Ying Yu , Bo Hu , Xin-Wen Yu , Yan-Yan Cui , Xin-Yu Cao , Min-Hua Ni , Si-Ning Li , Pan Dai , Qian Sun , Xiao-Yan Bai , Yao Tong , Xiao-Rui Jing , Ai-Li Yang , Sheng-Ru Liang , Li-Juan Du , Shuo Guo , Lin-Feng Yan , Bin Gao , Guang-Bin Cui
{"title":"2型糖尿病患者额顶皮层-壳核-小脑网络的神经血管解耦:异常饮食模式的潜在生物标志物","authors":"Ying Yu , Bo Hu , Xin-Wen Yu , Yan-Yan Cui , Xin-Yu Cao , Min-Hua Ni , Si-Ning Li , Pan Dai , Qian Sun , Xiao-Yan Bai , Yao Tong , Xiao-Rui Jing , Ai-Li Yang , Sheng-Ru Liang , Li-Juan Du , Shuo Guo , Lin-Feng Yan , Bin Gao , Guang-Bin Cui","doi":"10.1016/j.diabres.2025.112175","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><div>High rates of dropout and binge eating triggered by restrictive diet limit the effectiveness of dietary interventions in type 2 diabetes mellitus (T2DM). However, it remains unclear what the potential central underpinnings of T2DM-specific dietary behavior characteristics are.</div></div><div><h3>Methods</h3><div>41 T2DM patients and 43 matched healthy controls (HC) who underwent resting state functional MRI were enrolled to screen for the suspicious network by effective connectivity (EC) analysis and to explore its dynamic temporal and neurovascular coupling properties. Additionally, the timeline of neuropathological changes during T2DM progression was evaluated.</div></div><div><h3>Results</h3><div>Increased uncontrolled eating, internal and external loci of hunger were found in T2DM. EC of the frontoparietal cortex–putamen–cerebellum network was significantly higher in T2DM patients (<em>P</em> = 0.023). The fractional windows (<em>P</em> = 0.009) and mean dwell time (<em>P</em> = 0.009) of the densest state were significantly higher in T2DM patients. Neurovascular decoupling of the frontoparietal cortex-putamen-cerebellum network was correlated with these T2DM-specific eating behavior characteristics. Neurovascular decoupling coefficient of right putamen (Putamen_R) changed at the very beginning of T2DM.</div></div><div><h3>Conclusion</h3><div>The frontoparietal cortex–putamen–cerebellum network was the suspicious T2DM-related abnormal eating pattern network. Neurovascular decoupling of the network, especially that of Putamen_R, occurred early and might serve as a biomarker for abnormal eating patterns in T2DM patients.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"224 ","pages":"Article 112175"},"PeriodicalIF":6.1000,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neurovascular decoupling of frontoparietal cortex-putamen-cerebellum network in type 2 diabetes patient: Potential biomarker for abnormal eating patterns\",\"authors\":\"Ying Yu , Bo Hu , Xin-Wen Yu , Yan-Yan Cui , Xin-Yu Cao , Min-Hua Ni , Si-Ning Li , Pan Dai , Qian Sun , Xiao-Yan Bai , Yao Tong , Xiao-Rui Jing , Ai-Li Yang , Sheng-Ru Liang , Li-Juan Du , Shuo Guo , Lin-Feng Yan , Bin Gao , Guang-Bin Cui\",\"doi\":\"10.1016/j.diabres.2025.112175\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><div>High rates of dropout and binge eating triggered by restrictive diet limit the effectiveness of dietary interventions in type 2 diabetes mellitus (T2DM). However, it remains unclear what the potential central underpinnings of T2DM-specific dietary behavior characteristics are.</div></div><div><h3>Methods</h3><div>41 T2DM patients and 43 matched healthy controls (HC) who underwent resting state functional MRI were enrolled to screen for the suspicious network by effective connectivity (EC) analysis and to explore its dynamic temporal and neurovascular coupling properties. Additionally, the timeline of neuropathological changes during T2DM progression was evaluated.</div></div><div><h3>Results</h3><div>Increased uncontrolled eating, internal and external loci of hunger were found in T2DM. EC of the frontoparietal cortex–putamen–cerebellum network was significantly higher in T2DM patients (<em>P</em> = 0.023). The fractional windows (<em>P</em> = 0.009) and mean dwell time (<em>P</em> = 0.009) of the densest state were significantly higher in T2DM patients. Neurovascular decoupling of the frontoparietal cortex-putamen-cerebellum network was correlated with these T2DM-specific eating behavior characteristics. Neurovascular decoupling coefficient of right putamen (Putamen_R) changed at the very beginning of T2DM.</div></div><div><h3>Conclusion</h3><div>The frontoparietal cortex–putamen–cerebellum network was the suspicious T2DM-related abnormal eating pattern network. Neurovascular decoupling of the network, especially that of Putamen_R, occurred early and might serve as a biomarker for abnormal eating patterns in T2DM patients.</div></div>\",\"PeriodicalId\":11249,\"journal\":{\"name\":\"Diabetes research and clinical practice\",\"volume\":\"224 \",\"pages\":\"Article 112175\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetes research and clinical practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168822725001895\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes research and clinical practice","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168822725001895","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Neurovascular decoupling of frontoparietal cortex-putamen-cerebellum network in type 2 diabetes patient: Potential biomarker for abnormal eating patterns
Aim
High rates of dropout and binge eating triggered by restrictive diet limit the effectiveness of dietary interventions in type 2 diabetes mellitus (T2DM). However, it remains unclear what the potential central underpinnings of T2DM-specific dietary behavior characteristics are.
Methods
41 T2DM patients and 43 matched healthy controls (HC) who underwent resting state functional MRI were enrolled to screen for the suspicious network by effective connectivity (EC) analysis and to explore its dynamic temporal and neurovascular coupling properties. Additionally, the timeline of neuropathological changes during T2DM progression was evaluated.
Results
Increased uncontrolled eating, internal and external loci of hunger were found in T2DM. EC of the frontoparietal cortex–putamen–cerebellum network was significantly higher in T2DM patients (P = 0.023). The fractional windows (P = 0.009) and mean dwell time (P = 0.009) of the densest state were significantly higher in T2DM patients. Neurovascular decoupling of the frontoparietal cortex-putamen-cerebellum network was correlated with these T2DM-specific eating behavior characteristics. Neurovascular decoupling coefficient of right putamen (Putamen_R) changed at the very beginning of T2DM.
Conclusion
The frontoparietal cortex–putamen–cerebellum network was the suspicious T2DM-related abnormal eating pattern network. Neurovascular decoupling of the network, especially that of Putamen_R, occurred early and might serve as a biomarker for abnormal eating patterns in T2DM patients.
期刊介绍:
Diabetes Research and Clinical Practice is an international journal for health-care providers and clinically oriented researchers that publishes high-quality original research articles and expert reviews in diabetes and related areas. The role of the journal is to provide a venue for dissemination of knowledge and discussion of topics related to diabetes clinical research and patient care. Topics of focus include translational science, genetics, immunology, nutrition, psychosocial research, epidemiology, prevention, socio-economic research, complications, new treatments, technologies and therapy.