Oral glucose tolerance test significantly impacts the prevalence of abnormal glucose tolerance among Indian women with polycystic ovary syndrome: lessons from a large database of two tertiary care centers on the Indian subcontinent

Association of TCF7L2 Gene Variant (rs12255372) with Polycystic Ovary Syndrome and its Effect Modification of the Disease Phenotype

Polycystic ovary syndrome (PCOS) and type-2 diabetes mellitus (T2DM) share common genetic features. Transcription factor 7-like-2 (TCF7L2) is consistently studied T2DM susceptibility locus. However, limited studies on TCF7L2 have failed to demonstrate any link with the PCOS risk. Therefore, we investigated the association of TCF7L2 polymorphic variant (rs12255372) with the PCOS risk. We recruited 120 PCOS cases, diagnosed as per Rotterdam 2003 criteria, and an equal number of age-matched controls. Besides a detailed clinical assessment, subjects underwent biochemical and hormonal profiling. Genotyping for rs12255372 was done by PCR-RFLP. Conditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (95%CIs) of genotype-phenotype correlations. The PCOS cases reported fewer menstrual cycles per year and exhibited signs of hyperandrogenism. The heterozygous genotype of rs12255372 was strongly associated with the PCOS risk (OR = 2.00; 95%CI: 1.07-3.76). Unlike controls, only 3 cases harbored TT genotype, and the PCOS risk persisted in the dominant model (GT + TT) as well. Moreover, we found a synergistic effect modification by the variant genotype in the subjects who had family histories of T2DM, hirsutism, or menstrual irregularities. We report a significant association of the TCF7L2 polymorphic variant rs12255372 with the PCOS risk.

Diagnostic accuracy of oral glucose tolerance tests, fasting plasma glucose and haemoglobin A1c for type 2 diabetes in women with polycystic ovary syndrome: A systematic review and meta-analysis

AIMS

To inform international guidelines, a systematic review and meta-analysis was conducted to assess the performance of diagnostic methods for type 2 diabetes in women with polycystic ovary syndrome (PCOS).

METHODS

An updated systematic search was conducted on five databases from 2017 until October 2023 and combined with prior searches (from inception). Meta-analyses of diagnostic accuracy tests were conducted.

RESULTS

Nine studies comprising 2628 women with PCOS were included. Against the oral glucose tolerance test, a haemoglobin A1C (HbA1c) ≥ 6.5% had a pooled sensitivity of 50.00% (95% confidence interval (CI): 35.53-64.47), specificity of 99.86% (95%CI: 99.49-99.98), and positive and negative predictive values of 92.59% (95%CI: 75.27-98.09) and 98.27% (95%CI: 97.73-98.68), respectively, with an accuracy of 98.17% (95%CI: 97.34-98.79). Fasting plasma glucose values ≥ 7.0 mmol/L had a pooled sensitivity of 58.14% (95%CI: 42.13-72.99), specificity of 92.59% (95%CI: 75.35-98.08), positive and negative predictive values of 92.59% (95%CI: 75.35-98.08) and 99.09% (95%CI: 98.71-99.36), respectively, and an accuracy of 99.00% (95%CI: 98.46-99.39) against the oral glucose tolerance test.

CONCLUSIONS

To our knowledge, this is the first systematic review assessing the performance of diagnostic methods for type 2 diabetes in women with PCOS. We demonstrate that using a cut-off for HbA1c of ≥6.5% in this population may result in misdiagnosis of half of the women with type 2 diabetes. Our results directly informed the recommendations of the 2023 International PCOS Guideline, suggesting that the oral glucose tolerance test is the optimal method for screening and diagnosing type 2 diabetes in women with PCOS and is superior to fasting plasma glucose and HbA1c.

