Evidence map›Paper›PMID 37535099›Full record

ArticleAnalytical and bioanalytical chemistry2023

High-throughput analysis of lipidomic phenotypes of methicillin-resistant Staphylococcus aureus by coupling in situ 96-well cultivation and HILIC-ion mobility-mass spectrometry.

Rutan Zhang, Nate K Ashford, Amy Li, Dylan H Ross, Brian J Werth, Libin Xu

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rutan ZhangDepartment of Medicinal Chemistry, University of Washington, Seattle, WA, 98195, USA.
Nate K AshfordDepartment of Pharmacy, University of Washington, Seattle, WA, 98195, USA.
Amy LiDepartment of Medicinal Chemistry, University of Washington, Seattle, WA, 98195, USA.
Dylan H RossDepartment of Medicinal Chemistry, University of Washington, Seattle, WA, 98195, USA.
Brian J WerthDepartment of Pharmacy, University of Washington, Seattle, WA, 98195, USA.
Libin XuDepartment of Medicinal Chemistry, University of Washington, Seattle, WA, 98195, USA. libinxu@uw.edu.

Funding

Contribution of altered lipid metabolism to resistance to cell envelope-targeting antimicrobials in MRSAR01AI136979 · NIAID · UNIVERSITY OF WASHINGTON · PI Brian James Werth, Libin Xu · 2018 to 2026
$4.1M
NIAID NIH HHS R01 AI136979
6 · The paper itself

Abstract

Antimicrobial resistance is a major threat to human health as resistant pathogens spread globally, and the development of new antimicrobials is slow. Since many antimicrobials function by targeting cell wall and membrane components, high-throughput lipidomics for bacterial phenotyping is of high interest for researchers to unveil lipid-mediated pathways when dealing with a large number of lab-selected or clinical strains. However, current practice for lipidomic analysis requires the cultivation of bacteria on a large scale, which does not replicate the growth conditions for high-throughput bioassays that are normally carried out in 96-well plates, such as susceptibility tests, growth curve measurements, and biofilm quantitation. Analysis of bacteria grown under the same condition as other bioassays would better inform the differences in susceptibility and other biological metrics. In this work, a high-throughput method for cultivation and lipidomic analysis of antimicrobial-resistant bacteria was developed for standard 96-well plates exemplified by methicillin-resistant Staphylococcus aureus (MRSA). By combining a 30-mm liquid chromatography (LC) column with ion mobility (IM) separation, elution time could be dramatically shortened to 3.6 min for a single LC run without losing major lipid features. Peak capacity was largely rescued by the addition of the IM dimension. Through multi-linear calibration, the deviation of retention time can be limited to within 5%, making database-based automatic lipid identification feasible. This high-throughput method was further validated by characterizing the lipidomic phenotypes of antimicrobial-resistant mutants derived from the MRSA strain, W308, grown in a 96-well plate.

Indexed as

Anti-Infective AgentsMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAnti-Bacterial AgentsHumansLipidomicsLipidsMass SpectrometryMicrobial Sensitivity TestsPhenotypeAnti-Bacterial AgentsAnti-Infective AgentsLipidsAntimicrobial resistanceBacteriaHigh throughputIon mobility-mass spectrometryLipidomics

Identifiers

PMID37535099
PMCPMC11059195

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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.