scholarly journals Association of Aortic Compliance and Brachial Endothelial Function with Cerebral Small Vessel Disease in Type 2 Diabetes Mellitus Patients: Assessment with High-Resolution MRI

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Yan Shan ◽  
Jiang Lin ◽  
Pengju Xu ◽  
Mengsu Zeng ◽  
Huandong Lin ◽  
...  
Keyword(s):  
High Resolution ◽  
Endothelial Function ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Regression Analyses ◽  
Aortic Compliance ◽  
Vessel Disease ◽  
High Resolution Mri

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±7.5years) 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 was6.73±2.00 m/s and FMD was16.67±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.

scholarly journals Circulating biologic markers of endothelial dysfunction in cerebral small vessel disease: A review

2015 ◽  
Vol 36 (1) ◽  
pp. 72-94 ◽  
Author(s):  
Anna Poggesi ◽  
Marco Pasi ◽  
Francesca Pescini ◽  
Leonardo Pantoni ◽  
Domenico Inzitari
Keyword(s):  
Endothelial Dysfunction ◽  
Endothelial Function ◽  
Small Vessel Disease ◽  
Brain Magnetic Resonance Imaging ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Perivascular Spaces ◽  
Vessel Disease ◽  
Brain Changes

The term cerebral small vessel disease (SVD) refers to a group of pathologic processes with various etiologies that affect small arteries, arterioles, venules, and capillaries of the brain. Magnetic resonance imaging (MRI) correlates of SVD are lacunes, recent small subcortical infarcts, white-matter hyperintensities, enlarged perivascular spaces, microbleeds, and brain atrophy. Endothelial dysfunction is thought to have a role in the mechanisms leading to SVD-related brain changes, and the study of endothelial dysfunction has been proposed as an important step for a better comprehension of cerebral SVD. Among available methods to assess endothelial function in vivo, measurement of molecules of endothelial origin in peripheral blood is currently receiving selective attention. These molecules include products of endothelial cells that change when the endothelium is activated, as well as molecules that reflect endothelial damage and repair. This review examines the main molecular factors involved in both endothelial function and dysfunction, and the evidence linking endothelial dysfunction with cerebral SVD, and gives an overview of clinical studies that have investigated the possible association between endothelial circulating biomarkers and SVD-related brain changes.

scholarly journals Causal Impact of Type 2 Diabetes Mellitus on Cerebral Small Vessel Disease

Stroke ◽  
2018 ◽  
Vol 49 (6) ◽  
pp. 1325-1331 ◽  
Author(s):  
Junfeng Liu ◽  
Loes Rutten-Jacobs ◽  
Ming Liu ◽  
Hugh S. Markus ◽  
Matthew Traylor
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Vessel Disease ◽  
Causal Impact

scholarly journals Correlation Between Retinal Microvascular Abnormalities and Total Magnetic Resonance Imaging Burden of Cerebral Small Vessel Disease in Patients With Type 2 Diabetes

2021 ◽  
Vol 15 ◽  
Author(s):  
Ying Zhang ◽  
Zhixiang Zhang ◽  
Min Zhang ◽  
Yin Cao ◽  
Wenwei Yun
Keyword(s):  
Magnetic Resonance Imaging ◽  
Type 2 Diabetes ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Diabetic Patients ◽  
Resonance Imaging ◽  
Vessel Disease ◽  
The Relationship

