Evidence map›Paper›PMID 34436090›Full record

ArticleBiosensors2021

A Rapid Single-Cell Antimicrobial Susceptibility Testing Workflow for Bloodstream Infections.

Britney Forsyth, Peter Torab, Jyong-Huei Lee, Tyler Malcom, Tza-Huei Wang, Joseph C Liao, Samuel Yang, Erik Kvam, Chris Puleo, Pak Kin Wong

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 31 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

10 authors at 4 institutions in 1 country.

Britney ForsythDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Peter TorabDepartment of Mechanical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Jyong-Huei LeeDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Tyler MalcomDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Tza-Huei WangDepartments of Mechanical Engineering and Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Joseph C LiaoDepartment of Urology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Samuel YangDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Erik KvamGE Global Research, Niskayuna, NY 12309, USA.
Chris PuleoGE Global Research, Niskayuna, NY 12309, USA.
Pak Kin WongDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Pennsylvania State University · USGE Global Research (United States) · USStanford University · USJohns Hopkins University · US

Funding

Changing Cultures in Sepsis: Rapid single-cell pathogen identification and antibiotic susceptibility testing directly from whole bloodR01AI153133 · NIAID · STANFORD UNIVERSITY · PI WONG, PAK KIN, YANG, SAMUEL · 2020 to 2024
$3.7M
Defense Threat Reduction Agency MCDC-RPP-18-01National Institute of Allergy and Infectious Diseases R01AI15313NIAID NIH HHS R01 AI153133
6 · The paper itself

Abstract

Bloodstream infections are a significant cause of morbidity and mortality worldwide. The rapid initiation of effective antibiotic treatment is critical for patients with bloodstream infections. However, the diagnosis of bloodborne pathogens is largely complicated by the matrix effect of blood and the lengthy blood tube culture procedure. Here we report a culture-free workflow for the rapid isolation and enrichment of bacterial pathogens from whole blood for single-cell antimicrobial susceptibility testing (AST). A dextran sedimentation step reduces the concentration of blood cells by 4 orders of magnitude in 20-30 min while maintaining the effective concentration of bacteria in the sample. Red blood cell depletion facilitates the downstream centrifugation-based enrichment step at a sepsis-relevant bacteria concentration. The workflow is compatible with common antibiotic-resistant bacteria and does not influence the minimum inhibitory concentrations. By applying a microfluidic single-cell trapping device, we demonstrate the workflow for the rapid determination of bacterial infection and antimicrobial susceptibility testing at the single-cell level. The entire workflow from blood to categorical AST result can be completed in less than two hours.

Indexed as

Microbial Sensitivity TestsWorkflowAnti-Bacterial AgentsBacteriaBacterial InfectionsHumansLab-On-A-Chip DevicesMicrofluidicsSepsisAnti-Bacterial Agentsdiagnosticsmicrofluidicsmultidrug-resistant bacteriasepsissingle-cell analysis

Identifiers

PMID34436090
PMCPMC8391654
OpenAlexW3194984501

What Socratic 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 Socratic graph.