scholarly journals Altered White Matter Microstructures in Type 2 Diabetes Mellitus: A Coordinate‐Based Meta‐Analysis of Diffusion Tensor Imaging Studies

2021 ◽  
Vol 12 ◽  
Author(s):  
Cong Zhou ◽  
Jie Li ◽  
Man Dong ◽  
Liangliang Ping ◽  
Hao Lin ◽  
...  

ObjectiveType 2 diabetes mellitus (T2DM) is often accompanied by cognitive decline and depressive symptoms. Numerous diffusion tensor imaging (DTI) studies revealed microstructural white matter (WM) abnormalities in T2DM but the findings were inconsistent. The present study aimed to conduct a coordinate‐based meta‐analysis (CBMA) to identify statistical consensus of DTI studies in T2DM.MethodsWe performed a systematic search on relevant studies that reported fractional anisotropy (FA) differences between T2DM patients and healthy controls (HC). The anisotropic effect size seed‐based d mapping (AES-SDM) approach was used to explore WM alterations in T2DM. A meta‐regression was then used to analyze potential influences of sample characteristics on regional FA changes.ResultsA total of eight studies that comprised 245 patients and 200 HC, along with 52 coordinates were extracted. The meta‐analysis identified FA reductions in three clusters including the left inferior network, the corpus callosum (CC), and the left olfactory cortex. Besides, FA in the CC was negatively correlated with body mass index (BMI) in the patients group.ConclusionsT2DM could lead to subtle WM microstructural alterations, which might be associated with cognitive deficits or emotional distress symptoms. This provides a better understanding of the pathophysiology of neurodegeneration and complications in T2DM.Systematic Review RegistrationRegistered at PROSPERO (http://www.crd.york.ac.uk/PROSPERO), registration number: CRD42020218737.

2021 ◽  
Vol 13 ◽  
Author(s):  
Li Huang ◽  
Qingqing Zhang ◽  
Tong Tang ◽  
Minguang Yang ◽  
Cong Chen ◽  
...  

Aims: The study aimed to conduct a meta-analysis to determine the abnormalities of white matter in patients with type 2 diabetes mellitus (T2DM) by identifying the consistency of diffusion tensor imaging (DTI).Method: The literature for DTI comparing patients with T2DM with controls published before October 30, 2020, were reviewed in PubMed, Web of Science, Embase, CNKI, and Wan Fang databases. The meta-analysis was performed using the activation likelihood estimation (ALE) method, including 12 reports and 381 patients with T2DM.Results: The meta-analysis identified 10 white matter regions that showed a consistent reduction of fractional anisotropy (FA) in patients with T2DM, including genu of the corpus callosum, the body of corpus callosum, bilateral anterior corona radiata, bilateral superior corona radiata, bilateral cingulum, and bilateral superior fronto-occipital fasciculus.Conclusion: This study revealed the abnormal characteristics of white matter in T2DM, which would be helpful to understand the underlying neuropathological and physiological mechanisms of T2DM and provide evidence for clinical diagnosis and treatment.


2021 ◽  
Vol 11 (2) ◽  
pp. 140
Author(s):  
Abdulmajeed Alotaibi ◽  
Christopher Tench ◽  
Rebecca Stevenson ◽  
Ghadah Felmban ◽  
Amjad Altokhis ◽  
...  

Type 1 and type 2 diabetes mellitus have an impact on the microstructural environment and cognitive functions of the brain due to its microvascular/macrovascular complications. Conventional Magnetic Resonance Imaging (MRI) techniques can allow detection of brain volume reduction in people with diabetes. However, conventional MRI is insufficiently sensitive to quantify microstructural changes. Diffusion Tensor Imaging (DTI) has been used as a sensitive MRI-based technique for quantifying and assessing brain microstructural abnormalities in patients with diabetes. This systematic review aims to summarise the original research literature using DTI to quantify microstructural alterations in diabetes and the relation of such changes to cognitive status and metabolic profile. A total of thirty-eight published studies that demonstrate the impact of diabetes mellitus on brain microstructure using DTI are included, and these demonstrate that both type 1 diabetes mellitus and type 2 diabetes mellitus may affect cognitive abilities due to the alterations in brain microstructures.


