Evidence map›Paper›PMID 30424239›Full record

ArticleMicromachines2018

Rapid Detection and Trapping of Extracellular Vesicles by Electrokinetic Concentration for Liquid Biopsy on Chip.

Lucia S Cheung, Sarah Sahloul, Ajymurat Orozaliev, Yong-Ak Song

Abstract read
In one paragraph

Article in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Exosome isolation using nanostructures and microfluidic devices.Biomedical materials (Bristol, England) · 2021
    Review
  8. Review
  9. Review
  10. Review
  11. A MoSNanoscale advances · 2019
    Article
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

4 authors.

Lucia S CheungDivision of Engineering, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE. lsc6@nyu.edu.
Sarah SahloulDivision of Engineering, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE. sms30@nyu.edu.
Ajymurat OrozalievDivision of Engineering, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE. ajymurat.orozaliev@nyu.edu.
Yong-Ak SongDivision of Engineering, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE. rafael.song@nyu.edu.ORCID 0000-0001-8066-2933

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes have gained immense importance since their proteomic and genetic contents could potentially be used for disease diagnostics, monitoring of cancer progression, metastasis, and drug efficacy. However, establishing the clinical utility of exosomes has been restricted due to small sizes and high sample loss from extensive sample preparation. Sample loss is particularly critical for body fluids limited in volume and difficult to access, e.g., cerebrospinal fluid. We present a microfluidic technique that locally enhances the concentration of extracellular vesicles extracted from MDA-MB-231 human breast cancer cell lines by using an ion concentration polarization (ICP)-based electrokinetic concentrator. Our design incorporates a trapping mechanism near the conductive polymer membrane; therefore, we can preconcentrate and capture extracellular vesicles simultaneously. Compared with standard fluorescence detection, our method increased the limit of detection (LOD) of extracellular vesicles by two orders of magnitude in 30 min. Our concentrator increased the extracellular vesicle concentration for 5.0 × 10⁷ particles/1 mL (LOD), 5.0 × 10⁸ particles/1 mL, and 5.0 × 10⁸ particles/1 mL by ~100-fold each within 30 min using 45 V. This study demonstrates an alternative platform to simultaneously preconcentrate and capture extracellular vesicles that can be incorporated as part of a liquid biopsy-on-a-chip system for the detection of exosomal biomarkers and analysis of their contents for early cancer diagnosis.

Indexed as

biomarkerselectrokinetic concentrationexosomesextracellular vesiclesion concentration polarizationliquid biopsy

Identifiers

PMID30424239
PMCPMC6187315

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.