Brain Iron in signature regions relating to cognitive aging in older adults: the Taizhou Imaging Study.

IF 7.9 1区医学 Q1 CLINICAL NEUROLOGY

Alzheimer's Research & Therapy Pub Date : 2024-10-02 DOI:10.1186/s13195-024-01575-9

Rui Li, Yi-Ren Fan, Ying-Zhe Wang, He-Yang Lu, Pei-Xi Li, Qiang Dong, Yan-Feng Jiang, Xing-Dong Chen, Mei Cui

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引用次数: 0

Abstract

Background: Recent magnetic resonance imaging (MRI) studies have established that brain iron accumulation might accelerate cognitive decline in Alzheimer's disease (AD) patients. Both normal aging and AD are associated with cerebral atrophy in specific regions. However, no studies have investigated aging- and AD-selective iron deposition-related cognitive changes during normal aging. Here, we applied quantitative susceptibility mapping (QSM) to detect iron levels in cortical signature regions and assessed the relationships among iron, atrophy, and cognitive changes in older adults.

Methods: In this Taizhou Imaging Study, 770 older adults (mean age 62.0 ± 4.93 years, 57.5% women) underwent brain MRI to measure brain iron and atrophy, of whom 219 underwent neuropsychological tests nearly every 12 months for up to a mean follow-up of 2.68 years. Global cognition was assessed using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Domain-specific cognitive scores were obtained from MoCA subscore components. Regional analyses were performed for cortical regions and 2 signature regions where atrophy affected by aging and AD only: Aging (AG) -specific and AD signature meta-ROIs. The QSM and cortical morphometry means of the above ROIs were also computed.

Results: Significant associations were found between QSM levels and cognitive scores. In particular, after adjusting for cortical thickness of regions of interest (ROIs), participants in the upper tertile of the cortical and AG-specific signature QSM exhibited worse ZMMSE than did those in the lower tertile [ $β$ = -0.104, p = 0.026; $β$ = -0.118, p = 0.021, respectively]. Longitudinal analysis suggested that QSM values in all ROIs might predict decline in ZMoCA and key domains such as attention and visuospatial function (all p < 0.05). Furthermore, iron levels were negatively correlated with classic MRI markers of cortical atrophy (cortical thickness, gray matter volume, and local gyrification index) in total, AG-specific signature and AD signature regions (all p < 0.05).

Conclusion: AG- and AD-selective iron deposition was associated with atrophy and cognitive decline in elderly people, highlighting its potential as a neuroimaging marker for cognitive aging.

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与老年人认知老化有关的特征区域的脑铁：台州影像研究。

背景：最近的磁共振成像（MRI）研究证实，脑铁积累可能会加速阿尔茨海默病（AD）患者认知能力的衰退。正常衰老和阿尔茨海默病都与特定区域的脑萎缩有关。然而，还没有研究调查过正常衰老过程中与衰老和阿兹海默症选择性铁沉积相关的认知变化。在此，我们应用定量易感性图谱（QSM）检测大脑皮层特征区域的铁含量，并评估老年人铁、萎缩和认知变化之间的关系：在这项台州成像研究中，770名老年人（平均年龄为62.0 ± 4.93岁，57.5%为女性）接受了脑磁共振成像以测量脑铁和脑萎缩，其中219人几乎每12个月接受一次神经心理学测试，平均随访时间长达2.68年。总体认知能力采用迷你精神状态检查（MMSE）和蒙特利尔认知评估（MoCA）进行评估。特定领域的认知分数由 MoCA 的子分数构成。对皮质区域以及仅受老龄化和注意力缺失症萎缩影响的 2 个特征区域进行了区域分析：衰老（AG）特异性和AD特征性元ROI。同时还计算了上述ROI的QSM和皮质形态测量平均值：结果：QSM水平与认知评分之间存在显著关联。特别是，在对感兴趣区（ROIs）的皮质厚度进行调整后，皮质和AG特异性特征QSM的上三分层参与者的ZMMSE比下三分层参与者更差[β = -0.104，p = 0.026；β = -0.118，p = 0.021]。纵向分析表明，所有 ROI 中的 QSM 值均可预测 ZMoCA 以及注意力和视觉空间功能等关键领域的下降（所有 p 均为结论）：AG和AD选择性铁沉积与老年人脑萎缩和认知能力下降有关，突出了其作为认知老化神经影像标记物的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Alzheimer's Research & Therapy 医学-神经病学

CiteScore

13.10

自引率

3.30%

发文量

172

审稿时长

>12 weeks

期刊介绍： Alzheimer's Research & Therapy is an international peer-reviewed journal that focuses on translational research into Alzheimer's disease and other neurodegenerative diseases. It publishes open-access basic research, clinical trials, drug discovery and development studies, and epidemiologic studies. The journal also includes reviews, viewpoints, commentaries, debates, and reports. All articles published in Alzheimer's Research & Therapy are included in several reputable databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, MEDLINE, PubMed, PubMed Central, Science Citation Index Expanded (Web of Science) and Scopus.