Evidence map›Paper›PMID 23628237›Full record

ArticleMathematical biosciences2013

Modeling the response of a biofilm to silver-based antimicrobial.

A E Stine, D Nassar, J K Miller, C B Clemons, J P Wilber, G W Young, Y H Yun, C L Cannon, J G Leid, W J Youngs and 1 more

Abstract read
In one paragraph

Article in Mathematical biosciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Drug delivery strategies for antibiofilm therapy.Nature reviews. Microbiology · 2023
    Review
  2. Nanoparticle deposition onto biofilms.Annals of biomedical engineering · 2013
    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

11 authors.

A E StineThe University of Akron, Department of Mathematics, Akron, OH 44325-4002, USA.
D Nassar
J K Miller
C B Clemons
J P Wilber
G W Young
Y H Yun
C L Cannon
J G Leid
W J Youngs
A Milsted

Funding

Collaborative Research: Polymeric Drug Delivery Systems and Biofilms in the LungR01GM086895 · NIGMS · UNIVERSITY OF AKRON · PI YOUNG, GERALD W · 2008 to 2011
$1.5M
NIGMS NIH HHS R01 GM086895
6 · The paper itself

Abstract

Biofilms are found within the lungs of patients with chronic pulmonary infections, in particular patients with cystic fibrosis, and are the major cause of morbidity and mortality for these patients. The work presented here is part of a large interdisciplinary effort to develop an effective drug delivery system and treatment strategy to kill biofilms growing in the lung. The treatment strategy exploits silver-based antimicrobials, in particular, silver carbene complexes (SCC). This manuscript presents a mathematical model describing the growth of a biofilm and predicts the response of a biofilm to several basic treatment strategies. The continuum model is composed of a set of reaction-diffusion equations for the transport of soluble components (nutrient and antimicrobial), coupled to a set of reaction-advection equations for the particulate components (living, inert, and persister bacteria, extracellular polymeric substance, and void). We explore the efficacy of delivering SCC both in an aqueous solution and in biodegradable polymer nanoparticles. Minimum bactericidal concentration (MBC) levels of antimicrobial in both free and nanoparticle-encapsulated forms are estimated. Antimicrobial treatment demonstrates a biphasic killing phenomenon, where the active bacterial population is killed quickly followed by a slower killing rate, which indicates the presence of a persister population. Finally, our results suggest that a biofilm with a ready supply of nutrient throughout its depth has fewer persister bacteria and hence may be easier to treat than one with less nutrient.

Indexed as

Models, BiologicalAnti-Bacterial AgentsBiofilmsHumansNanocapsulesPolymersSilverAnti-Bacterial AgentsNanocapsulesPolymersSilver

Identifiers

PMID23628237
PMCPMC3697101

What OpenQuestion holds

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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.