ReviewPathogens and disease2014
Mimicking the host and its microenvironment in vitro for studying mucosal infections by Pseudomonas aeruginosa.
Review in Pathogens and disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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.
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.
Who cites it
35 citing papers in PubMed, 51 citations in OpenAlex.
- Pseudomonas aeruginosa: associated pathogenesis, epidemiology, resistance mechanisms, host response and emerging treatment strategies.Archives of microbiology · 2026Review
- Time-resolved dual transcriptomics ofBiofilm · 2025Article
- Establishment and characterization of persistentInfection and immunity · 2025Article
- New diagnostic methods forFrontiers in microbiology · 2025Article
- Context-dependent fitness benefits of antibiotic resistance mutations.Proceedings. Biological sciences · 2024Article
- Antibacterial peptide Reg4 amelioratesMicrobiology spectrum · 2024Article
- Antibiofilm and antivirulence activities of laminarin-gold nanoparticles in standard and host-mimicking media.Applied microbiology and biotechnology · 2024Article
- Phylogenetic evaluation and genotypic identification of burn-related Pseudomonas aeruginosa strains isolated from post-burn human infections during hospitalization.Pathogens and disease · 2024Article
- Genome-wide identification of genes critical forVirulence · 2023Article
- Antimicrobial Resistance Profile ofEthiopian journal of health sciences · 2023Article
- Protective role of CFTR during fungal infection of cystic fibrosis bronchial epithelial cells withFrontiers in cellular and infection microbiology · 2023Article
- Clinically relevantBiofilm · 2022Review
- Gene therapy for cystic fibrosis: new tools for precision medicine.Journal of translational medicine · 2021Review
- Three-Dimensional Culture ofInsects · 2021Article
- Deciphering the mechanism of action of antitubercular compounds with metabolomics.Computational and structural biotechnology journal · 2021Review
- Metabolic Modeling to Interrogate Microbial Disease: A Tale for Experimentalists.Frontiers in molecular biosciences · 2021Review
- Pseudomonas aeruginosa Volatilome Characteristics and Adaptations in Chronic Cystic Fibrosis Lung Infections.mSphere · 2020Article
- Sex Steroids Induce Membrane Stress Responses and Virulence Properties in Pseudomonas aeruginosa.mBio · 2020Article
- Interplay between host-microbe and microbe-microbe interactions in cystic fibrosis.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2020Review
- A three-dimensional intestinal tissue model reveals factors and small regulatory RNAs important for colonization with Campylobacter jejuni.PLoS pathogens · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Why is a healthy person protected from Pseudomonas aeruginosa infections, while individuals with cystic fibrosis or damaged epithelium are particularly susceptible to this opportunistic pathogen? To address this question, it is essential to thoroughly understand the dynamic interplay between the host microenvironment and P. aeruginosa. Therefore, using model systems that represent key aspects of human mucosal tissues in health and disease allows recreating in vivo host-pathogen interactions in a physiologically relevant manner. In this review, we discuss how factors of mucosal tissues, such as apical-basolateral polarity, junctional complexes, extracellular matrix proteins, mucus, multicellular complexity (including indigenous microbiota), and other physicochemical factors affect P. aeruginosa pathogenesis and are thus important to mimic in vitro. We highlight in vitro cell and tissue culture model systems of increasing complexity that have been used over the past 35 years to study the infectious disease process of P. aeruginosa, mainly focusing on lung models, and their respective advantages and limitations. Continued improvements of in vitro models based on our expanding knowledge of host microenvironmental factors that participate in P. aeruginosa pathogenesis will help advance fundamental understanding of pathogenic mechanisms and increase the translational potential of research findings from bench to the patient's bedside.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.