Evidence map›Paper›PMID 32800126›Full record

ArticleAnalytica chimica acta2020

Phenotypically distinguishing ESBL-producing pathogens using paper-based surface enhanced Raman sensors.

Shannon H Hilton, Connor Hall, Hieu T Nguyen, Micaela L Everitt, Philip DeShong, Ian M White

Abstract read
In one paragraph

Article in Analytica chimica acta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Shannon H HiltonFischell Department of Bioengineering, 8278 Paint Branch Drive, University of Maryland, College Park, MD, USA.
Connor HallFischell Department of Bioengineering, 8278 Paint Branch Drive, University of Maryland, College Park, MD, USA.
Hieu T NguyenFischell Department of Bioengineering, 8278 Paint Branch Drive, University of Maryland, College Park, MD, USA.
Micaela L EverittFischell Department of Bioengineering, 8278 Paint Branch Drive, University of Maryland, College Park, MD, USA.
Philip DeShongDepartment of Chemistry and Biochemistry, 8051 Regents Drive, University of Maryland, College Park, MD, USA.
Ian M WhiteFischell Department of Bioengineering, 8278 Paint Branch Drive, University of Maryland, College Park, MD, USA. Electronic address: ianwhite@umd.edu.

Funding

Training Grant in Cancer BiologyT32CA154274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI Toni M Antalis, CURT I CIVIN · 2011 to 2026
$6.8M
NCI NIH HHS T32 CA154274
6 · The paper itself

Abstract

Antimicrobial stewardship practices are critical in preventing the further erosion of treatment options for bacterial infections. Yet, at the same time, determination of an infection's antimicrobial susceptibility requires multiple rounds of culture and expensive lab automation systems. In this work, we report the use of paper-based surface enhanced Raman spectroscopy (SERS) sensors and portable instrumentation to phenotypically discriminate multi-drug resistance with fewer culture steps than conventional clinical microbiology. Specifically, we demonstrate the identification of resistance to varying generations of β-lactam antibiotics by detecting the activity of particular β-lactamase enzymes in a multiplexed assay. The method utilizes molecular reporters that consist of β-lactams with SERS barcodes. Hydrolysis of the β-lactam by β-lactamase enzymes in the sample expels the barcode; the released sulfur-containing barcode is then detected via SERS. Using this approach, we demonstrate the differentiation of E. coli strains with (1) extended spectrum β-lactamase (ESBL), (2) narrow-spectrum β-lactamase, and (3) no resistance, using only a single measurement on a single sample. In addition, we experimentally validate an approach to expand the library of reporters through the simple chemical synthesis of new barcoded β-lactams. Importantly, the reported method determines the susceptibility based on phenotypic β-lactamase activity, which is aligned with current microbiology lab standards. This new method will enable the precise selection of effective β-lactam antibiotics (as opposed to defaulting to drugs of last resort) faster than current methods while using simple steps and low-cost portable instrumentation.

Indexed as

Escherichia coliEscherichia coli InfectionsAnti-Bacterial Agentsbeta-LactamasesHumansMicrobial Sensitivity TestsAnti-Bacterial Agentsbeta-LactamasesExtended spectrum β-lactamaseMulti-drug resistancePaperSurface-enhanced Raman spectroscopy

Identifiers

PMID32800126
PMCPMC10069952

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Registered trials

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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.