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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Combined OPLS-DA and decision tree as a strategy to identify antimicrobial biomarkers of volatile oils analyzed by gas chromatography-mass spectrometry

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Author(s):
dos Santos, Felipe A. [1, 2] ; Sousa, Ingrid P. [1] ; Furtado, Niege A. J. C. [1] ; Da Costa, Fernando B. [1, 2]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, Fac Ciencias Farmaceut Ribeirao Preto, Lab Farmacognosia, Ribeirao Preto, SP - Brazil
[2] Univ Sao Paulo, Fac Ciencias Farmaceut Ribeirao Preto, Grp Pesquisa AsterBioChem, Ribeirao Preto, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: REVISTA BRASILEIRA DE FARMACOGNOSIA-BRAZILIAN JOURNAL OF PHARMACOGNOSY; v. 28, n. 6, p. 647-653, NOV-DEC 2018.
Web of Science Citations: 1
Abstract

Bioguided isolation to discriminate antimicrobial compounds from volatile oils is a time- and money-consuming process. Considering the limitations of the classical methods, it would be a great improvement to use chemometric techniques to identify putative biomarkers from volatile oils. For this purpose, antimicrobial assays of volatile oils extracted from different plant species were carried out against Streptococcus mutans. Eight volatile oils that showed different antimicrobial effects (inactive, weakly active, moderately active and very active) were selected in this work. The volatile oils' composition was determined by GC-MS-based metabolomic analysis. Orthogonal projection to latent structures discriminant analysis and decision tree were carried out to access the metabolites that were highly correlated with a good antimicrobial activity. Initially, the GC-MS metabolomic data were pretreated by different methods such as centering, autoscaling, Pareto scaling, level scaling and power transformation. The level scaling was selected by orthogonal projection to latent structures discriminant analysis as the best pretreatment according to the validation results. Based on this data, decision tree was also carried out using the same pretreatment. Both techniques (orthogonal projection to latent structures discriminant analysis and decision tree) pointed palmitic acid as a discriminant biomarker for the antimicrobial activity of the volatile oils against S. mutans. Additionally, orthogonal projection to latent structures discriminant analysis and decision tree predicted as ``very active{''} the antimicrobial activity of volatile oils, which did not belong to the training group. This predicted result is in agreement with our experimental result (MIC = 31.25 mu g ml(-1)). The present study can contribute to the development of useful strategies to help identifying antimicrobial constituents of complex oils. (C) 2018 Sociedade Brasileira de Farmacognosia. Published by Elsevier Editora Ltda. (AU)

FAPESP's process: 12/10249-3 - Chemometrics applied to metabolomics of Aldama La Llave: chemotaxonomic contributions and targeted phytochemistry based on cyclooxygenase-1 and 5-lipoxygenase inhibition
Grantee:Felipe Antunes dos Santos
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 12/01429-8 - Evaluation of essential oils activity against oral microorganisms and effect of mouthwash containing essential oil upon cariogenic microorganism biofilm
Grantee:Ingrid Pontes de Sousa
Support Opportunities: Scholarships in Brazil - Master