Pre-polycystic ovary syndrome and polymenorrhoea as new facets of polycystic ovary syndrome (PCOS): Evidences from a single centre data set

OBJECTIVE

Polycystic ovary syndrome (PCOS) is a complex disorder with diverse metabolic implications. Diagnosis typically relies on oligo-amenorrhoea (OA), hyperandrogenism (HA), and polycystic ovarian morphology (PCOM). However, the role of polymenorrhoea in PCOS remains understudied. Additionally, limited information exists regarding metabolic disturbances in women with partial PCOS phenotypes that do not meet diagnostic criteria. This extensive database aims to provide substantial evidence on the metabolic implications of polymenorrhoea and partial PCOS phenotypes.

DESIGN

Prospective observational study.

PATIENTS AND MEASUREMENTS

In this single-centre study, 6463 women with PCOS-like characteristics and 3142 age-matched healthy women were included. The study compared clinical (anthropometry, modified Ferriman Gallwey [mFG] score), hormonal (serum testosterone), and metabolic (plasma glucose, serum lipids, insulin) characteristics between women diagnosed with PCOS, those with partial PCOS phenotypes, and the healthy control group RESULTS: In all, 5174 women met Rotterdam criteria for PCOS diagnosis, while 737 were classified as Pre-PCOS, including HA (n = 538), OA (n = 121), or PCOM (n = 78). Common clinical features included oligomenorrhoea (75.5%), hirsutism (82.9%), obesity (27.2%), hypertension (1.6%), metabolic syndrome (19.6%), and diabetes mellitus (5.6%). Women diagnosed with PCOS, HA only, and OA only exhibited higher average body mass index, plasma glucose levels (both fasting and 2 h after the oral glucose tolerance test), and lipid fractions in comparison to those with PCOM and the healthy controls. However, indices of insulin resistance were similar among women with PCOS, HA, PCOM, and OA, albeit higher than in the healthy controls. The polymenorrhoea subgroup (5.9%) had lower BMI and serum testosterone, but similar mFG score, plasma glucose, insulin, and lipid levels as the oligomenorrhoea subgroup.

CONCLUSION

The metabolic disturbances observed in Pre-PCOS women highlight the need to reassess diagnostic criteria. Including the polymenorrhoea subcategory in PCOS criteria is recommended due to similar metabolic dysfunctions as the oligomenorrhoea group.

Assessment of Type 2 Diabetes Risk in Young Women with Polycystic Ovary Syndrome

Women with polycystic ovary syndrome (PCOS) are at increased risk for dysglycemia and type 2 diabetes compared to healthy BMI-matched women of reproductive age: robust evidence exists supporting this notion. The presence of altered glycemic status in young women with the syndrome presents a distinct challenge for the clinician for several reasons. Firstly, the reported incidence of this disorder varies among the limited available studies. Furthermore, there is a lack of consensus on the best screening method, which women to screen, at what frequency, and which strategies need to be implemented to reduce the above risk. We provide data regarding the prevalence of dysglycemia in young women suffering from PCOS and the pathophysiological mechanisms underlying the disorder. In addition, we present evidence suggesting universal screening with the oral glucose tolerance test in young women with the syndrome, irrespective of age or BMI status, to identify and manage glycemic abnormalities in a timely manner. Regarding follow-up, oral glucose testing should be carried out at regular intervals if there are initial abnormal findings or predisposing factors. Finally, the efficacy of a well-balanced diet in conjunction with regular exercise and the use of non-pharmacologic agents in this specific population is discussed.

Frequency of impaired glucose tolerance and its correlates in females of reproductive age in urban slums of Lahore, 2019

BACKGROUND

The prevalence of diabetes mellitus has almost reached global epidemic proportions. Fortunately, the progress of the disease can be stemmed at the prediabetic level. The objective of the present study was to determine the frequency of impaired glucose tolerance (IGT) and its predictors in females of reproductive age in the urban slums of Lahore.

MATERIALS AND METHODS

A cross-sectional study was conducted among females of reproductive age in the slums of metropolitan Lahore. The calculated sample size was 384. Data were collected using a structured questionnaire covering demographic variables, lifestyle, medical, and dietary history. The oral GT test was carried out on the study participants after a 10 hour overnight fasting. Data were entered and analyzed using Statistical Package for the Social Sciences (SPSS version 23). Frequency distributions and percentages were calculated for categorical variables, and the mean and standard deviation were calculated for continuous variables. The Chi-square test or Fisher's exact test, as appropriate, was used to determine the association between IGT and various categorical variables. Logistic regression analysis was performed to determine the correlates of IGT after adjusting for confounders.

