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Data on synthesis, ADME and pharmacological properties and early safety pharmacology evaluation of a series of novel NURR1/NOT agonist potentially useful for the treatment of Parkinson's disease.

ABSTRACT: This article describes the chemical synthesis, ADME and pharmacological properties and early safety pharmacology evaluation of a series of novel Nurr1/NOT agonist. It is meant as a support to an article recently published in Bioorganic and Medicinal chemistry Letters and entitled "Development of a novel NURR1/NOT agonist from hit to lead and candidate for the potential treatment of Parkinson's disease" [1] and presenting the discovery, scope and potential of these new ligands of these nuclear receptors.

SUBMITTER: Malanda A

PROVIDER: S-EPMC6820105 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Data on synthesis, ADME and pharmacological properties and early safety pharmacology evaluation of a series of novel NURR1/NOT agonist potentially useful for the treatment of Parkinson's disease.

Malanda André A Abécassis Pierre-Yves PY Barnéoud Pascal P Brunel Pascale P Taupin Véronique V Vigé Xavier X Lesuisse Dominique D

Data in brief 20190527

This article describes the chemical synthesis, ADME and pharmacological properties and early safety pharmacology evaluation of a series of novel Nurr1/NOT agonist. It is meant as a support to an article recently published in Bioorganic and Medicinal chemistry Letters and entitled "Development of a novel NURR1/NOT agonist from hit to lead and candidate for the potential treatment of Parkinson's disease" [1] and presenting the discovery, scope and potential of these new ligands of these nuclear re ...[more]

PMID: 31687426

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Project description:Background: Dianbaizhu (Gaultheria leucocarpa var. yunnanensis), a traditional Chinese/ethnic medicine (TC/EM), has been used to treat rheumatoid arthritis (RA) for a long time. The anti-rheumatic arthritis fraction (ARF) of G. yunnanensis has significant anti-inflammatory and analgesic activities and is mainly composed of methyl salicylate glycosides, flavonoids, organic acids, and others. The effective ingredients and rudimentary mechanism of ARF remedying RA have not been elucidated to date. Purpose: The aim of the present study is to give an insight into the effective components and mechanisms of Dianbaizhu in ameliorating RA, based on the estimation of the absorption, distribution, metabolism, and excretion (ADME) properties, analysis of network pharmacology, and in vivo and in vitro validations. Study design and methods: The IL-1β-induced human fibroblast-like synoviocytes of RA (HFLS-RA) model and adjuvant-induced arthritis in the rat model were adopted to assess the anti-RA effect of ARF. The components in ARF were identified by using UHPLC-LTQ-Orbitrap-MSn. The quantitative structure-activity relationship (QSAR) models were developed by using five machine learning algorithms, alone or in combination with genetic algorithms for predicting the ADME properties of ARF. The molecular networks and pathways presumably referring to the therapy of ARF on RA were yielded by using common databases and visible software, and the experimental validations of the key targets conducted in vitro. Results: ARF effectively relieved RA in vivo and in vitro. The five optimized QSAR models that were developed showed robustness and predictive ability. The characterized 48 components in ARF had good biological potency. Four key signaling pathways were obtained, which were related to both cytokine signaling and cell immune response. ARF suppressed IL-1β-induced expression of EGFR, MMP 9, IL2, MAPK14, and KDR in the HFLS-RA . Conclusions: ARF has good druggability and high exploitation potential. Methyl salicylate glycosides and flavonoids play essential roles in attuning RA. ARF may partially attenuate RA by regulating the expression of multi-targets in the inflammation-immune system. These provide valuable information to rationalize ARF and other TC/EMs in the treatment of RA.

Dataset Information

Data on synthesis, ADME and pharmacological properties and early safety pharmacology evaluation of a series of novel NURR1/NOT agonist potentially useful for the treatment of Parkinson's disease.

Publications

Data on synthesis, ADME and pharmacological properties and early safety pharmacology evaluation of a series of novel NURR1/NOT agonist potentially useful for the treatment of Parkinson's disease.

Similar Datasets

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