Evidence map›Paper›PMID 23451140›Full record

ArticlePloS one2013

A systems-level approach for investigating Pseudomonas aeruginosa biofilm formation.

Zhaobin Xu, Xin Fang, Thomas K Wood, Zuyi Jacky Huang

Abstract readValidation Study
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Rational Targeting and gRNA Design for Enhancing Quorum Quenching inComputational and structural biotechnology journal · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Biofilm-Associated Infections in Chronic Wounds and Their Management.Advances in experimental medicine and biology · 2023
    Article
  7. Role of Biofilm in Bacterial Infection and Antimicrobial Resistance.JNMA; journal of the Nepal Medical Association · 2022
    Article
  8. Article
  9. Article
  10. Sodium Selenite Enhances Antibiotics Sensitivity ofAntioxidants (Basel, Switzerland) · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. A systems biology approach to investigate the antimicrobial activity of oleuropein.Journal of industrial microbiology & biotechnology · 2016
    Article
  19. Article
  20. 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

4 authors.

Zhaobin XuDepartment of Chemical Engineering, Villanova University, Villanova, Pennsylvania, United States of America.
Xin Fang
Thomas K Wood
Zuyi Jacky Huang

Funding

Re-Wiring Cellular Metabolism to Control Biofilm Formation and Virulence BY...R01GM089999 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI WOOD, THOMAS K · 2009 to 2011
$846k
NIGMS NIH HHS R01 GM089999
6 · The paper itself

Abstract

Prevention of the initiation of biofilm formation is the most important step for combating biofilm-associated pathogens, as the ability of pathogens to resist antibiotics is enhanced 10 to 1000 times once biofilms are formed. Genes essential to bacterial growth in the planktonic state are potential targets to treat biofilm-associated pathogens. However, the biofilm formation capability of strains with mutations in these essential genes must be evaluated, since the pathogen might form a biofilm before it is eliminated. In order to address this issue, this work proposes a systems-level approach to quantifying the biofilm formation capability of mutants to determine target genes that are essential for bacterial metabolism in the planktonic state but do not induce biofilm formation in their mutants. The changes of fluxes through the reactions associated with the genes positively related to biofilm formation are used as soft sensors in the flux balance analysis to quantify the trend of biofilm formation upon the mutation of an essential gene. The essential genes whose mutants are predicted not to induce biofilm formation are regarded as gene targets. The proposed approach was applied to identify target genes to treat Pseudomonas aeruginosa infections. It is interesting to find that most essential gene mutants exhibit high potential to induce the biofilm formation while most non-essential gene mutants do not. Critically, we identified four essential genes, lysC, cysH, adk, and galU, that constitute gene targets to treat P. aeruginosa. They have been suggested by existing experimental data as potential drug targets for their crucial role in the survival or virulence of P. aeruginosa. It is also interesting to find that P. aeruginosa tends to survive the essential-gene mutation treatment by mainly enhancing fluxes through 8 metabolic reactions that regulate acetate metabolism, arginine metabolism, and glutamate metabolism.

Indexed as

BiofilmsSystems BiologyGenes, BacterialPseudomonas aeruginosa

Identifiers

PMID23451140
PMCPMC3579789

What OpenQuestion holds

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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.