Evidence map›Paper›PMID 37601345›Full record

ArticleFrontiers in microbiology2023

Single-cell scattering and auto-fluorescence-based fast antibiotic susceptibility testing for gram-negative and gram-positive bacteria.

Sophie Dixneuf, Anne-Coline Chareire-Kleiberg, Pierre Mahé, Meriem El Azami, Chloé Kolytcheff, Samuel Bellais, Cyril Guyard, Christophe Védrine, Frédéric Mallard, Quentin Josso and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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

11 authors at 2 institutions in 1 country.

Sophie DixneufBIOASTER Technology Research Institute, Lyon, France.
Anne-Coline Chareire-KleibergbioMérieux SA, La Balme-les-Grottes, France.
Pierre MahébioMérieux SA, Grenoble, France.
Meriem El AzamibioMérieux SA, Marcy-l'Étoile, France.
Chloé KolytcheffbioMérieux SA, Marcy-l'Étoile, France.
Samuel BellaisBIOASTER Technology Research Institute, Paris, France.
Cyril GuyardBIOASTER Technology Research Institute, Lyon, France.
Christophe VédrineBIOASTER Technology Research Institute, Paris, France.
Frédéric MallardbioMérieux SA, Grenoble, France.
Quentin JossobioMérieux SA, Marcy-l'Étoile, France.
Fabian RolbioMérieux SA, Marcy-l'Étoile, France.
bioMérieux (France) · FRBIOASTER · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we assess the scattering of light and auto-fluorescence from single bacterial cells to address the challenge of fast (<2 h), label-free phenotypic antimicrobial susceptibility testing (AST). Label-free flow cytometry is used for monitoring both the respiration-related auto-fluorescence in two different fluorescence channels corresponding to FAD and NADH, and the morphological and structural information contained in the light scattered by individual bacteria during incubation with or without antibiotic. Large multi-parameter data are analyzed using dimensionality reduction methods, based either on a combination of 2D binning and Principal Component Analysis, or with a one-class Support Vector Machine approach, with the objective to predict the Susceptible or Resistant phenotype of the strain. For the first time, both

Indexed as

aminoglycosideantibiotic susceptibility testingbeta-lactamEscherichia coliflow cytometrygrowth-freelabel-freeStaphylococcus epidermidis

Identifiers

PMID37601345
PMCPMC10436599
OpenAlexW4385579962

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.