Anthropometric and body composition analysis of infertile women with polycystic ovary syndrome

Assessing body composition through anthropometry: Implications for diagnosing and managing polycystic ovary syndrome (PCOS)

Polycystic ovary syndrome (PCOS) is a multifaceted endocrine disorder with profound implications for the reproductive and metabolic health of women. The utilization of anthropometric measures in the diagnosis and management of PCOS has gained increasing attention due to their practicality and predictive capacity for associated conditions such as obesity and insulin resistance. This review rigorously explores the application of various anthropometric indices, including body mass index, waist-to-hip ratio, and advanced metrics such as the body shape index and body roundness index, wrist circumference, neck circumference. These indices offer critical insights into body fat distribution and its association with the metabolic and hormonal perturbations characteristic of PCOS. The review underscores the necessity of addressing obesity, a prevalent comorbidity in PCOS, through lifestyle modifications and personalized therapeutic approaches. By incorporating anthropometric evaluations into routine clinical practice, healthcare professionals can enhance diagnostic precision, optimize treatment strategies, and ultimately improve patient outcomes. This integrative approach not only facilitates the management of the metabolic challenges inherent in PCOS but also contributes to the development of more individualized therapeutic interventions, thereby enhancing the overall quality of life for women affected by PCOS.

A Comparative Analysis of Serum Irisin Levels and Body Composition Indices in Women With and Without Polycystic Ovary Syndrome (PCOS)

Introduction Polycystic ovarian syndrome (PCOS) is a prevalent endocrine-metabolic disorder impacting women of reproductive age, often manifesting during adolescence. This study aimed to determine serum irisin levels in subjects with PCOS compared to healthy controls and explore the correlation between irisin levels and body composition indices. Methods A cross-sectional study was conducted at a tertiary care hospital. Thirty-three women with PCOS and 32 healthy, age-matched controls were recruited. Relevant socio-demographic and clinical data were collected, and body composition was analyzed using bioelectrical impedance analysis (BIA). Serum irisin levels were measured using enzyme-linked immunosorbent assay (ELISA), and statistical analysis was performed using CoGuide software (Evidencian Research Associates, Bengaluru, India). Results PCOS subjects exhibited significantly higher levels of clinical features associated with hyperandrogenism, including elevated systolic (SBP) and diastolic blood pressure (DBP), body mass index, waist-hip ratio, total cholesterol, low-density lipoproteins (LDL), serum testosterone, body fat percentage, subcutaneous fat percentage, visceral fat percentage, and fat mass index, along with lower high-density lipoprotein levels and lean mass percentage, compared to controls. Serum irisin levels were significantly higher in PCOS cases (10.82 (8.5-14.31) ng/mL) than in controls (2.57 (2.19-4.65) ng/mL). There was a moderate positive correlation between serum irisin and SBP, DBP, hirsutism, total cholesterol, LDL, visceral fat, and serum testosterone levels. Weak correlations were observed between serum irisin and other body fat indices. Subjects with metabolic syndrome exhibited higher irisin levels and significantly elevated body composition indices, including body fat percentage, visceral fat percentage, fat mass index, and fat-free mass index, compared to those without metabolic syndrome. Conclusions PCOS subjects have elevated serum irisin levels, which correlate positively with clinical and biochemical hyperandrogenism, total cholesterol, LDL, and visceral fat. These findings suggest that irisin may play a role in the metabolic and hormonal dysregulation observed in PCOS.

Differential Gene Expression Analysis of Human Ovarian Follicular Cumulus and Mural Granulosa Cells Under the Influence of Insulin in IVF Ovulatory Women and Polycystic Ovary Syndrome Patients Through Network Analysis

BACKGROUND

Polycystic ovarian syndrome (PCOS) is a commonly occurring reproductive disorder among the reproductive-aged women. Its global occurrence varies based on diagnostic guidelines, ethnicities, and locations of concern. Insulin resistance (IR) is commonly observed around 65-70% of women diagnosed with PCOS, representing a prevalent association. Consequently, the study was designed with an objective of illustrating the effect of insulin on mural and cumulus granulosa cells (GCs) of PCOS patients in comparison to normal ovulating women.

METHODOLOGY

This study is a case-control design, wherein a total of 80 participants were recruited meeting criterion of inclusion and exclusion, divided into 8 groups with each group consisting of 10 samples. The process involves the isolation and culturing of mural granulosa cells (MGC) and cumulus granulosa cells (CGC) with and without exposure to insulin. The proteins released by untreated GCs and insulin-treated GCs were extracted, and complex protein mixtures were digested with trypsin, followed by tandem mass spectrometry analysis and data processing using bioinformatics.

