Evidence map›Paper›PMID 39523331›Full record

ArticleBMC biology2024

Uncovering bacterial-mammalian cell interactions via single-cell tracking.

Narendra K Dewangan, Sayed Golam Mohiuddin, Shayne Sensenbach, Prashant Karki, Mehmet A Orman

Abstract read
In one paragraph

Article in BMC biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Narendra K Dewangan *William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, 77204-4004, USA.
Sayed Golam Mohiuddin *William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, 77204-4004, USA.
Shayne SensenbachWilliam A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, 77204-4004, USA.
Prashant KarkiWilliam A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, 77204-4004, USA.
Mehmet A OrmanWilliam A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, 77204-4004, USA. morman@central.uh.edu.ORCID 0000-0001-8499-9154

Funding

Characterizing a Self-Digesting-Mediated Reversible Drug Tolerance Mechanism in BacteriaR01AI143643 · NIAID · UNIVERSITY OF HOUSTON · PI ORMAN, MEHMET A. · 2020 to 2024
$1.9M
NIAID NIH HHS R01 AI143643
6 · The paper itself

Abstract

backgroundThe interactions between bacterial pathogens and host cells are characterized by a multitude of complexities, leading to a wide range of heterogeneous outcomes. Despite extensive research, we still have a limited understanding of how bacterial motility in complex environments impacts their ability to tolerate antibiotics and adhere to mammalian cell surfaces. The challenge lies in unraveling the complexity of these interactions and developing quantitative microscopy approaches to predict the behavior of bacterial populations.

resultsTo address this challenge, we directed our efforts towards Pseudomonas aeruginosa, a pathogenic bacterium known for producing thick films in the lungs of cystic fibrosis patients, and Escherichia coli, used as a proof of concept to develop and demonstrate our single-cell tracking approaches. Our results revealed that P. aeruginosa exhibits diverse and complex interactions on mammalian cell surfaces, such as adhesion, rotational motion, and swimming, unlike the less interactive behavior of Escherichia coli. Our analysis indicated that P. aeruginosa demonstrated lower mean-squared displacement (MSD) values and greater adherence to mammalian cells compared to E. coli, which showed higher MSD slopes and less frequent adherence. Genetic mutations in membrane proteins of P. aeruginosa resulted in altered displacement patterns and reduced adhesion, with the ΔfliD mutant displaying a more Gaussian displacement distribution and significantly less adherence to mammalian cells. Adhesion and tolerance mechanisms are diverse and complex, potentially involving distinct pathways; however, our findings highlight the therapeutic potential of targeting the fliD gene (encoding a critical flagellum protein), as its deletion not only reduced adherence but also antibiotic tolerance.

conclusionsOverall, our findings underscore the importance of single cell tracking in accurately assessing bacterial behavior over short time periods and highlight its significant potential in guiding effective intervention strategies.

Indexed as

Escherichia coliPseudomonas aeruginosaSingle-Cell AnalysisAnimalsBacterial AdhesionCell TrackingHumansAntibiotic toleranceBacterial adhesionBacterial motilityHost–pathogen interactionsLung cellsSingle-cell trackingSkin cells

Identifiers

PMID39523331
PMCPMC11552363

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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.