Department of Biomedical Engineering, Stony Brook University, Stony Brook, United States.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States.
Elife. 2022 May 24;11:e73138. doi: 10.7554/eLife.73138.
Type 2 diabetes mellitus (T2DM) is known to be associated with neurobiological and cognitive deficits; however, their extent, overlap with aging effects, and the effectiveness of existing treatments in the context of the brain are currently unknown.
We characterized neurocognitive effects independently associated with T2DM and age in a large cohort of human subjects from the UK Biobank with cross-sectional neuroimaging and cognitive data. We then proceeded to evaluate the extent of overlap between the effects related to T2DM and age by applying correlation measures to the separately characterized neurocognitive changes. Our findings were complemented by meta-analyses of published reports with cognitive or neuroimaging measures for T2DM and healthy controls (HCs). We also evaluated in a cohort of T2DM-diagnosed individuals using UK Biobank how disease chronicity and metformin treatment interact with the identified neurocognitive effects.
The UK Biobank dataset included cognitive and neuroimaging data (N = 20,314), including 1012 T2DM and 19,302 HCs, aged between 50 and 80 years. Duration of T2DM ranged from 0 to 31 years (mean 8.5 ± 6.1 years); 498 were treated with metformin alone, while 352 were unmedicated. Our meta-analysis evaluated 34 cognitive studies (N = 22,231) and 60 neuroimaging studies: 30 of T2DM (N = 866) and 30 of aging (N = 1088). Compared to age, sex, education, and hypertension-matched HC, T2DM was associated with marked cognitive deficits, particularly in and . Likewise, we found that the diagnosis of T2DM was significantly associated with gray matter atrophy, primarily within the , , and , with reorganization of brain activity (decreased in the and and increased in the , and ). The structural and functional changes associated with T2DM show marked overlap with the effects correlating with age but appear earlier, with disease duration linked to more severe neurodegeneration. Metformin treatment status was not associated with improved neurocognitive outcomes.
The neurocognitive impact of T2DM suggests marked acceleration of normal brain aging. T2DM gray matter atrophy occurred approximately 26% ± 14% faster than seen with normal aging; disease duration was associated with increased neurodegeneration. Mechanistically, our results suggest a neurometabolic component to brain aging. Clinically, neuroimaging-based biomarkers may provide a valuable adjunctive measure of T2DM progression and treatment efficacy based on neurological effects.
The research described in this article was funded by the W. M. Keck Foundation (to LRMP), the White House Brain Research Through Advancing Innovative Technologies (BRAIN) Initiative (NSFNCS-FR 1926781 to LRMP), and the Baszucki Brain Research Fund (to LRMP). None of the funding sources played any role in the design of the experiments, data collection, analysis, interpretation of the results, the decision to publish, or any aspect relevant to the study. DJW reports serving on data monitoring committees for Novo Nordisk. None of the authors received funding or in-kind support from pharmaceutical and/or other companies to write this article.
2 型糖尿病(T2DM)已知与神经生物学和认知缺陷有关;然而,它们的程度、与衰老效应的重叠以及现有治疗方法在大脑中的有效性目前尚不清楚。
我们使用来自英国生物库的大量人类受试者的横断面神经影像学和认知数据,独立描述与 T2DM 和年龄相关的神经认知效应。然后,我们通过将单独表征的神经认知变化相关联来评估与 T2DM 相关的效应与年龄相关的效应之间的重叠程度。我们的发现通过对 T2DM 和健康对照组(HC)的认知或神经影像学测量的已发表报告的荟萃分析得到了补充。我们还在使用英国生物库的 T2DM 诊断个体中评估了疾病的慢性和二甲双胍治疗如何与确定的神经认知效应相互作用。
英国生物库数据集包括认知和神经影像学数据(N=20,314),包括 1012 例 T2DM 和 19,302 例 HC,年龄在 50 至 80 岁之间。T2DM 的持续时间从 0 到 31 年不等(平均 8.5±6.1 年);498 例单独接受二甲双胍治疗,352 例未接受治疗。我们的荟萃分析评估了 34 项认知研究(N=22,231)和 60 项神经影像学研究:30 项 T2DM(N=866)和 30 项衰老(N=1088)。与年龄、性别、教育和高血压匹配的 HC 相比,T2DM 与明显的认知缺陷相关,特别是在 和 。同样,我们发现 T2DM 的诊断与灰质萎缩显著相关,主要发生在 、 、 和 ,大脑活动的重组( 和 减少, 和 增加)。与 T2DM 相关的结构和功能变化与与年龄相关的效应具有明显的重叠,但出现得更早,疾病持续时间与更严重的神经退行性变有关。二甲双胍治疗状况与改善的神经认知结果无关。
T2DM 的神经认知影响表明正常大脑老化的明显加速。T2DM 灰质萎缩的速度比正常衰老快约 26%±14%;疾病持续时间与神经退行性变的增加有关。从机制上讲,我们的结果表明脑老化存在神经代谢成分。从临床角度来看,基于神经影像学的生物标志物可能为基于神经学效果的 T2DM 进展和治疗效果提供有价值的辅助衡量标准。
本文所述的研究由 W. M. Keck 基金会(LRMP)、白宫脑研究推进创新技术(BRAIN)倡议(NSFNCS-FR 1926781 至 LRMP)和巴斯祖基脑研究基金(LRMP)资助。没有任何资助来源参与实验设计、数据收集、分析、结果解释、发表决定或与研究相关的任何方面。DJW 报告在 Novo Nordisk 的数据监测委员会任职。没有任何作者从制药和/或其他公司获得资金或实物支持来撰写本文。