Evidence map›Paper›PMID 32797045›Full record

ArticlePloS one2020

Quantifying synergy in the bioassay-guided fractionation of natural product extracts.

Micah Dettweiler, Lewis Marquez, Max Bao, Cassandra L Quave

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. ΔCannabis and cannabinoid research · 2023
    Article
  9. Article
  10. Aqueous Extract ofPlants (Basel, Switzerland) · 2022
    Article
  11. Review
  12. Castaneroxy A From the Leaves ofFrontiers in pharmacology · 2021
    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

4 authors.

Micah DettweilerDepartment of Dermatology, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Lewis MarquezMolecular and Systems Pharmacology Program, Emory University, Atlanta, Georgia, United States of America.
Max BaoCenter for the Study of Human Health, Emory University, Atlanta, Georgia, United States of America.
Cassandra L QuaveDepartment of Dermatology, Emory University School of Medicine, Atlanta, Georgia, United States of America.ORCID 0000-0001-9615-7886

Funding

Novel compounds from botanical innovation yields Acinetobacter treatmentsR21AI136563 · NIAID · EMORY UNIVERSITY · PI QUAVE, CASSANDRA LEAH · 2018 to 2019
$443k
NIAID NIH HHS R21 AI136563
6 · The paper itself

Abstract

Mixtures of drugs often have greater therapeutic value than any of their constituent drugs alone, and such combination therapies are widely used to treat diseases such as cancer, malaria, and viral infections. However, developing useful drug mixtures is challenging due to complex interactions between drugs. Natural substances can be fruitful sources of useful drug mixtures because secondary metabolites produced by living organisms do not often act in isolation in vivo. In order to facilitate the study of interactions within natural substances, a new analytical method to quantify interactions using data generated in the process of bioassay-guided fractionation is presented here: the extract fractional inhibitory concentration index (EFICI). The EFICI method uses the framework of Loewe additivity to calculate fractional inhibitory concentration values by which interactions can be determined for any combination of fractions that make up a parent extract. The EFICI method was applied to data on the bioassay-guided fractionation of Lechea mucronata and Schinus terebinthifolia for growth inhibition of the pathogenic bacterium Acinetobacter baumannii. The L. mucronata extract contained synergistic interactions (EFICI = 0.4181) and the S. terebinthifolia extract was non-interactive overall (EFICI = 0.9129). Quantifying interactions in the bioassay-guided fractionation of natural substances does not require additional experiments and can be useful to guide the experimental process and to support the development of standardized extracts as botanical drugs.

Indexed as

Acinetobacter baumanniiAcinetobacter InfectionsAnacardiaceaeAnti-Bacterial AgentsBiological ProductsChemical FractionationDrug DiscoveryDrug Evaluation, PreclinicalDrug SynergismHumansPlant ExtractsAnti-Bacterial AgentsBiological ProductsPlant Extracts

Identifiers

PMID32797045
PMCPMC7428089

What OpenQuestion holds

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LicenceCC BY
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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.