scholarly journals Relationship Between Type 2 Diabetes and White Matter Hyperintensity: A Systematic Review

2020 ◽  
Vol 11 ◽  
Author(s):  
Dan-Qiong Wang ◽  
Lei Wang ◽  
Miao-Miao Wei ◽  
Xiao-Shuang Xia ◽  
Xiao-Lin Tian ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
White Matter ◽  
Structural Changes ◽  
White Matter Lesions ◽  
Poor Performance ◽  
White Matter Hyperintensity ◽  
Diabetic Microangiopathy ◽  
The Relationship ◽  
The Brain

White matter (WM) disease is recognized as an important cause of cognitive decline and dementia. White matter lesions (WMLs) appear as white matter hyperintensities (WMH) on T2-weighted magnetic resonance imaging (MRI) scans of the brain. Previous studies have shown that type 2 diabetes (T2DM) is associated with WMH. In this review, we reviewed the literature on the relationship between T2DM and WMH in PubMed and Cochrane over the past five years and explored the possible links among the presence of T2DM, the course or complications of diabetes, and WMH. We found that: (1) Both from a macro- and micro-scopic point of view, most studies support the relationship of a larger WMH and a decrease in the integrity of WMH in T2DM; (2) From the relationship between brain structural changes and cognition in T2DM, the poor performance in memory, attention, and executive function tests associated with abnormal brain structure is consistent; (3) Diabetic microangiopathy or peripheral neuropathy may be associated with WMH, suggesting that the brain may be a target organ for T2DM microangiopathy; (4) Laboratory markers such as insulin resistance and fasting insulin levels were significantly associated with WMH. High HbA1c and high glucose variability were associated with WMH but not glycemic control.

scholarly journals The Relationship Between Glycaemia, Cognitive Function, Structural Brain Outcomes and Dementia: A Mendelian Randomization Study in the UK Biobank

2021 ◽  
Author(s):  
Victoria Garfield ◽  
Aliki-Eleni Farmaki ◽  
Ghazaleh Fatemifar ◽  
Sophie V. Eastwood ◽  
Rohini Mathur ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Reaction Time ◽  
Cognitive Function ◽  
White Matter ◽  
Visual Memory ◽  
White Matter Hyperintensity ◽  
Uk Biobank ◽  
The Relationship ◽  
Genetic Instruments

We investigated the relationship between glycaemia and cognitive function, brain structure and incident dementia using bidirectional Mendelian randomisation (MR). Data were from UK Biobank (n~500,000). Our exposures were genetic instruments for type-2 diabetes (157 variants) and HbA<sub>1c </sub>(51 variants) and our outcomes were reaction time (RT), visual memory, hippocampal and white matter hyperintensity volumes, Alzheimer’s dementia (AD). We also investigated associations between genetic variants for RT (43 variants) and, diabetes and HbA<sub>1c</sub>. We used conventional inverse-variance weighted (IVW) MR, alongside MR sensitivity analyses. Using IVW, genetic liability to type-2 diabetes was not associated with reaction time (exponentiated ß=1.00, 95%CI=1.00; 1.00), visual memory (expß=1.00, 95%CI=0.99; 1.00), white matter hyperintensity volume (WMHV) (expß=0.99, 95%CI=0.97; 1.01), hippocampal volume (HV) (ß coefficient mm<sup>3</sup>=4.56, 95%CI=-3.98; 13.09) or AD (OR 0.89, 95%CI=0.78; 1.01). HbA<sub>1c </sub>was not associated with RT (expß=1.01, 95%CI=1.00; 1.01), WMHV (expß=0.94, 95%CI=0.81; 1.08), HV (ß=7.21, 95%CI=-54.06; 68.48), or risk of AD (OR 0.94, 95%CI=0.47; 1.86), but HbA<sub>1c</sub> was associated with visual memory (expß=1.06, 95%CI=1.05; 1.07) using a weighted median. IVW showed that reaction time was not associated with diabetes risk (OR 0.96, 95%CI=0.63; 1.46) or with HbA<sub>1c </sub>(ß coefficient mmol/mol=-0.08, 95%CI=-0.57; 0.42). Overall, we observed little evidence of causal association between genetic instruments for T2D or peripheral glycaemia and some measures of cognition and brain structure in midlife.

