scholarly journals Serum Testosterone to Androstenedione Ratio Predicts Metabolic Health in Normal-Weight Polycystic Ovary Syndrome Women

Author(s):  
Daniel A Dumesic ◽  
Ayli Tulberg ◽  
Megan McNamara ◽  
Tristan R Grogan ◽  
David H Abbott ◽  
...  

Abstract Context Increased aldo-keto reductase 1C3 (AKR1C3)-mediated conversion of androstenedione (A4) to testosterone (T) promotes lipid storage in subcutaneous (SC) abdominal adipose in overweight/obese polycystic ovary syndrome (PCOS) women. Objective To examine whether an elevated serum T/A4 ratio, as a marker of enhanced AKR1C3 activity in SC abdominal adipose, predicts metabolic function in normal-weight PCOS women. Design Prospective cohort study. Setting Academic center. Patients Nineteen normal-weight PCOS women; 21 age- and body mass index-matched controls. Intervention(s) Circulating hormone/metabolic determinations, intravenous glucose tolerance testing, total body dual-energy x-ray absorptiometry, SC abdominal fat biopsy. Main Outcome Measure(s) Serum T/A4 ratios, hormone/metabolic measures and AKR1C3 expression of adipocytes matured in vitro were compared between female types; serum T/A4 ratios were correlated with serum lipids, adipose insulin resistance (adipose-IR), homeostatic model assessment of insulin resistance (HOMA-IR) and insulin sensitivity (Si). Results Increased serum T/A4 ratios (P=0.040) and log adipose-IR values (P=0.002) in PCOS women versus controls were accompanied by AKR1C3 mRNA overexpression of PCOS adipocytes matured in vitro (P=0.016). Serum T/A4 ratios in PCOS women, but not controls, negatively correlated with log triglycerides (TG: R=-0.65, P=0.002) and the TG index (R=-0.57, P=0.011). Adjusting for serum free T, serum T/A4 ratios in PCOS women remained negatively correlated with log TG (R=-0.57, P=0.013) and TG index (R=-0.50, P=0.036), respectively, without significant relationships with other metabolic measures. Conclusion An elevated serum T/A4 ratio, as a marker of enhanced AKR1C3 activity in SC abdominal adipose, predicts healthy metabolic function in normal-weight PCOS women.

2021 ◽  
Vol 53 (08) ◽  
pp. 504-511
Author(s):  
Xiang-Juan Li ◽  
Hui Wang ◽  
Dan-Yang Lu ◽  
Tian-Tian Yu ◽  
Kamran Ullah ◽  
...  

AbstractInsulin resistance (IR) is one of the most common features of polycystic ovary syndrome (PCOS), which is related to obesity. Whether increased anti-Müllerian hormone (AMH) levels in PCOS are involved in the pathogenesis of insulin resistance remains unclear. We investigated serum levels of leptin and AMH along with basic clinical and metabolic parameters in 114 PCOS patients and 181 non-PCOS women. PCOS patients presented higher fasting blood glucose, insulin concentrations and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) in addition to body mass index (BMI), lipids profiles and hormone levels. HOMA-IR showed a positive correlation with BMI, AMH, leptin, and low-density lipoprotein-cholesterol (LDL-c) levels. Interestingly, AMH is strongly positively correlated with HOMA-IR and insulin concentrations for 1st and 2nd hours of glucose treatment after fasting. Among PCOS women with BMI≥25 kg/m2, high AMH level group showed an increased HOMA-IR when compared to normal AMH level. However, among PCOS women with normal BMI, women with high AMH presented an elevated fasting insulin levels but not HOMA-IR when compared to normal AMH group. In vitro treatment of isolated islet cells with high concentration of leptin (200 ng/ml) or high leptin plus high concentration of AMH (1 ng/ml) significantly enhanced insulin secretion. Importantly, co-treatment of AMH plus leptin upregulates the expression of pro-apoptotic proteins, such as Bax, caspase-3, and caspase-8 after incubating with a high level of glucose. These results suggest that AMH may involve in the pathological process of pancreatic β-cells in obese PCOS women.


2017 ◽  
Vol 125 (08) ◽  
pp. 506-513 ◽  
Author(s):  
Chantal Di Segni ◽  
Andrea Silvestrini ◽  
Romana Fato ◽  
Christian Bergamini ◽  
Francesco Guidi ◽  
...  

