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- Title
Metabolomics study in severe extracranial carotid artery stenosis.
- Authors
Lee, Tsong-Hai; Cheng, Mei-Ling; Shiao, Ming-Shi; Lin, Chia-Ni
- Abstract
<bold>Background: </bold>Significant genetic association has been found in patients with severe carotid artery stenosis (CAS). The present study wished to investigate if metabolites may also act as biomarkers for CAS.<bold>Methods: </bold>Consecutive patients with at least one carotid artery stenosis > = 60% on cerebral angiography were prospectively recruited from May 2007 to January 2016. Normal controls were recruited from outpatient clinic who had no stroke and coronary artery disease (CAD) history, and the brain magnetic resonance or computed tomographic angiography showed bilateral CAS < 30%. Risk factor profile, clinical characteristics, age, and clinical features were recorded. All subjects were male, and none had diabetes. 1H-NMR spectroscopy-based metabolomics analysis was carried out for plasma samples.<bold>Results: </bold>Totally, 130 male subjects were recruited. Age had no significant difference between the controls and CAS group (60.2 ± 5.9 vs. 63.3 ± 6.0, p = 0.050). The CAS group had significantly higher frequency of CAD, hypertension, smoking and alcohol but lower body mass index than the controls (p < 0.05). The laboratory tests showed CAS group had significantly higher level of homocysteine but lower levels of cholesterol, high-density lipoprotein and hemoglobin than the controls (p < 0.05). The 1H-NMR based plasma metabolomics analysis indicated that choline was significantly lower in CAS patients. The VIP values of lipids were greater than 1.0, which were considered significantly different.<bold>Conclusions: </bold>Our results suggest homocysteine, choline and lipids in association with traditional risk factors may be involved in the pathogenesis of CAS. Diet adjustment to control homocysteine, choline and lipids may be helpful for the prevention of CAS.
- Subjects
CAROTID artery; ARTERIAL stenosis; STROKE; METABOLOMICS; CEREBRAL angiography; BODY mass index
- Publication
BMC Neurology, 2019, Vol 19, Issue 1, p1
- ISSN
1471-2377
- Publication type
journal article
- DOI
10.1186/s12883-019-1371-x