Endocrine and Metabolic Profile of Different Phenotypes of Polycystic Ovarian Syndrome

Association of dietary inflammatory index with C-reactive protein and interleukin-6 in women with and without polycystic ovarian syndrome

Considering that interventions related to lifestyle, especially nutrition have been proposed as the first line of prevention and treatment of polycystic ovarian syndrome (PCOS), and regarding the proven relationship between PCOS and inflammation, the present study was designed to find out the possible association of Diet Inflammatory Index (DII) with the inflammatory markers like C-reactive protein (CRP) and Interleukin-6 (IL-6), and compare the obtained results in PCOS and non-PCOS women. This case-control study was conducted on 45 PCOS and 40 non-PCOS women. Food intake and DII were measured using a 147-item Food Frequency Questionnaire. All participants were tested for the serum levels of IL-6 and CRP. Finally, the obtained results were compared between the two groups of PCOS and non-PCOS women. Significant differences were observed between the two groups in terms of age, menstrual status and number of pregnancies (P < 0.05). Comparison of DII values showed no significant difference between the two groups of women (P = 0.68), but IL-6 was significantly higher in the PCOS group than in the control group (4.94 ± 1.97 vs. 3.48 ± 1.77, P < 0.001). Also in terms of CRP, no significant difference was observed between the two groups (P > 0.05). The difference of DII between the case and control groups were not significant and Pearson's correlation test did not show a significant correlation between DII and IL-6 (P˃0.05). This result can be due to the influence of several factors affecting the determination of DII such as education level, health status, physical activity level, age, and calorie intake. It seems that diet, especially consumption of more carbohydrates plays a role in causing chronic inflammation, as well as the occurrence and exacerbation of PCOS.

Cardio-metabolic risk in Rotterdam clinical phenotypes of PCOS

BACKGROUND AND AIMS

Elevated anti-Müllerian hormone (AMH) in polycystic ovary syndrome (PCOS) characterizes the clinical severity of the 4 phenotypes; but whether it also reflects the corresponding differences in cardio-metabolic risk remains to be elucidated. This study aimed to compare metabolic profile between the 4 clinical phenotypes of PCOS and to determine the influence of AMH levels on metabolic severity.

METHODS

One hundred and forty-four women with PCOS, aged between 20 and 40years, were recruited in this cross-sectional study and categorized according to the 4 phenotypes of the Rotterdam criteria. Anthropometry and blood pressure were recorded. Fasting lipid profile, fasting glucose, fasting insulin, homeostasis model assessment insulin resistance, total testosterone and AMH were estimated. Clinical, anthropometric and metabolic profiles were compared between the 4 phenotypes.

RESULTS

There were significant differences in menstrual abnormalities, weight, hip circumference, clinical hyperandrogenism, ovarian volume and AMH levels between the 4 phenotypes. Cardio-metabolic risk factors and rates of metabolic syndrome (MS) and insulin resistance (IR) were comparable.

CONCLUSION

Cardio-metabolic risk is similar in all phenotypes of PCOS despite differences in anthropometry and AMH levels. All women diagnosed with PCOS should undergo screening and lifelong surveillance for MS, IR and cardiovascular diseases, irrespective of clinical phenotype or AMH level. This needs further validation in prospective multi-center studies across the country, with larger sample sizes and adequate power.

Association of insulin resistance with polycystic ovary syndrome phenotypes and patients' characteristics: a cross-sectional study in Iran

BACKGROUND

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women. This disorder affects 6-15% of women of childbearing age worldwide. It is diagnosed with hyperandrogenism, polycystic ovaries, and chronic anovulation with insulin resistance. This study aimed to assess the prevalence of insulin resistance (IR) in 4 phenotypes of PCOS, and its relationship with demographic, clinical, and paraclinical individual characteristics in a sample of Iranian PCOS patients.

METHODS

This particular cross-sectional investigation involved 160 female participants, aged between 18 and 45 years, who were receiving care at gynecology clinics in Urmia, northwestern Iran. All the participants had been diagnosed with PCOS and were categorized into one of four phenotypes. All the participants underwent clinical evaluations, paraclinical assessments, and ultrasound scans. IR was defined as HOMA-IR > 2.5. The statistical significance level was 0.05.

