Evidence map›Paper›PMID 30806400›Full record

ArticleLab on a chip2019

Separating extracellular vesicles and lipoproteins via acoustofluidics.

Mengxi Wu, Chuyi Chen, Zeyu Wang, Hunter Bachman, Yingshi Ouyang, Po-Hsun Huang, Yoel Sadovsky, Tony Jun Huang

Erratum issuedAbstract read
In one paragraph

Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Review
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  11. Isolation methods of exosomes derived from dental stem cells.International journal of oral science · 2025
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
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  18. Programmable Acoustic Holography using Medium-Sound-Speed Modulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mengxi WuDepartment of Mechanical Engineering and Material Science, Duke University, Durham, NC 27707, USA. tony.huang@duke.edu.
Chuyi Chen
Zeyu Wang
Hunter Bachman
Yingshi Ouyang
Po-Hsun Huang
Yoel Sadovsky
Tony Jun Huang

Funding

Extracellular vesicles and their ncRNA cargo as markers of trophoblast injuryR01HD086325 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI SADOVSKY, YOEL · 2015 to 2019
$3.6M
An integrated acoustofluidic droplet-sorting platform for classification of lymphocyte activity and functional phenotyping at single cell levelR01GM127714 · NIGMS · NORTHEASTERN UNIVERSITY · PI KONRY, TANIA TALI · 2018 to 2021
$1.2M
NICHD NIH HHS R01 HD086325NIGMS NIH HHS R01 GM127714
6 · The paper itself

Abstract

Extracellular vesicles (EVs) and lipoproteins are abundant and co-exist in blood. Both have been proven to be valuable as diagnostic biomarkers and for therapeutics. However, EVs and lipoproteins are both on the submicron scale and overlap in size distributions. Conventional methods to separate EVs and lipoproteins are inefficient and time-consuming. Here we present an acoustofluidic-based separation technique that is based on the acoustic property differences of EVs and lipoproteins. By using the acoustofluidic technology, EVs and subgroups of lipoproteins are separated in a label-free, contact-free, and continuous manner. With its ability for simple, rapid, efficient, continuous-flow isolation, our acoustofluidic technology could be a valuable tool for health monitoring, disease diagnosis, and personalized medicine.

Indexed as

Lab-On-A-Chip DevicesAcousticsDimethylpolysiloxanesEquipment DesignExtracellular VesiclesHumansLipoproteinsNylonsTime FactorsDimethylpolysiloxanesLipoproteinsNylonspoly(dimethylsiloxane)-polyamide copolymer

Identifiers

PMID30806400
PMCPMC6453118

What OpenQuestion holds

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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.