Subcortical gray matter structural alterations in prediabetes and type 2 diabetes

Neuroreport ◽  
2019 ◽  
Vol 30 (6) ◽  
pp. 441-445 ◽  
Author(s):  
Dong Cui ◽  
Xinfeng Liu ◽  
Minmin Liu ◽  
Weifang Cao ◽  
Yazhuo Xue ◽  
...  
2018 ◽  
Vol 33 (4) ◽  
pp. 1211-1222 ◽  
Author(s):  
Gabriel Bernardes ◽  
Richard G. IJzerman ◽  
Jennifer S. ten Kulve ◽  
Frederik Barkhof ◽  
Michaela Diamant ◽  
...  

Author(s):  
Cristina Cabrera-Mino ◽  
Bhaswati Roy ◽  
Mary A. Woo ◽  
Matthew J. Freeby ◽  
Rajesh Kumar ◽  
...  

2019 ◽  
Vol 14 (5) ◽  
pp. 1477-1486 ◽  
Author(s):  
Chuanlong Cao ◽  
Wanqing Liu ◽  
Qing Zhang ◽  
Jian-lin Wu ◽  
Yumei Sun ◽  
...  

Author(s):  
Jia Liu ◽  
Taiyuan Liu ◽  
Wenhui Wang ◽  
Lun Ma ◽  
Xiaoyue Ma ◽  
...  

2018 ◽  
Vol 31 (3) ◽  
pp. 261-268 ◽  
Author(s):  
Jacob M. Redel ◽  
Mark DiFrancesco ◽  
Jennifer Vannest ◽  
Mekibib Altaye ◽  
Dean Beebe ◽  
...  

AbstractBackground:Adults with type 2 diabetes (T2D) have significantly lower gray matter volume (GMV) compared to healthy peers. Whether GMV differences exist in youth with T2D remains unclear. Thus, we compared global and regional GMV between obese youth with T2D with age, race and sex similar healthy controls.Methods:In a cross-sectional study, 20 obese youth with T2D underwent T1-weighted brain magnetic resonance imaging (MRI). Comparisons were made to 20 age, race and sex similar controls. Differences in global and regional GMV between groups were identified using voxel-based morphometry (VBM).Results:Youth with T2D had a significantly lower global GMV-to-intracranial volume ratio (0.51±0.02 in T2D vs. 0.53±0.02 in controls, p=0.02, Cohen’sd=0.85). There were 14 regions where GMV was significantly lower in the T2D group, and nine of these were found in either the temporal or occipital lobes. There were six regions with increased GMV in T2D. All regional differences were significant at p<0.05 after adjusting for multiple comparisons.Conclusions:Results from this pilot study show obese youth with T2D have significantly lower global GMV and regional GMV differences, when compared to their age, race and sex similar peers. Future work is needed to determine whether these brain findings are a direct result of adolescent-onset T2D.


Metabolism ◽  
2014 ◽  
Vol 63 (11) ◽  
pp. 1390-1397 ◽  
Author(s):  
Disha Mehta ◽  
Daniela A. Pimentel ◽  
Maria-Zunilda Núñez ◽  
Amir Abduljalil ◽  
Vera Novak

2010 ◽  
Vol 184 (2) ◽  
pp. 63-70 ◽  
Author(s):  
Olusola Ajilore ◽  
Katherine Narr ◽  
Jonah Rosenthal ◽  
Daniel Pham ◽  
Liberty Hamilton ◽  
...  

2021 ◽  
Vol 15 ◽  
Author(s):  
Kevin K. K. Yu ◽  
Gladys L. Y. Cheing ◽  
Charlton Cheung ◽  
Georg S. Kranz ◽  
Alex Kwok-Kuen Cheung

Aims/hypothesis: Diabetes mellitus (DM) is associated with comorbid brain disorders. Neuroimaging studies in DM revealed neuronal degeneration in several cortical and subcortical brain regions. Previous studies indicate more pronounced brain alterations in type 2 diabetes mellitus (T2DM) than in type 1 diabetes mellitus (T1DM). However, a comparison of both types of DM in a single analysis has not been done so far. The aim of this meta-analysis was to conduct an unbiased objective investigation of neuroanatomical differences in DM by combining voxel-based morphometry (VBM) studies of T1DM and T2DM using dual disorder anatomical likelihood estimation (ALE) quantification.Methods: PubMed, Web of Science and Medline were systematically searched for publications until June 15, 2020. VBM studies comparing gray matter volume (GMV) differences between DM patients and controls at the whole-brain level were included. Study coordinates were entered into the ALE meta-analysis to investigate the extent to which T1DM, T2DM, or both conditions contribute to gray matter volume differences compared to controls.Results: Twenty studies (comprising of 1,175 patients matched with 1,013 controls) were included, with seven studies on GMV alterations in T1DM and 13 studies on GMV alterations in T2DM. ALE analysis revealed seven clusters of significantly lower GMV in T1DM and T2DM patients relative to controls across studies. Both DM subtypes showed GMV reductions in the left caudate, right superior temporal lobe, and left cuneus. Conversely, GMV reductions associated exclusively with T2DM (&gt;99% contribution) were found in the left cingulate, right posterior lobe, right caudate and left occipital lobe. Meta-regression revealed no significant influence of study size, disease duration, and HbA1c values.Conclusions/interpretation: Our findings suggest a more pronounced gray matter atrophy in T2DM compared to T1DM. The increased risk of microvascular or macrovascular complications, as well as the disease-specific pathology of T2DM may contribute to observed GMV reductions.Systematic Review Registration: [PROSPERO], identifier [CRD42020142525].


2020 ◽  
Author(s):  
Christopher M Lawson ◽  
Kilian FG Rentrup ◽  
Xuezhu Cai ◽  
Praveen P Kulkarni ◽  
Craig Ferris

Abstract Objectives This is an exploratory study using multimodal magnetic resonance imaging (MRI) to interrogate the brain of rats with type 2 diabetes (T2DM) as compared to controls. It was assumed there would be changes in brain structure and function that reflected the human disorder, thus providing a model system by which to follow disease progression with non-invasive MRI. Methods The transgenic BBZDR/Wor rat, an animal model of T2MD, and age-matched controls were studied for changes in brain structure using voxel-based morphometry, alteration in white and gray matter microarchitecture using diffusion weighted imaging with indices of anisotropy, and functional coupling using resting state BOLD functional connectivity. Images from each modality were registered to, and analyzed, using a 3D MRI rat atlas providing site-specific data on over 168 different brain areas. Results There was an overall reduction in brain volume focused primarily on somatosensory cortex, cerebellum and white matter tracts. The putative changes in white and gray matter microarchitecture were pervasive affecting much of the brain and not localized to any region. There was a general increase in connectivity in T2DM rats as compared to controls. The cerebellum presented with strong functional coupling to pons and brainstem in T2DM rats but negative connectivity to hippocampus. Conclusion Are the neuroradiological measures collected in BBBKZ/Wor rats using multimodal imaging methods common to the clinic, similar to those reported in T2DM patents? In comparison to the clinical findings, the data would suggest the BBBKZ/Wor rat is not an appropriate imaging model for T2DM.


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