Identification of three potential novel biomarkers for early diagnosis of acute ischemic stroke via plasma lipidomics

Introduction Acute ischemic stroke (AIS) accounts for the majority of all stroke, globally the second leading cause of death. Due to its rapid development after onset, its early diagnosis is crucial. Objectives We aim to identify potential highly reliable blood-based biomarkers for early diagnosis o...

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Bibliographic Details
Published in:Metabolomics 2023-03, Vol.19 (4), p.32-32, Article 32
Main Authors: Yu, Yi, Wen, Xue, Lin, Jin-Guang, Liu, Jun, Liang, Hong-Feng, Lin, Shan-Wen, Xu, Qiu-Gui, Li, Ji-Cheng
Format: Article
Language:English
Subjects:
Biochemistry
Biomarkers
Biomedical and Life Sciences
Biomedicine
Cell Biology
Developmental Biology
Diagnosis
Early Diagnosis
Humans
Ischemia
Ischemic Stroke
Learning algorithms
Life Sciences
Lipid metabolism
Lipidomics
Lipids
Liquid chromatography
Machine learning
Mass spectroscopy
Metabolites
Metabolomics
Molecular Medicine
Necroptosis
Original Article
Stroke
Thermogenesis
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Summary:Introduction Acute ischemic stroke (AIS) accounts for the majority of all stroke, globally the second leading cause of death. Due to its rapid development after onset, its early diagnosis is crucial. Objectives We aim to identify potential highly reliable blood-based biomarkers for early diagnosis of AIS using quantitative plasma lipid profiling via a machine learning approach. Methods Lipidomics was used for quantitative plasma lipid profiling, based on ultra-performance liquid chromatography tandem mass spectrometry. Our samples were divided into a discovery and a validation set, each containing 30 AIS patients and 30 health controls (HC). Differentially expressed lipid metabolites were screened based on the criteria VIP > 1, p  1.5 or 
ISSN:1573-3890
1573-3882
1573-3890
DOI:10.1007/s11306-023-01990-3