Evidence map›Paper›PMID 33372757›Full record

ArticleAnalytical chemistry2021

Toward Decentralizing Antibiotic Susceptibility Testing via Ready-to-Use Microwell Array and Resazurin-Aided Colorimetric Readout.

Fan-En Chen, Aniruddha Kaushik, Kuangwen Hsieh, Emily Chang, Liben Chen, Pengfei Zhang, Tza-Huei Wang

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2021. 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
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Fan-En ChenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0001-6970-4370
Aniruddha KaushikDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Kuangwen HsiehDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0003-3730-4406
Emily ChangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Liben ChenDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0002-0648-2456
Pengfei ZhangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Tza-Huei WangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0002-3540-9354
Johns Hopkins University · US

Funding

A Droplet-based single cell platform for pathogen identification and ASTR01AI117032 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LIAO, JOSEPH C, WANG, TZA-HUEI JEFF · 2015 to 2019
$5.7M
Technology development for point-of-care detection and antimicrobial susceptibility testing of Neisseria gonorrhoeaeR01AI138978 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2018 to 2021
$5.1M
A "Culture" Shift: Integrated Bacterial Screening and Antibacterial Susceptibility Test on Microfluidic Digital Array for Bloodstream InfectionsR01AI137272 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF, YANG, SAMUEL · 2018 to 2022
$3.6M
NIAID NIH HHS R01 AI117032NIAID NIH HHS R01 AI137272NIAID NIH HHS R01 AI138978
6 · The paper itself

Abstract

In the face of the global threat from drug-resistant superbugs, there remains an unmet need for simple and accessible diagnostic tools that can perform important antibiotic susceptibility testing against pathogenic bacteria and guide antibiotic treatments outside of centralized clinical laboratories. As a potential solution to this important problem, we report herein the development of a microwell array-based resazurin-aided colorimetric antibiotic susceptibility test (marcAST). At the core of marcAST is a ready-to-use microwell array device that is preassembled with custom titers of various antibiotics and splits bacterial samples upon a simple syringe injection step to initiate AST against all antibiotics. We also employ resazurin, which changes from blue to pink in the presence of growing bacteria, to accelerate and enable colorimetric readout in our AST. Even with its simplicity, marcAST can accurately measure the minimum inhibitory concentrations of reference bacterial strains against common antibiotics and categorize the antibiotic susceptibilities of clinically isolated bacteria. With more characterization and refinement, we envision that marcAST can become a potentially useful tool for performing AST without trained personnel, laborious procedures, or bulky instruments, thereby decentralizing this important test for combating drug-resistant superbugs.

Indexed as

ColorimetryAnti-Bacterial AgentsOxazinesXanthenesAnti-Bacterial AgentsOxazinesresazurinXanthenes

Identifiers

PMID33372757
PMCPMC8552992
OpenAlexW3118234230

What OpenQuestion holds

Textmetadata
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.