Author:
Demarque Daniel P.,Dusi Renata G.,de Sousa Francisco D. M.,Grossi Sophia M.,Silvério Maira R. S.,Lopes Norberto P.,Espindola Laila S.
Abstract
AbstractMetabolomics is a powerful tool in the analysis and identification of metabolites responsible for biological properties. Regarding natural product chemistry, it constitutes a potential strategy to streamline the classic and laborious process of isolating natural products, which often involves the re-isolation and identification of known compounds. In this contribution, we establish a mass spectrometry-based metabolomics strategy to discover compounds with larvicidal activity against Aedes aegypti. We analyse the Brazilian plant Annona crassiflora using different platforms to annotate the active compounds in different extracts/fractions of various plant parts. The MetaboAnalyst and GNPS platforms, which consider LC-MS and LC-MS/MS data, respectively, were chosen to identify compounds that differentiate active and inactive samples. Bio-guided isolation was subsequently performed to confirm compound activity. Results proved the capacity of metabolomics to predict metabolite differences between active and inactive samples using LC-MS and LC-MS/MS data. Moreover, we discuss the limitations, possibilities, and strategies to have a broad view of vast data.
Publisher
Springer Science and Business Media LLC
Reference25 articles.
1. Wolf, D. & Siems, K. Burning the hay to find the needle data mining strategies in natural product dereplication. Chimia 61, 339–345, https://doi.org/10.2533/chimia.2007.339 (2007).
2. Espindola, L. S. et al. Cytotoxic Triterpenes from Salacia crassifolia and Metabolite Profiling of Celastraceae Species. Molecules 23, https://doi.org/10.3390/Molecules23061494 (2018).
3. Demarque, D. P., Saboia, J. F., Fabri, J. R. & Carollo, C. A. Allelopathic activity of Matricaria chamomilla essential oil in bioautography test. Allelopathy J 29, 171–176 (2012).
4. Patridge, E., Gareiss, P., Kinch, M. S. & Hoyer, D. An analysis of FDA-approved drugs: natural products and their derivatives. Drug Discov Today 21, 204–207, https://doi.org/10.1016/j.drudis.2015.01.009 (2016).
5. Aligiannis, N. et al. Heterocovariance Based Metabolomics as a Powerful Tool Accelerating Bioactive Natural Product Identification. Chemistryselect 1, 2531–2535, https://doi.org/10.1002/slct.201600744 (2016).
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