scholarly journals Lipid ratios and obesity indices are effective predictors of metabolic syndrome in women with polycystic ovary syndrome

2022 ◽  
Vol 13 ◽  
pp. 204201882110666
Author(s):  
Małgorzata Kałużna ◽  
Magdalena Czlapka-Matyasik ◽  
Pola Kompf ◽  
Jerzy Moczko ◽  
Katarzyna Wachowiak-Ochmańska ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Resistance Index ◽  
Screening Tools ◽  
Visceral Adiposity Index ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Lipid Ratios

Background: Insulin resistance (IR) is common in women with polycystic ovary syndrome (PCOS). Metabolic syndrome (MS) involves IR, arterial hypertension, dyslipidemia, and visceral fat accumulation. Therefore, fatness indices and blood lipid ratios can be considered as screening markers for MS. Our study aimed to evaluate the predictive potential of selected indirect metabolic risk parameters to identify MS in PCOS. Methods: This cross-sectional study involved 596 women aged 18–40 years, including 404 PCOS patients diagnosed according to the Rotterdam criteria and 192 eumenorrheic controls (CON). Anthropometric and blood pressure measurements were taken, and blood samples were collected to assess glucose metabolism, lipid parameters, and selected hormone levels. Body mass index (BMI), waist-to-height ratio (WHtR), homeostasis model assessment for insulin resistance index (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides-to-HDL cholesterol ratio (TG/HDL-C) were calculated. MS was assessed using the International Diabetes Federation (IDF) and the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) criteria. Results: MS prevalence was significantly higher in PCOS versus CON. Patients with both MS and PCOS had more unfavorable anthropometric, hormonal, and metabolic profiles versus those with neither MS nor PCOS and versus CON with MS. LAP, TG/HDL-C, VAI, and WHtR were the best markers and strongest indicators of MS in PCOS, and their cut-off values could be useful for early MS detection. MS risk in PCOS increased with elevated levels of these markers and was the highest when TG/HDL-C was used. Conclusions: LAP, TG/HDL-C, VAI, and WHtR are representative markers for MS assessment in PCOS. Their predictive power makes them excellent screening tools for internists and enables acquiring accurate diagnoses using fewer MS markers.

scholarly journals Endotrophin as a novel marker in PCOS and its relation with other adipokines and metabolic parameters: a pilot study

2021 ◽  
Vol 12 ◽  
pp. 204201882110496
Author(s):  
Gurhan Guney ◽  
Mine Islimye Taskin ◽  
Ozgur Baykan ◽  
Ertan Adali ◽  
Selin Gul Tezcan ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Density Lipoprotein ◽  
Resistance Index ◽  
Total Testosterone ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Ovary Syndrome ◽  
Significant Difference

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.

scholarly journals Evaluation of Lipid Ratios and Triglyceride-Glucose (TyG) Index as Risk Markers of Insulin Resistance in Iranian Polycystic Ovary Syndrome (PCOS) Woman

2020 ◽  
Author(s):  
Asma Kheirollahi ◽  
Maryam Teimouri ◽  
Mehrdad Karimi ◽  
Nariman Moradi ◽  
Asie Sadeghi ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Hdl Cholesterol ◽  
Insulin Level ◽  
P Value ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Pcos Woman ◽  
Lipid Ratios

