Evidence map›Paper›PMID 38680311›Full record

ArticleACS omega2024

Charge-Based Isolation of Extracellular Vesicles from Human Plasma.

Woojin Back, Minseo Bang, Jik-Han Jung, Ka-Won Kang, Byeong Hyeon Choi, Yeonho Choi, Sunghoi Hong, Hyun Koo Kim, Yong Park, Ji-Ho Park

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
  4. Review
  5. Article
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  7. 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

10 authors.

Woojin BackDepartment of Bio and Brain Engineering and KAIST Institute for Health Science and Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.
Minseo BangDepartment of Bio and Brain Engineering and KAIST Institute for Health Science and Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.
Jik-Han JungDepartment of Bio and Brain Engineering and KAIST Institute for Health Science and Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.
Ka-Won KangDivision of Hematology-Oncology, Department of Internal Medicine, Korea University College of Medicine, Seoul 02841, Republic of Korea.
Byeong Hyeon ChoiDepartment of Thoracic and Cardiovascular Surgery and Department of Biomedical Sciences, Korea University College of Medicine, Seoul 08308, Republic of Korea.
Yeonho ChoiDepartment of Biomedical Engineering, Korea University, Seoul 02841, Republic of Korea.ORCID https://orcid.org/0000-0003-2018-3599
Sunghoi HongSchool of Biosystems and Biomedical Sciences, Korea University, Seoul 02841, Republic of Korea.
Hyun Koo KimDepartment of Thoracic and Cardiovascular Surgery and Department of Biomedical Sciences, Korea University College of Medicine, Seoul 08308, Republic of Korea.ORCID https://orcid.org/0000-0001-7604-4729
Yong ParkDivision of Hematology-Oncology, Department of Internal Medicine, Korea University College of Medicine, Seoul 02841, Republic of Korea.
Ji-Ho ParkDepartment of Bio and Brain Engineering and KAIST Institute for Health Science and Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.ORCID https://orcid.org/0000-0002-0721-0428

Funding

NIEHS NIH HHS 27398C0007
6 · The paper itself

Abstract

Extracellular vesicles (EVs) have garnered significant attention due to their potential applications in disease diagnostics and management. However, the process of isolating EVs, primarily from blood samples, is still suboptimal. This is mainly attributed to the abundant nature of soluble proteins and lipoproteins, which are often separated together with EVs in the end products of conventional isolation methods. As such, we devise a single-step charge-based EV isolation method by utilizing positively charged beads to selectively remove negatively charged major impurities from human plasma via electrostatic interaction. By carefully controlling the buffer pH, we successfully collected EVs from undesired plasma components with superior purity and yield compared to conventional EV collection methods. Moreover, the developed process is rapid, taking only about 20 min for overall EV isolation. The charge-based isolation can ultimately benefit the EV-based liquid biopsy field for the early diagnosis of various diseases.

Identifiers

PMID38680311
PMCPMC11044138

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.