scholarly journals The Relationship Between Glycaemia, Cognitive Function, Structural Brain Outcomes and Dementia: A Mendelian Randomization Study in the UK Biobank

2021 ◽  
Author(s):  
Victoria Garfield ◽  
Aliki-Eleni Farmaki ◽  
Ghazaleh Fatemifar ◽  
Sophie V. Eastwood ◽  
Rohini Mathur ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Reaction Time ◽  
Cognitive Function ◽  
White Matter ◽  
Visual Memory ◽  
White Matter Hyperintensity ◽  
Uk Biobank ◽  
The Relationship ◽  
Genetic Instruments

We investigated the relationship between glycaemia and cognitive function, brain structure and incident dementia using bidirectional Mendelian randomisation (MR). Data were from UK Biobank (n~500,000). Our exposures were genetic instruments for type-2 diabetes (157 variants) and HbA<sub>1c </sub>(51 variants) and our outcomes were reaction time (RT), visual memory, hippocampal and white matter hyperintensity volumes, Alzheimer’s dementia (AD). We also investigated associations between genetic variants for RT (43 variants) and, diabetes and HbA<sub>1c</sub>. We used conventional inverse-variance weighted (IVW) MR, alongside MR sensitivity analyses. Using IVW, genetic liability to type-2 diabetes was not associated with reaction time (exponentiated ß=1.00, 95%CI=1.00; 1.00), visual memory (expß=1.00, 95%CI=0.99; 1.00), white matter hyperintensity volume (WMHV) (expß=0.99, 95%CI=0.97; 1.01), hippocampal volume (HV) (ß coefficient mm<sup>3</sup>=4.56, 95%CI=-3.98; 13.09) or AD (OR 0.89, 95%CI=0.78; 1.01). HbA<sub>1c </sub>was not associated with RT (expß=1.01, 95%CI=1.00; 1.01), WMHV (expß=0.94, 95%CI=0.81; 1.08), HV (ß=7.21, 95%CI=-54.06; 68.48), or risk of AD (OR 0.94, 95%CI=0.47; 1.86), but HbA<sub>1c</sub> was associated with visual memory (expß=1.06, 95%CI=1.05; 1.07) using a weighted median. IVW showed that reaction time was not associated with diabetes risk (OR 0.96, 95%CI=0.63; 1.46) or with HbA<sub>1c </sub>(ß coefficient mmol/mol=-0.08, 95%CI=-0.57; 0.42). Overall, we observed little evidence of causal association between genetic instruments for T2D or peripheral glycaemia and some measures of cognition and brain structure in midlife.

scholarly journals The Relationship Between Glycaemia, Cognitive Function, Structural Brain Outcomes and Dementia: A Mendelian Randomization Study in the UK Biobank

2021 ◽  
Author(s):  
Victoria Garfield ◽  
Aliki-Eleni Farmaki ◽  
Ghazaleh Fatemifar ◽  
Sophie V. Eastwood ◽  
Rohini Mathur ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Reaction Time ◽  
Cognitive Function ◽  
White Matter ◽  
Visual Memory ◽  
White Matter Hyperintensity ◽  
Uk Biobank ◽  
The Relationship ◽  
Genetic Instruments