Abstract Background: Insulin resistance has a key role in the pathophysiology of polycystic ovary syndrome (PCOS). Previous investigations have informed that some lipid ratios could be a simple clinical indicator of insulin resistance (IR) in some disorders and ethnicities. We aimed to examine the correlation between triglyceride to HDL-cholesterol (TG/HDL-C), total cholesterol to HDL-cholesterol (TC/HDL-C) and fasting triglyceride-glucose (TyG) indices with IR (as measured by homeostasis model assessment of IR [HOMA-IR], quantitative insulin sensitivity check index [QUICKI] and fasting glucose to insulin ratio [FGIR]), and determine a good clinical predictor for IR in Iranian PCOS woman. Methods: We evaluated 305 PCOS women. After physical evaluations, biochemical parameters were measured using commercial kits and TG/HDL-C, TC/HDL-C and TyG indices were calculated using formula. Fasting insulin level measured using ELISA technique. IR was defined as a HOMA-IR value ≥2.63, FG-IR<8.25 and QUICKI <0.33. Results: The insulin-resistance and insulin-sensitive groups, which established by HOMA-IR, FG-IR and QUICKI values, were different in terms of TG/HDL-C, TC/HDL-C and TyG indices. These indices were associated with IR after adjusting for age and BMI. The under ROC curves (AUC) of TyG, TG/HDL-C and TC/HDL-C for predicting HOMA-IR index were 0.639, 0.619 and 0.623 respectively which were significant, with a p-value 0.012, 0.033 and 0.027, respectively. The AUC of TC/HDL-C (0.614) was significant (p-value 0.04) for predicting FG-IR.Conclusion: Our findings demonstrated that the elevated TyG, TG/HDL-C and TC/HDL-C were significantly associated with IR and could be utilized as indicators of IR among PCOS women in Iran.

scholarly journals Evaluation of lipid ratios and triglyceride-glucose index as risk markers of insulin resistance in Iranian polycystic ovary syndrome women

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Asma Kheirollahi ◽  
Maryam Teimouri ◽  
Mehrdad Karimi ◽  
Akram Vatannejad ◽  
Nariman Moradi ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Area Under The Curve ◽  
Hdl Cholesterol ◽  
Insulin Level ◽  
Model Assessment ◽  
Iranian Women ◽  
Ovary Syndrome ◽  
Lipid Ratios

Abstract Background Insulin resistance has a vital role in the pathophysiology of polycystic ovary syndrome (PCOS). Previous investigations have shown that some lipid ratios could be a simple clinical indicator of insulin resistance (IR) in some disorders and ethnicities. The present study was conducted to evaluate the correlation between triglyceride to HDL-cholesterol (TG/HDL-C), total cholesterol to HDL-cholesterol (TC/HDL-C), as well as fasting triglyceride-glucose (TyG) indices with IR (as measured by homeostasis model assessment of IR (HOMA-IR), quantitative insulin sensitivity check index (QUICKI) and fasting glucose to insulin ratio (FGIR)) among the Iranian women diagnosed with PCOS. Methods In the current study, a total of 305 women with PCOS were evaluated. TG/HDL-C, TC/HDL-C, and TyG indices were calculated. Fasting insulin level was measured using ELISA technique. IR was defined as a HOMA-IR value of ≥2.63, FG-IR value of < 8.25, and QUICKI value of < 0.33. Results The insulin-resistant (IR) and insulin-sensitive (IS) groups, established by the HOMA-IR, FG-IR, and QUICKI values were different in terms of TG/HDL-C, TC/HDL-C, and TyG indices. These indices were associated with IR even after adjusting for age and BMI. ROC curve analyses showed that TyG, TG/HDL-C, and TC/HDL-C strongly predicted HOMA-IR with area under the curve (AUC) of 0.639, 0.619, and 0.623, respectively (P < 0.05). Further, TC/HDL-C was a good predictor of FG-IR with AUC of 0.614 (P = 0.04). Conclusion TyG, TG/HDL-C, and TC/HDL-C indices might be good indicators of IR among Iranian women diagnosed with PCOS.

scholarly journals Evaluation of different biochemical markers in prediction of metabolic syndrome in polycystic ovary syndrome patients

2017 ◽  
Vol 6 (7) ◽  
pp. 2734
Author(s):  
Ahmed M. Radwan ◽  
Mohamed A. Youssry ◽  
Hossam M. El-saadany ◽  
Tabark Ahmed Patel
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Polycystic Ovary Syndrome ◽  
Biochemical Markers ◽  
Polycystic Ovary ◽  
Model Assessment ◽  
Biochemical Tests ◽  
Ovary Syndrome ◽  
Tissue Factors ◽  
Homeostatic Model Assessment

