5β-Reduced neuroactive steroids as modulators of growth and viability of postnatal neurons and glia.

Neurosteroids computational analysis high-content screening myelin basic protein neurite growth neuroactive steroids

Journal

The Journal of steroid biochemistry and molecular biology
ISSN: 1879-1220
Titre abrégé: J Steroid Biochem Mol Biol
Pays: England
ID NLM: 9015483

Informations de publication

Date de publication:
19 Jan 2024
Historique:
received: 29 09 2023
revised: 11 01 2024
accepted: 17 01 2024
medline: 22 1 2024
pubmed: 22 1 2024
entrez: 21 1 2024
Statut: aheadofprint

Résumé

Endogenous neurosteroids (NS) and their synthetic analogues, neuroactive steroids (NAS), are potentially useful drug-like compounds affecting the pathophysiology of miscellaneous central nervous system disorders (e.g. Alzheimer´s disease, epilepsy, depression, etc.). Additionally, NS have been shown to promote neuron viability and neurite outgrowth upon injury. The molecular, structural and physicochemical basis of the NS effect on neurons is so far not fully understood, and the development of new, biologically relevant assays is essential for their comparative analysis and for assessment of their mechanism of action. Here, we report the development of a novel, plate-based, high-content in vitro assay for screening of NS and newly synthesized, 5β-reduced NAS for the promotion of postnatal neuron survival and neurite growth using fluorescent, postnatal mixed cortical neuron cultures isolated from thy1-YFP transgenic mice. The screen allows a detailed time course analysis of different parameters, such as the number of neurons or neurite lengths of 7-day, in vitro neuron cultures. Using the screen, we identify a new NAS, compound 42, that promotes the survival and growth of postnatal neurons significantly better than several endogenous NS (dehydroepiandrosterone, progesterone, and allopregnanolone). Interestingly, we demonstrate that compound 42 also promotes the proliferation of glia (in particular oligodendrocytes) and that the glial function is critical for its neuron growth support. Computational analysis of the biological data and calculated physicochemical properties of tested NS and NAS demonstrated that their biological activity is proportional to their lipophilicity. Together, the screen proves useful for the selection of neuron-active NAS and the comparative evaluation of their biologically relevant structural and physicochemical features.

Identifiants

pubmed: 38246201
pii: S0960-0760(24)00012-8
doi: 10.1016/j.jsbmb.2024.106464
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106464

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Marie Munawar Cheema (MM)

Dpt. of Molecular Neurobiology, Institute of Physiology, Czech Academy of Sciences, Videnska 1083, 14220 Prague 4, Czech Republic.

Zuzana Macakova Kotrbova (ZM)

CZ-OPENSCREEN: National Infrastructure for Chemical Biology, Institute of Molecular Genetics, Czech Academy of Sciences, Videnska 1083, 14220 Prague 4, Czech Republic.

Barbora Hrcka Krausova (BH)

Dpt. of Cellular Neurophysiology, Institute of Physiology, Czech Academy of Sciences, Videnska 1083, 14220 Prague 4, Czech Republic.

Santosh Kumar Adla (SK)

Dept. of Neurosteroids, Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo namesti 2, 16610 Prague 6, Czech Republic.

Barbora Slavikova (B)

Dept. of Neurosteroids, Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo namesti 2, 16610 Prague 6, Czech Republic.

Hana Chodounska (H)

Dept. of Neurosteroids, Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo namesti 2, 16610 Prague 6, Czech Republic.

Miroslav Kratochvil (M)

Dept. of Bioinformatics, Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo namesti 2, 16610 Prague 6, Czech Republic.

Jiri Vondrasek (J)

Dept. of Bioinformatics, Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo namesti 2, 16610 Prague 6, Czech Republic.

David Sedlak (D)

CZ-OPENSCREEN: National Infrastructure for Chemical Biology, Institute of Molecular Genetics, Czech Academy of Sciences, Videnska 1083, 14220 Prague 4, Czech Republic.

Martin Balastik (M)

Dpt. of Molecular Neurobiology, Institute of Physiology, Czech Academy of Sciences, Videnska 1083, 14220 Prague 4, Czech Republic. Electronic address: martin.balastik@fgu.cas.cz.

Eva Kudova (E)

Dept. of Neurosteroids, Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo namesti 2, 16610 Prague 6, Czech Republic. Electronic address: kudova@uochb.cas.cz.

Classifications MeSH