Evidence map›Paper›PMID 30888152›Full record

ArticleAnalytical chemistry2019

Strain-Level Differentiation of Bacteria by Paper Spray Ionization Mass Spectrometry.

Casey A Chamberlain, Vanessa Y Rubio, Timothy J Garrett

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. The Multifaceted Impact of Bioactive Lipids on Gut Health and Disease.International journal of molecular sciences · 2024
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. 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

3 authors.

Casey A ChamberlainDepartment of Pathology, Immunology and Laboratory Medicine , University of Florida , Gainesville , Florida 32610 , United States.
Vanessa Y RubioDepartment of Chemistry , University of Florida , Gainesville , Florida 32611 , United States.
Timothy J GarrettDepartment of Pathology, Immunology and Laboratory Medicine , University of Florida , Gainesville , Florida 32610 , United States.ORCID 0000-0003-1623-009X

Funding

Probiotic-Induced Elimination of Oxalate to Treat Hyperoxaluria Associated with PR01DK088892 · NIDDK · UNIVERSITY OF FLORIDA · PI HATCH, MARGUERITE · 2010 to 2019
$3.5M
NIDDK NIH HHS R01 DK088892
6 · The paper itself

Abstract

Paper spray ionization mass spectrometry (PSI-MS) is a relatively new analytical technique allowing for rapid mass spectrometric analysis of biological samples with little or no sample preparation. The expeditious nature of the analysis and minimal requirement for sample preparation make PSI-MS a promising avenue for future clinical assays with one potential application in the identification of different types of bacteria. Although past PSI-MS studies have demonstrated the ability to distinguish between bacteria of different species and morphological classes, achieving within-species strain-level differentiation has never been performed. In this report, we demonstrate the first strain-level bacterial differentiation by PSI-MS with the mammalian intestinal bacterium Oxalobacter formigenes ( Oxf). This novel application holds promising clinical significance as it could be used to differentiate between pathogenic bacteria and their harmless, commensal relatives, saving time and money in clinical diagnostics. Both whole cells and cell lysates of  Oxf strains HC1 and OxWR were analyzed using the Prosolia Velox 360

Indexed as

PaperMass SpectrometryOxalobacter formigenesSpecies Specificity

Identifiers

PMID30888152
PMCPMC6537876

What OpenQuestion holds

Textmetadata
LicenceTDM
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.