Background and Purpose: Diabetic retinopathy (DR) is one of the common microvascular complications in diabetes. The total magnetic resonance imaging (MRI) burden of cerebral small vessel disease (CSVD) tends to be increased in diabetic patients and is a marker of microvascular disease; however, the relationship between DR and CSVD is unclear. This study aimed to explore the relationship between retinal microvascular abnormalities and the total MRI burden of CSVD in patients with type 2 diabetes.Methods: Data were collected from patients with type 2 diabetes who were hospitalized between December 2019 and November 2020 in Changzhou Second People’s Hospital affiliated to Nanjing Medical University. All patients underwent retinal photography and cerebral MRI. The central retinal artery equivalent (CRAE), the central retinal venous equivalent (CRVE), and arteriole-to-venule ratio (AVR) were calculated using Image J software to determine the retinal vascular calibers for each patient. The total MRI burden score for CSVD was determined, and the relationship between retinal microvascular abnormalities and the total MRI burden of CSVD was analyzed.Results: Of the 151 diabetic patients included in the study, 84 (55.6%) had no diabetic retinopathy (NDR), 27 (17.9%) had mild DR, and 40 (26.5%) had moderate, or severe non-proliferative DR (grouped together for this study as “more than mild DR”). In patients with more than mild DR, the proportion of moderate to severe burden of CSVD was 75%, which was higher than in patients with mild DR (48.1%) or NDR (26.2%). Patients with moderate to severe burden of CSVD were more likely than those with mild burden of CSVD to have narrowed retinal arterioles (105.24 ± 8.42 μm vs. 109.45 ± 7.93 μm), widened retinal venules (201.67 ± 16.25 μm vs. 193.95 ± 13.54 μm), and lower arteriole-to-venule ratio (0.52 ± 0.05 vs. 0.57 ± 0.04) (P &lt; 0.05 for all). The degree of DR (r = 0.465, P &lt; 0.001) and CRVE (r = 0.366, P &lt; 0.001) were positively correlated with the total MRI burden of CSVD. Multivariate logistic regression analysis indicated that, after adjustments were made for age, smoking, alcohol consumption, hypertension, and other factors, more than mild DR (OR, 4.383; P = 0.028), CRAE (OR, 0.490; P = 0.031), and CRVE (OR, 1.475; P = 0.041) were independently associated with moderate to severe burden of CSVD.Conclusion: Retinal microvascular abnormalities in patients with type 2 diabetes are associated with the presence of cerebral small vessel lesions. The degree of DR and retinal vessel changes can be used as predictors of intracranial microcirculation lesions.

Does cerebral small vessel disease predict future decline of cognitive function in elderly people with type 2 diabetes?

2011 ◽  
Vol 94 (1) ◽  
pp. 91-99 ◽  
Author(s):  
Rui Imamine ◽  
Takahiko Kawamura ◽  
Toshitaka Umemura ◽  
Hiroyuki Umegaki ◽  
Naoko Kawano ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cognitive Function ◽  
Elderly People ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Vessel Disease

scholarly journals Type 2 diabetes, change in depressive symptoms over time, and cerebral small vessel disease – Longitudinal data of the AGES-Reykjavik Study

2020 ◽  
Author(s):  
Sytze P Rensma ◽  
Thomas T van Sloten ◽  
Jennifer Ding ◽  
Sigurdur Sigurdsson ◽  
Coen DA Stehouwer ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Depressive Symptoms ◽  
Blood Glucose ◽  
Longitudinal Data ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Vessel Disease ◽  
Over Time

<b></b><b>Objective: </b>Type 2 diabetes has been associated with depression. However, the underlying pathophysiological mechanisms remain unknown. Cerebral small vessel disease, a consequence of diabetes, may lead to depression. Therefore, we evaluated whether cerebral small vessel disease mediates the association between type 2 diabetes and higher depressive symptoms. <p><b>Research Design and Methods: </b>We used longitudinal data from the population-based Age, Gene/Environment Susceptibility-Reykjavik Study, with examinations from 2002/2006 and five years later. Type 2 diabetes was defined as<b> </b>self-reported history of type 2 diabetes, use of blood glucose-lowering drugs, or fasting blood glucose level ≥7.0 mmol/L. Cerebral small vessel disease load was quantified in a composite score based on MRI-defined presence of high white matter hyperintensity volume, low total brain parenchyma volume, and subcortical infarcts, cerebral microbleeds and large perivascular spaces. 5-year change in 15-item Geriatric Depression Scale score (GDS-15) was measured between baseline and follow-up.</p> <p><b>Results: </b>2,135 individuals without dementia and baseline depression were included (baseline age 74.5 years [SD 4.6], 1,245 [58.3%] women and 197 [9.2%] with diabetes). The GDS-15 score increased 0.4 points (SD 1.6) over time. Baseline diabetes was associated with greater increase in GDS-15 score (β 0.337, 95%CI 0.094; 0.579), adjusted for age, sex, education and cardiovascular risk factors. Baseline cerebral small vessel disease and change of cerebral small vessel disease statistically significantly mediated a part of this association.</p> <b>Conclusions: </b>Type 2 diabetes is associated with a greater increase in depressive symptoms score over 5 years, and cerebral small vessel disease in part explains this association.<b> </b><b> </b>

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