Substrate-selective positive allosteric modulation of PTPRD's phosphatase by flavonols.


Journal

Biochemical pharmacology
ISSN: 1873-2968
Titre abrégé: Biochem Pharmacol
Pays: England
ID NLM: 0101032

Informations de publication

Date de publication:
08 2022
Historique:
received: 12 03 2022
revised: 23 05 2022
accepted: 23 05 2022
pubmed: 1 6 2022
medline: 15 7 2022
entrez: 31 5 2022
Statut: ppublish

Résumé

The receptor type protein tyrosine phosphatase D (PTPRD) is expressed by neurons and implicated in interesting phenotypes that include reward from addictive substances, restless leg syndrome and neurofibrillary tangle densities in Alzheimer's disease (AD-NFTs). However, the brain phosphotyrosine phosphoprotein (PTPP) substrates for PTPRD's phosphatase have not been clearly defined. Although we have identified small molecule inhibitors of PTPRD's phosphatase that are candidates for reducing reward from addictive substances, no positive allosteric modulators of this phosphatase that might be candidates for reducing AD-NFTs have been reported. We now report identification of candidate brain substrates for PTPRD based on their increased phosphorylation in knockout vs wildtype animals, coexpression with PTPRD in neuronal subtypes and brisk dephosphorylation by recombinant human PTPRD phosphatase. We also report discovery that quercetin and other flavonols, though not closely-related flavones, enhance rates of PTPRD's dephosphorylation of a group of these candidate substrate PTPPs but not others. This substrate-selective positive allosteric modulation provides a novel pharmacological action. Flavonol-mediated increases in PTPRD's dephosphorylation of the GSK3 β and α kinases that hyperphosphorylate tau, the major component of AD-NFTs, could help to explain recent data concerning genetic and dietary impacts on Alzheimer's disease.

Identifiants

pubmed: 35636503
pii: S0006-2952(22)00203-9
doi: 10.1016/j.bcp.2022.115109
pmc: PMC10184881
mid: NIHMS1815891
pii:
doi:

Substances chimiques

Flavonols 0
tau Proteins 0
Glycogen Synthase Kinase 3 EC 2.7.11.26
Phosphoric Monoester Hydrolases EC 3.1.3.2
PTPRD protein, human EC 3.1.3.48
Receptor-Like Protein Tyrosine Phosphatases, Class 2 EC 3.1.3.48

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

115109

Subventions

Organisme : NIDA NIH HHS
ID : U01 DA047713
Pays : United States
Organisme : NIDA NIH HHS
ID : UG3 DA056039
Pays : United States

Informations de copyright

Published by Elsevier Inc.

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Auteurs

Ian M Henderson (IM)

Biomedical Research Institute of New Mexico, Albuquerque, NM 87108, United States; New Mexico VA Healthcare System, Albuquerque, NM 87108, United States.

Carlissa Marez (C)

Biomedical Research Institute of New Mexico, Albuquerque, NM 87108, United States; New Mexico VA Healthcare System, Albuquerque, NM 87108, United States.

Karol Dokladny (K)

Department of Medicine, University of New Mexico, Albuquerque, NM 87131, United States.

Jane Smoake (J)

Biomedical Research Institute of New Mexico, Albuquerque, NM 87108, United States; New Mexico VA Healthcare System, Albuquerque, NM 87108, United States.

Maria Martinez (M)

Biomedical Research Institute of New Mexico, Albuquerque, NM 87108, United States; New Mexico VA Healthcare System, Albuquerque, NM 87108, United States.

David Johnson (D)

College of Pharmacy, University of Kansas, Lawrence, KS 66045, United States.

George R Uhl (GR)

Biomedical Research Institute of New Mexico, Albuquerque, NM 87108, United States; New Mexico VA Healthcare System, Albuquerque, NM 87108, United States; Departments of Neurology, Neuroscience and Molecular Genetics and Microbiology, University of New Mexico, Albuquerque, NM 87131, United States; Departments of Neurology and Pharmacology, University of Maryland School of Medicine, Baltimore, MD 21201, United States; Maryland VA Healthcare System, Baltimore, MD 21201, United States. Electronic address: George.Uhl@va.gov.

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Classifications MeSH