title: Association of Aortic Compliance and Brachial Endothelial Function with Cerebral Small Vessel Disease in Type 2 Diabetes Mellitus Patients: Assessment with High-Resolution MRI.
abstract: Objective. To assess the possible association of aortic compliance and brachial endothelial function with cerebral small vessel disease in type 2 diabetes mellitus (DM2) patients by using 3.0 T high-resolution magnetic resonance imaging. Methods. Sixty-two clinically confirmed DM2 patients (25 women and 37 men; mean age: 56.8 ± 7.5 years) were prospectively enrolled for noninvasive MR examinations of the aorta, brachial artery, and brain. Aortic arch pulse wave velocity (PWV), flow-mediated dilation (FMD) of brachial artery, lacunar brain infarcts, and periventricular and deep white matter hyperintensities (WMHs) were assessed. Pearson and Spearman correlation analysis were performed to analyze the association between PWV and FMD with clinical data and biochemical test results. Univariable logistic regression analyses were used to analyze the association between PWV and FMD with cerebral small vessel disease. Multiple logistic regression analyses were used to find out the independent predictive factors of cerebral small vessel disease. Results. Mean PWV was 6.73 ± 2.00 m/s and FMD was 16.67 ± 9.11%. After adjustment for compounding factors, PWV was found significantly associated with lacunar brain infarcts (OR = 2.00; 95% CI: 1.14-3.2; P < 0.05) and FMD was significantly associated with periventricular WMHs (OR = 0.82; 95% CI: 0.71-0.95; P < 0.05). Conclusions. Quantitative evaluation of aortic compliance and endothelial function by using high-resolution MRI may be potentially useful to stratify DM2 patients with risk of cerebral small vessel disease.
authors.affiliation: Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Shan
authors.affiliation: Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China.
authors.forename: Jiang
authors.identifier: 0000-0002-6593-9700
authors.initials: J
authors.lastname: Lin
authors.affiliation: Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China.
authors.forename: Pengju
authors.identifier: 0000-0002-0832-083X
authors.initials: P
authors.lastname: Xu
authors.affiliation: Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China.
authors.forename: Mengsu
authors.initials: M
authors.lastname: Zeng
authors.affiliation: Department of Endocrinology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
authors.forename: Huandong
authors.initials: H
authors.lastname: Lin
authors.affiliation: Department of Endocrinology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
authors.forename: Hongmei
authors.initials: H
authors.lastname: Yan
mesh_terms: D000368:Aged; D001011:Aorta / Q000000981:diagnostic imaging* / Q000502:physiology / Q000503:physiopathology; D001013:Aorta, Thoracic / Q000503:physiopathology; D001783:Blood Flow Velocity; D001794:Blood Pressure; D001916:Brachial Artery / Q000000981:diagnostic imaging* / Q000502:physiology / Q000503:physiopathology; D020520:Brain Infarction / Q000000981:diagnostic imaging / Q000503:physiopathology; D059345:Cerebral Small Vessel Diseases / Q000000981:diagnostic imaging* / Q000503:physiopathology; D002560:Cerebrovascular Circulation; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000097:blood* / Q000150:complications* / Q000175:diagnosis / Q000503:physiopathology; D003971:Diastole; D042783:Endothelial Cells / Q000166:cytology*; D005260:Female; D006801:Humans; D006973:Hypertension / Q000150:complications / Q000503:physiopathology; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D063177:Pulse Wave Analysis; D012044:Regression Analysis; D066127:White Matter / Q000000981:diagnostic imaging / Q000503:physiopathology