RESULTS

The final sample size was 394 women; 17% of whom had IGT, and 8.6% had newly diagnosed diabetics. Results of logistic regression showed increased waist/hip ratio, lower literacy of father or husband, age, and low intake of pulses as significant predictors of IGT (P < 0.05).

CONCLUSION

The frequency of IGT is high in females of reproductive age living in the urban slums of Lahore. There is a need for targeted health promotion and educational activities to improve the health and social conditions of slum dwellers.

Construction of a ceRNA network in polycystic ovary syndrome (PCOS) driven by exosomal lncRNA

Polycystic ovary syndrome (PCOS), a common and frustrating syndrome in women of reproductive age, is characterized by symptoms including hyperandrogenemia, ovulation dysfunction, and polycystic ovaries. The role of competitive endogenous RNA (ceRNA) networks is receiving increasing attention and has been reported in multiple complicated diseases, such as various carcinomas, endometriosis, and tubal factor infertility. However, the association of ceRNA networks with the pathogenesis of PCOS remains unclear. This study aimed to construct a ceRNA network orchestrated by exosomal lnRNA and circRNA in PCOS. We screened RNA data of 34 samples from the Gene Expression Omnibus (GEO) database for differentially expressed lncRNAs (DELs), miRNAs (DEMs), mRNAs (DEGs), and circRNA associated with the progression of PCOS (PCOS, n = 17 vs. normal, n = 17). A protein–protein interaction (PPI) network, gene set enrichment analysis (GSEA), and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted. Importantly, the function of the ceRNA network was explored using GO and KEGG enrichment analyses. We identified 46 DELs (25 upregulated and 21 downregulated), 31 DEMs (20 upregulated and 11 downregulated), 165 DEGs (52 upregulated and 113 downregulated), and 1 differentially expressed circRNA. The PPI network had 79 nodes and 112 edges. The GSEA results showed that these genes were mainly related to oxidative phosphorylation; TNF signaling pathways; and valine, leucine, and isoleucine degradation. GO and KEGG analyses revealed that the DEGs were significantly enriched in lipid metabolism, peroxisome proliferator-activated receptor (PPAR) signaling pathways, and fatty acid metabolism. Additionally, we constructed a novel PCOS-associated lncRNA–miRNA–mRNA ceRNA triple network and a circRNA-related network. Thereafter, we described the potential roles played by follicular fluid exosomes in PCOS. Our present study describes the molecular pathogenesis of PCOS in human ovarian granulosa cells at the post-transcriptional level, which provides new insights for the clinical diagnosis and treatment of PCOS and further scientific research.

Can dysglycemia in OGTT be predicted by baseline parameters in patients with PCOS?

Background

Polycystic ovary syndrome (PCOS) is considered a risk factor for the development of type 2 diabetes mellitus (T2DM). However, which is the most appropriate way to evaluate dysglycemia in women with PCOS and who are at increased risk are as yet unclear.

Aim of the study

To determine the prevalence of T2DM, impaired glucose tolerance (IGT), and impaired fasting glucose (IFG) in PCOS women and potential factors to identify those at risk.

Subjects and methods

The oral glucose tolerance test (OGTT), biochemical/hormonal profile, and ovarian ultrasound data from 1614 Caucasian women with PCOS and 362 controls were analyzed in this cross-sectional multicenter study. The data were categorized according to age and BMI.

Results

Dysglycemia (T2DM, IGT, and IFG according to World Health Organization criteria) was more frequent in the PCOS group compared to controls: 2.2% vs 0.8%, P = 0.04; 9.5% vs 7.4%, P = 0.038; 14.2% vs 9.1%, P = 0.002, respectively. OGTT was essential for T2DM diagnosis, since in 88% of them basal glucose values were inconclusive for diagnosis. The presence of either T2DM or IFG was irrespective of age (P = 0.54) and BMI (P = 0.32), although the latter was associated with IGT (P = 0.021). There was no impact of age and BMI status on the prevalence of T2DM or IFG. Regression analysis revealed a role for age, BMI, fat deposition, androgens, and insulin resistance for dysglycemia. However, none of the factors prevailed as a useful marker employed in clinical practice.

