Evidence map›Paper›PMID 40740715›Full record

ArticleRoyal Society open science2025

Bacterial strain type and TEM-1 enzyme allele impact antibiotic susceptibility distribution in monoclonal populations: a single-cell droplet approach.

Shahab Shahryari, Shakeel Ahmad, Ilona Paulina Foik, Paweł Jankowski, Adam Samborski, Marcin Równicki, Shreyas Kandhadai Vasantham, Piotr Garstecki

Abstract read
In one paragraph

Article in Royal Society open science, 2025. 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. Article
  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

8 authors.

Shahab ShahryariDepartment of Soft Condensed Matter, Microfluidics and Complex Fluids Research Group, Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw, Poland.ORCID https://orcid.org/0000-0003-3484-3500
Shakeel AhmadDepartment of Soft Condensed Matter, Microfluidics and Complex Fluids Research Group, Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw, Poland.ORCID https://orcid.org/0000-0002-0791-0598
Ilona Paulina FoikDepartment of Soft Condensed Matter, Microfluidics and Complex Fluids Research Group, Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw, Poland.ORCID https://orcid.org/0000-0002-5927-5776
Paweł JankowskiDepartment of Soft Condensed Matter, Microfluidics and Complex Fluids Research Group, Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw, Poland.
Adam SamborskiDepartment of Soft Condensed Matter, Microfluidics and Complex Fluids Research Group, Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw, Poland.
Marcin RównickiDepartment of Soft Condensed Matter, Microfluidics and Complex Fluids Research Group, Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw, Poland.
Shreyas Kandhadai VasanthamDepartment of Soft Condensed Matter, Microfluidics and Complex Fluids Research Group, Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw, Poland.
Piotr GarsteckiDepartment of Soft Condensed Matter, Microfluidics and Complex Fluids Research Group, Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial populations can display different susceptibilities to antibiotics among individual cells, even though they originate from the same parent cell. This variability can lead to treatment failure and the emergence of resistant bacteria. Understanding the factors influencing this variability is crucial for developing effective antibiotic treatments. The underlying cause of variation in susceptibility distribution within bacterial populations remains unclear, necessitating the development of new tools for measurement. Here, we use a droplet microfluidic single-cell antibiotic susceptibility assay and focus on antibiotic resistance conveyed by the TEM β-lactamases family. We investigate how the catalytic activity of β-lactamase, and the genetic characteristics of the host strains affect the susceptibility distribution within bacterial populations at the single-cell level. For this purpose, we selected TEM-1 with the least catalytic activity against cefotaxime, followed by its two variants, R164S and G238S, exhibiting moderate and significant catalytic activity, respectively. The results showed that increasing the catalytic activity causes an increase in the population's mean level of antibiotic resistance. While the type of β-lactamase influences the susceptibility distribution of the strains, this effect is independent of the catalytic activity of the strains. Besides, the genetic characteristics of the strains receiving the β-lactam resistance gene is an important factor that plays a role in the distribution of susceptibility.

Indexed as

antibiotic resistanceclonal heteroresistancemicrofluidicsTEM-1 beta-lactamase

Identifiers

PMID40740715
PMCPMC12307058

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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.