We investigated the relationship between glycaemia and cognitive function, brain structure and incident dementia using bidirectional Mendelian randomisation (MR). Data were from UK Biobank (n~500,000). Our exposures were genetic instruments for type-2 diabetes (157 variants) and HbA<sub>1c </sub>(51 variants) and our outcomes were reaction time (RT), visual memory, hippocampal and white matter hyperintensity volumes, Alzheimer’s dementia (AD). We also investigated associations between genetic variants for RT (43 variants) and, diabetes and HbA<sub>1c</sub>. We used conventional inverse-variance weighted (IVW) MR, alongside MR sensitivity analyses. Using IVW, genetic liability to type-2 diabetes was not associated with reaction time (exponentiated ß=1.00, 95%CI=1.00; 1.00), visual memory (expß=1.00, 95%CI=0.99; 1.00), white matter hyperintensity volume (WMHV) (expß=0.99, 95%CI=0.97; 1.01), hippocampal volume (HV) (ß coefficient mm<sup>3</sup>=4.56, 95%CI=-3.98; 13.09) or AD (OR 0.89, 95%CI=0.78; 1.01). HbA<sub>1c </sub>was not associated with RT (expß=1.01, 95%CI=1.00; 1.01), WMHV (expß=0.94, 95%CI=0.81; 1.08), HV (ß=7.21, 95%CI=-54.06; 68.48), or risk of AD (OR 0.94, 95%CI=0.47; 1.86), but HbA<sub>1c</sub> was associated with visual memory (expß=1.06, 95%CI=1.05; 1.07) using a weighted median. IVW showed that reaction time was not associated with diabetes risk (OR 0.96, 95%CI=0.63; 1.46) or with HbA<sub>1c </sub>(ß coefficient mmol/mol=-0.08, 95%CI=-0.57; 0.42). Overall, we observed little evidence of causal association between genetic instruments for T2D or peripheral glycaemia and some measures of cognition and brain structure in midlife.

scholarly journals The Relationship Between Glycaemia, Cognitive Function, Structural Brain Outcomes and Dementia: A Mendelian Randomization Study in the UK Biobank

2021 ◽  
Author(s):  
Victoria Garfield ◽  
Aliki-Eleni Farmaki ◽  
Ghazaleh Fatemifar ◽  
Sophie V. Eastwood ◽  
Rohini Mathur ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Reaction Time ◽  
Cognitive Function ◽  
White Matter ◽  
Visual Memory ◽  
White Matter Hyperintensity ◽  
Uk Biobank ◽  
The Relationship ◽  
Genetic Instruments

We investigated the relationship between glycaemia and cognitive function, brain structure and incident dementia using bidirectional Mendelian randomisation (MR). Data were from UK Biobank (n~500,000). Our exposures were genetic instruments for type-2 diabetes (157 variants) and HbA<sub>1c </sub>(51 variants) and our outcomes were reaction time (RT), visual memory, hippocampal and white matter hyperintensity volumes, Alzheimer’s dementia (AD). We also investigated associations between genetic variants for RT (43 variants) and, diabetes and HbA<sub>1c</sub>. We used conventional inverse-variance weighted (IVW) MR, alongside MR sensitivity analyses. Using IVW, genetic liability to type-2 diabetes was not associated with reaction time (exponentiated ß=1.00, 95%CI=1.00; 1.00), visual memory (expß=1.00, 95%CI=0.99; 1.00), white matter hyperintensity volume (WMHV) (expß=0.99, 95%CI=0.97; 1.01), hippocampal volume (HV) (ß coefficient mm<sup>3</sup>=4.56, 95%CI=-3.98; 13.09) or AD (OR 0.89, 95%CI=0.78; 1.01). HbA<sub>1c </sub>was not associated with RT (expß=1.01, 95%CI=1.00; 1.01), WMHV (expß=0.94, 95%CI=0.81; 1.08), HV (ß=7.21, 95%CI=-54.06; 68.48), or risk of AD (OR 0.94, 95%CI=0.47; 1.86), but HbA<sub>1c</sub> was associated with visual memory (expß=1.06, 95%CI=1.05; 1.07) using a weighted median. IVW showed that reaction time was not associated with diabetes risk (OR 0.96, 95%CI=0.63; 1.46) or with HbA<sub>1c </sub>(ß coefficient mmol/mol=-0.08, 95%CI=-0.57; 0.42). Overall, we observed little evidence of causal association between genetic instruments for T2D or peripheral glycaemia and some measures of cognition and brain structure in midlife.

scholarly journals Blood-based bioenergetic profiling is related to differences in brain morphology in African Americans with Type 2 diabetes

