Literature DB >> 32474899

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

Jiyeong Lee1, Sora Mun2,3, Arum Park2, Doojin Kim2, Yoo-Jin Lee2,3, Hyo-Jin Kim2,3, Hyebin Choi2,3, Miji Shin2,3, Soo Joo Lee4, Jae Guk Kim4, Yeon Tae Chun2, Hee-Gyoo Kang5,6,7.   

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.

Entities:  

Keywords:  Coagulation; Multiple reaction monitoring; Proteomics; SWATH-MS; Stroke

Mesh:

Substances:

Year:  2020        PMID: 32474899     DOI: 10.1007/s12031-020-01545-4

Source DB:  PubMed          Journal:  J Mol Neurosci        ISSN: 0895-8696            Impact factor:   3.444


  7 in total

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Authors:  Miji Shin; Sang Hyun Park; Sora Mun; Jiyeong Lee; Hee-Gyoo Kang
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Journal:  Cell Death Dis       Date:  2021-04-07       Impact factor: 8.469

4.  Proteomics-Based Approach to Identify Novel Blood Biomarker Candidates for Differentiating Intracerebral Hemorrhage From Ischemic Stroke-A Pilot Study.

Authors:  David Malicek; Ilka Wittig; Sebastian Luger; Christian Foerch
Journal:  Front Neurol       Date:  2021-12-17       Impact factor: 4.003

5.  Blood-based protein biomarkers for the diagnosis of acute stroke: A discovery-based SWATH-MS proteomic approach.

Authors:  Shubham Misra; Praveen Singh; Manabesh Nath; Divya Bhalla; Shantanu Sengupta; Amit Kumar; Awadh K Pandit; Praveen Aggarwal; Achal K Srivastava; Dheeraj Mohania; Kameshwar Prasad; Deepti Vibha
Journal:  Front Neurol       Date:  2022-09-27       Impact factor: 4.086

6.  Discovery of Screening Biomarkers for Major Depressive Disorder in Remission by Proteomic Approach.

Authors:  Hyebin Choi; Sora Mun; Eun-Jeong Joo; Kyu Young Lee; Hee-Gyoo Kang; Jiyeong Lee
Journal:  Diagnostics (Basel)       Date:  2021-03-17

7.  Discovery of NEU1 as a candidatedone. renal biomarker for proliferative lupus nephritis chronicity.

Authors:  Zhaomin Mao; Ying Tan; Feng Yu; Minghui Zhao
Journal:  Lupus Sci Med       Date:  2021-12
  7 in total

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