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伴有和不伴有微血管并发症的2型糖尿病患者功能拓扑组织的改变

Altered Functional Topological Organization in Type-2 Diabetes Mellitus With and Without Microvascular Complications.

作者信息

Zhang Dongsheng, Huang Yang, Gao Jie, Lei Yumeng, Ai Kai, Tang Min, Yan Xuejiao, Lei Xiaoyan, Yang Zhen, Shao Zhirong, Zhang Xiaoling

机构信息

Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China.

Department of Graduate, Xi'an Medical University, Xi'an, China.

出版信息

Front Neurosci. 2021 Sep 22;15:726350. doi: 10.3389/fnins.2021.726350. eCollection 2021.

Abstract

Microvascular complications can accelerate cognitive impairment in patients with type 2 diabetes mellitus (T2DM) and have a high impact on their quality of life; however, the underlying mechanism is still unclear. The complex network in the human brain is the physiological basis for information processing and cognitive expression. Therefore, this study explored the relationship between the functional network topological properties and cognitive function in T2DM patients with and without microvascular complications (T2DM-C and T2DM-NC, respectively). Sixty-seven T2DM patients and 41 healthy controls (HCs) underwent resting-state functional MRI and neuropsychological assessment. Then, graph theoretical network analysis was performed to explore the global and nodal topological alterations in the functional whole brain networks of T2DM patients. Correlation analyses were performed to investigate the relationship between the altered topological parameters and cognitive/clinical variables. The T2DM-C group exhibited significantly higher local efficiency (Eloc), normalized cluster coefficient (γ), and small-world characteristics (σ) than the HCs. Patients with T2DM at different clinical stages (T2DM-C and T2DM-NC) showed varying degrees of abnormalities in node properties. In addition, compared with T2DM-NC patients, T2DM-C patients showed nodal properties disorders in the occipital visual network, cerebellum and middle temporal gyrus. The Eloc metrics were positively correlated with HbA1c level ( = 0.001, = 0.515) and the NE values in the right paracentral lobule were negatively related with serum creatinine values ( = 0.001, = -0.517) in T2DM-C patients. This study found that T2DM-C patients displayed more extensive changes at different network topology scales. The visual network and cerebellar may be the central vulnerable regions of T2DM-C patients.

摘要

微血管并发症可加速2型糖尿病(T2DM)患者的认知障碍,并对其生活质量产生重大影响;然而,其潜在机制仍不清楚。人类大脑中的复杂网络是信息处理和认知表达的生理基础。因此,本研究探讨了有和无微血管并发症的T2DM患者(分别为T2DM-C和T2DM-NC)的功能网络拓扑特性与认知功能之间的关系。67例T2DM患者和41例健康对照者(HCs)接受了静息态功能磁共振成像和神经心理学评估。然后,进行图论网络分析,以探索T2DM患者功能全脑网络的全局和节点拓扑改变。进行相关性分析,以研究改变的拓扑参数与认知/临床变量之间的关系。T2DM-C组的局部效率(Eloc)、标准化聚类系数(γ)和小世界特征(σ)显著高于HCs。处于不同临床阶段的T2DM患者(T2DM-C和T2DM-NC)在节点特性方面表现出不同程度的异常。此外,与T2DM-NC患者相比,T2DM-C患者在枕叶视觉网络、小脑和颞中回表现出节点特性紊乱。在T2DM-C患者中,Eloc指标与糖化血红蛋白水平呈正相关( = 0.001, = 0.515),右侧中央旁小叶的NE值与血清肌酐值呈负相关( = 0.001, = -0.517)。本研究发现,T2DM-C患者在不同网络拓扑尺度上表现出更广泛的变化。视觉网络和小脑可能是T2DM-C患者的主要易损区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2fc/8493598/c1c04429d6a7/fnins-15-726350-g001.jpg

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