mGluR5 PAMs rescue cortical and behavioural defects in a mouse model of CDKL5 deficiency disorder.


Journal

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
ISSN: 1740-634X
Titre abrégé: Neuropsychopharmacology
Pays: England
ID NLM: 8904907

Informations de publication

Date de publication:
05 2023
Historique:
received: 04 02 2022
accepted: 19 07 2022
revised: 04 07 2022
medline: 5 5 2023
pubmed: 10 8 2022
entrez: 9 8 2022
Statut: ppublish

Résumé

Cyclin-dependent kinase-like 5 (CDKL5) deficiency disorder (CDD) is a devastating rare neurodevelopmental disease without a cure, caused by mutations of the serine/threonine kinase CDKL5 highly expressed in the forebrain. CDD is characterized by early-onset seizures, severe intellectual disabilities, autistic-like traits, sensorimotor and cortical visual impairments (CVI). The lack of an effective therapeutic strategy for CDD urgently demands the identification of novel druggable targets potentially relevant for CDD pathophysiology. To this aim, we studied Class I metabotropic glutamate receptors 5 (mGluR5) because of their important role in the neuropathological signs produced by the lack of CDKL5 in-vivo, such as defective synaptogenesis, dendritic spines formation/maturation, synaptic transmission and plasticity. Importantly, mGluR5 function strictly depends on the correct expression of the postsynaptic protein Homer1bc that we previously found atypical in the cerebral cortex of Cdkl5

Identifiants

pubmed: 35945276
doi: 10.1038/s41386-022-01412-3
pii: 10.1038/s41386-022-01412-3
pmc: PMC10156697
mid: EMS151224
doi:

Substances chimiques

CDKL5 protein, mouse EC 2.7.11.22
Protein Serine-Threonine Kinases EC 2.7.11.1

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

877-886

Informations de copyright

© 2022. The Author(s), under exclusive licence to American College of Neuropsychopharmacology.

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Auteurs

Antonia Gurgone (A)

"Rita Levi-Montalcini" Department of Neuroscience, University of Turin, Turin, Italy.

Riccardo Pizzo (R)

"Rita Levi-Montalcini" Department of Neuroscience, University of Turin, Turin, Italy.

Alessandra Raspanti (A)

"Rita Levi-Montalcini" Department of Neuroscience, University of Turin, Turin, Italy.

Giuseppe Chiantia (G)

"Rita Levi-Montalcini" Department of Neuroscience, University of Turin, Turin, Italy.

Sunaina Devi (S)

"Rita Levi-Montalcini" Department of Neuroscience, University of Turin, Turin, Italy.

Debora Comai (D)

"Rita Levi-Montalcini" Department of Neuroscience, University of Turin, Turin, Italy.

Noemi Morello (N)

"Rita Levi-Montalcini" Department of Neuroscience, University of Turin, Turin, Italy.

Federica Pilotto (F)

"Rita Levi-Montalcini" Department of Neuroscience, University of Turin, Turin, Italy.

Sara Gnavi (S)

"Rita Levi-Montalcini" Department of Neuroscience, University of Turin, Turin, Italy.

Leonardo Lupori (L)

BIO@SNS lab, Scuola Normale Superiore, 56124, Pisa, Italy.

Raffaele Mazziotti (R)

Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128, Pisa, Italy.

Giulia Sagona (G)

NEUROFARBA, Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, 50135, Florence, Italy.

Elena Putignano (E)

Institute of Neuroscience, CNR, 56124, Pisa, Italy.

Alessio Nocentini (A)

NEUROFARBA Department, Section of Pharmaceutical and Nutraceutical Sciences, University of Florence, 50019, Sesto Fiorentino, Florence, Italy.

Claudiu T Supuran (CT)

NEUROFARBA Department, Section of Pharmaceutical and Nutraceutical Sciences, University of Florence, 50019, Sesto Fiorentino, Florence, Italy.

Andrea Marcantoni (A)

Department of Drug Science, University of Turin, Turin, Italy.

Tommaso Pizzorusso (T)

BIO@SNS lab, Scuola Normale Superiore, 56124, Pisa, Italy.
Institute of Neuroscience, CNR, 56124, Pisa, Italy.

Maurizio Giustetto (M)

"Rita Levi-Montalcini" Department of Neuroscience, University of Turin, Turin, Italy. maurizio.giustetto@unito.it.

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Classifications MeSH