The amygdala, a key upstream regulator of the hypothalamic GnRH pulse generator

Lead Research Organisation: UNIVERSITY OF EXETER
Department Name: Mathematics

Abstract

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Technical Summary

The GnRH pulse generator, the central regulator of the reproduction, comprises KNDy neurones in the hypothalamic arcuate nucleus. Stress suppresses this KNDy neural oscillator, but the underlying mechanisms are not well established. This project will focus on the amygdala, a part of the limbic brain typically associated with emotions and anxiety, which has strong projections to the KNDy system. Our discovery that kisspeptin signalling in the amygdala is an upstream regulator of GnRH pulse generator frequency, has facilitated the recent surge of interest in the amygdala's control of reproduction. We have shown in preliminary studies that amygdala kisspeptin operates through GABAergic signalling and that psychological stress-induced suppression of GnRH pulse generator is mediated by urocortin 3 in the amygdala. Recent developments in intersectional genetically encoded tools have enabled independent manipulation of a least two variables (eg. using Cre- or Flp-dependent constructs) in the same mouse. Capitalising these tools, this project will use simultaneous in-vivo optogenetic manipulation and gradient-index (GRIN) lens microendoscopic monitoring of GCaMP-expressing neurones in combination with mathematical modelling to, (i) examine the functional relationship between kisspeptin, GABA and glutamate neurocircuitry within the amygdala that underlies upstream regulation of hypothalamic GnRH pulse generator frequency, (ii) interrogate how the KNDy oscillator integrates the dynamic tone of inhibitory GABAergic and stimulatory glutamatergic output projections from the amygdala to regulate its rhythmic frequency, and (iii) determine how stress activated urocortin 3 neurones regulate the kisspeptin-GABA/glutamate neurocircuits in the amygdala to suppress GnRH pulse generator frequency. These studies will improve our understanding of how the higher-order limbic brain regulates the hypothalamic GnRH pulse generator that contributes to stress-dependent suppression of fertility.
 
Description LEAP (Leadership Engagement Acceleration & Partnership) - an EPSRC Digital Health Hub
Amount £3,290,617 (GBP)
Funding ID EP/X031349/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 09/2023 
End 09/2026
 
Description Lorentz Center workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Uncertainty Quantification for Healthcare and Biological Systems Monday 17 till Friday 21 April 2023 Lorentz Center@Snellius The Netherlands
Computer models of biological systems have proven to be useful in underpinning complex diseases with the potential to support clinical decisions from designing the personalised healthcare solutions for patients with deliberating health problems to performing in silico clinical trials. However, incorporating computer models into the clinical settings must be done in a robust, transparent and formalised way with a proper consideration of the various sources of uncertainty. Uncertainty Quantification is a field that focuses around quantifying and taking account of uncertainties for mathematical and computer models that describe real-world processes with engineering and physical models being well represented in the field. Healthcare and biological systems models differ significantly from the complex computer models traditionally considered in UQ, and therefore quantifying the uncertainty in healthcare models can pose very different challenges. The aim of this workshop is to identify UQ challenges for mechanistic healthcare models by bringing applied mathematicians, statisticians and healthcare modelers together.
Year(s) Of Engagement Activity 2023
URL https://www.lorentzcenter.nl/uncertainty-quantification-for-healthcare-and-biological-systems.html