Evidence map›Paper›PMID 32316274›Full record

ReviewMolecules (Basel, Switzerland)2020

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

Alessandro Buriani, Stefano Fortinguerra, Vincenzo Sorrenti, Giada Caudullo, Maria Carrara

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Phytochemical Composition and Pharmacological Efficacy Evaluation ofAnimals : an open access journal from MDPI · 2023
    Article
  11. Article
  12. Antioxidants (Basel, Switzerland) · 2023
    Article
  13. Comparative Chemical Analysis of EightAntioxidants (Basel, Switzerland) · 2022
    Article
  14. Molecules (Basel, Switzerland) · 2022
    Article
  15. Review
  16. Article
  17. Review
  18. Molecular mechanism of ovarian toxicity of Hook.F. a study based on network pharmacology and molecular docking.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alessandro BurianiMaria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35100 Padova, Italy.ORCID 0000-0001-9742-8991
Stefano FortinguerraMaria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35100 Padova, Italy.
Vincenzo SorrentiMaria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35100 Padova, Italy.ORCID 0000-0002-4716-7401
Giada CaudulloBendessere™ Study Center, Solgar Italia Multinutrient S.p.A; 35100 Padova, Italy.
Maria CarraraDepartment of Pharmaceutical and Pharmacological Sciences, University of Padova, 35100 Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Computational BiologyDrug DiscoveryDrugs, Chinese HerbalHumansMultivariate AnalysisNeural Networks, ComputerOils, VolatilePrecision MedicineSystems BiologyDrugs, Chinese HerbalOils, Volatileessential oilmultivariate analysisnetwork pharmacologypersonalized medicinephytogenomics

Identifiers

PMID32316274
PMCPMC7221665

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.