Conclusions

One-third of our cohort of PCOS women with either T2DM or IGT displayed normal fasting glucose values but without confirming any specific predictor for dysglycemic condition. Hence, the evaluation of glycemic status using OGTT in all women with PCOS is strongly supported.

Polycystic ovary syndrome and type 2 diabetes mellitus: A state-of-the-art review

Polycystic ovary syndrome (PCOS) often coexists with a wide spectrum of dysglycemic conditions, ranging from impaired glucose tolerance to type 2 diabetes mellitus (T2D), which occur to a greater extent compared to healthy body mass index-matched women. This concurrence of disorders is mainly attributed to common pathogenetic pathways linking the two entities, such as insulin resistance. However, due to methodological flaws in the available studies and the multifaceted nature of the syndrome, there has been substantial controversy as to the exact association between T2D and PCOS which has not yet been elucidated. The aim of this review is to present the best available evidence regarding the epidemiology of dysglycemia in PCOS, the unique pathophysiological mechanisms underlying the progression of dysglycemia, the most appropriate methods for assessing glycemic status and the risk factors for T2D development in this population, as well as T2D risk after transition to menopause. Proposals for application of a holistic approach to enable optimal management of T2D risk in PCOS are also provided. Specifically, adoption of a healthy lifestyle with adherence to improved dietary patterns, such the Mediterranean diet, avoidance of consumption of endocrine-disrupting foods and beverages, regular exercise, and the effect of certain medications, such as metformin and glucagon-like peptide 1 receptor agonists, are discussed. Furthermore, the maintenance of a healthy weight is highlighted as a key factor in achievement of a significant reduction of T2D risk in women with PCOS.

Differential Effects of Various Androgens on Polycystic Ovary Syndrome

The hyperandrogenism in polycystic ovary syndrome (PCOS) is associated with the risk for the future development of the cardiovascular disease. The objective of the study is to verify whether different androgens have the same harmful effect. This cross-sectional study enrolled 823 women with PCOS: 627 (76.2%) with biochemical hyperandrogenism and 196 (23.8%) with normal androgen levels. The role of individual androgen was evaluated using univariate and multivariate logistic regression. In normoandrogenemic PCOS (NA-PCOS), free androgen index (FAI) predicted significant abnormality in visceral adipose index (VAI, OR=9.2, p=0.002) and dehydroepiandrosterone (DHEA) predicted against alteration in β-cell function (OR=0.5, p=0.007). In hyperandrogenemic PCOS (HA-PCOS), FAI predicted derangements in waist triglyceride index (WTI), VAI, and lipid accumulation product (LAP) (OR ranging from 1.6 to 5.8, p<0.05). DHEA weakly predicted against VAI (OR 0.7, p=0.018), dehydroepiandrosterone sulfate (DHEAS) tended to predict against the conicity index (OR=0.7, p=0.037). After multiple regression, FAI retained significant strength to predict various anthropometric and metabolic abnormalities (OR ranging from 1.1 to 3.0, p<0.01), DHEA was kept as a protector factor against WTI, LAP, and VAI (OR ranging from 0.6 to 0.9; p<0.01) and DHEAS against the conicity index (OR=0.5, p<0.001). In conclusion, the free androgen index was the most powerful predictor of anthropometric and metabolic abnormalities of polycystic ovary syndrome. Conversely, DHEA and DHEAS demonstrated protective effects against disorders in some markers of obesity and abnormal metabolism.

Prevalence of diabetes and prediabetes in tribal population of Kashmir: Lessons for the future

AIMS

Considering a surge in the incidence of Diabetes mellitus (DM) across all ethnic groups and lack of any representative data from the tribal communities of Jammu and Kashmir, the present study aimed to assess the prevalence of DM and prediabetes in them.

