Evidence map›Paper›PMID 32649968›Full record

ArticleJournal of microbiological methods2020

Targeted and untargeted analysis of secondary metabolites to monitor growth and quorum sensing inhibition for methicillin-resistant Staphylococcus aureus (MRSA).

Derick D Jones, Lindsay K Caesar, Chantal V Pelzer, William J Crandall, Christian Jenul, Daniel A Todd, Alexander R Horswill, Nadja B Cech

Open access · greenAbstract read
In one paragraph

Article in Journal of microbiological methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. DisarmingPathogens (Basel, Switzerland) · 2025
    Review
  2. Article
  3. 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

8 authors at 3 institutions in 1 country.

Derick D JonesDepartment of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.
Lindsay K CaesarDepartment of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.
Chantal V PelzerDepartment of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.
William J CrandallDepartment of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.
Christian JenulDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, USA.
Daniel A ToddDepartment of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.
Alexander R HorswillDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, USA; Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA.
Nadja B CechDepartment of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA. Electronic address: nadja_cech@uncg.edu.
University of North Carolina at Greensboro · USUniversity of Colorado Denver · USVA Eastern Colorado Health Care System · US

Funding

Predoctoral Training: Innovative Technologies for Natural Products and Integrative Medicine ResearchT32AT008938 · NCCIH · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI Nadja B Cech, Jonathan Rodi Chekan · 2016 to 2026
$1.6M
Impact of commensal cross-talk on MRSA colonization and infectionR21AI133089 · NIAID · UNIVERSITY OF COLORADO DENVER · PI HORSWILL, ALEXANDER R · 2018 to 2019
$432k
Quorum Sensing Dependent Interactions with Biofilms and Innate Immunity DefensesI01BX002711 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI ALEXANDER R HORSWILL · 2015 to 2026
–
BLRD VA I01 BX002711NCCIH NIH HHS T32 AT008938NIAID NIH HHS R21 AI133089
6 · The paper itself

Abstract

Drug resistant infections are an increasing problem world-wide, responsible for an estimated 700,000 annual mortalities. The use of antibiotics to treat such infections has resulted in the development of resistant bacterial pathogens such as methicillin-resistant Staphylococcus aureus (MRSA). One potential alternative strategy for treating drug resistant bacterial infections is to inhibit the production of toxins, thereby making the bacteria less harmful to the host, a so called "anti-virulence" approach. In MRSA, the agr quorum sensing system is one of the major regulators of toxin production, and quorum sensing inhibitors that target this system are a promising anti-virulence strategy. With this study, we developed a method that enables the activity of quorum sensing inhibitors to be measured using ultra-performance liquid chromatography coupled to mass spectrometry (UPLC-MS). This method is an improvement over existing methods because it can be employed to distinguish antimicrobial activity from quorum sensing inhibition activity based on the UPLC-MS data. This is possible by simultaneously tracking production of metabolites regulated by the agr quorum sensing system (AIP-I and formylated δ-toxin) and a metabolite that appears not to be agr regulated under the conditions of this study (aureusimine B). The newly developed method provides more nuanced indication of how metabolite production changes over time and in response to quorum sensing or growth inhibition than is possible with commonly employed spectroscopic methods.

Indexed as

Methicillin-Resistant Staphylococcus aureusQuorum SensingBacterial ProteinsChromatography, High Pressure LiquidPyrazinesTandem Mass SpectrometryTrans-ActivatorsAgr protein, Staphylococcus aureusBacterial ProteinsphevalinPyrazinesTrans-ActivatorsAureusimine BMass spectrometryMetabolomicsQuorum sensingSelectivity ratioVirulence

Identifiers

PMID32649968
PMCPMC8485213
OpenAlexW3041457560

What OpenQuestion holds

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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 OpenQuestion graph.