Evidence of altered brain network centrality in patients with diabetic nephropathy and retinopathy: an fMRI study using a voxel-wise degree centrality approach

• Published in: Therapeutic advances in endocrinology and metabolism Vol. 10; p. 2042018819865723
• Main Authors: Wang, Yu, Jiang, Lei, Wang, Xiao-yu, Chen, Weizhe, Shao, Yi, Chen, Qin-kai, Lv, Jin-lei
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 2019; Sage Publications Ltd; SAGE Publishing
• Subjects: Biopsy; Brain; Brain mapping; Cerebral infarction; Computed tomography; Correlation analysis; Cortex (parietal); Diabetes; Diabetes mellitus; Diabetic nephropathy; Diabetic retinopathy; Emission analysis; Epidermal growth factor receptors; Functional magnetic resonance imaging; Glomerular filtration rate; Hemorrhage; Infarction; Kidneys; Lesions; Magnetic resonance imaging; Men; Microvasculature; Nephropathy; Neuroimaging; Original Research; Photon emission; Retinopathy; Temporal gyrus; Women; spontaneous brain activity; microangiopathy; diabetic retinopathy; diabetic nephropathy; DC
• ISSN: 2042-0188; 2042-0196
• DOI: 10.1177/2042018819865723

Background: Over recent years, some researchers believe that diabetic nephropathy (DN) and diabetic retinopathy (DR) both independently increase the incidence of brain diseases, such as stroke, cerebral infarction, and cerebral hemorrhage. In the present study, we used the voxel-wise degree centrality (DC) method to investigate potential changes of functional network brain activity in patients with DN and retinopathy (DNR). Methods: Twenty DNR patients (9 men, 11 women) and 20 healthy controls (HCs; 9 men, 11 women) were recruited; the controls were matched for age, sex, and educational background. All subjects underwent resting-state functional magnetic resonance imaging. Ophthalmoscopy, renal biopsy and single-photon emission computed tomography were used to evaluate microvascular lesions in the eye and kidney. Data were categorized using receiver operating characteristic curves, and correlation analysis was performed using Pearson’s correlation analysis. Results: Compared with HCs, DNR patients showed reduced mean DC values in the right inferior temporal gyrus (RITG) and left subcallosal gyrus regions (LSG) and increased mean DC values in the bilateral precuneus (BP). Moreover, mean DC in the BP was correlated with renal estimated glomerular filtration rate (eGFR; r = 0.762). The area under the curve (AUC) value was 0.829 for BP and 0.839 for RITG and LSG. Conclusion: DNR patients showed dysfunction in three different brain regions. The linear correlation between eGFR and mean brain DC values indicates the presence of common diabetic microangiopathy in the brain and kidney, which may provide new ideas for multiorgan microvascular lesions of diabetics.