Comparing the effects of meal replacements with an isocaloric reduced-fat diet on nutrient intake and lower urinary tract symptoms in obese men.

BACKGROUND: Lower urinary tract symptoms (LUTS) in men are associated with obesity, particularly central obesity as measured by waist circumference (WC), and may improve with weight loss. We aimed to compare effects of a meal-replacement based diet with isocaloric reduced-fat plan on LUTS and nutrient intake in obese Asian men. METHODS: Obese Asian [mean (range) body mass index of 32.9 (30.5-42.3) kg m(-2) ] men [mean (range) age 40.2 (30-61) years] were randomised to a reduced-fat (< 30% of energy) diet [conventional reduced-fat diet (CD) group; n = 23] or meal-replacement-based plan [meal replacement (MR) group; n = 23], to reduce daily intake by 2000 kJ for 12 weeks. RESULTS: CD and MR groups had statistically significant and similar reductions in weight (-2.6 ± 1.9 kg versus -4.2 ± 3.8 kg), overall LUTS severity measured with International Prostate Symptom Scale (IPSS) scores (-1.71 ± 1.93 points versus -2.42 ± 2.12 points) and insulin resistance [homeostasis model assessment (HOMA) calculated from plasma glucose and insulin]. The MR group had significantly greater decreases in WC (-4.8 ± 3.3 cm versus -2.5 ± 2.3 cm), fat mass (-2.47 ± 3.63 kg versus -1.59 ± 2.32 kg), fat intake, plasma C-reactive protein, and in storage LUTS score (-1.59 ± 1.33 points versus -1.00 ± 0.87 points), which was associated with a decreased fat intake (r = 0.48, P = 0.03). A decrease in overall IPSS score was associated with reductions in weight, WC and HOMA. CONCLUSIONS: Weight loss as a result of CD or MR had similar efficacy in relieving LUTS. MR produced greater reductions in fat intake, adiposity and storage LUTS.

Metabolic syndrome.

Metabolic syndrome is a clustering of different risk factors that collectively increases the risk of developing cardiovascular disease and type 2 diabetes mellitus. The syndrome itself is associated with various metabolic abnormalities, including insulin resistance, non-alcoholic fatty liver disease, obstructive sleep apnoea, male hypogonadism and polycystic ovary syndrome. This review aims to discuss recent developments related to the syndrome, including the associated metabolic complications and goals for therapeutic strategies.

Insulin resistance variability in women with anovulatory and ovulatory polycystic ovary syndrome, and normal controls.

Women with polycystic ovary syndrome (PCOS) were found to have a higher biological variability in insulin resistance (IR) compared to controls, but it is unknown whether this variability in IR differs between PCOS who are anovulatory compared to those who have an ovulatory cycle. The primary aim of this study was to compare and contrast the variability of IR in women with ovulatory and anovulatory PCOS, in comparison to normal subjects. 53 Caucasian women with PCOS and 22 normal ovulating women were recruited. Fasting blood was collected each day on 10 consecutive occasions at 3-4 day intervals for analysis of insulin, glucose, progesterone, and testosterone. Analysis of progesterone levels showed 22 of 53 women with PCOS to have had an ovulatory cycle. Insulin resistance was calculated by HOMA method. Women with anovulatory PCOS had higher mean and variability of IR compared to those having an ovulatory cycle, and both were significantly higher than controls (mean ± SEM; HOMA-IR 4.14 ± 0.14 vs. 3.65 ± 0.15 vs. 2.21 ± 0.16, respectively) after adjustment or BMI. The mean BMI for individual PCOS patients correlated with mean HOMA-IR (p=0.009). Insulin resistance in women with anovulatory PCOS is both higher and more variable than in ovulatory PCOS. Since anovulatory PCOS therefore mimics the IR features of type 2 diabetes more closely, anovulation may be particularly associated with a higher cardiovascular risk compared to PCOS patients who ovulate.

Insulin resistance and free androgen index correlate with the outcome of controlled ovarian hyperstimulation in non-PCOS women undergoing IVF.

