N‐glycome Profile Levels Relate to Silent Brain Infarcts in a Cohort of Hypertensives

Autor: Claude Libert, Sylviane Dewaele, Valerie Vanhooren, Pilar Delgado, Anna Penalba, Andrea Vilar-Bergua, Iolanda Riba-Llena, Joan Montaner
Rok vydání: 2015
Předmět:
Male
HEMODIALYSIS
Aging
Pathology
CEREBRAL INFARCTION
silent brain infarct
Gastroenterology
Cohort Studies
SMALL VESSEL DISEASE
MARKERS
Leukoencephalopathies
Risk Factors
Odds Ratio
White matter hyperintensities
Medicine
Glycomics
Stroke
Original Research
medicine.diagnostic_test
Cerebral infarction
white matter hyperintensities
Middle Aged
Magnetic Resonance Imaging
PREVALENCE
Hypertension
Cohort
biomarker
Female
Cardiology and Cardiovascular Medicine
Cohort study
Brain Infarction
medicine.medical_specialty
BIOMARKERS
AGE
RISK-FACTOR
Polysaccharides
Predictive Value of Tests
Internal medicine
Silent brain infarct
Humans
Dementia
Aged
Chi-Square Distribution
business.industry
aging
Biology and Life Sciences
N-glycome profile
Magnetic resonance imaging
Biomarker
Odds ratio
medicine.disease
Hyperintensity
N‐glycome profile
Logistic Models
Asymptomatic Diseases
Linear Models
business
Biomarkers
Zdroj: Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
JOURNAL OF THE AMERICAN HEART ASSOCIATION
ISSN: 2047-9980
DOI: 10.1161/jaha.115.002669
Popis: Background Silent brain infarcts ( SBI s) are highly prevalent in the aged population and relate to the occurrence of further stroke and dementia. Serum N‐glycome levels have been previously associated with aging and they might be related as well to the presence of SBI s and age‐related white matter hyperintensities. Methods and Results We determined the serum N‐glycome profile in a cohort study comprising 972 subjects and evaluated the relationship between N‐glycome levels and the presence and number of SBI s and with age‐related white matter hyperintensities grades, assessed by brain magnetic resonance imaging. Decreasing concentrations of bigalacto core‐α‐1,6‐fucosylated biantennary glycan and increasing concentrations of branching α‐1,3‐fucosylated triantennary glycan remained as independent predictors of SBI s (odds ratio 0.4, 95% CI 0.3–0.7 and odds ratio 1.8, 95% CI 1–3.2, respectively), after controlling for the presence of age and classic vascular risk factors. A similar pattern was found to be related to an increasing number of SBI s and white matter hyperintensities grade. Conclusions N‐glycome levels might be potentially useful as biomarkers for the presence of silent cerebrovascular disease.
Databáze: OpenAIRE
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