Evidence map›Paper›PMID 39041802›Full record

ArticlemBio2024

Membrane potential dynamics unveil the promise of bioelectrical antimicrobial susceptibility Testing (BeAST) for anti-fungal screening.

Tailise Carolina de Souza-Guerreiro, Letícia Huan Bacellar, Thyerre Santana da Costa, Conor L A Edwards, Ljubica Tasic, Munehiro Asally

Abstract read
In one paragraph

Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

6 authors.

Tailise Carolina de Souza-GuerreiroSchool of Life Sciences, University of Warwick, Coventry, United Kingdom.ORCID 0000-0002-7223-1284
Letícia Huan BacellarInstitute of Chemistry, Biological Chemistry Laboratory, University of Campinas, Campinas, Brazil.
Thyerre Santana da CostaInstitute of Chemistry, Biological Chemistry Laboratory, University of Campinas, Campinas, Brazil.ORCID 0000-0002-6642-328X
Conor L A EdwardsCytecom Ltd., Coventry, United Kingdom.
Ljubica TasicInstitute of Chemistry, Biological Chemistry Laboratory, University of Campinas, Campinas, Brazil.ORCID 0000-0003-2930-7332
Munehiro AsallySchool of Life Sciences, University of Warwick, Coventry, United Kingdom.ORCID 0000-0002-8273-7617

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2014/50867-3, 2023/02338Royal Society (The Royal Society) IES\R3\223259UKRI | Biotechnology and Biological Sciences Research Council (BBSRC) BB/S506783/1, BB/S507982/1, BB/M017982/1
6 · The paper itself

Abstract

Membrane potential is a useful marker for antimicrobial susceptibility testing (AST) due to its fundamental roles in cell function. However, the difficulties associated with measuring the membrane potential in microbes restrict its broad application. In this study, we present bioelectrical AST (BeAST) using the model fungus IMPORTANCE: Rapid assessment of the efficacy of antimicrobials is important for optimizing treatments, avoiding misuse and facilitating the screening of new antimicrobials. The need for rapid antimicrobial susceptibility testing (AST) is growing with the rise of antimicrobial resistance. Here, we present bioelectrical AST (BeAST). Combining time-lapse microscopy and mathematical modeling, we show that electrically induced membrane potential dynamics of yeast cells correspond to the strength of growth inhibition. Furthermore, we demonstrate the utility of BeAST for assessing antimicrobial activities of novel compounds using biogenic silver nanoparticles.

Indexed as

Antifungal AgentsMembrane PotentialsMicrobial Sensitivity TestsSaccharomyces cerevisiaeCell MembraneFusariumAntifungal Agentsanti-fungal susceptibility testingbioelectrical engineeringbioelectricitylive-cell detectionmembrane potentialmicrobial electrophysiology

Identifiers

PMID39041802
PMCPMC11323469

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.