BACKGROUND: The dual effects of insulin and androgen on the ovary act to promote early folliculogenesis. In the context of polycystic ovarian syndrome (PCOS), the presence of hyperinsulinaemia, resulting from increased insulin resistance (IR), and hyperandrogenaemia lead to the appearance of multiple antral follicles and frequently a multi-follicular response to gonadotrophin stimulation for assisted reproductive treatments (ARTs). The effect of IR and androgen status in women without PCOS on the follicular outcome of controlled ovarian hyperstimulation (COH) is not known. METHODS: We assessed the IR [using the homeostasis model assessment (HOMA)] and androgen status of 49 women without PCOS undergoing an ART cycle. This was then related to the treatment cycle outcome. RESULTS: We found a significant positive correlation between HOMA and BMI, and free androgen index (FAI) and testosterone. The FAI significantly positively correlated with total follicle count after COH. The total follicle count was significantly higher in those with a HOMA >2.5, and HOMA positively correlated with total follicle count in this group of IR women (HOMA > 2.5). CONCLUSIONS: Our results suggest a positive correlation of HOMA-IR levels above a threshold level of 2.5 and a continuous positive correlation of free androgen (FAI) to total ovarian follicle count following COH in the non-PCOS patient.

Effect of metformin, orlistat and pioglitazone treatment on mean insulin resistance and its biological variability in polycystic ovary syndrome.

CONTEXT: Mean insulin resistance (IR) is greater and it is also more variable in overweight women with polycystic ovarian syndrome (PCOS) compared to weight matched controls. Whilst treatment will reduce the mean IR, it is not known if the IR variability is also reduced. OBJECTIVE: To compare the change in IR and its variability before and after treatment with insulin sensitization through metformin and pioglitazone, compared to that induced by weight loss with orlistat. DESIGN: Randomized, open labelled parallel study. SETTING: Endocrinology outpatient clinic at a referral centre. PATIENTS: Thirty obese PCOS patients [BMI 36.0 +/- 1.2 kg/m(2) (mean +/- SEM)] participated in the study. INTERVENTION: The change in biological variability (BV) was assessed by measuring IR (homeostasis model assessment method) at 4-day intervals on 10 consecutive occasions before and 12 weeks after randomization to metformin, pioglitazone or orlistat. OUTCOME MEASURED: The primary end point of the study was a change in BV of IR. RESULTS: Treatment with pioglitazone, orlistat and metformin reduced the overall IR by 41.0 +/- 4.1%, 19.7 +/- 6.4% and 16.1 +/- 6.8% (P = 0.005, P = 0.013, P = 0.17, respectively) and IR variability by 28.5 +/- 18.0%, 41.8 +/- 11.6% and 23.7 +/- 17.0 (P = 0.20, P = 0.015 and P = 0.28, respectively). Free androgen index reduced significantly with all treatments. CONCLUSION: Only orlistat reduced both IR and its variability significantly, though all three drugs were effective in reducing hyperandrogenism within the 12-week period of the study.

Biological variation of total testosterone, free androgen index and bioavailable testosterone in polycystic ovarian syndrome: implications for identifying hyperandrogenaemia.

OBJECTIVE: Hyperandrogenaemia is one of the three Rotterdam consensus diagnostic criteria for polycystic ovarian syndrome (PCOS) and may be measured by estimation of total testosterone, free androgen index (FAI) or bioavailable testosterone (BioT). The aim of this study was to compare the biological variability of total testosterone with that of the biological variability of both the FAI and BioT, to determine the least variable measurement for clinical practice. DESIGN: Comparative study. PATIENTS: Blood samples were collected after an overnight fast at 4-day intervals on 10 consecutive occasions from 12 PCOS patients and 11 weight- and age-matched control women. MEASUREMENTS: Duplicate samples of stored serum were analysed for total testosterone, SHBG and BioT in a single batch. RESULTS: The PCOS group had a significantly higher median BioT, FAI and total testosterone than controls. In both the PCOS and control groups, the intraindividual variance was small and similar for BioT and FAI. There was no significant difference between the within-subject biological coefficient of variation (CV(I)) for BioT, FAI and total testosterone. The maximum and minimum critical differences were +58% and -37% for BioT and +70% and -40% for FAI, respectively. CONCLUSION: FAI appears to be the better diagnostic marker to distinguish hyperandrogenism in patients with PCOS, but once diagnosis has been made, all three methods should be equally good in monitoring further changes in the androgen status.

Cardiovascular risk in women with polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women that has received an immense amount of attention in the recent years due to the possible associated risk of cardiovascular disease. Women with PCOS demonstrate an adverse cardiovascular profile characteristic of the cardiometabolic syndrome and an established risk of progression to type 2 diabetes. Despite the presence of cardiovascular risk factors and increased surrogate markers of cardiovascular disease, it is unclear if they develop accelerated atherosclerosis. This article summarized the recent development and findings of cardiovascular risk in women with PCOS, and finally the therapeutic options will be discussed.