Evidence map›Paper›PMID 32719382›Full record

ArticleScientific reports2020

Rapid isolation of rare targets from large fluid volumes.

Per Niklas Hedde, Margaux Bouzin, Timothy J Abram, Xiaoming Chen, Melody N Toosky, Tam Vu, Yiyan Li, Weian Zhao, Enrico Gratton

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Per Niklas Hedde *Department of Biomedical Engineering, University of California, Irvine, CA, USA. phedde@uci.edu.
Margaux Bouzin *Department of Biomedical Engineering, University of California, Irvine, CA, USA.
Timothy J AbramVelox Biosystems, Irvine, CA, USA.
Xiaoming ChenDepartment of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA, USA.
Melody N TooskyVelox Biosystems, Irvine, CA, USA.
Tam VuDepartment of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA, USA.
Yiyan LiDepartment of Physics and Engineering, Fort Lewis College, Durango, CO, USA.
Weian ZhaoDepartment of Biomedical Engineering, University of California, Irvine, CA, USA.
Enrico GrattonDepartment of Biomedical Engineering, University of California, Irvine, CA, USA.

Funding

TRD4: Phasor analysisP41GM103540 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GRATTON, ENRICO · 2012 to 2020
$12.5M
Integrated Comprehensive Droplet Digital Detection (IC 3D) system for rapid detection of bacteria andantimicrobial resistanceR01AI117061 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI ZHAO, WEIAN · 2015 to 2019
$5.1M
NIAID NIH HHS R01 AI117061NIGMS NIH HHS P41 GM103540
6 · The paper itself

Abstract

Rapidly isolating rare targets from larger, clinically relevant fluid volumes remains an unresolved problem in biomedicine and diagnosis. Here, we describe how 3D particle sorting can enrich targets at ultralow concentrations over 100-fold within minutes not possible with conventional approaches. Current clinical devices based on biochemical extraction and microfluidic solutions typically require high concentrations and/or can only process sub-milliliter volumes in time. In a proof-of-concept application, we isolated bacteria from whole blood as demanded for rapid sepsis diagnosis where minimal numbers of bacteria need to be found in a 1-10 mL blood sample. After sample encapsulation in droplets and target enrichment with the 3D particle sorter within a few minutes, downstream analyses were able to identify bacteria and test for antibiotic susceptibility, information which is critical for successful treatment of bloodstream infections.

Indexed as

BacteriaBloodHumansMicrofluidicsSepsis

Identifiers

PMID32719382
PMCPMC7385493

What OpenQuestion holds

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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.