Maternal androgen excess increases the risk of metabolic syndrome in female offspring in their later life: A long-term population-based follow-up study

PURPOSE

Hyperandrogenic intrauterine environment may lead to the development of metabolic disorders in offspring in their later life. In this study, we aimed to determine the impact of maternal hyperandrogenism (MHA) on metabolic syndrome (MetS) risk in female offspring in their later life.

METHODS

In this cohort study conducted in Tehran, Iran, female offspring with MHA (n = 323) and without MHA (controls) (n = 1125) were selected. Both groups of female offspring were followed from the baseline to the date of the incidence of events, censoring, or end of the study period, whichever came first. We used age-scaled unadjusted and adjusted Cox regression models to assess the hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between MHA and MetS in female offspring. The software package STATA was used for statistical analysis, and the significance level was set at P < 0.05.

RESULTS

We observed a higher risk of MetS (unadjusted HR (95% CI), 1.36 (1.05-1.77)), (P = 0.02) and (adjusted HR (95% CI), 1.34 (1.00-1.80)), (P = 0.05, borderline)), in female offspring with MHA, compared to controls. The results were adjusted for the potential confounders including body mass index (BMI) at baseline, net changes of BMI, physical activity, education status, and birth weight.

CONCLUSION

Our results suggest that MHA increases the risk of developing MetS in female offspring in their later life. Screening of these female offspring for MetS may be recommended.

Maternal androgen excess increases the risk of pre-diabetes mellitus in male offspring in later life: a long-term population-based follow-up study

PURPOSE

Prenatal androgen exposure could be a source of early programming, leading to the development of cardiometabolic diseases in later life. In this study, we aimed to examine cardiometabolic disturbances in males exposed to maternal androgen excess during their prenatal life.

METHODS

In this prospective population-based study, 409 male offspring with maternal hyperandrogenism (MHA), and 954 male offspring without MHA, as controls, were included. Both groups of male offspring were followed from the baseline to the date of the incidence of events, censoring, or end of the study period, whichever came first. Age-scaled unadjusted and adjusted Cox regression models were applied to assess the hazard ratios (HR) and 95% confidence intervals (CIs) for the association between MHA with pre-diabetes mellitus (Pre-DM), type 2 diabetes mellitus (T2DM), pre-hypertension (Pre-HTN), hypertension (HTN), dyslipidemia, overweight, and obesity in the offspring of both groups. Statistical analysis was performed using the STATA software package; the significance level was set at P < 0.05.

RESULTS

A higher risk of Pre-DM (adjusted HR: 1.46 (1.20, 1.78)) was observed in male offspring with MHA after adjustment for potential confounders, including body mass index, education, and physical activity. However, no significant differences were observed in the risk of T2DM, Pre-HTN, HTN, dyslipidemia, overweight, and obesity in males with MHA compared to controls in both the unadjusted and adjusted models.

CONCLUSION

Maternal androgen excess increases the risk of Pre-DM in male offspring in later life. More longitudinal studies with long enough follow-up are needed to clarify the effects of MHA on the cardiometabolic risk factors of male offspring in later life.

Self-reported Male Infertility and Metabolic Disturbance: A Cross-Sectional Study

Background

Male infertility is a growing health problem. It is proposed that infertility is associated with some metabolic abnormalities.

Objectives

This study aimed to examine the prevalence of self-reported male infertility and related metabolic disturbances.

Methods

This is a cross-sectional analysis of the Tehran Lipid and Glucose Study (TLGS). A total of 1526 males participated in the study. Logistic regression was used to examine metabolic factors associated with self-reported male infertility.

Results

The total prevalence of self-reported male infertility was 6.42%. The mean (SD) body mass index (BMI) of participants among fertile and infertile males was 26.80 (3.93) and 26.92 (4.36), respectively. The majority of participants in both groups were in the age group of 40-50 years old. In the fully adjusted model, the odds of infertility were significantly increased by each unit increase in total cholesterol [TC; odds ratio (OR), 1.01; 95% CI, 1.01 - 1.01; P = 0.03] and hip circumference (HC; OR, 1.06; 95% CI, 1.00 - 1.12; P = 0.02), respectively.

Conclusions

The prevalence of self-reported male infertility was 6.42%. Male infertility was positively associated with TC and HC, indicating that knowledge about these risks might assist health care professionals and governments in developing and executing measures to change the status quo.

Bone Health in Women With Polycystic Ovary Syndrome: A Narrative Review

Bone as an active connective and endocrine tissue is influenced by hormones, physical activity, inflammatory factors, minerals, dietary components, and body weight. Bone fractures are a major cause of decreased quality of life and mortality in humans. Polycystic ovary syndrome (PCOS), is one of the most common endocrine disorders in women of reproductive age worldwide. PCOS is associated with disturbances in androgen and estrogen levels, insulin resistance (IR), obesity, as well as low-grade chronic inflammation, and gut microbiota (GM) dysbiosis, all of which may negatively or positively affect bone metabolism. However, it has not yet been well clarified whether PCOS is bone-protective or bone-destructive. This study aimed to review the association between bone health and PCOS, and summarize its related factors. PubMed, Scopus, and Web of Science databases were searched to retrieve relevant English publications investigating the relationship between bone health and PCOS. Several disorders associated with PCOS can negatively or positively affect bone metabolism. Despite some positive effects of insulin, androgens, estrogens, and obesity on bone, IR, estrogen deficiency, low-grade chronic inflammation, and GM dysbiosis may adversely affect the bone metabolism in PCOS women. Studies comparing bone mineral density or bone metabolism and the risk of bone fractures in women with PCOS have controversial results. Further studies are required to understand the mechanisms underlying bone metabolism in PCOS subjects. Moreover, prospective studies are needed to estimate the risk of bone fractures and osteoporosis in PCOS subjects.

Maternal Exposure to D-galactose Reduces Ovarian Reserve in Female Rat Offspring Later in Life

BACKGROUND

Embryonic life is critical for the formation of ovaries in mammals, and the intrauterine environment may affect ovarian reserve.

OBJECTIVES

The present study aimed to investigate the impact of prenatal D-galactose exposure on ovarian reserve in female rat offspring in their later lives.

METHODS

Ten pregnant Wistar rats were randomly divided into two groups. In one group, rats were fed with 35% D-galactose-enriched food from the third day to the end of pregnancy, and in the other group, rats were fed with a standard diet throughout pregnancy. Female offspring (prenatally galactose-exposed rats and non-exposed control rats) were examined in terms of hormonal levels [anti-Mullerian hormones (AMH), follicle-stimulating hormone (FSH), and estradiol (E2)] and ovarian histology at 45 - 50, 105 - 110, and 180 - 185 days of their age.

RESULTS

The number of primordial follicles significantly decreased time-dependently in prenatally galactose-exposed rats compared to controls (P-value = 0.002). In addition, decreases in AMH (3.25 vs. 7.5 ng/mL; P = 0.000) and E2 (7.9 vs. 19.5 pg/mL; P = 0.000) and increases in FSH (6.5 vs. 0.8 mIU/mL; P < 0.007) were observed in galactose-exposed rats compared to controls at 45 - 50 days of age.

CONCLUSIONS

Prenatal exposure to D-galactose negatively affects ovarian reserve in female rats in their later lives. However, further investigation is needed to confirm our findings and explore underlying mechanisms.

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.