Temporal dynamic of cognitive decline in type 2 diabetes mellitus patients: a multimodal biomarker analysis using event-based modal and principal component analysis

2型糖尿病患者认知功能下降的时间动态:基于事件模态和主成分分析的多模态生物标志物分析

阅读:2

Abstract

BACKGROUND: Type 2 diabetes mellitus (T2DM) is an important risk factor for cognitive impairment. Prior research has shown cognitive deficits and neural alterations across multiple domains in T2DM patients. However, the sequential dynamics of cognitive decline in this population remain poorly understood. This study employs an integrative approach combining Principal Component Analysis (PCA) and the Event-Based Model (EBM) to identify the temporal sequence of cognitive changes and underlying neural mechanisms in T2DM. METHODS: This study assessed 119 T2DM patients and 87 healthy controls with neuropsychological tests and Magnetic Resonance Imaging for gray matter volume (GMV). PCA was used to reduce dimensionality in CVLT, STROOP, and WCST due to their substantial number of items, enabling integration into the EBM model. EBM estimated the sequence of cognitive and neurostructural changes. Partial correlation analyses were used to examine associations with clinical factors with controlling covariance. RESULTS: Cognitive decline in T2DM began with attention and working memory, followed by executive function and episodic memory. GMV loss started in the insular gyrus, spreading to other regions. T2DM patients exhibited significantly more advanced disease progression than healthy controls (EBM stage 0.54 (0.12) vs. 0.49 (0.10), P = 0.001). A negative correlation linked long-delay memory (CVLT-PC4) to random blood glucose (r = -0.581, P(FDR) = 0.025). CONCLUSION: Memory decline and insular gyrus atrophy may serve as early biomarkers for T2DM-related cognitive impairment. These findings highlight potential targets for early intervention and suggest strategies for developing personalized treatments to improve life quality in affected individuals.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。