Departments of Molecular and Integrative Physiology.
Computational Medicine and Bioinformatics.
J Neurosci. 2018 Jan 31;38(5):1249-1263. doi: 10.1523/JNEUROSCI.2988-17.2017. Epub 2017 Dec 20.
Gonadotropin-releasing hormone (GnRH) neurons produce the central output controlling fertility and are regulated by steroid feedback. A switch from estradiol negative to positive feedback initiates the GnRH surge, ultimately triggering ovulation. This occurs on a daily basis in ovariectomized, estradiol-treated (OVX+E) mice; GnRH neurons are suppressed in the morning and activated in the afternoon. To test the hypotheses that estradiol and time of day signals alter GnRH neuron responsiveness to stimuli, GFP-identified GnRH neurons in brain slices from OVX+E or OVX female mice were recorded during the morning or afternoon. No differences were observed in baseline membrane potential. Current-clamp revealed GnRH neurons fired more action potentials in response to current injection during positive feedback relative to all other groups, which were not different from each other despite reports of differing ionic conductances. Kisspeptin increased GnRH neuron response in cells from OVX and OVX+E mice in the morning but not afternoon. Paradoxically, excitability in kisspeptin knock-out mice was similar to the maximum observed in control mice but was unchanged by time of day or estradiol. A mathematical model applying a Markov Chain Monte Carlo method to estimate probability distributions for estradiol- and time of day-dependent parameters was used to predict intrinsic properties underlying excitability changes. A single identifiable distribution of solutions accounted for similar GnRH neuron excitability in all groups other than positive feedback despite different underlying conductance properties; this was attributable to interdependence of voltage-gated potassium channel properties. In contrast, redundant solutions may explain positive feedback, perhaps indicative of the importance of this state for species survival. Infertility affects 15%-20% of couples; failure to ovulate is a common cause. Understanding how the brain controls ovulation is critical for new developments in both infertility treatment and contraception. Gonadotropin-releasing hormone (GnRH) neurons are the final common pathway for central neural control of ovulation. We studied how estradiol feedback regulates GnRH excitability, a key determinant of neural firing rate using laboratory and computational approaches. GnRH excitability is upregulated during positive feedback, perhaps driving increased neural firing rate at this time. Kisspeptin increased GnRH excitability and was essential for estradiol regulation of excitability. Modeling predicts that multiple combinations of changes to GnRH intrinsic conductances can produce the firing response in positive feedback, suggesting the brain has many ways to induce ovulation.
促性腺激素释放激素 (GnRH) 神经元产生控制生育能力的中枢输出,并受类固醇反馈调节。从雌二醇负反馈到正反馈的转变启动 GnRH 激增,最终触发排卵。这在去卵巢、雌二醇处理 (OVX+E) 小鼠中每天发生;GnRH 神经元在早晨被抑制,在下午被激活。为了测试雌二醇和时间信号改变 GnRH 神经元对刺激反应性的假设,在 OVX+E 或 OVX 雌性小鼠的脑切片中记录 GFP 鉴定的 GnRH 神经元,在上午或下午进行记录。在基础膜电位方面没有观察到差异。电流钳记录显示,在正反馈期间,相对于所有其他组,GnRH 神经元对电流注入的反应产生更多动作电位,尽管离子电导率不同,但彼此之间没有差异。在上午,Kisspeptin 增加了来自 OVX 和 OVX+E 小鼠的 GnRH 神经元的反应,但在下午没有增加。矛盾的是,在 Kisspeptin 敲除小鼠中,兴奋性类似于对照小鼠中观察到的最大值,但不受时间或雌二醇的影响。应用马尔可夫链蒙特卡罗方法估计与雌二醇和时间相关的参数的概率分布的数学模型用于预测兴奋性变化的内在特性。尽管基础电导特性不同,但单个可识别的解决方案分布解释了所有组的类似 GnRH 神经元兴奋性,而不是正反馈;这归因于电压门控钾通道特性的相互依赖性。相比之下,冗余解决方案可能解释了正反馈,这也许表明这种状态对物种生存的重要性。不孕影响 15%-20%的夫妇;不排卵是常见的原因。了解大脑如何控制排卵对于不孕治疗和避孕的新发展至关重要。促性腺激素释放激素 (GnRH) 神经元是排卵的中枢神经控制的最终共同途径。我们使用实验室和计算方法研究了雌二醇反馈如何调节 GnRH 兴奋性,这是神经放电率的关键决定因素。在正反馈期间,GnRH 兴奋性上调,可能在此期间驱动神经放电率增加。Kisspeptin 增加了 GnRH 兴奋性,并且是雌二醇调节兴奋性所必需的。建模预测,GnRH 内在电导的多种组合变化可以产生正反馈中的放电反应,这表明大脑有多种方法可以诱导排卵。