RESULTS

Among the 160 participants, the prevalences of the 4 phenotypes were: A: 83 (51.9%), B: 37 (23.1%), C: 21 (13.1%), and D: 19 (11.9%). IR was detected in 119 participants (74.4%); its rate was significantly different between the 4 phenotypes (p-value: 0.008) as A: 62 (74.7%), B: 34 (91.9%), C: 12 (57.1%), D: 11 (57.9%). Linear and logistic regression analyses were performed to control confounding factors. In linear regression, PCOS phenotype, classic phenotype (A&B), economic status, and Hb levels were significantly related to HOMA-IR; in logistic regression Hb levels, exercise, economic status, and PCOS phenotypes were significantly associated with insulin resistance.

CONCLUSIONS

The most prevalent PCOS phenotype in this study was A. PCOS phenotypes were significantly related to insulin resistance and HOMA-IR, with the highest levels of insulin resistance and HOMA-IR observed in phenotype B. Determining the phenotype of PCOS may be helpful for better management of PCOS and its associated complications. However, further investigations are recommended in this regard.

Correlation of Body Mass Index with Anthropometric and Biochemical Parameters Among Polycystic Ovary Syndrome Phenotypes

This was a prospective observational study, conducted at a tertiary care health centre in Rajasthan. A total of 68 women with PCOS (Rotterdam criteria) attending OPD at Department of Obstetrics and Gynecology qualified as per inclusion and exclusion criteria were included in the study. Each participant was examined for anthropometric and biochemical parameters. The largest phenotypic group was phenotype A, (41.17%); followed by B (26.47%); C (20.58%), and D (P + O) phenotypes (11.76%). Hyperandrogenic phenotypes (A, B, C), had significantly higher prevalence of deranged serum glucose (fasting and postprandial), lipid profile and serum TSH than normoandrogenic phenotype D. BMI was strongly correlated with anthropometric (p < 0.001) and biochemical parameters (p < 0.05) in phenotype A among four phenotypes of PCOS. Phenotype A was the most common form of PCOS and a strong correlation of BMI with waist circumference (WC), dyslipidemia and Sub-clinical hypothyroidism (SCH) was observed in women of this phenotype of PCOS. These results indicate that phenotype A is at increased risk of CVD and diabetes and phenotype D has least metabolic risks.

Evaluation of Hormonal Profile and Ovarian Morphology among Adolescent Girls with Menstrual Irregularities in a Tertiary Care Centre at Central India

Menstrual disturbances are common among adolescents with a prevalence rate of 11.3–26.7%. The most frequent menstrual irregularities are oligomenorrhea, menorrhagia, polymenorrhoea, and hypomenorrhea. PCOS (polycystic ovarian syndrome) is now recognized as the most prevalent endocrine disorder among the women of reproductive age. The current study was planned to evaluate socio-demographic factors, endocrine profiles, and ovarian morphology among adolescent girls with menstrual irregularities and compare these parameters in different phenotypes of adolescent PCOS cases. It is a hospital-based cross-sectional study among 248 adolescent girls (10–19 years) with menstrual irregularities. After obtaining informed consent, history and clinical examination findings were recorded on preform proforma. All girls were assessed on day 2/3 of the menstrual cycle for hormonal profile (serum TSH, FSH, LH, prolactin, and serum testosterone) and ovarian morphology (by transabdominal ultrasonography). All participating girls were divided into three groups (groups 1, 2, and 3) corresponding to phenotypes A, B, & D as per the Rotterdam criteria. In the study, oligomenorrhea was the most common menstrual disorder (70.97%). Biochemical hyperandrogenism and thyroid dysfunction were reported in 14.91% and 8.46% of girls, respectively. Our study noted that phenotype D ,i.e., group 3 (MI + PCOM-HA; 49.43%) was the most common phenotype in the study. In a comparative analysis of different groups, significant differences (p < 0.05) in hormonal and metabolic parameters showed highest in group 2, which represents phenotype B of PCOS (hyperandrogenic anovulation). This analysis revealed that adolescent hyperandrogenism (phenotypes A and B) is associated with a more deranged hormonal and metabolic profile than nonandrogenic PCOS (phenotype D). To prevent long-term sequelae, lifestyle changes, early treatment, and close follow-up are recommended in this subset of girls.

