Evidence map›Paper›PMID 35623100›Full record

ArticleJournal of the American Society for Mass Spectrometry2022

Rapid Antibiotic Susceptibility Testing by Deuterium Labeling of Bacterial Lipids in On-Target Microdroplet Cultures.

Evan A Larson, Josiah J Rensner, Kristina R Larsen, Bryan Bellaire, Young Jin Lee

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Metabolism-Based Biomarkers for Rapid Phenotypic Antibiotic Susceptibility Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Article
  4. Mass spectrometry imaging ofFrontiers in plant science · 2024
    Article
  5. Rapid detection of antimicrobial resistance in methicillin-resistantFrontiers in cellular and infection microbiology · 2023
    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.

Evan A LarsonDepartment of Chemistry, Iowa State University, Ames, Iowa 50011, United States.
Josiah J RensnerDepartment of Chemistry, Iowa State University, Ames, Iowa 50011, United States.
Kristina R LarsenDepartment of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, Iowa 50011, United States.
Bryan BellaireDepartment of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, Iowa 50011, United States.ORCID 0000-0002-4034-6482
Young Jin LeeDepartment of Chemistry, Iowa State University, Ames, Iowa 50011, United States.ORCID 0000-0002-2533-5371

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance is a serious challenge facing human and veterinary health. Current methods of detecting resistance are limited in turn-around time or universal detection. In this work, a new antimicrobial susceptibility test is developed and validated, which utilizes deuterium labeling of membrane lipids to track the growth of bacterial cells. We hypothesize that deuterium uptake and subsequent labeling of lipids can be detected using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). Additionally, bacteria growth is performed on the MALDI target, minimizing sample preparation materials and time. When two

Indexed as

Anti-Bacterial AgentsEscherichia coliBacteriaDeuteriumDrug Resistance, BacterialHumansLipidsMicrobial Sensitivity TestsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnti-Bacterial AgentsDeuteriumLipidsantibiotic susceptibility testantimicrobial resistancedeuterium labelingE. coliMALDImembrane lipidsminimum inhibitory concentration

Identifiers

PMID35623100
PMCPMC9264383

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.