Hippocampal iron patterns in aging and mild cognitive impairment.

IF 4.1 2区医学 Q2 GERIATRICS & GERONTOLOGY

Frontiers in Aging Neuroscience Pub Date : 2025-07-02 eCollection Date: 2025-01-01 DOI:10.3389/fnagi.2025.1598859

Sonja M Kagerer, Laetitia Vionnet, Jiri M G van Bergen, Rafael Meyer, Anton F Gietl, Klaas P Pruessmann, Christoph Hock, Paul G Unschuld

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引用次数: 0

Abstract

Introduction: The entorhinal cortex (EC)-hippocampus system is critical for memory and affected early in Alzheimer's disease (AD). Cognitive dysfunction in AD is linked to neuropathological changes, including non-heme iron accumulation in vulnerable brain regions. This study characterized iron distribution in the EC-hippocampus system using ultra-high field (UHF) magnetic resonance imaging (MRI) at 7 Tesla (T) in aging and mild cognitive impairment (MCI), an AD at-risk state.

Methods: 40 participants (mean age [SD] 69.2 [7.42] years; 12 mild cognitive impairment (MCI), 28 cognitively healthy controls (HC)) underwent UHF MRI at 7 T with turbo spin echo and quantitative susceptibility mapping (QSM). Gray matter segmentation was performed using FreeSurfer software. Intraclass correlation coefficients (ICCs) were calculated for hippocampal and EC measures.

Results: ICCs for mean susceptibilities were 0.61 overall, 0.58 for HC, and 0.69 for MCI, with significant group differences between HC and MCI (Kolmogorov-Smirnov test, k = 0.625, p ≤ 0.05).

Discussion: Our findings suggest a higher coherence of non-heme iron distribution in MCI. An increasingly uniform distribution of iron in MCI could reflect a clinical continuum ranging from healthy aging to pathologic brain change and cognitive disorder. This highlights the potential of non-heme iron as a biomarker for early AD co-pathology.

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衰老和轻度认知障碍中的海马铁模式。

内嗅皮层(EC)-海马体系统对记忆至关重要，并在阿尔茨海默病（AD）早期受到影响。AD患者的认知功能障碍与神经病理改变有关，包括易感脑区非血红素铁的积累。本研究利用7特斯拉(T)时的超高场（UHF）磁共振成像（MRI），对老年和轻度认知障碍（MCI） AD高危状态下ec -海马系统中的铁分布进行了研究。方法：40例受试者，平均年龄[SD] 69.2[7.42]岁；12例轻度认知障碍患者（MCI）和28例认知健康对照组（HC）在7 T时进行了UHF MRI，并进行了涡轮自旋回波和定量易感性制图（QSM）。使用FreeSurfer软件进行灰质分割。计算海马和EC测量的类内相关系数（ICCs）。结果：总体平均敏感性ICCs为0.61，HC为0.58，MCI为0.69，HC与MCI组间差异有统计学意义（Kolmogorov-Smirnov检验，k = 0.625,p ≤ 0.05）。讨论：我们的研究结果表明，非血红素铁在MCI中的分布具有更高的一致性。MCI中铁的分布越来越均匀，可以反映从健康衰老到病理性脑变化和认知障碍的临床连续体。这突出了非血红素铁作为早期阿尔茨海默病共同病理的生物标志物的潜力。

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

Frontiers in Aging Neuroscience GERIATRICS & GERONTOLOGY-NEUROSCIENCES

CiteScore

6.30

自引率

8.30%

发文量

1426

期刊介绍： Frontiers in Aging Neuroscience is a leading journal in its field, publishing rigorously peer-reviewed research that advances our understanding of the mechanisms of Central Nervous System aging and age-related neural diseases. Specialty Chief Editor Thomas Wisniewski at the New York University School of Medicine is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.