The Prevalence of Polycystic Ovary Syndrome, Its Phenotypes and Cardio-Metabolic Features in a Community Sample of Iranian Population: Tehran Lipid and Glucose Study

Objectives

The aim of the present study was to evaluate the prevalence of polycystic ovary syndrome (PCOS), its phenotypical and cardio-metabolic features in a community sample of the Iranian population in comparison to healthy eumenorrheic, non-hirsute women without polycystic ovaries. The second aim was to assess the cardio-metabolic characteristics of women who suffered from one criteria of PCOS compared to those healthy eumenorrheic, non-hirsute women.

Methods

In this cross-sectional population-based study, a total of 1,960 eligible women, aged (18-45 years) were recruited from the Tehran-Lipid and Glucose-Study participants and were classified as the three groups of (i) women with PCOS by the Rotterdam criteria, (ii) non-PCOS women with one criteria of PCOS and (iii) healthy eumenorrheic, non-hirsute women without polycystic ovaries morphology (PCOM) as the control group. Further PCOS women were extended to four phenotypes of hyperandrogenism, oligo-anovulation, polycystic ovaries (phenotype A), hyperandrogenism, oligo/anovulation (phenotype B), hyperandrogenism, polycystic ovaries (phenotype C) and oligo-anovulation, polycystic ovaries (phenotype D). Cardio-metabolic profiles and the prevalence of comorbidities of metabolic syndrome (MetS) and lipid abnormalities were compared among these groups linear, and the median regression models adjusted for age and body mass index.

Results

The prevalence of PCOS according to the diagnostic criteria of the NIH, Rotterdam and AE-PCOS Society were 13.6, 19.4, and 17.8, respectively. Among those who met the Rotterdam criteria, 23.9, 46.3, 21.6, and 8.2% had phenotypes A, B, C, and D, respectively. Among the remaining 1,580 women who did not fulfil the PCOS criteria, 108 (6.8%) suffered from only oligo/anovulation, 332 (21%) only hyperandrogenism/hyperandrogenemia, 159 (16.2%) only PCOM in ultrasound and 981 (62%) were healthy eumenorrheic, non-hirsute women without PCOM. The study revealed that some adiposity indices and lipid abnormalities in PCOS phenotypes with hyperandrogenism (A, B, and C) were worse than in healthy women. By contrast, women with phenotype D did not differ from the healthy ones in terms of adiposity and lipid abnormalities. However, the respective values for other cardio-metabolic profiles and MetS rates in different phenotypes of PCOS were similar to the healthy women. Only the prevalence of MetS in phenotype A was significantly higher than in the healthy women. There were no statistically significant differences between participants with one criteria of PCOS and healthy counterparts in terms of most adiposity indexes, cardio-metabolic factors, and comorbidity of MetS and its components. However, women with hyperandrogenism had a significantly higher level of the waist to height ratio (WHtR) and hypertriglyceridemia than their healthy counterparts.

Conclusion

PCOS, mainly classical phenotypes A and B, are common among Iranian women of reproductive age. Women with PCOS who had androgen excess exhibited the worst lipid profile, and those who had full three criteria of the syndrome exhibited the higher rate of MetS. However, women with only ovulatory dysfunction and only PCOM had similar cardio-metabolic characteristics, compared to healthy subjects. These data suggest that routine screening for metabolic disturbances may be needed in the prevention of cardio-metabolic disorders in patients with more serious phenotypes of PCOS.

