Evidence map›Paper›PMID 26185072›Full record

SynthesisMicrobiology spectrum2015

Antimicrobial Tolerance in Biofilms.

Philip S Stewart

Abstract readMeta-Analysis
In one paragraph

Synthesis in Microbiology spectrum, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 248 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
248citing papers in PubMed, 2 pooled it
–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

248 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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188 more citing papers are in PubMed but not listed here.

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

1 author.

Philip S StewartCenter for Biofilm Engineering, Montana State University, Bozeman, MT 59717.

Funding

Spatiotemporal Distribution of Oxygen in Biofilm InfectionsR01GM109452 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI STEWART, PHILIP S · 2013 to 2015
$891k
NIGMS NIH HHS R01 GM109452
6 · The paper itself

Abstract

The tolerance of microorganisms in biofilms to antimicrobial agents is examined through a meta-analysis of literature data. A numerical tolerance factor comparing the rates of killing in the planktonic and biofilm states is defined to provide a quantitative basis for the analysis. Tolerance factors for biocides and antibiotics range over three orders of magnitude. This variation is not explained by taking into account the molecular weight of the agent, the chemistry of the agent, the substratum material, or the speciation of the microorganisms. Tolerance factors do depend on the areal cell density of the biofilm at the time of treatment and on the age of the biofilm as grown in a particular experimental system. This suggests that there is something that happens during biofilm maturation, either physical or physiological, that is essential for full biofilm tolerance. Experimental measurements of antimicrobial penetration times in biofilms range over orders of magnitude, with slower penetration (>12 min) observed for reactive oxidants and cationic molecules. These agents are retarded through the interaction of reaction, sorption, and diffusion. The specific physiological status of microbial cells in a biofilm contributes to antimicrobial tolerance. A conceptual framework for categorizing physiological cell states is discussed in the context of antimicrobial susceptibility. It is likely that biofilms harbor cells in multiple states simultaneously (e.g., growing, stress-adapted, dormant, inactive) and that this physiological heterogeneity is an important factor in the tolerance of the biofilm state.

Indexed as

Anti-Bacterial AgentsBacteriaBiofilmsDisinfectantsDrug Resistance, BacterialMicrobial Sensitivity TestsAnti-Bacterial AgentsDisinfectants

Identifiers

PMID26185072
PMCPMC4507308

What OpenQuestion holds

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LicenceTDM
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.