Abstract Introduction Insulin resistance (IR) is associated with polycystic ovary syndrome (PCOS). Oxidative stress (OS) is, in turn, related to IR. Studies in PCOS evidenced an increase in OS markers, but they are mainly performed in obese patients, while the complex picture of normal weight PCOS is still poorly investigated. Matherials and Methods To investigate OS in PCOS and relationship with hormonal and metabolic picture, we performed a case-control study in 2 PCOS groups: normal weight (N-PCOS, n=21, age 18–25 ys, mean±SEM BMI 20.7±0.2 kg/m2) and obese (OB-PCOS, n=15, 20–30 ys, BMI 32.8±1.1), compared with control groups matched for BMI: normal (N-C, n=10, 20–30 ys, BMI 21.6±0.9) and obese (OB-C, n=20, 21–31ys, BMI 36.8±1.0). Malondialdehyde (MDA) in blood plasma and peripheral mononuclear cells, obtained by density-gradient centrifugation, was assayed spectrophotometrically by TBARS assay. CoenzymeQ10 (CoQ10) in plasma and cells was assayed by HPLC. Plasma Total Antioxidant Capacity (TAC) was also measured by spectrophotometric method. Results PCOS patients exhibited higher Testosterone levels than controls, but OB-PCOS had highest HOMA (Homeostasis Model Assessment) index, suggesting marked insulin resistance. Despite plasma MDA levels were not significantly different (N-PCOS 3380±346.94 vs. N-C 7 120±541.66; OB-PCOS 5 517.5±853.9 vs. OB. 3 939.66±311.2 pmol/ml), intracellular MDA levels were significantly higher in N-PCOS than controls (mean 3 259±821.5 vs. 458±43.2 pmol/106/cells) and higher than OB-PCOS, although not significantly (1363.1±412.8 pmol/106/cells). Intracellular CoenzymeQ10 was higher in N-PCOS than in N-C, but the highest levels were found in OB-C. Conclusions Our data, while confirming the presence of OS in obese PCOS patients in agreement with literature, suggest that OS could be present also in normal weight PCOS, but it can be revealed in tissue rather than in plasma. The relationship with metabolic status remains to be established, but could be a physiopathological basis for antioxidant treatment in such patients.


2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110317
Author(s):  
Chenyun Miao ◽  
Qingge Guo ◽  
Xiaojie Fang ◽  
Yun Chen ◽  
Ying Zhao ◽  
...  

Objective This meta-analysis evaluated the effect of probiotics and synbiotics on insulin resistance in patients with polycystic ovary syndrome (PCOS). Methods A systematic search was performed to identify all relevant publications listed on the electronic databases (PubMed®, Web of Science, Embase® and China National Knowledge Infrastructure) between inception and 30 October 2020. All statistical analyses were performed on randomized controlled trials (RCTs) using RevMan version 5.3 software provided by the Cochrane Collaboration. Results A total of 486 patients from seven RCTs were included in the meta-analysis. Probiotic and synbiotic supplementation appeared to improve levels of homeostatic model assessment of insulin resistance (mean difference = –0.37; 95% confidence interval –0.69, –0.05) and serum insulin (standardized mean difference = –0.66; 95% confidence interval –1.19, –0.12). The results failed to show any influence of probiotic and synbiotic supplementation on body mass index, waist circumference, hip circumference and fasting blood sugar. Conclusions Probiotics and synbiotics appear to have a partially beneficial effect on indices of insulin resistance in patients with PCOS.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Luis Hoyos ◽  
Karen Leung ◽  
Tristan Grogan ◽  
David Abbott ◽  
Gregorio Chazenbalk ◽  
...  

2021 ◽  
Vol 12 ◽  
pp. 204201882110496
Author(s):  
Gurhan Guney ◽  
Mine Islimye Taskin ◽  
Ozgur Baykan ◽  
Ertan Adali ◽  
Selin Gul Tezcan ◽  
...  

Background: Polycystic ovary syndrome is known to be the most common hormonal disorder in women of reproductive age. Current evidence shows that regulatory proteins secreted from the adipose tissue called adipokines may have a role in polycystic ovary syndrome. We planned to investigate the role of endotrophin that has never been researched in polycystic ovary syndrome before and its correlation with other metabolic parameters and adipokines such as adiponectin and ghrelin in patients with polycystic ovary syndrome. Methods: Forty-three women ( n: 43) with polycystic ovary syndrome and 43 ( n: 43) women as a control group were enrolled in this cross-sectional study. Serum levels of endotrophin, adiponectin, and ghrelin levels were measured with the enzyme-linked immunosorbent assay method. High-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol levels, luteinizing hormone/follicle-stimulating hormone ratio, total testosterone, and triglyceride levels were measured. Homeostasis model assessment for insulin resistance index, body mass index, Ferriman Gallwey Score, and waist-to-hip ratio were also evaluated. Results: Total testosterone, homeostasis model assessment for insulin resistance, C-reactive protein, luteinizing hormone/follicle-stimulating hormone ratio, and triglyceride levels were higher in patients with polycystic ovary syndrome ( p < 0.01). No difference was detected between the groups in terms of body mass index, Ferriman Gallwey Score, waist-to-hip ratio, total cholesterol, low-density lipoprotein, and high-density lipoprotein levels ( p > 0.05). We did not observe any significant difference in adiponectin and ghrelin levels between the groups ( p > 0.05). Patients with polycystic ovary syndrome had significantly higher endotrophin levels ( p < 0.01). According to our regression analyses [area under the curve: 0.973 (0.935–1.000), 95% confidence interval, 95.2% sensitivity, and 100% specificity], it was shown that endotrophin greater than 92 ng/ml and homeostasis model assessment for insulin resistance greater than 2.5 might be good predictors for polycystic ovary syndrome diagnosis. Conclusion: We demonstrated that endotrophin level is higher in patients with polycystic ovary syndrome and may have predicted polycystic ovary syndrome with increased homeostasis model assessment for insulin resistance index. There was no significant difference in adiponectin and ghrelin levels in the polycystic ovary syndrome group. Endotrophin may have a role in polycystic ovary syndrome etiology rather than other adipokines.


