Evidence map›Paper›PMID 40672462›Full record

ArticleFrontiers in neurology2025

Identification of stroke biomarkers using proteomic profiling of extracellular vesicles derived from human blood: a preliminary study.

Tae Yeon Kim, Jae Yeon Park, Yun Seo Cho, Dong Hyuk Youn, Sung Woo Han, Harry Jung, Yong-Jun Cho, In Cheol Jeong, Jin Pyeong Jeon, Kangeun Ko and 1 more

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Article in Frontiers in neurology, 2025. 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Tae Yeon Kim *Department of Physical Education, Seoul National University, Seoul, Republic of Korea.
Jae Yeon Park *Department of Physical Education, Seoul National University, Seoul, Republic of Korea.
Yun Seo ChoDepartment of Physical Education, Seoul National University, Seoul, Republic of Korea.
Dong Hyuk YounInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Sung Woo HanInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Harry JungInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Yong-Jun ChoDepartment of Neurosurgery, Hallym University College of Medicine, Chuncheon, Republic of Korea.
In Cheol JeongDepartment of Artificial Intelligence Convergence, Hallym University, Chuncheon, Republic of Korea.
Jin Pyeong JeonDepartment of Neurosurgery, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Kangeun KoDepartment of Physical Education, Seoul National University, Seoul, Republic of Korea.
Hyo Youl MoonDepartment of Physical Education, Seoul National University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Stroke is a devastating brain disease that causes extensive neurological impairment and high mortality. Rapid diagnosis and intervention of stroke are necessary to minimize neurological damage and improve recovery. Extracellular vesicles (EVs) have been identified as potential biomarkers for stroke, suggesting promising avenues for rapid diagnosis and prognostic assessments. Methods: This preliminary study aimed to evaluate the potential of EVs as biomarkers in the distinct pathophysiological mechanisms of hemorrhagic stroke (HS) and ischemic stroke (IS). We have identified proteins differentially expressed in EVs derived from the blood of HS and IS patients. EVs were isolated using an isolation kit, followed by proteomic analysis by LC-MS/MS to compare protein expression patterns. Results: As a result, 15 proteins were upregulated and 4 downregulated in HS-derived EVs, and 14 proteins were upregulated and 5 downregulated in IS-derived EVs. Among these, 14 proteins were commonly upregulated and 1 protein was commonly downregulated in both stroke types, whereas the remaining proteins exhibited stroke-type-specific expression patterns. To further explore the proteomic findings, we confirmed the increased levels of CRP and PF4 in HS patients using ELISA, verifying their elevation in patient blood samples. Discussion: Although this additional evaluation was conducted only for HS, these findings suggest that EV-derived proteins have potential as biomarkers for both HS and IS, supporting their broader applicability in stroke diagnosis.

Indexed as

biomarkerextracellular vesicleshemorrhagic strokeischemic strokeproteomics

Identifiers

PMID40672462
PMCPMC12265495

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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.