Modulation of pulsatile GnRH dynamics across the ovarian cycle via changes in the network excitability and basal activity of the arcuate kisspeptin network.


Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
17 11 2021
Historique:
received: 13 06 2021
accepted: 16 11 2021
pubmed: 18 11 2021
medline: 22 1 2022
entrez: 17 11 2021
Statut: epublish

Résumé

Pulsatile GnRH release is essential for normal reproductive function. Kisspeptin secreting neurons found in the arcuate nucleus, known as KNDy neurons for co-expressing neurokinin B, and dynorphin, drive pulsatile GnRH release. Furthermore, gonadal steroids regulate GnRH pulsatile dynamics across the ovarian cycle by altering KNDy neurons' signalling properties. However, the precise mechanism of regulation remains mostly unknown. To better understand these mechanisms, we start by perturbing the KNDy system at different stages of the estrous cycle using optogenetics. We find that optogenetic stimulation of KNDy neurons stimulates pulsatile GnRH/LH secretion in estrous mice but inhibits it in diestrous mice. These in vivo results in combination with mathematical modelling suggest that the transition between estrus and diestrus is underpinned by well-orchestrated changes in neuropeptide signalling and in the excitability of the KNDy population controlled via glutamate signalling. Guided by model predictions, we show that blocking glutamate signalling in diestrous animals inhibits LH pulses, and that optic stimulation of the KNDy population mitigates this inhibition. In estrous mice, disruption of glutamate signalling inhibits pulses generated via sustained low-frequency optic stimulation of the KNDy population, supporting the idea that the level of network excitability is critical for pulse generation. Our results reconcile previous puzzling findings regarding the estradiol-dependent effect that several neuromodulators have on the GnRH pulse generator dynamics. Therefore, we anticipate our model to be a cornerstone for a more quantitative understanding of the pathways via which gonadal steroids regulate GnRH pulse generator dynamics. Finally, our results could inform useful repurposing of drugs targeting the glutamate system in reproductive therapy.

Identifiants

pubmed: 34787076
doi: 10.7554/eLife.71252
pii: 71252
pmc: PMC8651288
doi:
pii:

Substances chimiques

Kisspeptins 0
Gonadotropin-Releasing Hormone 33515-09-2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/S000550/1
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/S001255/1
Pays : United Kingdom

Informations de copyright

© 2021, Voliotis et al.

Déclaration de conflit d'intérêts

MV, XL, RD, GL, DI, CM, KO, KT No competing interests declared

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Auteurs

Margaritis Voliotis (M)

Department of Mathematics and Living Systems Institute, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom.

Xiao Feng Li (XF)

Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom.

Ross Alexander De Burgh (RA)

Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom.

Geffen Lass (G)

Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom.

Deyana Ivanova (D)

Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom.

Caitlin McIntyre (C)

Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom.

Kevin O'Byrne (K)

Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom.

Krasimira Tsaneva-Atanasova (K)

Department of Mathematics and Living Systems Institute, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom.

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Classifications MeSH