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Open AccessReview

Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic Approach

1
Maria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35100 Padova, Italy
2
Department of Pharmaceutical and Pharmacological Sciences, University of Padova, 35100 Padova, Italy
3
Bendessere™ Study Center, Solgar Italia Multinutrient S.p.A; 35100 Padova, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Valtcho Jeliazkov, Murray B. Isman, Farid Chemat, Vassya Bankova and Niko Radulović
Molecules 2020, 25(8), 1833; https://doi.org/10.3390/molecules25081833
Received: 29 March 2020 / Revised: 12 April 2020 / Accepted: 14 April 2020 / Published: 16 April 2020
Thanks to omic disciplines and a systems biology approach, the study of essential oils and phytocomplexes has been lately rolling on a faster track. While metabolomic fingerprinting can provide an effective strategy to characterize essential oil contents, network pharmacology is revealing itself as an adequate, holistic platform to study the collective effects of herbal products and their multi-component and multi-target mediated mechanisms. Multivariate analysis can be applied to analyze the effects of essential oils, possibly overcoming the reductionist limits of bioactivity-guided fractionation and purification of single components. Thanks to the fast evolution of bioinformatics and database availability, disease-target networks relevant to a growing number of phytocomplexes are being developed. With the same potential actionability of pharmacogenomic data, phytogenomics could be performed based on relevant disease-target networks to inform and personalize phytocomplex therapeutic application. View Full-Text
Keywords: essential oil; network pharmacology; personalized medicine; phytogenomics; multivariate analysis essential oil; network pharmacology; personalized medicine; phytogenomics; multivariate analysis
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MDPI and ACS Style

Buriani, A.; Fortinguerra, S.; Sorrenti, V.; Caudullo, G.; Carrara, M. Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic Approach. Molecules 2020, 25, 1833.

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