Evidence map›Paper›PMID 32121214›Full record

ArticleJournal of clinical medicine2020

Rapid and Efficient Isolation of Exosomes by Clustering and Scattering.

Jinhyun Kim, Hoyoon Lee, KyongHwa Park, Sehyun Shin

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Isolation methods of exosomes derived from dental stem cells.International journal of oral science · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Exosome enrichment from human serum using polyethylene glycol precipitation.Journal of analytical science and technology · 2025
    Article
  9. Review
  10. Microorganisms · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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.

Jinhyun KimSchool of Mechanical engineering, Korea University, Seoul 02841, Korea.
Hoyoon LeeSchool of Mechanical engineering, Korea University, Seoul 02841, Korea.
KyongHwa ParkDepartment of Internal Medicine, Anam Hospital, Korea University, Seoul 02841, Korea.
Sehyun ShinSchool of Mechanical engineering, Korea University, Seoul 02841, Korea.

Funding

National Research Foundation of Korea 2016R1A5A1010148; 2015M3A9D7031026
6 · The paper itself

Abstract

Tumor-derived extracellular vesicles (EVs) have become important biomarkers of liquid biopsies for precision medicine. However, the clinical application of EVs has been limited due to the lack of EV isolation practical technology applicable to clinical environments. Here, we report an innovative EV isolation method, which is quick and simple, and facilitates high-yield and high-purity EV isolation from blood. Introducing a cationic polymer in plasma resulted in rapid clustering of anionic EVs and a chaotropic agent can separate EVs from these clusters. Isolated EVs were characterized in terms of size distribution, morphology, surface protein markers, and exosomal RNA. Through performance comparison with various methods, including ultracentrifugation (UC), the present method delivered the highest recovery rate (~20 folds that of UC) and purity ratio (3.5 folds that of UC) of EVs in a short period of time (<20 min). The proposed method is expected to be used in basic and applied research on EV isolation and in clinical applications.

Indexed as

bloodisolationliquid biopsypolymertumor-derive extracellular vesicles

Identifiers

PMID32121214
PMCPMC7141250

What OpenQuestion holds

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LicenceCC BY
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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.