ArticlemBio2015
Intrinsic Antimicrobial Resistance Determinants in the Superbug Pseudomonas aeruginosa.
Article in mBio, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
What it found
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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.
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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.
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Who cites it
61 citing papers in PubMed.
- The impact of modulator therapy on theProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Dual roles of genes required for intrinsic resistance to clarithromycin in evasion of killing by serum complement inInfection and immunity · 2026Article
- Genome-wide network of antibiotic susceptibility in Pseudomonas aeruginosa.The Journal of antimicrobial chemotherapy · 2026Article
- Structural and Computational Analysis ofBiomolecules · 2026Article
- Genomic variants distinguish Pseudomonas aeruginosa from cystic fibrosis sputum and bloodstream infection.BMC infectious diseases · 2026Article
- Structural and Computational Analysis ofbioRxiv : the preprint server for biology · 2025Article
- The role of colony morphotype in shaping gene essentiality inProceedings of the National Academy of Sciences of the United States of America · 2025Article
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- Modern antiseptics against multidrug-resistantFrontiers in microbiology · 2025Article
- Uncovering a new family of conserved virulence factors that promote the production of host-damaging outer membrane vesicles in gram-negative bacteria.Journal of extracellular vesicles · 2025Article
- Perturbation-specific transcriptional mapping for unbiased target elucidation of antibiotics.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
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- A role for the stringent response in ciprofloxacin resistance in Pseudomonas aeruginosa.Scientific reports · 2024Article
- The Pseudomonas aeruginosa Resistome: Permanent and Transient Antibiotic Resistance, an Overview.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Recent advances in gene-editing approaches for tackling antibiotic resistance threats: a review.Frontiers in cellular and infection microbiology · 2024Review
- Identification of complex III, NQR, and SDH as primary bioenergetic enzymes during the stationary phase ofFrontiers in microbiology · 2024Article
- Application of CRISPR-Cas System to Mitigate Superbug Infections.Microorganisms · 2023Review
- Nisin Z Potential for the Control of Diabetic Foot Infections Promoted byAntibiotics (Basel, Switzerland) · 2023Article
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1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
unlabelledAntimicrobial-resistant bacteria pose a serious threat in the clinic. This is particularly true for opportunistic pathogens that possess high intrinsic resistance. Though many studies have focused on understanding the acquisition of bacterial resistance upon exposure to antimicrobials, the mechanisms controlling intrinsic resistance are not well understood. In this study, we subjected the model opportunistic superbug Pseudomonas aeruginosa to 14 antimicrobials under highly controlled conditions and assessed its response using expression- and fitness-based genomic approaches. Our results reveal that gene expression changes and mutant fitness in response to sub-MIC antimicrobials do not correlate on a genomewide scale, indicating that gene expression is not a good predictor of fitness determinants. In general, fewer fitness determinants were identified for antiseptics and disinfectants than for antibiotics. Analysis of gene expression and fitness data together allowed the prediction of antagonistic interactions between antimicrobials and insight into the molecular mechanisms controlling these interactions. IMPORTANCE: Infections involving multidrug-resistant pathogens are difficult to treat because the therapeutic options are limited. These infections impose a significant financial burden on infected patients and on health care systems. Despite years of antimicrobial resistance research, we lack a comprehensive understanding of the intrinsic mechanisms controlling antimicrobial resistance. This work uses two fine-scale genomic approaches to identify genetic loci important for antimicrobial resistance of the opportunistic pathogen Pseudomonas aeruginosa. Our results reveal that antibiotics have more resistance determinants than antiseptics/disinfectants and that gene expression upon exposure to antimicrobials is not a good predictor of these resistance determinants. In addition, we show that when used together, genomewide gene expression and fitness profiling can provide mechanistic insights into multidrug resistance mechanisms.
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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.