Identification of antiplasmodial triterpenes from Keetia species using NMR-based metabolic profiling

Autor(es)

Freire, Rafael Teixeira ^[1] ; Bero, Joanne ^[2] ; Beaufay, Claire ^[2] ; Selegato, Denise Medeiros ^[1] ; Coqueiro, Aline ^[1] ; Choi, Young Hae ^{[1, 3]} ; Quetin-Leclercq, Joelle ^[2]

Afiliação do(s) autor(es)

^[1] Leiden Univ, Inst Biol, Nat Prod Lab, Sylviusweg 72, NL-2333 BE Leiden - Netherlands

^[2] UCLouvain, Univ Catholique Louvain, Pharmacognosy Res Grp, Louvain Drug Res Inst, Ave E Mounier 72, B1-72-03, B-1200 Brussels - Belgium

^[3] Kyung Hee Univ, Coll Pharm, Seoul 02447 - South Korea

• Tipo de documento: Artigo Científico
• Fonte: METABOLOMICS; v. 15, n. 3 MAR 2019.
• Citações Web of Science: 1

Resumo

IntroductionThe increase in multidrug resistance and lack of efficacy in malaria therapy has propelled the urgent discovery of new antiplasmodial drugs, reviving the screening of secondary metabolites from traditional medicine. In plant metabolomics, NMR-based strategies are considered a golden method providing both a holistic view of the chemical profiles and a correlation between the metabolome and bioactivity, becoming a corner stone of drug development from natural products.ObjectiveCreate a multivariate model to identify antiplasmodial metabolites from H-1 NMR data of two African medicinal plants, Keetia leucantha and K. venosa.MethodsThe extracts of twigs and leaves of Keetia species were measured by H-1 NMR and the spectra were submitted to orthogonal partial least squares (OPLS) for antiplasmodial correlation.ResultsUnsupervised H-1 NMR analysis showed that the effect of tissues was higher than species and that triterpenoids signals were more associated to Keetia twigs than leaves. OPLS-DA based on Keetia species correlated triterpene signals to K. leucantha, exhibiting a higher concentration of triterpenoids and phenylpropanoid-conjugated triterpenes than K. venosa. In vitro antiplasmodial correlation by OPLS, validated for all Keetia samples, revealed that phenylpropanoid-conjugated triterpenes were highly correlated to the bioactivity, while the acyclic squalene was found as the major metabolite in low bioactivity samples.ConclusionNMR-based metabolomics combined with supervised multivariate data analysis is a powerful strategy for the identification of bioactive metabolites in plant extracts. Moreover, combination of statistical total correlation spectroscopy with 2D NMR allowed a detailed analysis of different triterpenes, overcoming the challenge posed by their structure similarity and coalescence in the aliphatic region. (AU)

• Processo FAPESP: 14/05935-0 - Co-cultura de micro-organismos isolados da rizosfera de Senna spectabilis visando a produção de metabólitos bioativos
• Beneficiário: Denise Medeiros Selegato
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto