Neuronal Ptpn1 and Socs3 deletion improves metabolism but not anovulation in a mouse polycystic ovary syndrome model.
J Endocrinol
; 259(1)2023 09 01.
Article
em En
| MEDLINE
| ID: mdl-37466473
Polycystic ovary syndrome (PCOS) is one of the most common causes of infertility in women. Approximately half of the diagnosed individuals also experience the metabolic syndrome. Central and peripheral resistance to the hormones insulin and leptin have been reported to contribute to both metabolic and reproductive dysregulation. In PCOS and preclinical PCOS animal models, circulating insulin and leptin levels are often increased in parallel with the development of hormone resistance; however, it remains uncertain whether these changes contribute to the PCOS state. In this study, we tested whether central actions of protein tyrosine phosphatase 1B (PTP1B) and suppressor of cytokine signaling 3 (SOCS3), negative regulators of insulin and leptin signaling pathways, respectively, play a role in the development of PCOS-like phenotype. A peripubertal dihydrotestosterone (DHT) excess PCOS-like mouse model was used, which exhibits both metabolic and reproductive dysfunction. Mice with knockout of the genes encoding PTP1B and SOCS3 from forebrain neurons were generated, and metabolic and reproductive functions were compared between knockout and control groups. DHT treatment induced mild insulin resistance but not leptin resistance, so the role of SOCS3 could not be tested. As expected, DHT excess abolished estrous cycles and corpora lutea presence and caused increased visceral adiposity and fasting glucose levels. Knockout mice did not show any rescue of reproductive dysfunction but did have reduced adiposity compared to the control DHT mice. These data suggest that negative regulation of central insulin signaling by PTP1B is not responsible for peripubertal DHT excess-induced reproductive impairments but may mediate its increased adiposity effects.
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Base de dados:
MEDLINE
Assunto principal:
Síndrome do Ovário Policístico
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article