The Role of Iron Homeostasis Imbalance in T2DM-Associated Cognitive Dysfunction: A Prospective Cohort Study Utilizing Quantitative Susceptibility Mapping

IF 3.3 2区 医学 Q1 NEUROIMAGING
Zhenyu Cheng, Linfeng Yang, Meng Li, Qihao Zhang, Jing Li, Nan Zhang, Yena Che, Yiwen Chen, Pengcheng Liang, Yuanyuan Wang, Na Wang, Xinyue Zhang, Changhu Liang, Lingfei Guo
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引用次数: 0

Abstract

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder that significantly impacts cognitive health. Although the vascular complications of T2DM have been extensively studied, research on brain iron deposition in T2DM remains scarce, and few studies have directly linked iron accumulation in cognition-related subcortical nuclei to cognitive dysfunction. This study aims to evaluate brain iron deposition using quantitative susceptibility mapping (QSM) and identify key subcortical nuclei associated with T2DM-related cognitive decline. A total of 224 participants were recruited, including 112 T2DM patients and 112 healthy controls. QSM was used to assess iron deposition in subcortical nuclei. Structural equation modeling was employed to construct interaction models between metabolic changes, susceptibility values, and cognitive function. Additionally, polynomial regression analysis was performed to evaluate the association between glycemic variability and the QSM values of subcortical nuclei. Our findings confirmed that T2DM patients exhibited pronounced iron deposition in the caudate and putamen compared to healthy controls. Correlation analyses showed that higher QSM values in the anterior putamen, posterior putamen, and posterior caudate were associated with slower processing speed (SDMT), reduced memory performance (AVLT) and poorer executive function (TMT, SCWT), indicating that greater iron accumulation in these nuclei is associated with poorer cognitive performance. In our SEM, metabolic dysregulation was significantly associated with higher subcortical susceptibility (β = 0.224, p = 0.010). The model further demonstrated that susceptibility values partially mediated the effect of metabolic factors on cognition (indirect effect β = −0.056, p = 0.018) and that the overall impact of metabolic dysregulation on cognition remained significant (β = −0.142, p = 0.037). Polynomial regression found that HbA1c was the strongest predictor of anterior putamen susceptibility, and a similar pattern was observed in the posterior caudate. The study demonstrates that the role of brain iron deposition in T2DM-related cognitive dysfunction. These findings reveal an important underlying mechanism of T2DM-induced cognitive impairment and provide evidence for early intervention strategies to mitigate cognitive decline in T2DM patients.

Abstract Image

铁稳态失衡在t2dm相关认知功能障碍中的作用:一项利用定量易感性制图的前瞻性队列研究
2型糖尿病(T2DM)是一种慢性代谢性疾病,严重影响认知健康。虽然T2DM的血管并发症已被广泛研究,但对T2DM患者脑铁沉积的研究仍然很少,很少有研究将认知相关皮质下核的铁积累与认知功能障碍直接联系起来。本研究旨在利用定量易感性图谱(QSM)评估脑铁沉积,并确定与t2dm相关认知能力下降相关的关键皮质下核。总共招募了224名参与者,包括112名T2DM患者和112名健康对照者。QSM用于评价皮质下核的铁沉积。采用结构方程模型构建代谢变化、易感性值与认知功能之间的相互作用模型。此外,采用多项式回归分析评估血糖变异性与皮质下核QSM值之间的关系。我们的研究结果证实,与健康对照相比,T2DM患者在尾状核和壳核中表现出明显的铁沉积。相关分析显示,较高的壳核前部、壳核后部和尾状后核QSM值与较慢的加工速度(SDMT)、较低的记忆性能(AVLT)和较差的执行功能(TMT、SCWT)相关,表明这些核中较高的铁积累与较差的认知性能相关。在我们的扫描电镜中,代谢失调与较高的皮质下易感性显著相关(β = 0.224, p = 0.010)。该模型进一步表明,易感性值部分介导了代谢因素对认知的影响(间接影响β = - 0.056, p = 0.018),代谢失调对认知的总体影响仍然显著(β = - 0.142, p = 0.037)。多项式回归发现HbA1c是前壳核易感性的最强预测因子,后尾状核也观察到类似的模式。本研究提示脑铁沉积在t2dm相关认知功能障碍中的作用。这些发现揭示了T2DM诱导认知障碍的重要潜在机制,并为减轻T2DM患者认知能力下降的早期干预策略提供了证据。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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