Triazolo[4,5-d]pyrimidin-5-amines based ERK3 inhibitors fail to demonstrate selective effects on adipocyte function.

Adipocytes ERK3 Inhibitors MAPK6 Metabolism Triazolo[4,5-d]pyrimidin-5-amines

Journal

Archives of biochemistry and biophysics
ISSN: 1096-0384
Titre abrégé: Arch Biochem Biophys
Pays: United States
ID NLM: 0372430

Informations de publication

Date de publication:
20 Nov 2023
Historique:
received: 25 07 2023
revised: 24 10 2023
accepted: 17 11 2023
pubmed: 23 11 2023
medline: 23 11 2023
entrez: 22 11 2023
Statut: aheadofprint

Résumé

Extracellular signal-regulated kinase 3 (ERK3 also designated MAPK6 - mitogen-activated protein kinase 6) is a ubiquitously expressed kinase participating in the regulation of a broad spectrum of physiological and pathological processes. Targeted inhibition of the kinase may allow the development of novel treatment strategies for a variety of types of cancer and somatic pathologies, as well as preserving metabolic health, combat obesity and diabetes. We chose and synthesized three triazolo [4,5-d]pyrimidin-5-amines proposed previously as putative ERK3 inhibitors to assess their selectivity and biological effects in terms of metabolic state impact in living cells. As it was previously shown that ERK3 is a major regulator of lipolysis in adipocytes, we focused on this process. Our new results indicate that in addition to the previously identified lipolytic enzyme ATGL, ERK3 also regulates hormone-sensitive lipase (HSL) and monoglyceride lipase (MGL). Moreover, this kinase also promotes the abundance of fatty acid synthase (FASN) as well as protein kinase cAMP-activated catalytic subunit alpha (PKACα). To investigate various effects of putative ERK3 inhibitors on lipolysis, we utilized different adipocyte models. We demonstrated that molecules exhibit lipolysis-modulating effects; however, the effects of triazolo [4,5-d]pyrimidin-5-amines based inhibitors on lipolysis are not dependent on ERK3. Subsequently, we revealed a wide range of the compounds' possible targets using a machine learning-based prediction. Therefore, the tested compounds inhibit ERK3 in vitro, but the biological effect of this inhibition is significantly overlapped and modified by some other molecular events related to the non-selective binding to other targets.

Identifiants

pubmed: 37992885
pii: S0003-9861(23)00324-7
doi: 10.1016/j.abb.2023.109825
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109825

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors have declared that no conflict of interest exists.

Auteurs

Andrei Belykh (A)

Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland.

Izabela Hawro (I)

Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland.

Katarzyna Kolczyńska-Matysiak (K)

Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland.

Angel Loza-Valdes (A)

Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland.

Adam Mieczkowski (A)

Institute of Biochemistry and Biophysics, Polish Academy of Sciences, 5a Pawinskiego, 02-106 Warsaw, Poland.

Grzegorz Sumara (G)

Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland. Electronic address: g.sumara@nencki.edu.pl.

Classifications MeSH