METHODS

Subjects were recruited from five districts of Kashmir valley using multistage cluster sampling by probability proportional to size (PPS) technique. Data collection included recording of socio-demographic, medical facts, assessment of anthropometric parameters and biochemical evaluation HbA1c and random blood glucose measurements as per the American Diabetes Association (ADA) criteria were used for diagnosis of DM.

RESULTS

A total of 6808 subjects were recruited in this study including 2872 (42%) men and 3936 (58%) women with mean age of 39.60 ± 20.19 years and 35.17 ± 16.70 years, respectively. Around 8.60% subjects were obese, 38.9% were found to be hypertensive, 73% had dyslipidemia and 3.75% had metabolic syndrome. About 1.26% (0.5% males and 0.9% females) had DM and 11.64% had prediabetes based on HbA1c cut offs. Increasing age, body mass index and family history portend significant risk factors while smoking and sedentary lifestyle increased the risk marginally.

CONCLUSIONS

Although the prevalence of DM among tribals of Kashmir valley is lower than general population, the higher prediabetes to DM ratio may indicate a future trend of increasing DM prevalence in this disadvantageous subpopulation.

Left ventricular myocardial mass index and its correlates as an early marker of cardiovascular risk among nonobese normotensive Indian women with polycystic ovary syndrome: lessons from a cross-sectional study

OBJECTIVE

To quantitate left ventricular mass index (LVMI) and correlate it with inflammation, insulin resistance (IR) and serum androgen levels among nonobese normotensive women with polycystic ovary syndrome (PCOS).

DESIGN

Cross-sectional study SETTING: Tertiary care institute in North India PATIENTS: A total of 260 drug-naive women qualifying the Rotterdam 2003 criteria for diagnosis of PCOS and 250 apparently healthy women matched for age and body mass index (BMI).

INTERVENTIONS

Clinical, biochemical, hormonal, and inflammatory marker assessment was followed by estimation of LVM and LVMI by 2-dimensional echocardiography.

MAIN OUTCOME MEASURES

LVM and LVMI in nonobese, normotensive women with PCOS and its correlation with subinflammation, IR, and androgen excess.

RESULTS

Mean ages (28.08 ± 4.18 vs. 29.44 ± 6.33 years) and BMI (24.43 ± 4.15 vs. 23.92 ± 4.21 kg/m²) of cases vs. controls were comparable, as was blood pressure and plasma glucose (1 hour after oral glucose tolerance test [OGTT]). Women with PCOS had fewer menstrual cycles per year and higher Ferriman-Gallwey scores, plasma insulin, homeostasis model assessment of IR, total testosterone, plasma glucose (fasting and 2 hours after OGTT), serum high-sensitive C-reactive protein, tumor necrosis factor-α, and interleukin-6 than did the controls (P<.001). Significant differences were observed in LVM (101.50 ± 30.19 vs. 89.35 ± 27.57 g) and LVMI (63.60 ± 16.67 vs. 56.32 ± 10.84 g/m²) between women with PCOS and the controls (P<.001). Multivariate analysis revealed that proinflammatory markers and IR rather than hyperandrogenism correlated with LVMI.

CONCLUSION

We conclude that normotensive nonobese women with PCOS were more likely to have elevated mean LVMI than were healthy controls and it was positively correlated with proinflammatory markers and IR but not with androgen excess. Well-designed long-term follow-up studies with a larger cohort of subjects with comprehensive cardiovascular risk assessment are warranted to conclusively answer the question.

Fibroscan as a non-invasive predictor of hepatic steatosis in women with polycystic ovary syndrome

Background & objectives:

There is limited data on non-alcoholic fatty liver disease (NAFLD) among Indian women with polycystic ovary syndrome (PCOS), and there are no data on the utility of fibroscan in its assessment. The objective of this study was thus to investigate the frequency of hepatic steatosis in young women with PCOS and evaluate the utility of transient elastography (TE) in its assessment.