Endocrine ◽  
2006 ◽  
Vol 30 (3) ◽  
pp. 283-287 ◽  
Author(s):  
Li Weiping ◽  
Cheng Qingfeng ◽  
Ma Shikun ◽  
Liu Xiurong ◽  
Qin Hua ◽  
...  

Author(s):  
Cristina Benetti-Pinto ◽  
Vanessa Piccolo ◽  
Daniela Yela ◽  
Heraldo Garmes

Objective This study analyzed the effectiveness of the thyroid-stimulating hormone (TSH) as a predictor of insulin resistance (IR) and its association with the clinical and metabolic parameters of women with polycystic ovary syndrome (PCOS) without overt hypothyroidism. Study Design A cross-sectional study was performed. Women with PCOS and without overt hypothyroidism (n = 168) were included. Methods Receiver operating characteristic (ROC) curve was used to determine the cut-off point for TSH that would maximize sensitivity and specificity for a diagnosis of IR using homeostatic model assessment of insulin resistance (HOMA-IR) ≥ 2.71. Clinical and metabolic parameters were compared as a function of the TSH cut-off limit and the presence of IR. Results Thyroid-stimulating hormone ≥ 2.77 mIU/L was associated with a diagnosis of IR, with sensitivity of 47.9% and specificity of 65.3%. There were no differences in clinical, hormonal or metabolic parameters between TSH < 2.77 and TSH of 2.77 – 10 mIU/L. Conclusion In women with PCOS without overt hypothyroidism, TSH ≥ 2.77 mIU/L is associated with IR; however, with poor sensibility, showing TSH to be a poor predictor of IR in this population. No clinical or metabolic alterations were found that would justify a change in clinical management. Thus, the IR should be investigated in all women with PCOS irrespective of TSH level.


2015 ◽  
Vol 61 (3) ◽  
pp. 215-219 ◽  
Author(s):  
Margareth Chiharu Iwata ◽  
Livia Porquere ◽  
Isabel C. Espósito Sorpreso ◽  
Edmund C. Baracat ◽  
José Maria Soares Júnior

Summary Objective: Objective: to compare clinical and laboratory parameters in women with polycystic ovary syndrome (PCOS) using metformin or combined oral contraceptive (COC) after 6 months. Methods: retrospective study analyzing records of patients with PCOS using the Androgen Excess and Polycystic Ovary Syndrome (AE-PCOS) Society criteria. The groups were: I-COC (21 tablets, pause of 7 days; n=16); II-metformin (850mg 12/12h, n=16); III-COC plus metformin (n=9). Body mass index (BMI), acne (% of improvement), modified Ferriman-Gallway index and menstrual cycle index (MCI), luteinizing hormone (LH), follicle-stimulating hormone (FSH), total testosterone (TT), androstenedione (A) and homeostasis model assessment: insulin resistance (HOMA-IR) index were assessed Results: isolated use of COC compared to metformin was better regarding to acne, Ferriman index, MCI, LH, TT and A levels. On the other hand, metformin was better in the HOMA-IR index (4.44 and 1.67 respectively, p=0.0007). The association COC plus metformin, compared to metformin alone shows the maintenance of improvement of acne, Ferriman index, MCI, and testosterone levels. The HOMA-IR index remained lower in the metformin alone group (4.19 and 1.67, respectively; p=0,046). The comparison between COC plus metformin and COC alone, in turn, shows no difference in the improvement of acne, Ferriman index, MCI, LH, TT and A levels, indicating that the inclusion of metformin did not lead to additional benefits in these parameters. Still, the HOMA-IR index was similar in both groups (4.19 and 4.44 respectively; p=0.75), showing that the use of metformin associated with COC may not improve insulin resistance as much as it does if used alone. Conclusion: our data suggest that the combination of metformin and contraceptive does not improve insulin resistance as observed with metformin alone.


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