Female sexual behavior is disrupted in a preclinical mouse model of PCOS via an attenuated hypothalamic nitric oxide pathway.
Mauro S B SilvaLaurine DecosterSara TrovaNour E H MimouniVirginia DelliKonstantina ChachlakiQiang YuUlrich BoehmVincent PrevotPaolo GiacobiniPublished in: Proceedings of the National Academy of Sciences of the United States of America (2022)
Women with polycystic ovary syndrome (PCOS) frequently experience decreased sexual arousal, desire, and sexual satisfaction. While the hypothalamus is known to regulate sexual behavior, the specific neuronal pathways affected in patients with PCOS are not known. To dissect the underlying neural circuitry, we capitalized on a robust preclinical animal model that reliably recapitulates all cardinal PCOS features. We discovered that female mice prenatally treated with anti-Müllerian hormone (PAMH) display impaired sexual behavior and sexual partner preference over the reproductive age. Blunted female sexual behavior was associated with increased sexual rejection and independent of sex steroid hormone status. Structurally, sexual dysfunction was associated with a substantial loss of neuronal nitric oxide synthase (nNOS)-expressing neurons in the ventromedial nucleus of the hypothalamus (VMH) and other areas of hypothalamic nuclei involved in social behaviors. Using in vivo chemogenetic manipulation, we show that nNOS VMH neurons are required for the display of normal sexual behavior in female mice and that pharmacological replenishment of nitric oxide restores normal sexual performance in PAMH mice. Our data provide a framework to investigate facets of hypothalamic nNOS neuron biology with implications for sexual disturbances in PCOS.
Keyphrases
- nitric oxide
- mental health
- nitric oxide synthase
- polycystic ovary syndrome
- mouse model
- stem cells
- hydrogen peroxide
- mesenchymal stem cells
- machine learning
- bone marrow
- hepatitis c virus
- skeletal muscle
- newly diagnosed
- men who have sex with men
- functional connectivity
- resting state
- wild type
- brain injury
- deep learning