Evidence map›Paper›PMID 36177472›Full record

ArticleFrontiers in microbiology2022

Microbial containment device: A platform for comprehensive analysis of microbial metabolism without sample preparation.

Mehdi Mohammadi, Stephanie L Bishop, Raied Aburashed, Saad Luqman, Ryan A Groves, Dominique G Bihan, Thomas Rydzak, Ian A Lewis

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Mehdi MohammadiDepartment of Biological Sciences, University of Calgary, Calgary, AB, Canada.
Stephanie L BishopDepartment of Biological Sciences, University of Calgary, Calgary, AB, Canada.
Raied AburashedDepartment of Biomedical Engineering, University of Calgary, Calgary, AB, Canada.
Saad LuqmanDepartment of Biomedical Engineering, University of Calgary, Calgary, AB, Canada.
Ryan A GrovesDepartment of Biological Sciences, University of Calgary, Calgary, AB, Canada.
Dominique G BihanDepartment of Biological Sciences, University of Calgary, Calgary, AB, Canada.
Thomas RydzakDepartment of Biological Sciences, University of Calgary, Calgary, AB, Canada.
Ian A LewisDepartment of Biological Sciences, University of Calgary, Calgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is a mainstream strategy for investigating microbial metabolism. One emerging application of metabolomics is the systematic quantification of metabolic boundary fluxes - the rates at which metabolites flow into and out of cultured cells. Metabolic boundary fluxes can capture complex metabolic phenotypes in a rapid assay, allow computational models to be built that predict the behavior of cultured organisms, and are an emerging strategy for clinical diagnostics. One advantage of quantifying metabolic boundary fluxes rather than intracellular metabolite levels is that it requires minimal sample processing. Whereas traditional intracellular analyses require a multi-step process involving extraction, centrifugation, and solvent exchange, boundary fluxes can be measured by simply analyzing the soluble components of the culture medium. To further simplify boundary flux analyses, we developed a custom 96-well sampling system-the Microbial Containment Device (MCD)-that allows water-soluble metabolites to diffuse from a microbial culture well into a bacteria-free analytical well via a semi-permeable membrane. The MCD was designed to be compatible with the autosamplers present in commercial liquid chromatography-mass spectrometry systems, allowing metabolic fluxes to be analyzed with minimal sample handling. Herein, we describe the design, evaluation, and performance testing of the MCD relative to traditional culture methods. We illustrate the utility of this platform, by quantifying the unique boundary fluxes of four bacterial species and demonstrate antibiotic-induced perturbations in their metabolic activity. We propose the use of the MCD for enabling single-step metabolomics sample preparation for microbial identification, antimicrobial susceptibility testing, and other metabolic boundary flux applications where traditional sample preparation methods are impractical.

Indexed as

antibiotic susceptibility testing (AST)bacteria identificationfabricationliquid chromatography-mass spectrometrymetabolic boundary fluxesmetabolic preference assaymetabolomics

Identifiers

PMID36177472
PMCPMC9513318

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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.