Background: Polycystic ovary syndrome (PCOS) is the commonest cause of chronic hyperandrogenic anovulation. Insulin resistance and compensatory hyperinsulinemia are keys of the pathogenesis of PCOS. It is also considered as a metabolic disorder. Since the components of metabolic syndrome (MBS) namely obesity, glucose intolerance, dyslipidemia, and hypertension are the common features of this syndrome. The association between MBS and PCOS can be explained by different theories as insulin resistance, obesity, and related adipose tissue factors (adipocytokines) independent of insulin resistance are the main pathogenic contributors to both disorders.Methods: A total of 143 women with PCOS were recruited as study subjects. All participants were subjected to anthropometric measurements, clinical assessment, and biochemical tests [fasting glucose, fasting insulin, and homeostatic model assessment-insulin resistance (HOMA-IR)]. Hormonal profile particularly leptin and homocysteine levels were also evaluated.Results: 25 patients (17.4%) out of 143 women with PCOS met the criteria for MBS. Patients with MBS had significantly higher body mass index, blood pressure, HOMA-IR, leptin, and homocysteine levels compared to PCOS only patients. When HOMA-IR cut off was ≥4.3 sensitivity and specificity were 90%, 88.6%, but when leptin level was ≥34.5 the corresponding statistics were 79.6%, 75.5%.Conclusions: Serum leptin, homocysteine, HOMA-IR as well as other biochemical markers are significantly higher in women with PCOS and MBS compared to PCOS only women. PCOS is associated with various factors like insulin resistance, obesity, and dyslipidemia. Consequently, adipocytokines and HOMA-IR play important role in the prediction of MBS in patients with PCOS.

scholarly journals STUDY OF GLYCATED HEMOGLOBIN LEVELS IN POLYCYSTIC OVARY SYNDROME

2018 ◽  
Vol 11 (5) ◽  
pp. 191 ◽  
Author(s):  
Renuka Pangaluri ◽  
Shakthiya T ◽  
Vinodhini Vm
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Glycated Hemoglobin ◽  
Polycystic Ovary ◽  
Resistance Index ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Hba1c Levels

 Objective: Polycystic ovarian syndrome (PCOS) is often accompanied by insulin resistance, obesity, and cardiometabolic risk factors. Androgen excess-PCOS recommends oral glucose tolerance test or glycated hemoglobin (HbA1C) to evaluate dysglycemia in PCOS subjects. We undertook this study to evaluate the prevalence of elevated HbA1C levels in PCOS women.Methods: The study was carried out among 100 PCOS patients from SRM Hospital, 100 healthy individuals were included as controls. Fasting glucose, HbA1C, Insulin and Homeostasis Model Assessment-Insulin Resistance Index were estimated.Results: Patients with polycystic ovary syndrome showed a significant increase in HbA1C levels (5.799±1.022; 4.96±0.625, p=0.001) when compared to the control group.Conclusion: We found elevated HbA1C levels in PCOS women categorizing 26% as prediabetes and 28% as having type 2 diabetes mellitus.

scholarly journals Associations of Serum Magnesium With Insulin Resistance and Testosterone in Women With Polycystic Ovary Syndrome

2021 ◽  
Vol 12 ◽  
Author(s):  
Xi Luo ◽  
Wang-Yu Cai ◽  
Hong-Li Ma ◽  
Jing Cong ◽  
Hui Chang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Logistic Regression ◽  
Glucose Metabolism ◽  
Linear Regression ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Serum Magnesium ◽  
Resistance Index ◽  
Model Assessment ◽  
Ovary Syndrome

