Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic Approach
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Molecules |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1420-3049/25/8/1833 |
| _version_ | 1797570509278281728 |
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| author | Alessandro Buriani Stefano Fortinguerra Vincenzo Sorrenti Giada Caudullo Maria Carrara |
| author_facet | Alessandro Buriani Stefano Fortinguerra Vincenzo Sorrenti Giada Caudullo Maria Carrara |
| author_sort | Alessandro Buriani |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T20:25:36Z |
| format | Article |
| id | doaj.art-d94766d06f1f4b4ab9813586f882a1b0 |
| institution | Directory Open Access Journal |
| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-03-10T20:25:36Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj.art-d94766d06f1f4b4ab9813586f882a1b02023-11-19T21:49:50ZengMDPI AGMolecules1420-30492020-04-01258183310.3390/molecules25081833Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic ApproachAlessandro Buriani0Stefano Fortinguerra1Vincenzo Sorrenti2Giada Caudullo3Maria Carrara4Maria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35100 Padova, ItalyMaria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35100 Padova, ItalyMaria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35100 Padova, ItalyBendessere™ Study Center, Solgar Italia Multinutrient S.p.A; 35100 Padova, ItalyDepartment of Pharmaceutical and Pharmacological Sciences, University of Padova, 35100 Padova, ItalyThanks 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.https://www.mdpi.com/1420-3049/25/8/1833essential oilnetwork pharmacologypersonalized medicinephytogenomicsmultivariate analysis |
| spellingShingle | Alessandro Buriani Stefano Fortinguerra Vincenzo Sorrenti Giada Caudullo Maria Carrara Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic Approach Molecules essential oil network pharmacology personalized medicine phytogenomics multivariate analysis |
| title | Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic Approach |
| title_full | Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic Approach |
| title_fullStr | Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic Approach |
| title_full_unstemmed | Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic Approach |
| title_short | Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic Approach |
| title_sort | essential oil phytocomplex activity a review with a focus on multivariate analysis for a network pharmacology informed phytogenomic approach |
| topic | essential oil network pharmacology personalized medicine phytogenomics multivariate analysis |
| url | https://www.mdpi.com/1420-3049/25/8/1833 |
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