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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Metabolomic profiling of Zanthoxylum species: Identification of anti-cholinesterase alkaloids candidates

Texto completo
Autor(es):
Plazas, Erika [1] ; Casoti, Rosana [2] ; Avila Murillo, Monica [1] ; Da Costa, Fernando Batista [2] ; Enrique Cuca, Luis [1]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Nacl Colombia, Chem Dept, Cr 30 45-03, Bogota 111321 - Colombia
[2] Univ Sao Paulo, AsterBioChem Res Team, Sch Pharmaceut Sci Ribeirao Preto, Av Cafe S-N, BR-14044090 Ribeirao Petro, SP - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: Phytochemistry; v. 168, DEC 2019.
Citações Web of Science: 7
Resumo

The isolation of bioactive compounds from natural sources is a key step in drug discovery and development, however, this procedure is usually expensive and difficult due to the complexity and the limited amounts of the metabolites in the extracts. Thus, rational or targeting isolations are becoming more popular to reduce the bottlenecks in bioactive natural products research. In this study, we used a LC-MS-based metabolomic approach and biochemometric statistical tools (PCA and OPLS-DA) to identify potential anti-cholinesterase alkaloids predictors in Zanthoxylum genus (Rutaceae). For this purpose, 41 alkaloid extracts from nine Colombian Zanthoxylum species were screened by UHPLC-UV-HRMS and inhibitory activity against Acetylcholinesterase (AChE) and Butyrylcholinesterase (BChE). Based on the screening results, a multivariate statistical analysis (MVA) and selection of anti-cholinesterase candidates were performed using the S-plot from the OPLS-DA model. The supervised analysis (OPLS-DA) paring the anti-cholinesterase screening and LC-HRMS data showed at least 11 ChE inhibition markers which could have contributed in the differentiation of active and inactive extracts. The predictors were tentatively identified by comparing chromatographic retention times (R-t) and accurate mass and MS2 fragmentation patterns. In general, the inhibition markers correspond to four types of isoquinoline alkaloids: tetrahydroprotoberberines, protoberberines, dihydrobenzophenanthridines and benzophenanthridines. The most active extracts from Z. schreberi and Z. monophylum showed the highest presence of berberine and chelerythrine, previously reported as cholinesterase inhibitors. Thus, to validate the results of the OPLS-DA model, three alkaloids from the bark of Z. schreberi (identified as berberine, chelerythrine and columbamine) were bio-directed isolated, and all of them showed strong inhibition against both enzymes. These findings support our statistical models and contribute to the rational search of anticholinesterase alkaloids. Therefore, LC-MS-based metabolomic approach combined with chemometric statistical analysis are shown as useful tools for the isolation of targeted bioactive natural products, contributing to improve the research and development stages of lead compounds. (AU)

Processo FAPESP: 14/26866-7 - Metabolômica, alvos enzimáticos e ferramentas in silico na busca por substâncias bioativas de plantas
Beneficiário:Fernando Batista da Costa
Modalidade de apoio: Auxílio à Pesquisa - Regular