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Discovery of Metabolite Biomarkers for Acute Ischemic Stroke Progression
- Source :
- Journal of Proteome Research. 16:773-779
- Publication Year :
- 2017
- Publisher :
- American Chemical Society (ACS), 2017.
-
Abstract
- Stroke remains a major public health problem worldwide; it causes severe disability and is associated with high mortality rates. However, early diagnosis of stroke is difficult, and no reliable biomarkers are currently established. In this study, mass-spectrometry-based metabolomics was utilized to characterize the metabolic features of the serum of patients with acute ischemic stroke (AIS) to identify novel sensitive biomarkers for diagnosis and progression. First, global metabolic profiling was performed on a training set of 80 human serum samples (40 cases and 40 controls). The metabolic profiling identified significant alterations in a series of 26 metabolites with related metabolic pathways involving amino acid, fatty acid, phospholipid, and choline metabolism. Subsequently, multiple algorithms were run on a test set consisting of 49 serum samples (26 cases and 23 controls) to develop different classifiers for verifying and evaluating potential biomarkers. Finally, a panel of five differential metabolites, including serine, isoleucine, betaine, PC(5:0/5:0), and LysoPE(18:2), exhibited potential to differentiate AIS samples from healthy control samples, with area under the receiver operating characteristic curve values of 0.988 and 0.971 in the training and test sets, respectively. These findings provided insights for the development of new diagnostic tests and therapeutic approaches for AIS.
- Subjects :
- Male
0301 basic medicine
Metabolite
Bioinformatics
Biochemistry
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Metabolomics
Serine
Humans
Medicine
Isoleucine
Acute ischemic stroke
Aged
Training set
business.industry
General Chemistry
Middle Aged
Serum samples
Betaine
Stroke
Metabolic pathway
Early Diagnosis
030104 developmental biology
ROC Curve
chemistry
Potential biomarkers
Disease Progression
Metabolome
Female
business
METABOLIC FEATURES
Biomarkers
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15353907 and 15353893
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Journal of Proteome Research
- Accession number :
- edsair.doi.dedup.....cabecdadab9a0819753621b138eb9802