United States

OBJECTIVE: Metabolomics is a powerful tool to characterize the organism phenotypes and can facilitate the identification of altered metabolites and molecular pathways in pathophysiological states. Metabolites are small intermediates or end products of cellular metabolism which reflect the response to endogenous and exogenous factors. In this regard, sex hormones and obesity are important modulators of whole-body metabolism, and obese individuals and women with polycystic ovary syndrome (PCOS) present with metabolic alterations that may also manifest in the postprandial period. Hence, we investigated the effect of obesity and sex hormones on the serum metabolomics profile after single macronutrient challenges in a series of young adults. 
METHODS: Seventeen non-hyperandrogenic control women, 19 women with PCOS, and 19 healthy men —equally distributed in obese and non-obese subgroups— were submitted to isocaloric oral glucose, lipid and protein loads. Serum samples were obtained at baseline, 1h and 2h after glucose and protein ingestion, or at 2h and 4h in the lipid challenge. Thirty-five low-molecular-weight polar metabolites were determined by 1H-NMR. Postprandial net changes were expressed as areas under the curve (AUC). The influence of macronutrient, group (women, PCOS, men), obesity, and their interactions on each metabolite were evaluated by univariate GLM for repeated measures analysis.
RESULTS: Twelve metabolites (glycine, alanine, proline, threonine, serine, asparagine, glutamine, glutamic acid, ornithine, isobutyric acid, citrate and glycerol) showed different AUCs among macronutrient loads, although neither obesity nor sex hormones exerted any influence. In contrast, the AUCs of 3-hydroxybutyric and pyroglutamic acids were lower in men compared with either control or PCOS women. Remarkably, we observed numerous interactions between group, and/or obesity, and/or macronutrient for several molecules, indicating that the effect of obesity was different (or even the opposite) in control and PCOS women compared with men, and depending on the type of macronutrient. These metabolites included, among others, branched-chain and aromatic amino acids, lysine, methylhystidine, beta-glucose and acetone. Furthermore, patients with PCOS exhibited a specific and unique response —different from that of women and men— for pyruvate, tryptophan, creatine and betaine. Finally, five metabolites (2-oxoisovaleric acid, creatinine, carnitine, acetate and choline) showed no differences among the distinct macronutrient challenges and no effect of obesity, sex or PCOS.
CONCLUSION: Altered postprandial metabolomic profiles in women with PCOS point to worse metabolic flexibility that is exacerbated by obesity.


AE-PCOS 2022

Serum Metabolomics Profile After Oral Macronutrient Challenges: Influence Of Obesity And Polycystic Ovary Syndrome

### Welcome to the AE-PCOS Society's 20th Annual Meeting!


The AE-PCOS Society’s 20th Annual Meeting's theme will be Reflections and Directions. The meeting will aim to incorporate the perspectives of both long-time, contributing members of the Society and newer members of the Society, while highlighting the latest research findings in PCOS-related clinical and basic research.

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Please register for the AE-PCOS 2022 Conference to join the event.

The AE-PCOS Society’s 20th Annual Meeting's theme are Reflections and Directions. The meeting aims to incorporate the perspectives of both long-time, contributing members of the Society and newer members of the Society, while highlighting the latest research findings in PCOS-related clinical and basic research.

