Evidence map›Paper›PMID 37052585›Full record

ArticleJournal of natural products2023

Interaction Metabolomics to Discover Synergists in Natural Product Mixtures.

Warren S Vidar, Tim U H Baumeister, Lindsay K Caesar, Joshua J Kellogg, Daniel A Todd, Roger G Linington, Olav M Kvalheim, Nadja B Cech

Open access · hybridAbstract read
In one paragraph

Article in Journal of natural products, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 26 citations in OpenAlex.

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  12. Saturated Iso-Type Fatty Acids from the Marine BacteriumPharmaceuticals (Basel, Switzerland) · 2024
    Article
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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

8 authors at 5 institutions in 3 countries.

Warren S VidarDepartment of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina 27402, United States.
Tim U H BaumeisterDepartment of Chemistry, Simon Fraser University, Burnaby V5A 156, BC, Canada.
Lindsay K CaesarDepartment of Chemistry and Biochemistry, James Madison University, Harrisonburg, Virginia 22807, United States.
Joshua J KelloggDepartment of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, United States.ORCID 0000-0001-8685-0353
Daniel A ToddDepartment of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina 27402, United States.
Roger G LiningtonDepartment of Chemistry, Simon Fraser University, Burnaby V5A 156, BC, Canada.ORCID 0000-0003-1818-4971
Olav M KvalheimDepartment of Chemistry, University of Bergen, Bergen 5020, Norway.
Nadja B CechDepartment of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina 27402, United States.ORCID 0000-0001-6773-746X
University of North Carolina at Greensboro · USSimon Fraser University · CAJames Madison University · USPennsylvania State University · USUniversity of Bergen · NO

Funding

Urgent Covid-19 Revision to the Center for High-Throughput Functional Annotation of Natural ProductsU41AT008718 · NCCIH · UT SOUTHWESTERN MEDICAL CENTER · PI CECH, NADJA B, LININGTON, ROGER G · 2015 to 2024
$10.1M
Comparative Bioactivity Modeling and Bioinformatics to Study Combination Effects in Complex Natural Product MixturesR15AT010191 · NCCIH · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI CECH, NADJA B · 2019 to 2019
$431k
NCCIH NIH HHS R15 AT010191NCCIH NIH HHS U41 AT008718
6 · The paper itself

Abstract

Mass spectrometry metabolomics has become increasingly popular as an integral aspect of studies to identify active compounds from natural product mixtures. Classical metabolomics data analysis approaches do not consider the possibility that interactions (such as synergy) could occur between mixture components. With this study, we developed "interaction metabolomics" to overcome this limitation. The innovation of interaction metabolomics is the inclusion of compound interaction terms (CITs), which are calculated as the product of the intensities of each pair of features (detected ions) in the data matrix. Herein, we tested the utility of interaction metabolomics by spiking known concentrations of an antimicrobial compound (berberine) and a synergist (piperine) into a set of inactive matrices. We measured the antimicrobial activity for each of the resulting mixtures against

Indexed as

AlkaloidsAnti-Infective AgentsBerberineBiological ProductsBenzodioxolesMetabolomicsPiperidinesPolyunsaturated AlkamidesAlkaloidsAnti-Infective AgentsBenzodioxolesBerberineBiological ProductsPiperidinespiperinePolyunsaturated Alkamides

Identifiers

PMID37052585
PMCPMC10152448
OpenAlexW4365442818

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.