2018 ◽  
Vol 132 (23) ◽  
pp. 2509-2518 ◽  
Author(s):  
Gargi Mahapatra ◽  
S. Carrie Smith ◽  
Timothy M. Hughes ◽  
Benjamin Wagner ◽  
Joseph A. Maldjian ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
White Matter ◽  
African Americans ◽  
Mitochondrial Function ◽  
Brain Morphology ◽  
Intracranial Volume ◽  
Peripheral Blood Mononuclear ◽  
Relationship Of ◽  
The Relationship

Blood-based bioenergetic profiling has promising applications as a minimally invasive biomarker of systemic bioenergetic capacity. In the present study, we examined peripheral blood mononuclear cell (PBMC) mitochondrial function and brain morphology in a cohort of African Americans with long-standing Type 2 diabetes. Key parameters of PBMC respiration were correlated with white matter, gray matter, and total intracranial volumes. Our analyses indicate that these relationships are primarily driven by the relationship of systemic bioenergetic capacity with total intracranial volume, suggesting that systemic differences in mitochondrial function may play a role in overall brain morphology.

Abstract TP181: Serum Eiocosapentaenoic Acids Is Protective Against White Matter Lesions

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Daiki Takano ◽  
Takashi Yamazaki ◽  
Tetsuya Maeda ◽  
Yuichi Satoh ◽  
Yasuko Ikeda ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Decline ◽  
White Matter Hyperintensities ◽  
Small Vessel Disease ◽  
White Matter Lesions ◽  
White Matter Hyperintensity ◽  
Partial Regression Coefficient ◽  
The Relationship ◽  
Total Pufa ◽  
Periventricular Hyperintensity

[Introduction] White matter hyperintensities (WMH) are considered manifestation of arteriosclerotic small vessel disease and WMH burden increases risk of ischemic stroke and cognitive decline. There are only a few evidences concerning the relationship between polyunsaturated fatty acids (PUFA) and WMH. The present study was designed to elucidate the association between WMH and PUFA profile including eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA) and arachidonic acid (AA) in patients with Alzheimer’s disease (AD). [Methods] The present study was based on 119 patients who were diagnosed as having a probable AD according to the NINCDS-ADRDA criteria. Their mean age was 78.3 years old. All subjects underwent neuropsychological evaluation including mini mental state exam (MMSE) and 1.5-Tesla MRI. Fasting blood samples were also collected for the PUFA measurements. We measured the ratio of serum EPA, DHA and AA concentration to the total PUFA concentration. The WMH were evaluated on T2-weight images and classified into periventricular hyperintensity (PVH) and deep white matter hyperintensity (DWMH). The severity of WMH was graded 5 categories. We investigated the relationship between WMH and PUFA profiles. [Results] The EPA ratio correlated negatively with both PVH (rs=-0.2036, p=0.0264) and DWMH grade (rs=-0.3155, p=0.0005). It remained still significant after adjustment for age, sex, statins use, antithrombotics use, mean blood pressure and presence of hypertension (standardized partial regression coefficient(β)=-0.2516, p=0.0122 for PVH, β=-0.3598, p=0.0001 for DWMH). Neither DHA nor AA ratio correlated with DWMH or PVH grade. The EPA ratio but not DHA or AA ratio correlated positively with total MMSE score (rs=0.2310, p=0.0115). [Conclusions] Our data revealed that the serum EPA was protective against WMH as well as cognitive decline in AD patients. Pathophysiology underlying WMH is complex and the possible mechanisms involved in the pathogenesis of WMH encompass incomplete brain ischemia, increased permeability of blood-brain barrier, and inflammation responses. The relationship between serum EPA and WMH can be partly explained by those anti-ischemic and anti-arteriosclerotic effects of EPA.

scholarly journals A narrative review of multimodal imaging of white matter lesions in type-2 diabetes mellitus

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Qian Tang ◽  
Siou Li ◽  
Zhengfang Yang ◽  
Meini Wu ◽  
Yongming Guo ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
White Matter ◽  
Multimodal Imaging ◽  
White Matter Lesions ◽  
Narrative Review
Sign in / Sign up

Export Citation Format

Share Document