Eye Drop Instillation of the Rac1 Modulator CNF1 Attenuates Retinal Gliosis and Ameliorates Visual Performance in a Rat Model of Hypertensive Retinopathy.


Journal

Neuroscience
ISSN: 1873-7544
Titre abrégé: Neuroscience
Pays: United States
ID NLM: 7605074

Informations de publication

Date de publication:
15 07 2019
Historique:
received: 11 02 2019
revised: 08 05 2019
accepted: 09 05 2019
pubmed: 28 5 2019
medline: 6 2 2020
entrez: 26 5 2019
Statut: ppublish

Résumé

In hypertensive retinopathy, the retinal damage due to high blood pressure is accompanied by increased expression of Glial Fibrillary Acidic Protein (GFAP), which indicates a role of neuroinflammatory processes in such a retinopathy. Proteins belonging to the Rho GTPase family, particularly Rac1, are involved in the activation of Müller glia and in the progression of photoreceptor degeneration, and may thus represent a novel candidate for therapeutic intervention following central nervous system inflammation. In this paper, we have observed that topical administration as eye drops of Cytotoxic Necrotizing Factor 1 (CNF1), a Rho GTPase modulator, surprisingly improves electrophysiological and behavioral visual performances in aged spontaneously hypertensive rats. Furthermore, such functional improvement is accompanied by a reduction of Rac1 activity and retinal GFAP expression. Our results suggest that Rac1 inhibition through CNF1 topical administration may represent a new strategy to target retinal gliosis.

Identifiants

pubmed: 31128161
pii: S0306-4522(19)30344-6
doi: 10.1016/j.neuroscience.2019.05.021
pii:
doi:

Substances chimiques

Bacterial Toxins 0
Escherichia coli Proteins 0
Ophthalmic Solutions 0
cytotoxic necrotizing factor type 1 106803-33-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

119-129

Informations de copyright

Copyright © 2019 IBRO. Published by Elsevier Ltd. All rights reserved.

Auteurs

Andrea Matteucci (A)

National Center for Drug Research and Evaluation, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.

Laura Ricceri (L)

Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.

Alessia Fabbri (A)

Italian Center for Global Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.

Andrea Fortuna (A)

Italian Center for Global Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.

Sara Travaglione (S)

Italian Center for Global Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.

Marco Guidotti (M)

Department of Veterinary Public Health and Food Safety, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.

Andrea Martinelli (A)

National Centre for Animal Research and Welfare, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.

Marika Villa (M)

Department of Cardiovascular, Dysmetabolic and Endocrine-Metabolic Diseases, and Ageing, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.

Flavia Pricci (F)

Department of Cardiovascular, Dysmetabolic and Endocrine-Metabolic Diseases, and Ageing, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.

Zaira Maroccia (Z)

Italian Center for Global Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.

Gabriele Campana (G)

Department of Pharmacy and Biotechnology, University of Bologna, Via Zamboni, 33, Bologna, Italy.

Fiorella Malchiodi-Albedi (F)

Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.

Carla Fiorentini (C)

Italian Center for Global Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy; Association for Research on Integrative Oncology Therapies (ARTOI), Rome, Italy.

Stefano Loizzo (S)

Italian Center for Global Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Rome, Italy. Electronic address: stefano.loizzo@iss.it.

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Classifications MeSH