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Non-Alcoholic Fatty Liver Disease is Associated with Structural Covariance Network Reconfiguration in Cognitively Unimpaired Adults with Type 2 Diabetes

38 Pages Posted: 20 Dec 2024 Publication Status: Published

See all articles by Xin Li

Xin Li

Nanjing University

Wen Zhang

Nanjing University

Yan Bi

Nanjing University - Department of Endocrinology, Endocrine and Metabolic Disease

Linqing Fu

Nanjing University

Jiaming Lu

Nanjing University - The Affiliated Drum Tower Hospital

Jiu Chen

Nanjing University - The Affiliated Drum Tower Hospital

Qian Li

Nanjing University

Xinyi Shen

Nanjing University

Min Wu

Nanjing University

Yi Zhang

Nanjing University

Xin Zhang

Nanjing University - The Affiliated Drum Tower Hospital

Zhou Zhang

Nanjing University - Department of Endocrinology, Endocrine and Metabolic Disease

Zhengyang Zhu

Nanjing University

Bing Zhang

Nanjing University - The Affiliated Drum Tower Hospital

Abstract

Introduction: Type 2 diabetes (T2D) is often accompanied by non-alcoholic fatty liver disease (NAFLD), both of which are related to brain damage and cognitive impairment. However, cortical structural alteration and its relationship with metabolism and cognition in T2D with NAFLD (T2NAFLD) and without NAFLD (T2noNAFLD) remain unclear.

Methods: The brain MRI scans, clinical measures and neuropsychological test were evaluated in 50 normal controls (NC), 73 T2noNAFLD, and 58 T2NAFLD. The cortical thickness and graph theory properties of structural covariance network was calculated. Statistical analyses included one-way analysis of covariance with post hoc, partial correlation and mediation analysis. The nonparametric permutation test was performed to evaluate differences in topological properties of structural covariance network.

Results: We found T2NAFLD group had worse glucose and lipid profiles, more obesity and more severe insulin resistance, and poorer working memory compared to T2noNAFLD and NC. T2D patients demonstrated increase in cortical thickness compared to NC, but no difference between the two T2D groups. The structural covariance network integration decreased in T2D patients, with T2NAFLD exhibiting more obvious network reconfiguration at node level. Cortical thickness partially mediated the relationship between post-prandial glucose, waist-hip ratio, and working memory.

Conclusion: The findings suggest that cortical thickening may be a compensatory response to reduced network integration, with NAFLD exacerbating regional structural network changes in T2D. This research advances our understanding of how these metabolic comorbidities contribute to cognitive decline, potentially guiding future therapeutic strategies for T2D patients with and without NAFLD.

Note:
Funding declaration: This study was supported by the National Science and Technology Innovation 2030 Major Projects of "Brain Science and Brain-Like Research" (2022ZD0211800); the National Natural Science Foundation of China (82302172); the Jiangsu Funding Program for Excellent Postdoctoral Talent (2022ZB694); the funding for Clinical Trials from the Affiliated Drum Tower Hospital, Medical School of Nanjing University (2022-LCYJ-PY-15 and 2022-LCYJ-MS-03).

Conflict of Interests: No potential conflicts of interest relevant to this article were reported.

Ethical Approval: This study was approved by the Ethics Committee of the Nanjing Drum Tower Hospital in line with the Declaration of Helsinki (2017-017-01).

Keywords: Type 2 diabetes, Non-alcoholic fatty liver disease, Cortical thickness, Structural covariance network analysis, Magnetic Resonance Imaging, Cognitive function

Suggested Citation

Li, Xin and Zhang, Wen and Bi, Yan and Fu, Linqing and Lu, Jiaming and Chen, Jiu and Li, Qian and Shen, Xinyi and Wu, Min and Zhang, Yi and Zhang, Xin and Zhang, Zhou and Zhu, Zhengyang and Zhang, Bing, Non-Alcoholic Fatty Liver Disease is Associated with Structural Covariance Network Reconfiguration in Cognitively Unimpaired Adults with Type 2 Diabetes. Available at SSRN: https://ssrn.com/abstract=5055611 or http://dx.doi.org/10.2139/ssrn.5055611

Xin Li

Nanjing University ( email )

Wen Zhang

Nanjing University ( email )

Yan Bi

Nanjing University - Department of Endocrinology, Endocrine and Metabolic Disease ( email )

Linqing Fu

Nanjing University ( email )

Jiaming Lu

Nanjing University - The Affiliated Drum Tower Hospital ( email )

China

Jiu Chen

Nanjing University - The Affiliated Drum Tower Hospital ( email )

Qian Li

Nanjing University ( email )

Xinyi Shen

Nanjing University ( email )

Min Wu

Nanjing University ( email )

Yi Zhang

Nanjing University ( email )

Xin Zhang

Nanjing University - The Affiliated Drum Tower Hospital ( email )

China

Zhou Zhang

Nanjing University - Department of Endocrinology, Endocrine and Metabolic Disease ( email )

Zhengyang Zhu

Nanjing University ( email )

Bing Zhang (Contact Author)

Nanjing University - The Affiliated Drum Tower Hospital ( email )

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