Evidence map›Paper›PMID 37438469›Full record

ArticleScientific reports2023

Detection of antimicrobial impact on gram-negative bacterial cell envelope based on single-cell imaging by scanning electron microscopy.

Akiko Hisada, Erino Matsumoto, Ryo Hirano, Mami Konomi, Jacques Yaacoub Bou Khalil, Didier Raoult, Yusuke Ominami

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

7 authors at 4 institutions in 2 countries.

Akiko HisadaHealthcare Innovation Center, Research and Development Group, Hitachi, Ltd., 1-280, Higashi-Koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan. akiko.hisada.uf@hitachi.com.
Erino MatsumotoHealthcare Innovation Center, Research and Development Group, Hitachi, Ltd., 1-280, Higashi-Koigakubo, Kokubunji-shi, Tokyo, 185-8601, Japan.
Ryo HiranoCore Technology and Solutions Group, Hitachi High-Tech Corporation, Tokyo, 105-6409, Japan.
Mami KonomiCore Technology and Solutions Group, Hitachi High-Tech Corporation, Tokyo, 105-6409, Japan.
Jacques Yaacoub Bou KhalilInstitut Hospitalo-Universitaire Méditerranée Infection, 13005, Marseille, France.
Didier RaoultConsulting Infection Marseille, 13008, Marseille, France.
Yusuke OminamiCore Technology and Solutions Group, Hitachi High-Tech Corporation, Tokyo, 105-6409, Japan.
Hitachi (Japan) · JPHitachi High-Tech (Japan)Délégation Provence et Corse · FRMéditerranée Infection Foundation · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid determination of drug efficacy against bacterial pathogens is needed to detect potentially resistant bacteria and allow for more rational use of antimicrobials. As an indicator of the antimicrobial effect for rapid detection, we found changes in image brightness in antimicrobial-affected bacteria by scanning electron microscopy (SEM). The cell envelopes of unaffected bacteria were stained with phosphotungstic acid (PTA), whereas the entire cells of affected bacteria were stained. Since tungsten density increases backscattered electron intensity, brighter bacterial images indicate lethal damage. We propose a simplified method for determining antimicrobial efficacy by detecting damage that occurs immediately after drug administration using tabletop SEM. This method enabled the visualization of microscopic deformations while distinguishing bacterial-cell-envelope damage on gram-negative bacteria due to image-brightness change. Escherichia coli, Acinetobacter baumannii, Enterobacter cloacae, Klebsiella pneumoniae, and Pseudomonas aeruginosa were exposed to imipenem and colistin, which affect the cell envelope through different mechanisms. Classification of single-cell images based on brightness was quantified for approximately 500 bacteria per sample, and the bright images predominated within 5 to 60 min of antimicrobial treatment, depending on the species. Using intracellular PTA staining and characteristic deformations as indicators, it was possible to determine the efficacy of antimicrobials in causing bacterial-cell-envelope damage.

Indexed as

Anti-Infective AgentsCell WallCell MembraneEscherichia coliGram-Negative BacteriaMicroscopy, Electron, ScanningAnti-Infective Agents

Identifiers

PMID37438469
PMCPMC10338463
OpenAlexW4384008729

What OpenQuestion 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 OpenQuestion graph.