2021 ◽  
Author(s):  
Ali Reza Eftekhari Moghadam ◽  
Ahmad Zare Javid ◽  
Jafar Fatahi Asl ◽  
Leila Moradi ◽  
Abolhasan Rezaeyan ◽  
...  

Abstract Background: Brain microstructural changes in white matter (WM) and gray matter (GM) of type 2 diabetes mellitus (T2DM) patients can be explained using Diffusion Tensor Imaging (DTI) method. Increased oxidative stress has been recognized the key factor in T2DM induce neural damage. Rutin flavonoid plays protective roles in several oxidative stress-mediated neurodegenerative disorders. So, the effects of rutin on WM and GM continuous changes in T2DM patients requires to be more investigated.Method: We will conduct a 3 months, double-blind, randomized controlled clinical trial to examine the effects of rutin supplementation on WM and GM changes in 26 T2DM cases. The intervention group (n=13) and the control group (n=13) will receive one tablet of 1 g rutin/day and one tablet of 1 g placebo/day after meals, respectively. Before and after the intervention, DTI will perform at 1.5 Tesla, followed by an analysis employing tract-based spatial statistics (TBSS) to explore the changes in fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (λ1), and radial diffusivity (λ23) among the rutin and placebo treated groups. A receiver operating characteristic (ROC) test will use to evaluate the performance of DTI criteria for cutting off the two T2DM groups. Discussion: We will demonstrate the diverse influences of rutin supplementation on WM and GM integrity on T2DM patients. Since, rutin may regulate neurotoxicity, oxidative stress, inflammatory reaction and nitric oxide production in nervous system; for the first time, the effects of rutin on WM and GM alterations will be evaluated by DTI in T2DM patients. Trial registration: Iran Clinical Trials Registry, registration number: IRCT20151128025274N6. Registered on 10 January 2021, https://fa.irct.ir/user/trial/53283/view


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
P. L. Yau ◽  
R. Hempel ◽  
A. Tirsi ◽  
A. Convit

We examined 33 hypertensive (22 with comorbid type 2 diabetes mellitus (T2DM)) and 29 normotensive (8 with T2DM) middle-aged and elderly adults, comparable in age and education. Relative to normotensive participants, those with hypertension, in addition to a higher prevalence of periventricular white matter (WM) lesions, had significantly lower WM microstructural integrity of major fiber tracts as seen with MRI-based diffusion tensor imaging. Among participants with hypertension, those with co-morbid T2DM (n=22) had more widespread WM pathology than those without T2DM (n=11). Furthermore and consistent with previous research, both hypertension and T2DM were related to decreased retinal arterial diameter. Further exploratory analysis demonstrated that the observed retinal arteriolar narrowing among individual with hypertension was associated with widespread subclinical losses in WM microstructural integrity and these associations were present predominantly in the frontal lobe. We found that T2DM adds to the damaging effects of hypertension on cerebral WM, and notably these effects were independent of age and body mass index. Given that the decrease in retinal arteriolar diameter may be a biomarker for parallel pathology in cerebral arterioles, our data suggest that the frontal lobe may be particularly vulnerable to microvascular damage in the presence of hypertension and T2DM.


2011 ◽  
pp. P1-518-P1-518
Author(s):  
Julie C Chapman ◽  
Jonathan Galaz Welden ◽  
Patrick M Sullivan ◽  
Lauren A Roselli ◽  
Thomas H Nassif ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1159-P
Author(s):  
GLENN M. DAVIES ◽  
ANN MARIE MCNEILL ◽  
ELIZA KRUGER ◽  
STACEY L. KOWAL ◽  
FLAVIA EJZYKOWICZ ◽  
...  

Author(s):  
Arwa Aljabali ◽  
Roaa Maghrabi ◽  
Ahmad Shok ◽  
Ghufran Alshawmali ◽  
Abdullah Alqahtani ◽  
...  

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