RESULTS

We found 595 proteins in both control and PCOS samples, of which 310 were contributed by MGCs and 285 by CGCs. The PCOS MGCs expressed 20%, both the normal MGCs and CGCs have equal representation of 16% by each, whereas the PCOS CGCs proteins contributed 15% of the total of the proteomic expression. However, the poor expression observed with the Insulin exposure, the Insulin treated PCOS CGCs contributes 13%, PCOS MGCs contributes 8%. The normal MGCs upon the Insulin treatment give 8% then and there only 4% of proteins expressed by normal CGCs after Insulin treatment. The Venn analysis widened on their precise expression topographies. The examination of strings exhibited important protein-protein interaction pathways.

CONCLUSION

This is a pioneering investigation aimed to establish the link between hyperinsulinemia in localized follicular GCs and PCOS mechanisms by comparing them to control group. The examination of various attributes, mechanisms, and traits shown by genes and proteins in individuals with PCOS compared to control populations, alongside the investigation of the dynamics of these genes and proteins following exposure to insulin, holds promise for the formulation of novel hypotheses and strategies in the identification of new biomarkers.

Dual-energy X-ray absorptiometry and adiposity index are sensitive methods to evaluate central fat accumulation in women with polycystic ovary syndrome and normal body mass index

Objective

This study aimed to determine the differences in body fat distribution and central obesity indicators using dual-energy X-ray absorptiometry (DXA), adiposity indices, and anthropometric indices between women with and without polycystic ovary syndrome (PCOS).

Materials and methods

Clinical and laboratory examination history, including transvaginal ultrasound, fasting blood samples, anthropometric measurements, and DXA scans were conducted in 179 women with PCOS (PCOS group) and 100 without PCOS (non-PCOS group). The volunteers were grouped by body mass index (BMI): normal (18-24.9 kg/m2), overweight (25-29.9 kg/m2), or obese (>30 kg/m2). The visceral adiposity index (VAI) and lipid accumulation product (LAP) were calculated, regions of interest (ROIs) were determined, and the fat mass index (FMI) was calculated using DXA.

Results

VAI, LAP, ROIs, FMI, and adiposity indices by DXA were higher in women with PCOS and normal BMI. In both PCOS and non-PCOS groups, the ROIs progressively increased from normal BMI to overweight and obese, and from overweight to obese. Obese women with PCOS showed high trunk fat mass. However, obesity was not able to modify these trunk/periphery fat ratios in PCOS from overweight to higher BMI. These variables were associated with the incidence of PCOS.

Conclusion

In women with PCOS and normal BMI, both DXA and the adiposity indices, VAI and LAP, are more sensitive methods to evaluate total body fat and fat accumulation in the central abdominal region. It was also observed that as BMI increased, the differences in measurements between women with and without PCOS decreased.

Metabolic risk factors and fertility disorders: A narrative review of the female perspective

Metabolic risk factors such as obesity are considered major obstacles to female fertility. Chronic infertility imposes psychological and social burdens on women because infertility violates societal gender roles. Although the prevalence of obesity among women is expected to increase in the future, the relevance of metabolic status for fertility is still underestimated. However, the assessment of metabolic risk factors is highly relevant for understanding fertility disorders and improving infertility treatment. This narrative review discusses the associations of metabolic risk factors (e.g. obesity, female athlete triad, oxidative stress) with significant infertility. An electronic search was conducted for studies published between 2006 and 2020 in Cumulative Index to Nursing and Allied Health Literature, ScienceDirect, PubMed, Scopus, Google Scholar and related databases. In total, this search identified 19,309 results for polycystic ovary syndrome, 28,969 results for endometriosis, and only 1611 results for idiopathic and/or unknown infertility. For the present narrative review, 50 relevant studies were included: 19 studies were on obesity, 24 studies investigated the female athlete triad, and seven studies addressed other risk factors, including reactive oxygen species. This narrative review confirms the direct impact of obesity on female infertility, while the effect of other risk factors needs to be confirmed by large-scale population studies.

Association of the CYP17 and CYP19 gene polymorphisms in women with polycystic ovary syndrome from Punjab, Pakistan

BACKGROUND

Polycystic ovarian syndrome (PCOS) is considered the most common multifactorial endocrinopathy. Genetic factors play an essential role in the pathogenesis of PCOS. CYP 17 enzyme is responsible for androgenesis, while CYP 19 enzyme works for androgen conversion into aromatic estrogen. Several studies have reported their association with PCOS. This study was aimed to investigate the association of cytochrome P450c17α gene (CYP17) 5'-untranslated region MspA1/(rs743572) genetic polymorphism and rs2414096 of cytochrome P450 or aromatase (CYP19) gene polymorphism with the susceptibility to PCOS in reproductive-age women from Punjab, Pakistan.

METHODS

We performed a case-control association study was conducted, including 204 PCOS patients and 100 controls. Genotyping of SNP rs2414096 (CYP 19 gene) and P450c17α gene (CYP17) 5'-untranslated region MspA1 was performed on genomic DNA using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Statistical analysis was performed to find out the association of phenotypic and genotypic characters in etiopathology of PCOS.