Metabolic syndrome and its components in different phenotypes of polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy affecting reproductive-age women. Important factors in its pathogenesis are hyperinsulinaemia and insulin resistance, which lead to higher risk of metabolic syndrome (MetS) and its complications. With the implementation of the Rotterdam diagnostic criteria in 2003, the group of PCOS patients became highly heterogeneous, with varying metabolic risk reported for different phenotypes of the syndrome. The aim of the present review is to assess the prevalence and severity of MetS and its components in patients with the four phenotypes of PCOS. A comprehensive search of Pubmed database was performed to identify studies comparing metabolic characteristics between PCOS patients with different phenotypes of the syndrome. The results of 60 studies published between 2004 and 2020 were retrieved and analysed. More adverse metabolic profile was observed in PCOS patients with hyperandrogenic phenotypes in comparison to normoandrogenic patients, as well as in classic phenotypes, defined by National Institutes of Health criteria, in comparison to newer phenotypes introduced by the Rotterdam criteria. In the majority of observations, normoandrogenic PCOS patients did not differ significantly from controls in terms of metabolic characteristics, although some East Asian studies reported more adverse metabolic profile in normoandrogenic phenotype in comparison to healthy women. In conclusion, metabolic abnormalities in PCOS seem to be associated with joint effects of hyperandrogenism, insulin resistance and visceral obesity. The differences observed between the four phenotypes of PCOS underline the need for individualised diagnostic and therapeutic approach.

Elucidating the impact of obesity on hormonal and metabolic perturbations in polycystic ovary syndrome phenotypes in Indian women

Polycystic ovary syndrome is a complex endocrinopathy with heterogeneous presentation and multifactorial etiology. We have undertaken this case-control study to compare metabolic and endocrine characteristics in different phenotypic subgroups of women with PCOS and the impact of obesity on them. Women with PCOS (n = 489) were classified into 4 phenotypes according to Rotterdam criteria. Comparisons of clinical, biochemical and hormonal parameters were performed across all phenotypic groups of PCOS and with controls (n = 270) by Welch’s ANOVA with subsequent Games-Howell post-hoc test. We found maximum prevalence of normoandrogenic phenotype D, which is milder form of PCOS in terms of insulin resistance, gonadotropin levels and dyslipidemia, followed by phenotype A, in our total study population. After classification of the study group into lean and obese groups, only few insulin and lipid-related traits showed marked differences between phenotypes. Further, we noted that obese women showed adverse metabolic but not androgenic traits compared to lean counterparts in the same phenotype. Metabolic syndrome frequency is increased in hyperandrogenic phenotypes with HDL-C and waist circumference being most predominant contributing factors in total, lean and obese groups. We demonstrate that in our study population there is greater occurrence of phenotype D of PCOS. Our study highlights the importance of clinicians concurrently employing Rotterdam criteria along with obesity status for ascertaining accurate PCOS status and formulating suitable therapeutic intervention.

Dietary intake and lifestyle behaviour in different phenotypes of polycystic ovarian syndrome: a case-control study

BACKGROUND

The present study aimed to compare dietary intake and lifestyle behaviour in women with polycystic ovarian syndrome (PCOS) and healthy women.

METHODS

One hundred and sixty healthy women (partner with male infertility) were recruited to a control group; 168 women with PCOS (diagnosed on ultrasound) were recruited to a case study group for this cross-sectional comparative study. The case group was classified into three phenotypes based on the presence or absence of menstrual disorder (M), hyperandrogenism (HA) and polycystic ovary according to sonography (PCO): HA+PCO (n = 53), PCO+M (n = 57) and M+HA+PCO (n = 66). Dietary intake and lifestyle behaviour were measured using a food frequency questionnaire and a lifestyle questionnaire.

RESULTS

The mean energy (P < 0.001) and fat (P < 0.001) intakes were greater in PCOS groups compared to the control group. The average energy and fat intakes were greater in HA+M+PCO group after age and body mass index (BMI) adjustment compared to the other phenotypes (P < 0.001). In comparison with the control group, lifestyle scores were lower in the PCOS group in the fields of physical activity, weight and nutrition control after age and BMI adjustment (P < 0.001). The average score of lifestyle in the fields of physical activity, weight and nutrition control, and psychological health was lower in the phenotype HA+M+PCO compared to the other phenotypes (P < 0.001).

CONCLUSIONS

A limited energy and fat intake is strongly recommended in Iranian women with PCOS, especially for phenotype HA+M+PCO. Consultation with respect to improvement of psychological health and the importance of weight and nutrition control, as well as appropriate physical activity, is advocated, especially in patients with phenotype HA+M+PCO.