RESUMO
Herein, we describe the synthesis and evaluation of anti-inflammatory activities of new curcumin derivatives. The thirteen curcumin derivatives were synthesized by Steglich esterification on one or both of the phenolic rings of curcumin with the aim of providing improved anti-inflammatory activity. Monofunctionalized compounds showed better bioactivity than the difunctionalized derivatives in terms of inhibiting IL-6 production, and known compound 2 presented the highest activity. Additionally, this compound showed strong activity against PGE2. Structure-activity relationship studies were carried out for both IL-6 and PGE2, and it was found that the activity of this series of compounds increases when a free hydroxyl group or aromatic ligands are present on the curcumin ring and a linker moiety is absent. Compound 2 remained the highest activity in modulating IL-6 production and showed strong activity against PGE2 synthesis.
Assuntos
Anti-Inflamatórios , Curcumina , Polifenóis , Anti-Inflamatórios/química , Anti-Inflamatórios/farmacologia , Curcumina/análogos & derivados , Curcumina/farmacologia , Interleucina-6 , Polifenóis/química , Relação Estrutura-AtividadeRESUMO
Tetrahydrocurcumin, the most abundant curcumin transformation product in biological systems, can potentially be a new alternative therapeutic agent with improved anti-inflammatory activity and higher bioavailability than curcumin. In this article, we describe the synthesis and evaluation of the anti-inflammatory activities of tetrahydrocurcumin derivatives. Eleven tetrahydrocurcumin derivatives were synthesized via Steglich esterification on both sides of the phenolic rings of tetrahydrocurcumin with the aim of improving the anti-inflammatory activity of this compound. We showed that tetrahydrocurcumin (2) inhibited TNF-α and IL-6 production but not PGE2 production. Three tetrahydrocurcumin derivatives inhibited TNF-α production, five inhibited IL-6 production, and three inhibited PGE2 production. The structure-activity relationship analysis suggested that two factors could contribute to the biological activities of these compounds: the presence or absence of planarity and their structural differences. Among the tetrahydrocurcumin derivatives, cyclic compound 13 was the most active in terms of TNF-α production, showing even better activity than tetrahydrocurcumin. Acyclic compound 11 was the most effective in terms of IL-6 production and retained the same effect as tetrahydrocurcumin. Moreover, acyclic compound 12 was the most active in terms of PGE2 production, displaying better inhibition than tetrahydrocurcumin. A 3D-QSAR analysis suggested that the anti-inflammatory activities of tetrahydrocurcumin derivatives could be increased by adding bulky groups at the ends of compounds 2, 11, and 12.
Assuntos
Curcumina , Curcumina/química , Fator de Necrose Tumoral alfa , Interleucina-6 , Anti-Inflamatórios/farmacologia , Anti-Inflamatórios/química , Relação Estrutura-AtividadeRESUMO
BACKGROUND: Red mamey is the fruit of P. sapota, a tree found in Mesoamerica and Asia. This fruit is considered a nutraceutical due to its multiple beneficial health including antiamyloidogenic activity and potential anti-tumorigenic property. Red mamey contain a variety of carotenoids including novel ketocarotenoids such as sapotexanthin and cryptocapsin. A ketocarotenoid is a chemical compound with a carbonyl group present in the ß-ring or in the double bond chain of a carotenoid. In red mamey, the 3'-deoxy-k-end group in sapotexanthin has proven to be an important pro-vitamin A source, which is essential for maintaining a healthy vision and cognitive processes. OBJECTIVE: This work reviews the current knowledge about the chemistry and biological activities of carotenoids in red mamey. METHOD: An exhaustive extraction is the most usual methodology to isolate and thoroughly characterize the carotenoids present in this fruit. High performance liquid chromatography is used to determine the profile of total carotenoids and its purity, while atmospheric pressure chemical ionization was used to determine their molecular weight and nuclear magnetic resonance determined their structure. RESULT: For each 100 g of fresh weight, 0.12 mg of total carotenoid from this fruit can be obtained. Out of the more than 47 reported carotenoids in red mamey, only 34 have a detailed characterization. CONCLUSION: It is important to continue studying the chemical composition and biological activity of this unique tropical fruit with commercial and nutritional value.
Assuntos
Pouteria , Carotenoides/química , Carotenoides/farmacologia , Cromatografia Líquida de Alta Pressão , Frutas , Espectroscopia de Ressonância Magnética , Pouteria/químicaRESUMO
BACKGROUND: The most important hallmark in the neuropathology of Alzheimer's disease (AD) is the formation of amyloid-ß (Aß) fibrils due to the misfolding/aggregation of the Aß peptide. Preventing or reverting the aggregation process has been an active area of research. Naturally occurring products are a potential source of molecules that may be able to inhibit Aß42 peptide aggregation. Recently, we and others reported the anti-aggregating properties of curcumin and some of its derivatives in vitro, presenting an important therapeutic avenue by enhancing these properties. OBJECTIVE: To computationally assess the interaction between Aß peptide and a set of curcumin derivatives previously explored in experimental assays. METHODS: The interactions of ten ligands with Aß monomers were studied by combining molecular dynamics and molecular docking simulations. We present the in silico evaluation of the interaction between these derivatives and the Aß42 peptide, both in the monomeric and fibril forms. RESULTS: The results show that a single substitution in curcumin could significantly enhance the interaction between the derivatives and the Aß42 monomers when compared to a double substitution. In addition, the molecular docking simulations showed that the interaction between the curcumin derivatives and the Aß42 monomers occur in a region critical for peptide aggregation. CONCLUSION: Results showed that a single substitution in curcumin improved the interaction of the ligands with the Aß monomer more so than a double substitution. Our molecular docking studies thus provide important insights for further developing/validating novel curcumin-derived molecules with high therapeutic potential for AD.
Assuntos
Doença de Alzheimer/metabolismo , Peptídeos beta-Amiloides/metabolismo , Amiloide/metabolismo , Simulação por Computador , Curcumina/metabolismo , Simulação de Acoplamento Molecular/métodos , Amiloide/química , Peptídeos beta-Amiloides/química , Curcumina/química , Humanos , Simulação de Dinâmica Molecular , Ligação Proteica/fisiologia , Estrutura Secundária de ProteínaRESUMO
Global Natural Product Social Molecular Networking (GNPS) is an interactive online small molecule-focused tandem mass spectrometry (MS2) data curation and analysis infrastructure. It is intended to provide as much chemical insight as possible into an untargeted MS2 dataset and to connect this chemical insight to the user's underlying biological questions. This can be performed within one liquid chromatography (LC)-MS2 experiment or at the repository scale. GNPS-MassIVE is a public data repository for untargeted MS2 data with sample information (metadata) and annotated MS2 spectra. These publicly accessible data can be annotated and updated with the GNPS infrastructure keeping a continuous record of all changes. This knowledge is disseminated across all public data; it is a living dataset. Molecular networking-one of the main analysis tools used within the GNPS platform-creates a structured data table that reflects the molecular diversity captured in tandem mass spectrometry experiments by computing the relationships of the MS2 spectra as spectral similarity. This protocol provides step-by-step instructions for creating reproducible, high-quality molecular networks. For training purposes, the reader is led through a 90- to 120-min procedure that starts by recalling an example public dataset and its sample information and proceeds to creating and interpreting a molecular network. Each data analysis job can be shared or cloned to disseminate the knowledge gained, thus propagating information that can lead to the discovery of molecules, metabolic pathways, and ecosystem/community interactions.