Evidence map›Paper›PMID 32474899›Full record

ArticleJournal of molecular neuroscience : MN2020

Proteomics Reveals Plasma Biomarkers for Ischemic Stroke Related to the Coagulation Cascade.

Jiyeong Lee, Sora Mun, Arum Park, Doojin Kim, Yoo-Jin Lee, Hyo-Jin Kim, Hyebin Choi, Miji Shin, Soo Joo Lee, Jae Guk Kim and 2 more

Abstract read
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In one paragraph

Article in Journal of molecular neuroscience : MN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

12 authors.

Jiyeong LeeDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Daejeon, Republic of Korea.
Sora MunDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Republic of Korea.
Arum ParkDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Republic of Korea.
Doojin KimDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Republic of Korea.
Yoo-Jin LeeDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Republic of Korea.
Hyo-Jin KimDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Republic of Korea.
Hyebin ChoiDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Republic of Korea.
Miji ShinDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Republic of Korea.
Soo Joo LeeDepartment of Neurology, Eulji University Hospital, School of Medicine, Eulji University, Daejeon, Republic of Korea.
Jae Guk KimDepartment of Neurology, Eulji University Hospital, School of Medicine, Eulji University, Daejeon, Republic of Korea.
Yeon Tae ChunDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Republic of Korea.
Hee-Gyoo KangDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Republic of Korea. kanghg@eulji.ac.kr.

Funding

National Research Foundation of Korea 2016M3A9B694241
6 · The paper itself

Abstract

Stroke has a high incidence rate and often leads to permanent disability, particularly if it is not treated promptly. However, no blood biomarkers for early diagnosis are available to date. Therefore, we sought to detect stroke-specific blood biomarkers by identifying proteins associated with the underlying coagulation mechanism, which accounts for more than 80% of all stroke cases. Protein profiling was performed using blood samples from 16 healthy controls and 18 patients who suffered a stroke as the discovery set. We identified upregulated proteins (> 1.5-fold change and p value < 0.05) in patients who suffered a stroke relative to the corresponding levels in healthy controls by nano-liquid chromatography-tandem mass spectrometry using data-independent acquisition based on sequential window acquisition of all theoretical mass spectra, which was developed to improve the consistency and accuracy of candidate proteins. Pathway analysis confirmed that the upregulated proteins were mainly involved in blood coagulation. Among these, we selected prothrombin, plasminogen, fibrinogen alpha-chain, and histidine-rich glycoprotein as candidate biomarkers. Multiple reaction monitoring analysis was performed on a validation set of 61 serum samples (31 healthy controls and 30 stroke patients) to assess the diagnostic value of the candidate biomarkers. All four proteins showed higher expression levels in patients with stroke than in healthy controls. The areas under the receiver operating characteristic curve were greater than 0.9, confirming their clinical value. These four blood coagulation proteins may help in diagnosing stroke more accurately and quickly.

Indexed as

BiomarkersBlood Coagulation FactorsFemaleHumansIschemic StrokeMaleMiddle AgedProteomeUp-RegulationBiomarkersBlood Coagulation FactorsProteomeCoagulationMultiple reaction monitoringProteomicsStrokeSWATH-MS

Identifiers

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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.