Evidence map›Paper›PMID 31145726›Full record

ArticlePLoS biology2019

Rapid ultrasensitive detection platform for antimicrobial susceptibility testing.

Mehmet F Cansizoglu, Yusuf Talha Tamer, Michael Farid, Andrew Y Koh, Erdal Toprak

Abstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
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  11. Rapid Methods for Antimicrobial Resistance Diagnostics.Antibiotics (Basel, Switzerland) · 2021
    Review
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  13. 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

5 authors.

Mehmet F CansizogluGreen Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.ORCID 0000-0003-0164-0459
Yusuf Talha TamerGreen Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.ORCID 0000-0002-5901-842X
Michael FaridDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.ORCID 0000-0002-6734-9931
Andrew Y KohDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.ORCID 0000-0003-2172-5126
Erdal ToprakGreen Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.ORCID 0000-0002-4883-7681

Funding

Mapping epistatic interactions in molecular evolution of antibiotic resistanceR01GM125748 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Erdal Toprak · 2018 to 2026
$3.6M
Candida Albicans Gastrointestinal Colonization and DisseminationR01AI123163 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI KOH, ANDREW · 2016 to 2020
$2.0M
NIAID NIH HHS R01 AI123163NIGMS NIH HHS R01 GM125748
6 · The paper itself

Abstract

Rapid detection and phenotyping of pathogenic microbes is critical for administration of effective antibiotic therapies and for impeding the spread of antibiotic resistance. Here, we present a novel platform, rapid ultrasensitive detector (RUSD), that utilizes the high reflectance coefficient at high incidence angles when light travels from low- to high-refractive-index media. RUSD leverages a principle that does not require complex manufacturing, labeling, or processing steps. Utilizing RUSD, we can detect extremely low cell densities (optical density [OD] ≥ 5 × 10-7) that correspond to approximately 20 bacterial cells or a single fungal cell in the detection volume, which is nearly 4 orders of magnitude more sensitive than standard OD methods. RUSD can measure minimum inhibitory concentrations (MICs) of commonly used antibiotics against gram-negative and gram-positive bacteria, including Staphylococcus aureus, Pseudomonas aeruginosa, and Escherichia coli, within 2 to 4 h. Here, we demonstrate that antibiotic susceptibility tests for several pathogens can rapidly be performed with RUSD using both small inoculum sizes (500 cells/mL) and larger inoculum sizes (5 × 105 cells/mL) used in standard antibiotic susceptibility tests. We anticipate that the RUSD system will be particularly useful for the cases in which antibiotic susceptibility tests have to be done with a limited number of bacterial cells that are available. Its compatibility with standard antibiotic susceptibility tests, simplicity, and low cost can make RUSD a viable and rapidly deployed diagnostic tool.

Indexed as

Anti-Bacterial AgentsBacteriaColony Count, MicrobialFungiMicrobial Sensitivity TestsSensitivity and SpecificityAnti-Bacterial Agents

Identifiers

PMID31145726
PMCPMC6559665

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.