Evidence map›Paper›PMID 33747737›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021

Droplet-Based Single-Cell Measurements of 16S rRNA Enable Integrated Bacteria Identification and Pheno-Molecular Antimicrobial Susceptibility Testing from Clinical Samples in 30 min.

Aniruddha M Kaushik, Kuangwen Hsieh, Kathleen E Mach, Shawna Lewis, Christopher M Puleo, Karen C Carroll, Joseph C Liao, Tza-Huei Wang

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 53 citations in OpenAlex.

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  16. Advantage of precision metagenomics for urinary tract infection diagnostics.Frontiers in cellular and infection microbiology · 2023
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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

8 authors at 3 institutions in 1 country.

Aniruddha M KaushikDepartment of Mechanical Engineering Johns Hopkins University Baltimore MD 21218 USA.ORCID https://orcid.org/0000-0002-7329-624X
Kuangwen HsiehDepartment of Mechanical Engineering Johns Hopkins University Baltimore MD 21218 USA.
Kathleen E MachDepartment of Urology Stanford University School of Medicine Stanford CA 94305 USA.
Shawna LewisDivision of Medical Microbiology Department of Pathology Johns Hopkins University School of Medicine Baltimore MD 21287 USA.
Christopher M PuleoElectronics Organization GE Global Research Center Niskayuna NY 12309 USA.
Karen C CarrollDivision of Medical Microbiology Department of Pathology Johns Hopkins University School of Medicine Baltimore MD 21287 USA.
Joseph C LiaoDepartment of Urology Stanford University School of Medicine Stanford CA 94305 USA.
Tza-Huei WangDepartment of Mechanical Engineering Johns Hopkins University Baltimore MD 21218 USA.ORCID https://orcid.org/0000-0002-3540-9354
Johns Hopkins University · USStanford University · USGE Global Research (United States) · 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
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 AI137272
6 · The paper itself

Abstract

Empiric broad-spectrum antimicrobial treatments of urinary tract infections (UTIs) have contributed to widespread antimicrobial resistance. Clinical adoption of evidence-based treatments necessitates rapid diagnostic methods for pathogen identification (ID) and antimicrobial susceptibility testing (AST) with minimal sample preparation. In response, a microfluidic droplet-based platform is developed for achieving both ID and AST from urine samples within 30 min. In this platform, fluorogenic hybridization probes are utilized to detect 16S rRNA from single bacterial cells encapsulated in picoliter droplets, enabling molecular identification of uropathogenic bacteria directly from urine in as little as 16 min. Moreover, in-droplet single-bacterial measurements of 16S rRNA provide a surrogate for AST, shortening the exposure time to 10 min for gentamicin and ciprofloxacin. A fully integrated device and screening workflow were developed to test urine specimens for one of seven unique diagnostic outcomes including the presence/absence of Gram-negative bacteria, molecular ID of the bacteriaas

Indexed as

diagnosticsdropletsinfectious diseasemicrofluidicsurinary tract infections

Identifiers

PMID33747737
PMCPMC7967084
OpenAlexW3126429056

What OpenQuestion holds

Textmetadata
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.