scholarly journals Long-Lasting Androgen-Induced Cardiometabolic Effects in Polycystic Ovary Syndrome

2018 ◽  
Vol 2 (8) ◽  
pp. 949-964 ◽  
Author(s):  
Edgar D Torres Fernandez ◽  
Kristen V Adams ◽  
Maryam Syed ◽  
Rodrigo O Maranon ◽  
Damian G Romero ◽  
...  

Abstract Polycystic ovary syndrome (PCOS), the most common endocrine disorder in women of reproductive age, is characterized by androgen excess and ovarian dysfunction and presents with increased cardiometabolic risk factors such as obesity, insulin resistance, and elevated blood pressure (BP). We previously reported that administration of dihydrotestosterone (DHT) to female rats elicits cardiometabolic derangements similar to those found in women with PCOS. In this study, we tested the hypothesis that the DHT-mediated cardiometabolic derangements observed in PCOS are long lasting despite DHT withdrawal. Four-week-old female Sprague Dawley rats were treated with DHT (7.5 mg/90 days) or placebo for 6 months. DHT was discontinued (ex-DHT), and rats were followed for 6 additional months. After 6 months of DHT withdrawal, food intake, body weight, fat and lean mass, fasting plasma insulin, leptin, and adiponectin were elevated in ex-DHT rats. BP remained significantly elevated, and enalapril, an angiotensin-converting enzyme (ACE) inhibitor, normalized BP in ex-DHT rats. Expression of components of the intrarenal renin-angiotensin system was increased in ex-DHT rats. The cardiometabolic features found in ex-DHT rats were associated with lower plasma androgen levels but increased expression of renal and adipose tissue androgen receptors. In summary, androgen-induced cardiometabolic effects persisted after DHT withdrawal in a PCOS experimental model. Activation of intrarenal renin-angiotensin system plays a major role in the androgen-mediated increase in BP in ex-DHT. Upregulation of the renal and adipose tissue androgen receptor may explain the long-lasting effects of androgens. In clinical scenarios characterized by hyperandrogenemia in women, prompt normalization of androgen levels may be necessary to prevent their long-lasting cardiometabolic effects.

2020 ◽  
Vol 7 ◽  
pp. 100052
Author(s):  
Abu Saleh Md Moin ◽  
Thozhukat Sathyapalan ◽  
Stephen L. Atkin ◽  
Alexandra E. Butler

2020 ◽  
Vol 34 (S1) ◽  
pp. 1-1
Author(s):  
Stephanie A. Ye ◽  
Steven Everman ◽  
Edgar D. Torres Fernandez ◽  
Damian G. Romero ◽  
Licy L. Yanes Cardozo

Author(s):  
Soulmaz Shorakae ◽  
Eveline Jona ◽  
Courten Barbora de ◽  
Gavin Lambert ◽  
Elisabeth Lambert ◽  
...  

2017 ◽  
Vol 24 (9) ◽  
Author(s):  
Thaisa Soares Crespo ◽  
Joao Marcus Oliveira Andrade ◽  
Alanna Fernandes Paraiso ◽  
Deborah de Farias Lelis ◽  
Pablo Vinicyus Ferreira Chagas ◽  
...  

2018 ◽  
Vol 14 (3) ◽  
pp. 203-209
Author(s):  
Jamille Fernandes Lula ◽  
Toni Ramos Alves de Souza ◽  
Keila Lopes Mendes ◽  
Alanna Fernandes Paraíso ◽  
Deborah de Farias Lelis ◽  
...  

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2494
Author(s):  
Małgorzata Kałużna ◽  
Magdalena Czlapka-Matyasik ◽  
Aleksandra Bykowska-Derda ◽  
Jerzy Moczko ◽  
Marek Ruchala ◽  
...  

Visceral adipose tissue (VAT) accumulation, is a part of a polycystic ovary syndrome (PCOS) phenotype. Dual-energy x-ray absorptiometry (DXA) provides a gold standard measurement of VAT. This study aimed to compare ten different indirect methods of VAT estimation in PCOS women. The study included 154 PCOS and 68 age- and BMI-matched control women. Subjects were divided into age groups: 18–30 y.o. and 30–40 y.o. Analysis included: body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), waist/height 0.5 (WHT.5R), visceral adipose index (VAI), lipid accumulation product (LAP), and fat mass index (FMI). VAT accumulation, android-to-gynoid ratio (A/G), and total body fat (TBF) was measured by DXA. ROC analysis revealed that WHtR, WHT.5R, WC, BMI, and LAP demonstrated the highest predictive value in identifying VAT in the PCOS group. Lower cut-off values of BMI (23.43 kg/m2) and WHtR (0.45) were determined in the younger PCOS group and higher thresholds of WHtR (0.52) in the older PCOS group than commonly used. Measuring either: WHtR, WHT.5R, WC, BMI, or LAP, could help identify a subgroup of PCOS patients at high cardiometabolic risk. The current observations reinforce the importance of using special cut-offs to identify VAT, dependent on age and PCOS presence.


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