ObjectiveThis article aimed to investigate whether serum magnesium is associated with insulin resistance index and testosterone level in women with polycystic ovary syndrome (PCOS).Materials and MethodsOverall 1000 women with PCOS were enrolled in a randomized controlled trial and a cross-sectional analysis of the association of serum magnesium with glucose metabolism markers and testosterone was performed. Serum magnesium, glucose metabolism markers and testosterone were measured. Insulin resistance was evaluated by homeostatic model assessment of insulin resistance (HOMA-IR) and quantitative insulin-sensitivity check index (QUICKI). Multivariable linear regression and logistic regression models were used to estimate the association between serum magnesium, insulin resistance and testosterone.ResultsIn comparative analyses, women with higher quartile of serum magnesium had significantly lower fasting glucose, HOMA-IR and testosterone. Multiple linear regression showed serum magnesium was independently negatively associated with insulin, glucose, HOMA-IR, testosterone and positively associated with QUICKI (P for trend &lt;0.05) after adjusting confounding covariates. Logistic regression showed serum magnesium in quartile 1 and 2 were independently associated with insulin resistance status (Quartile 1: OR: 2.15, 95%CI: 1.35-3.40, P = 0.001; Quartile 2: OR: 1.90, 95%CI: 1.20-3.02, P = 0.006), while quartile 1 was marginally associated with hyperandrogenemia status (Quartile 1: OR: 1.45, 95%CI: 0.99-2.11, P = 0.055) after adjusting confounding covariates.ConclusionThe current findings suggest that lower serum magnesium was associated with aggravated insulin resistance and higher testosterone levels among women with PCOS.

scholarly journals Effects of probiotic and synbiotic supplementation on insulin resistance in women with polycystic ovary syndrome: a meta-analysis

2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110317
Author(s):  
Chenyun Miao ◽  
Qingge Guo ◽  
Xiaojie Fang ◽  
Yun Chen ◽  
Ying Zhao ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Confidence Interval ◽  
Polycystic Ovary ◽  
Serum Insulin ◽  
Meta Analysis ◽  
Mean Difference ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Synbiotic Supplementation

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.

scholarly journals Comparison of various adiposity indexes in women with polycystic ovary syndrome and normo-ovulatory non-hirsute women: a population-based study

2014 ◽  
Vol 171 (2) ◽  
pp. 199-207 ◽  
Author(s):  
Fahimeh Ramezani Tehrani ◽  
Sonia Minooee ◽  
Fereidoun Azizi
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Normal Control ◽  
Polycystic Ovary ◽  
Population Based ◽  
Visceral Adiposity Index ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Assessment Index ◽  
Control Subjects ◽  
Index Sensitivity

ObjectiveInsulin resistance (IR) and metabolic disorders are common in polycystic ovary syndrome (PCOS). However, it is still not clear which adiposity marker could precisely predict metabolic syndrome (MetS) in women with PCOS and whether these indexes are different in normo-ovulatory non-hirsute women.DesignA case–control study was conducted on a total of 175 Iranian subjects with PCOS and 525 normal control subjects, aged 18–45 years.MethodsWaist circumference (WC), BMI, waist-to-hip ratio, lipid accumulation product (LAP) index, and visceral adiposity index (VAI) were examined and the homeostasis model assessment index was calculated. MetS was defined according to the joint interim statement. The receiver operating characteristic curves were used to evaluate the extent to which measures of adiposity can predict IR and MetS risk.ResultsLAP index and VAI are two indicators (sensitivity and PPV of 70% (LAP index) and 60% (VAI), and 80% (LAP index) and 83% (VAI) respectively) that best predict IR in women with PCOS. Among healthy women, the LAP index and WC were better markers (sensitivity and PPV of 78% (LAP index) and 75% (VAI), and 82% (LAP index) and 81% (VAI) respectively). The two most reliable indicators for prediction of MetS among PCOS and normal women were the WC and VAI (sensitivity and PPV of 83% (WC) and 81% (VAI), and 97% (WC) and 95% (VAI) respectively) and the VAI and LAP index (sensitivity and PPV of 88% (VAI) and 83% (LAP index), and 98% (VAI) and 98% (LAP index) respectively) respectively.ConclusionsWhile the appropriate adiposity indicators and their optimum cutoff values vary in women with PCOS, compared with the normal control subjects, the LAP index is an easily obtainable index that might be useful for screening of cardiometabolic complications among both groups.

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

2021 ◽  
Author(s):  
Daniel A Dumesic ◽  
Ayli Tulberg ◽  
Megan McNamara ◽  
Tristan R Grogan ◽  
David H Abbott ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Elevated Serum ◽  
Normal Weight ◽  
Model Assessment ◽  
Metabolic Function ◽  
Ovary Syndrome ◽  
Intravenous Glucose

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.

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