Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China.
School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Cereb Cortex. 2024 Jan 14;34(1). doi: 10.1093/cercor/bhad439.
Neuroimaging markers for risk and protective factors related to type 2 diabetes mellitus are critical for clinical prevention and intervention. In this work, the individual metabolic brain networks were constructed with Jensen-Shannon divergence for 4 groups (elderly type 2 diabetes mellitus and healthy controls, and middle-aged type 2 diabetes mellitus and healthy controls). Regional network properties were used to identify hub regions. Rich-club, feeder, and local connections were subsequently obtained, intergroup differences in connections and correlations between them and age (or fasting plasma glucose) were analyzed. Multinomial logistic regression was performed to explore effects of network changes on the probability of type 2 diabetes mellitus. The elderly had increased rich-club and feeder connections, and decreased local connection than the middle-aged among type 2 diabetes mellitus; type 2 diabetes mellitus had decreased rich-club and feeder connections than healthy controls. Protective factors including glucose metabolism in triangle part of inferior frontal gyrus, metabolic connectivity between triangle of the inferior frontal gyrus and anterior cingulate cortex, degree centrality of putamen, and risk factors including metabolic connectivities between triangle of the inferior frontal gyrus and Heschl's gyri were identified for the probability of type 2 diabetes mellitus. Metabolic interactions among critical brain regions increased in type 2 diabetes mellitus with aging. Individual metabolic network changes co-affected by type 2 diabetes mellitus and aging were identified as protective and risk factors for the likelihood of type 2 diabetes mellitus, providing guiding evidence for clinical interventions.
与 2 型糖尿病相关的风险和保护因素的神经影像学标志物对于临床预防和干预至关重要。在这项工作中，使用 Jensen-Shannon 散度为 4 组（老年 2 型糖尿病和健康对照组，以及中年 2 型糖尿病和健康对照组）构建了个体代谢大脑网络。使用区域网络特性来识别枢纽区域。随后获得了丰富俱乐部、饲养者和局部连接，分析了它们之间以及与年龄（或空腹血糖）之间的连接和相关性的组间差异。进行多项逻辑回归以探索网络变化对 2 型糖尿病概率的影响。与中年相比，老年 2 型糖尿病患者的丰富俱乐部和饲养者连接增加，而局部连接减少；2 型糖尿病患者的丰富俱乐部和饲养者连接比健康对照组减少。确定了三角部额下回的葡萄糖代谢、额下回三角部与前扣带皮质之间的代谢连接、壳核的度中心性等保护因素，以及三角部额下回与 Heschl 回之间的代谢连接等风险因素，这些因素与 2 型糖尿病的概率有关。随着年龄的增长，2 型糖尿病患者关键大脑区域之间的代谢相互作用增加。鉴定出受 2 型糖尿病和衰老共同影响的个体代谢网络变化，作为 2 型糖尿病发生可能性的保护和风险因素，为临床干预提供了指导证据。
