α-aminoadipic acid (P=.02) in models adjusted for surrogate variables representing technical variation in metabolites. No significant differences between groups were observed in concentrations of free fatty acids or vitamin D metabolites. Evaluation of the relationship of metabolites with clinical characteristics showed 1) negative associations of essential and BCAA with insulin sensitivity and sex hormone-binding globulin and 2) positive associations with homeostasis model of insulin resistance and free testosterone; metabolites were not associated with BMI or percent body fat.ConclusionsPCOS was associated with significant metabolic alterations not attributed exclusively to androgen-related pathways, obesity, or MetS. Concentrations of essential amino acids and BCAA are increased in PCOS, which might result from or contribute to their insulin resistance.

Project description:BackgroundTime-restricted feeding (TRF) is a form of intermittent fasting, which is beneficial for weight loss and cardiometabolic health. Polycystic ovary syndrome (PCOS) is one of the most common reproductive endocrine and metabolic diseases affecting women of childbearing age. It is associated with an increased prevalence of metabolic syndrome, cardiovascular diseases and type 2 diabetes. The effects of TRF on PCOS patients remains undefined, here we investigated the impact of TRF on women with anovulatory PCOS.MethodsEighteen PCOS women aged between 18 and 31 with anovulation participated in a 6-week trial which were divided into two consecutive periods: (1) 1-week baseline weight stabilization period and (2) 5-week TRF period. Fifteen participants completed the study. Changes in body weight, body mass index (BMI), Waist-to-Hip Ratio, skeletal muscle mass, body fat mass (BFM), body fat percentage (BF%), visceral fat area (VFA), luteinizing hormone (LH), follicle-stimulating hormone (FSH), LH/FSH, total testosterone (TT), sex hormone-binding globulin (SHBG), free androgen index (FAI), fasting glucose, fasting insulin (FINS), homeostasis model assessment-insulin resistance (HOMA-IR), area under the curve (AUC) for insulin (AUCIns), area under the curve (AUC) for glucose (AUCGlu), AUCIns/AUCGlu Ratio, lipids, uric acid, alanine aminotransferase (ALT), aspartate aminotransferase, high-sensitivity C-reactive protein (hsCRP), insulin-like growth factor (IGF-1), menstrual cycle and eating behaviors were evaluated.ResultsSignificant changes in body weight, BMI, BFM, BF%, VFA, TT, SHBG, FAI, FINS, HOMA-IR, AUCIns, AUCIns/AUCGlu Ratio, ALT, hsCRP and IGF-1 were found after the TRF period. An improvement in menstrual cycle irregularity was detected in 73.3% (11/15) patients.ConclusionThe diet of TRF may be beneficial to anovulatory PCOS on weight loss especially reducing body fat, improving menstruation, hyperandrogenemia, insulin resistance and chronic inflammation. Trial registration Clinicaltrial.gov, NCT04580433, registered October 8, 2020, https://clinicaltrials.gov/ct2/show/NCT04580433.

Project description:BackgroundWomen with polycystic ovarian syndrome have a high prevalence of metabolic syndrome and type 2 diabetes mellitus. Blacks and Hispanics have a high morbidity and mortality due to cardiovascular disease and diabetes mellitus in the general population. Since metabolic syndrome is a risk factor for development of type 2 diabetes and cardiovascular disease, understanding any racial and ethnic differences in metabolic syndrome among women with polycystic ovarian syndrome is important for prevention strategies. However, data regarding racial/ethnic differences in metabolic phenotype among women with polycystic ovary syndrome are inconsistent.ObjectiveWe sought to determine if there are racial/ethnic differences in insulin resistance, metabolic syndrome, and hyperandrogenemia in women with polycystic ovarian syndrome.Study designWe conducted secondary data analysis of a prospective multicenter, double-blind controlled clinical trial, the Pregnancy in Polycystic Ovary Syndrome II study, conducted in 11 academic health centers. Data on 702 women with polycystic ovarian syndrome aged 18-40 years who met modified Rotterdam criteria for the syndrome and wished to conceive were included in the study. Women were grouped into racial/ethnic categories: non-Hispanic whites, non-Hispanic blacks, and Hispanic. The main outcomes were the prevalence of insulin resistance, metabolic syndrome, and hyperandrogenemia in the different racial/ethnic groups.ResultsBody mass index (35.1 ± 9.8 vs 35.7 ± 7.9 vs 36.4 ± 7.9 kg/m2) and waist circumference (106.5 ± 21.6 vs 104.9 ± 16.4 vs 108.7 ± 7.3 cm) did not differ significantly between non-Hispanic white, non-Hispanic black, and Hispanic women. Hispanic women with polycystic ovarian syndrome had a significantly higher prevalence of hirsutism (93.8% vs 86.8%), abnormal free androgen index (75.8% vs 56.5%), abnormal homeostasis model assessment (52.3% vs 38.4%), and hyperglycemia (14.8% vs 6.5%), as well as lower sex hormone binding globulin compared to non-Hispanic whites. Non-Hispanic black women had a significantly lower prevalence of metabolic syndrome (24.5% vs 42.2%) compared with Hispanic women, and lower serum triglyceride levels compared to both Hispanics and non-Hispanic whites (85.7 ± 37.3 vs 130.2 ± 57.0 vs 120.1 ± 60.5 mg/dL, P < .01), with a markedly lower prevalence of hypertriglyceridemia (5.1% vs 28.3% vs 30.5%, P < .01) compared to the other 2 groups.ConclusionHispanic women with polycystic ovarian syndrome have the most severe phenotype, both in terms of hyperandrogenism and metabolic criteria. Non-Hispanic black women have an overall milder polycystic ovarian syndrome phenotype than Hispanics and in some respects, than non-Hispanic white women.

Dataset Information

Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis.

Background

Methods

Results

Conclusions

Publications

Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis.

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