Methods:

Seventy women diagnosed with PCOS and 60 apparently healthy women (controls) were enrolled in this pilot study. These women were evaluated for clinical, biochemical and hormonal parameters, transabdominal ultrasonography, dual-energy X-ray absorptiometry and fibroscan assessing liver stiffness measure (LSM) and controlled attenuation parameter (CAP). Other indices such as liver fat score (LFS), lipid accumulation product (LAP), fibrosis-4 (FIB-4) and aspartate aminotransferase to platelet ratio index, hepatic steatosis index (HIS) scores were also calculated. The main outcome measures were the presence of NAFLD in women with PCOS and its correlation with CAP and LSM on TE.

Results:

Women with PCOS had higher frequency (38.57 vs. 6.67%) of hepatic steatosis than control women as determined by abdominal sonography. The aminotransferases were higher in PCOS group (14.28 vs. 1.7%, P=0.03) even after adjusting for body mass index implying higher non-alcoholic steatohepatitis among young PCOS patients. PCOS women had significantly higher CAP on TE compared to controls (210 vs. 196). CAP had a significant correlation with LFS, LAP and HIS.

Interpretation & conclusions:

NAFLD is common in young women with PCOS, and fibroscan using TE may be considered as a promising non-invasive diagnostic modality in its early detection.

Epidemiology, pathogenesis, genetics & management of polycystic ovary syndrome in India

Polycystic ovary syndrome (PCOS) is a common endocrine disorder predominantly affecting women of reproductive age. Clinical manifestations are diverse including hyperandrogenism, anovulation, infertility and increased risk of metabolic diseases besides psychosocial dysfunction. This review provides information on the problem of PCOS in India, its pathophysiology, genetics and an overview of current management options to instigate further research in this field. Prevalence of PCOS in India ranges from 3.7 to 22.5 per cent depending on the population studied and the criteria used for diagnosis. Abnormalities in leptin-adiponectin (adipocyte biology), oxidative stress and autoimmunity are among the mechanisms studied regarding pathogenesis of PCOS. Many candidate gene studies have shown associations with PCOS in various studies. Studies have consistently demonstrated the relationship between the well-known manifestation of hyperandrogenism among Indian PCOS women and the metabolic morbidities including insulin resistance, glucose intolerance and cardiovascular risk. Management of individual components of PCOS can be achieved by medications or surgical methods, though further clarification regarding pathogenesis of PCOS is needed to sharpen our therapeutic armamentarium.

Coadministration of metformin or spironolactone enhances efficacy of rosiglitazone in management of PCOS

The aim of this study was to compare the efficacy and safety of adding metformin or spironolactone to rosiglitazone in women with polycystic ovary syndrome (PCOS). This is a prospective non-randomized study in a tertiary care with at in a tertiary care endocrine clinic. Women (n = 138) diagnosed with PCOS on the basis of Rotterdam criteria 2003 were categorized into three groups on the basis of drug intake as - rosiglitazone (R), rosiglitazone with spironolactone (R + S), and rosiglitazone with metformin (R + M). Clinical, biochemical, hormonal, and insulin sensitivity parameters were assessed at baseline and after six months of follow up. There was a significant improvement in number of menstrual cycles per year and Ferriman Gallwey (FG) score in all three groups after 6 months. Plasma insulin (0, 2 h), HOMA-IR and serum total testosterone levels decreased after six months in all the three groups. The inter group comparison showed higher efficacy of R + S in improving hyperandrogenism whereas R + M was most effective in decreasing body weight and plasma insulin levels compared to R and R + S (p<.05). Treatment of women with PCOS using rosiglitazone alone and in combination with spironolactone or metformin is safe and efficacious with limited adverse events however randomized trials with longer duration of follow up are warranted.

