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1.
J Ethnopharmacol ; 279: 114235, 2021 Oct 28.
Artigo em Inglês | MEDLINE | ID: mdl-34044081

RESUMO

ETHNOPHARMACOLOGICAL RELEVANCE: Trichodesma indicum (L.) R. Br. (family: Boraginaceae) is a medicinal herb largely used to treat arthralgia, rheumatoid arthritis, wound healing, dysentery, etc. It's mechanism of anti-inflammatory activity has not been systematically analyzed yet. AIM OF THE STUDY: The present study was undertaken to examine the anti-inflammatory effects of successive solvent extracts (n-hexane extract (HE), ethyl acetate extract (EA), ethanol extract (EE), aqueous extract (AE) and fractions of HE) from the aerial parts of Trichodesma indicum (TI) against lipopolysaccharide (LPS) stimulated inflammatory reaction using mouse macrophage RAW 264.7 cells. MATERIALS AND METHODS: Cytotoxic effects of the extracts and fractions of TI were assessed by MTT assay. The effect of extracts and fractions on the production of nitric oxide (NO) in RAW 264.7 macrophages were measured using the Griess reagent method. IL - 6, IL - 1ß, TNF-α, iNOS and COX-2 gene expressions were examined by a qRT-PCR method. RESULTS: RAW 264.7 macrophages pretreated with HE, EA, EE and AE of TI showed a significant decrease in the production of proinflammatory cytokines and NO without exhibiting cytotoxicity. The potent HE was fractionated using flash chromatography into FA, FB, FC, FD and FE. Among the five fractions, FE displayed a stronger ability to reduce IL - 1ß, TNF-α, iNOS, COX2 and NO importantly no cytotoxicity was observed. The phytochemical compounds present in FE were further screened by Gas chromatography - Mass spectroscopy (GC-MS). GC-MS analysis revealed that 1,2-benzenedicarboxylic acid diisooctyl ester is the major compound in FE. Molecular docking analysis showed good inhibition of 1,2-benzenedicarboxylic acid diisooctyl ester against TLR-4, NIK and TACE. CONCLUSION: Our results suggested that 1,2-benzenedicarboxylic acid diisooctyl ester could be a potential candidate in alleviating inflammatory reactions in TI.


Assuntos
Anti-Inflamatórios/farmacologia , Derivados de Benzeno/farmacologia , Boraginaceae/química , Ácidos Carboxílicos/farmacologia , Ésteres/farmacologia , Inflamação/tratamento farmacológico , Extratos Vegetais/farmacologia , Animais , Anti-Inflamatórios/isolamento & purificação , Derivados de Benzeno/isolamento & purificação , Derivados de Benzeno/uso terapêutico , Ácidos Carboxílicos/isolamento & purificação , Ácidos Carboxílicos/uso terapêutico , Citocinas/metabolismo , Ésteres/isolamento & purificação , Ésteres/uso terapêutico , Cromatografia Gasosa-Espectrometria de Massas , Inflamação/patologia , Lipopolissacarídeos , Macrófagos/efeitos dos fármacos , Camundongos , Simulação de Acoplamento Molecular , Óxido Nítrico/metabolismo , Células RAW 264.7
2.
Eur J Med Chem ; 222: 113574, 2021 Oct 15.
Artigo em Inglês | MEDLINE | ID: mdl-34126459

RESUMO

Lysophosphatidic acid (LPA) activates six LPA receptors (LPAR1-6) and regulates various cellular activities such as cell proliferation, cytoprotection, and wound healing. Many studies elucidated the pathological outcomes of LPA are due to the alteration in signaling pathways, which include migration and invasion of cancer cells, fibrosis, atherosclerosis, and inflammation. Current pathophysiological research on LPA and its receptors provides a means that LPA receptors are new therapeutic targets for disorders associated with LPA. Various chemical modulators are developed and are under investigation to treat a wide range of pathological complications. This review summarizes the physiological and pathological roles of LPA signaling, development of various LPA modulators, their structural features, patents, and their clinical outcomes.


Assuntos
Lisofosfolipídeos/farmacologia , Receptores de Ácidos Lisofosfatídicos/agonistas , Receptores de Ácidos Lisofosfatídicos/antagonistas & inibidores , Relação Dose-Resposta a Droga , Humanos , Lisofosfolipídeos/química , Lisofosfolipídeos/metabolismo , Estrutura Molecular , Receptores de Ácidos Lisofosfatídicos/metabolismo , Transdução de Sinais/efeitos dos fármacos , Relação Estrutura-Atividade
3.
Comput Biol Chem ; 95: 107600, 2021 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-34794076

RESUMO

Peroxisome proliferator-activated receptor gamma (PPARγ), a member of the nuclear receptor superfamily is an excellent example of targets that orchestrates cancer, inflammation, lipid and glucose metabolism. We report a protocol for the development of novel PPARγ antagonists by employing 3D QSAR based virtual screening for the identification of ligands with anticancer properties. The models are generated based on a large and diverse set of PPARγ antagonist ligands by the HYPOGEN algorithm using Discovery Studio 2019 drug design software. Among the 10 hypotheses generated, Hypotheses 2 showed the highest correlation coefficient values of 0.95 with less RMS deviation of 1.193. Validation of the developed pharmacophore model was performed by Fischer's randomization and screening against test and decoy set. The GH score or goodness score was found to be 0.81 indicating moderate to a good model. The selected pharmacophore model Hypo 2 was used as a query model for further screening of 11,145 compounds from the PubChem, sc-PDB structure database, and designed novel ligands. Based on fit values and ADMET filter, the final 10 compounds with the predicated activity of ≤ 3 nM were subjected for docking analysis. Docking analysis revealed the unique binding mode with hydrophobic amino acid that can cause destabilization of the H12 which is an important molecular mechanism to prove its antagonist action. Based on high CDocker scores, Cpd31 was synthesized, purified, analyzed and screened for PPARγ competitive binding by TR-FRET assay. The biochemical protein binding results matched the predicted results. Further, Cpd31 was screened against cancer cells and validated the results.


Assuntos
Anilidas/farmacologia , Antineoplásicos/farmacologia , Desenho de Fármacos , PPAR gama/antagonistas & inibidores , Algoritmos , Anilidas/síntese química , Anilidas/química , Antineoplásicos/síntese química , Antineoplásicos/química , Ligação Competitiva/efeitos dos fármacos , Humanos , Simulação de Acoplamento Molecular , Estrutura Molecular , PPAR gama/metabolismo
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