RESULTS

The genotype distribution for CYP 17 5'-UTR MspA1 (TT, TC, CC) revealed that the frequency of genotype TC is significantly higher in PCOS patients (54.9%) vs. controls (OR 4.97, 95% CI 2.75-8.33, p<.001) (12%). The genotype distribution for CYP 19 (GG, GA, AA) showed significantly higher frequency of GA (58.%) and AA (23.5%) in patients as compared to cases (18% and 8%, respectively) (OR 5.49, 95% CI 3.61-8.34, p<.001). Body mass index (BMI), waist, hip, infertility and family history of infertility, PCOS, diabetes, and hypertension were found significantly associated with PCOS. CYP 19 genotypes were found significantly associated with PCOS patients having paraclinical traits of infertility and family history of infertility, while CYP 17 genotypes showed no significant association with any paraclinical traits in PCOS patients.

CONCLUSIONS

This is the first study on PCOS genotypes from Pakistan and results suggest that CYP 17 5'-UTR MspA1 (rs743572) (genotype TC) and CYP 19 gene (rs2414096) (genotype GA) polymorphisms are significantly associated with susceptibility to PCOS in Pakistani women having the traits of infertility and family history of hypertension.

Evaluation of Body Fat Composition and Digit Ratio (2D:4D) in Polycystic Ovary Syndrome in Adolescents

Polycystic ovary syndrome (PCOS) is a common endocrine disorder. It is a multi-factorial disease, of which excess androgen and android fat pattern is previously reported. The digit ratio (2D:4D) is the ratio of length of index finger to the length of ring finger which epitomize the prenatal gonadal hormone exposure. So, the present study aimed to evaluate body fat composition and digit ratio among young adolescent PCOS patients and normal individuals. It was an analytical cross-sectional study. Based on the inclusion and exclusion criteria, 48 subjects (24 in each group), that is, control and PCOS group were identified and baseline characteristics were recorded. Body fat composition was evaluated using body fat analyzer and digit ratio (2D:4D) was measured using the digital Vernier calipers. Student's t-test was used to assess differences between means. In the present study, BMI was significantly increased among the PCOS group compared to the normal (p=0.03). The 2D:4D digit ratio was significantly lower (p=0.001) among the PCOS group. Body fat (p=0.05) and visceral fat (p=0.01) were significantly higher among the PCOS group. There was negative correlation between BMI, body fat, visceral fat and digit ratio, but was not statistically significant while body fat, visceral fat and BMI showed significant positive correlation. The present study indicates that the 2D:4D digit ratio is decreased, while BMI, body fat and visceral fat are significantly increased among the PCOS group. Digit ratio and body fat can be used to evaluate the high risk PCOS adolescents and plan early interventions.

Influence of KISS1 gene polymorphisms on the risk of polycystic ovary syndrome and its associated variables, in Saudi women

BACKGROUND

Polycystic ovary syndrome (PCOS) is a complex multifactorial disorder, affecting millions of women worldwide. The role of genetic polymorphisms of the KISS1 gene on the development of PCOS is still obscure. This study was designed to investigate the probable influence of KISS1 gene polymorphisms on PCOS and its associated variables: BMI, waist-hip ratio, kisspeptin, LH, FSH, and LH-FSH ratio.

METHODS

The study comprised 104 PCOS women and 109 controls, with age ranging from 19 to 36 years. BMI, waist-hip ratio, and circulating levels of kisspeptin, LH, and FSH were measured. DNA was extracted, and genotyping of the KISS1 gene was carried out by nucleotide sequencing. The PCOS-associated variables were analyzed in different genotypes of single nucleotide polymorphisms (SNPs) of the KISS1 gene.

RESULTS

The values of waist-hip ratio (WHR), LH, and LH-FSH ratio were significantly higher in PCOS women than controls. BMI, kisspeptin, and FSH levels exhibited no significant difference between the groups. Six novel SNPs of KISS1 gene were identified. Three: rs372790354G > A, rs12998G > A, and rs35431622A > T were investigated. Among these SNPs, the genotype and allele frequencies of rs372790354 showed significant association with PCOS (GA: p = 0.018, AA: p = 0.022, mutant allele-A: p = 0.021) and the G allele was protective. The values of LH, kisspeptin, and WHR of PCOS women were significantly influenced (p < 0.05) by the AA genotype of rs372790354. The other two SNPs rs12998G > A and rs35431622A > T revealed no significant influence on PCOS and associated variables. Haplotypes were constructed, but there was no significant difference between the patients and controls.

CONCLUSION

In conclusion, this is the first study, which reports a significant influence of KISS1 gene polymorphism (rs372790354G > A) on PCOS and its associated variables. However, more extensive research is necessary to confirm these findings.