Comparative Evaluation of Biomarkers of Inflammation Among Indian Women With Polycystic Ovary Syndrome (PCOS) Consuming Vegetarian vs. Non-vegetarian Diet

Background: Sub-inflammation and insulin resistance characterize women with PCOS. Data on dietary modulation of inflammation among PCOS women is scant, particularly from Indian subcontinent. The present study aimed to assess the effect of plant based vs. animal origin diets on serum markers of inflammation (primary outcome measure). Methods: This observational case-control study compared age and BMI matched PCOS and apparently healthy women from two populations following different dietary practices. The vegetarian women from New-Delhi (n = 82 PCOS and n = 179 healthy) and non-vegetarian women from Srinagar (n = 62 PCOS and n = 141 healthy) formed the groups. Using a uniform methodology, detailed clinical, biochemical, hormonal, and inflammatory marker assessment was undertaken. Results: The mean age of the overall cohort was 26.23 ± 4.59 years with a mean BMI of 24.39 ± 3.72 kg/m2. Overall pro-inflammatory markers (TNF-α, IL-6, IL-1β, hs-CRP and serum resistin) were significantly higher (p ≤ 0.05) and anti-inflammatory markers (IL-10 and adiponectin) were lower among women with PCOS than healthy subjects. On comparing vegetarian women with non-vegetarians, higher daily calorie intake (1895.46 ± 258.19 vs. 1860.13 ± 323.96 Kcal) with a higher protein and fat and lower carbohydrate intake was recorded in the latter, although the percent energy derived from carbohydrates was higher among vegetarians. Clinical and biochemical parameters were comparable among the groups except mFG score, total serum testosterone and serum lipid levels which were higher among non-vegetarian women as compared to their vegetarian counterparts from both categories (PCOS and healthy). Interestingly, vegetarian women with PCOS and healthy women had higher serum pro-inflammatory and lower anti-inflammatory markers compared to their non-vegetarian counterparts. Conclusion: Women with PCOS consuming Indian vegetarian diet have higher pro-inflammatory and lower anti-inflammatory marker levels than their age and BMI matched healthy non-vegetarian counterparts. This interesting observation can be attributed to the dietary composition, among other factors and needs confirmation from well-designed randomized studies on a larger cohort. Clinical Trial Registration: The study was registered with CTRI database under registration number CTRI/2013/09/003996.

Diagnosis of disorders of glucose tolerance in women with polycystic ovary syndrome (PCOS) at a tertiary care center: fasting plasma glucose or oral glucose tolerance test?

BACKGROUND

The risk of developing prediabetes and type 2 diabetes (dysglycemia) may be increased in women with PCOS. Whether an oral glucose tolerance test (OGTT) should be performed routinely in all PCOS women at presentation or should be recommended only to a selected subset of patients is still controversial.

BASIC PROCEDURES

At a tertiary care center, we conducted a retrospective, observational study including 400 women with PCOS submitted to an OGTT. Our primary objective was to assess the diagnostic agreement between two algorithms commonly used for the screening of dysglycemia in these women: i) relying only on fasting plasma glucose (FPG) or ii) considering both fasting and/or 120-min plasma glucose concentrations during an OGTT. We conducted the analysis considering all patients as a whole, and also after stratifying them by body weight, androgen concentrations and age.

MAIN FINDINGS

The OGTT detected dysglycemia in 24.5% of patients, whereas only 14.3% women would have been diagnosed using FPG levels alone. The latter missed as many as 40% of women with dysglycemia in our series, including all cases of diabetes. Diagnostic agreement between both algorithms was only 0.55 (κ = 0.103; 95% CI: 0.05-0.16). Areas under the receiver operating characteristic curve for dysglycemia were 0.86 (95%CI: 0.81-0.91) for FPG and 0.91 (95%CI = 0.87-0.95) for 120-min plasma glucose during the OGTT. FPG was not accurate in predicting dysglycemia in women with PCOS regardless of the presence of insulin resistance, weight excess, hyperandrogenemia and age.

PRINCIPAL CONCLUSIONS

Relying on FPG alone is not adequate for the screening of disorders of glucose tolerance in women with PCOS; such diagnosis should rely on the results of an OGTT regardless of age, weight and/or androgen concentrations.

