Search Results

You are looking at 1 - 5 of 5 items for

  • Author: Carla Pelusi x
  • All content x
Clear All Modify Search
Restricted access

Marco Mezzullo, Guido Di Dalmazi, Alessia Fazzini, Margherita Baccini, Andrea Repaci, Alessandra Gambineri, Valentina Vicennati, Carla Pelusi, Uberto Pagotto, and Flaminia Fanelli

Objective

To evaluate the independent impact of age, obesity and metabolic risk factors on 13 circulating steroid levels; to generate reference intervals for adult men.

Design

Cross-sectional study.

Methods

Three hundred and fifteen adults, drug-free and apparently healthy men underwent clinical and biochemical evaluation. Thirteen steroids were measured by LC-MS/MS and compared among men with increasing BMI. Moreover, the independent impact of age, BMI and metabolic parameters on steroid levels was estimated. Upper and lower reference limits were generated in steroid-specific reference sub-cohorts and compared with dysmetabolic sub-cohorts.

Results

We observed lower steroid precursors and testosterone and increase in estrone levels in men with higher BMI ranges. By multivariate analysis, 17-hydroxyprogesterone and dihydrotestosterone decreased with BMI, while cortisol decreased with waist circumference. Estrone increased with BMI and systolic blood pressure. Testosterone decreased with worsening insulin resistance. 17-hydroxypregnenolone and corticosterone decreased with increasing total/HDL-cholesterol ratio. Age-related reference intervals were estimated for 17-hydroxypregnenolone, DHEA, 17-hydroxyprogesterone, corticosterone, 11-deoxycortisol, cortisol and androstenedione, while age-independent reference intervals were estimated for progesterone, 11-deoxycorticosterone, testosterone, dihydrotestosterone, estrone and estradiol. Testosterone lower limit was 2.29 nmol/L lower (P = 0.007) in insulin resistant vs insulin sensitive men. Furthermore, the upper limits for dihydrotestosterone (−0.34 nmol/L, P = 0.045), cortisol (−87 nmol/L, P = 0.045–0.002) and corticosterone (−10.1 nmol/L, P = 0.048–0.016) were lower in overweight/obese, in abdominal obese and in dyslipidaemic subjects compared to reference sub-cohorts, respectively.

Conclusions

Obesity and mild unmedicated metabolic risk factors alter the circulating steroid profile and bias the estimation of reference limits for testosterone, dihydrotestosterone, cortisol and corticosterone. Applying age-dependent reference intervals is mandatory for steroid precursors and corticosteroids.

Free access

Marco Mezzullo, Guido Di Dalmazi, Alessia Fazzini, Margherita Baccini, Andrea Repaci, Alessandra Gambineri, Valentina Vicennati, Carla Pelusi, Uberto Pagotto, and Flaminia Fanelli

Restricted access

Marco Mezzullo, Alessandra Gambineri, Guido Di Dalmazi, Alessia Fazzini, Matteo Magagnoli, Margherita Baccini, Valentina Vicennati, Carla Pelusi, Uberto Pagotto, and Flaminia Fanelli

Objective

To investigate the impact of age, obesity and metabolic parameters on 13 circulating steroids in reproductive and menopausal age. To define reference intervals (RIs).

Design

Cross-sectional.

Methods

Three hundred and twenty five drug-free, healthy and eumenorrheic women were selected from the general population. Independent relationships of LC-MS/MS-determined steroid levels with age, BMI and metabolic parameters were estimated. Reference sub-cohorts were defined for calculating upper and lower limits in reproductive age, menstrual phases and menopause, and these were compared with limits in dysmetabolic sub-cohorts.

Results

Lower androgens, pro-androgens and estrogens, but higher cortisol and metabolites were found in menopausal compared to reproductive age women. Androgens and precursors decreased during reproductive age (P < 0.001–P = 0.002) but not after menopause. 17OH-progesterone decreased with BMI (P = 0.006) and glucocorticoids with waist circumference (P < 0.001P = 0.002) in reproductive age, but increased with triglycerides (P=0.011P=0.038) after menopause. Inverse associations of dihydrotestosterone with BMI (P=0.004) and HDL-cholesterol (P=0.010), estrone with total cholesterol (P=0.033) and estradiol with triglycerides (P=0.011) were found in reproductive age. After menopause, estrone increased with waist circumference (P<0.001) and decreased with insulin resistance (P=0.012). Ovarian steroid RIs were estimated in menstrual phases and menopause. Age- and reproductive status-specific RIs were generated for androgens, precursors and corticosteroids. Lower limits for reproductive age cortisol (P=0.020) and menopausal 11-deoxycortisol (P=0.003) in dysmetabolic sub-cohorts were reduced and increased, respectively, compared to reference limits.

Conclusions

Obesity and dysmetabolism differently influence circulating steroids in reproductive and menopausal status. Age, menstrual and menopausal status-specific RIs were provided by LC-MS/MS for a broad steroid panel.

Free access

Alessandra Gambineri, Valentina Vicennati, Guido Di Dalmazi, Carla Pelusi, Paola Altieri, Flaminia Fanelli, Andrea Repaci, Silvia Garelli, Danilo Ribichini, and Uberto Pagotto

Restricted access

Srdjan Pandurevic, Luca Bergamaschi, Carmine Pizzi, Laura Patton, Paola Rucci, Francesca Corzani, Carolina Cecchetti, Carla Pelusi, Paola Altieri, Valentina Vicennati, Guido Di Dalmazi, Flaminia Fanelli, Djuro Macut, Uberto Pagotto, and Alessandra Gambineri

Objective

Research into cardiovascular disease (CV) prevention has demonstrated a variety of ultrasound (US) markers predicting risk in the general population but which have been scarcely used for polycystic ovary syndrome (PCOS). Obesity is a major factor contributing to CV disease in the general population, and it is highly prevalent in PCOS. However, it is still unclear how much risk is attributable to hyperandrogenism. This study evaluates the most promising US CV risk markers in PCOS and compares them between different PCOS phenotypes and BMI values.

Design

Women fulfilling the Rotterdam criteria for PCOS were recruited from our outpatient clinic for this cross-sectional study.

Methods

Participants (n = 102) aged 38.9 ± 7.4 years were stratified into the four PCOS phenotypes and the three BMI classes (normal-weight, overweight, obese). They were assessed for clinical and biochemical parameters together with the following US markers: coronary intima-media thickness (cIMT), flow-mediated vascular dilation (FMD), nitroglycerine-induced dilation (NTG), and epicardial fat thickness (EFT).

Results

There was no statistical difference among the four phenotypes in terms of cIMT, FMD, NTG or EFT, however all the US parameters except NTG showed significant differences among the three BMI classes. Adjusting for confounding factors in multiple regression analyses, EFT retained the greatest direct correlation with BMI and cIMT remained directly correlated but to a lesser degree.

Conclusions

This study showed that obesity rather than the hyperandrogenic phenotype negatively impacts precocious US CV risk markers in PCOS. In addition, EFT showed the strongest association with BMI, highlighting its potential for estimating CV risk in PCOS.