poster

OBJECTIVE: The original description of PCOS was based on the cystic morphology of the ovaries. Serum Anti Mullerian Hormone (AMH) concentration reflects follicular reserve of the ovaries and high AMH concentrations correlate with PCO morphology. The presence of three different definitions and four different phenotypes of PCOS indicates heterogeneity of the syndrome. Our goal was to examine if phenotyping based on serum AMH can help to understand the mechanisms underlying the clinical heterogeneity. 
METHODS: 
Subjects: The EPIC EMR was used to retrospectively review the charts of 123 patients who were referred to the PCOS clinic at the UC Davis Medical Center. Patients who did not meet the Rotterdam Criteria for PCOS, who were on were on hormonal contraception, or diagnosed with a different pathology (i.e. congenital adrenal hyperplasia, pituitary tumor, premature ovarian failure) were excluded. The remaining 92 patients were included in the final analysis. Variables: Anthropometric data (age, BMI), sex/adrenal steroids (testosterone, SHBG, bio-available-T, free-T, DHEA-S,17OHP), pituitary hormones (LH, FSH, prolactin) and metabolic (HgA1C, total-cholesterol, HDL-C, LDL-C and triglyceride) were collected.
RESULTS: 
The distribution for AMH was skewed to right and therefore a rank-based quartile classification was used. AMH concentrations (ng/mL) in these quartiles were: 1st: 2.4±1.3 (n = 31); 2nd: 5.2±0.6 (n = 14); 3rd: 7.8±0.9 (n = 24) and 4th: 18.9±10.7 (n = 23). Age did not differ among groups. The following variables differed significantly (p < 0.05) in the highest AMH group (4th) when compared with the other quartiles (1st, 2nd, or 3rd) using non-parametric pairwise tests: BMI: Highest AMH group was thinner (BMI:27.1±5.9) vs. (range:28.9±6.2 to 30.5±6.5); had higher testosterone (ng/dL): (52.6±27.8) vs (29.6±13.4 to 34.9±17.7); had higher free-testosterone (ng/dL): (8.0±6.8) vs. (4.9±±2.7 to 5.4±3.0); had higher 17OHP (ng/dL): (86.7±58.8) vs. (36.8±22.2 to 46.2±39.2); had higher HDL-C (mg/dL): (56.7±13.6) vs. (44.4±5.8 to 46.4±8.7).
CONCLUSIONS:
The phenotyping based on serum AMH concentrations demonstrated that the PCOS women with highest serum AMH differ from the rest: They are thinner, have higher androgen levels. They appear to have more favorable metabolic profiles. AMH-based phenotyping may help to understand the differences between various clinical presentations of PCOS, and potentially guide the treatment approaches. 


Anti-Mullerian Hormone (Amh) Based Phenotyping Of Pcos Women

20 years of AE-PCOS Society: Looking back and looking forward reflections from past presidents of the AE-PCOS

Panel Discussion

Global gene expression and DNA methylation analyses show that metabolic pathways linked to insulin resistance are dysregulated in adipose tissue and skeletal muscle from women with polycystic ovary syndrome (PCOS). However, gene expression does not always translate to alterations in protein levels and changes in biological function. Therefore, we have taken a nontargeted approach, to reveal novel proteins associated with PCOS pathophysiology. Adipose tissue and skeletal muscle biopsies from 10 women with PCOS and 10 controls were subjected to global proteomic and phosphosite analysis. Differently expressed proteins (DEPs) between cases and controls were based on p<0.05 and a fold change >50%. 15 DEPs were found in adipose tissue and the upregulated proteins play a role in immune system processes including, HLA class I histocompatibility antigen and immunoglobulins. We identified 34 DEPs in skeletal muscle. Proteins involved in muscle contraction and actin filament organization pathways were downregulated and expression of myosin heavy chain I, which is specific for type I, or red fibres, was decreased in PCOS. A higher proportion of type I fibers leads to better insulin responsiveness but androgens may diminish highly oxidative and insulin-sensitive type I muscle fibres. Upregulated proteins were enriched in immunometabolic pathways. For example, perilipin- 1 expression, which is localized in intramuscular adipocytes, was increased in PCOS and may reflect lipotoxicity. 

Proteomic analysis of skeletal muscle and adipose tissue from women with PCOS

Management of type 1 and type 2 diabetes with PCOS

Distinct genetic architectures of PCOS subtypes

This presentation reviews the latest evidence concerning the association of COVID-19 in women with PCOS. Topics within it will include whether women with PCOS are known to be at greater risk for COVID-19 and whether they are at a higher likelihood of severe disease.

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Serum Metabolomics Profile After Oral Macronutrient Challenges: Influence Of Obesity And Polycystic Ovary Syndrome

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