Evidence map›Paper›PMID 21199928›Full record

ArticleAntimicrobial agents and chemotherapy2011

Selective advantage of resistant strains at trace levels of antibiotics: a simple and ultrasensitive color test for detection of antibiotics and genotoxic agents.

Anne Liu, Amie Fong, Elinne Becket, Jessica Yuan, Cindy Tamae, Leah Medrano, Maria Maiz, Christine Wahba, Catherine Lee, Kim Lee and 5 more

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
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

58 citing papers in PubMed, 156 citations in OpenAlex.

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  7. Development of anFrontiers in microbiology · 2024
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  19. Stepwise accumulation of mutations in CesA3 inEvolutionary applications · 2021
    Article
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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

15 authors at 2 institutions in 2 countries.

Anne LiuDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095, USA.
Amie Fong
Elinne Becket
Jessica Yuan
Cindy Tamae
Leah Medrano
Maria Maiz
Christine Wahba
Catherine Lee
Kim Lee
Katherine P Tran
Hanjing Yang
Robert M Hoffman
Anya Salih
Jeffrey H Miller
University of California, San Diego · USWestern Sydney University · AU

Funding

EFFECTS OF SO2 AND RESPIRABLE PARTICULATES ON HEALTHR01ES001108 · NIEHS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI DOCKERY, DOUGLAS W · 1985 to 1992
–
NIEHS NIH HHS ES0110875
6 · The paper itself

Abstract

Many studies have examined the evolution of bacterial mutants that are resistant to specific antibiotics, and many of these focus on concentrations at and above the MIC. Here we ask for the minimum concentration at which existing resistant mutants can outgrow sensitive wild-type strains in competition experiments at antibiotic levels significantly below the MIC, and we define a minimum selective concentration (MSC) in Escherichia coli for two antibiotics, which is near 1/5 of the MIC for ciprofloxacin and 1/20 of the MIC for tetracycline. Because of the prevalence of resistant mutants already in the human microbiome, allowable levels of antibiotics to which we are exposed should be below the MSC. Since this concentration often corresponds to low or trace levels of antibiotics, it is helpful to have simple tests to detect such trace levels. We describe a simple ultrasensitive test for detecting the presence of antibiotics and genotoxic agents. The test is based on the use of chromogenic proteins as color markers and the use of single and multiple mutants of Escherichia coli that have greatly increased sensitivity to either a wide range of antibiotics or specific antibiotics, antibiotic families, and genotoxic agents. This test can detect ciprofloxacin at 1/75 of the MIC.

Indexed as

ColorAnti-Bacterial AgentsEscherichia coliMicrobial Sensitivity TestsAnti-Bacterial Agents

Identifiers

PMID21199928
PMCPMC3067110
OpenAlexW2113774740

What OpenQuestion holds

Textmetadata
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.