Evaluation of serum anti-nuclear antibody among women with PCOS: a hospital based single center cross sectional study

Polycystic ovary syndrome (PCOS), a major endocrinopathy is associated with barrage of metabolic aberrations. Reports in literature on association of PCOS and autoimmunity are conflicting. We aim to evaluate serum levels of anti-nuclear antibody (ANA) among Indian women with PCOS. In this hospital-based single center cross-sectional study, women qualifying a diagnosis of PCOS by Rotterdam criteria 2003 were recruited. Eighty-nine eligible women who consented were enrolled. All these women along with 87 age-matched, healthy controls underwent, clinical (menstrual history, anthropometry, hirsutism scoring), biochemical, hormonal assessment and serum ANA estimation. OGTT after overnight (8-12 h) fast with 75 g oral glucose load was done for 1 h, 2 h glucose and insulin measurements. The mean age of cases and controls was comparable (22.67 ± 5.53 vs. 22.84 ± 3.64 years). The prevalence of ANA positivity was significantly higher among women with PCOS (18.4% vs. 2.29%; p < .001). Though significant correlation was observed between ANA positivity and clinical signs of hyperandrogenism and plasma glucose, no significant correlation was noted between ANA status and other hormonal parameters. Higher prevalence of ANA positivity among women with PCOS, being a marker of autoimmunity, suggests a possible role of autoimmunity in causation of PCOS and needs further elucidation.

Medical comorbidity in polycystic ovary syndrome with special focus on cardiometabolic, autoimmune, hepatic and cancer diseases: an updated review

PURPOSE OF REVIEW

Polycystic ovary syndrome (PCOS) is defined by hyperandrogenism, irregular menses and polycystic ovaries when other causes are excluded. The possible implication of increased morbidity in PCOS for screening and follow-up is uncertain and is reviewed in this article.

RECENT FINDINGS

The increased risk of type 2 diabetes and cardiovascular disease in PCOS is closely associated with BMI. Women with PCOS should be screened for the elements of the metabolic syndrome upon diagnosis. Measurement of HbA1c and the lipid accumulation product could be important tools to differentiate women with high metabolic risk. The immune function in PCOS is impaired with increased secretion of autoantibodies and increased risk of type 1 diabetes, asthma and thyroid disease. The occurrence of thyroid disease could be modified by BMI and D-vitamin status. Screening for diabetes and thyroid disease is part of routine evaluation for endocrine diseases at baseline in PCOS, whereas the necessity of prospective screening for thyroid disease awaits future studies. Especially obese women with PCOS are at an increased risk of nonalcoholic fatty liver disease, gall bladder disease and endometrial cancer.

SUMMARY

Recent data support that screening and follow-up in patients with PCOS should be stratified according to BMI.

Association of Androgen Excess with Glucose Intolerance in Women with Polycystic Ovary Syndrome

Women with polycystic ovary syndrome (PCOS) show high prevalence of glucose intolerance. This study aimed to investigate the association of androgen excess with glucose intolerance in PCOS. A total of 378 women with PCOS participated in the study. Free androgen index (FAI) was selected as indicator of hyperandrogenism. Insulin sensitivity was assessed by 1/homeostasis model assessment of insulin resistance (1/HOMA-IR) and Matsuda insulin sensitivity index (ISI_M); β-cell function was assessed by disposition index (DI). We found that women with glucose intolerance had higher FAI levels compared to women with normal glucose tolerance (NGT) (prediabetes 6.2, T2DM 7.9 versus NGT 5.0, resp.; p < 0.001). Furthermore, there was a direct association between FAI levels and frequency of glucose intolerance (OR = 2.480, 95% CI 1.387–4.434), even after adjusting for age, BMI, waist circumference, hypertension, fasting insulin, testosterone, SHBG, and family history of diabetes. In addition, with FAI increase, glycosylated hemoglobin (HbA1c), plasma glucose concentrations, and serum insulin levels increased, while insulin sensitivity and β-cell function decreased. Our results suggested that androgen excess indicated by high FAI levels might serve as indicator of glucose intolerance, as it might promote insulin resistance and β-cell dysfunction in women with PCOS.