Age-Trajectories of Higher-Order Diffusion Properties of Major Brain Metabolites in Cerebral and Cerebellar Gray Matter Using In Vivo Diffusion-Weighted MR Spectroscopy at 3T

IF 7.1 1区 医学 Q1 Biochemistry, Genetics and Molecular Biology Aging Cell Pub Date : 2025-01-16 DOI:10.1111/acel.14477
Kadir Şimşek, Cécile Gallea, Guglielmo Genovese, Stephane Lehéricy, Francesca Branzoli, Marco Palombo
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Abstract

Healthy brain aging involves changes in both brain structure and function, including alterations in cellular composition and microstructure across brain regions. Unlike diffusion-weighted MRI (dMRI), diffusion-weighted MR spectroscopy (dMRS) can assess cell-type specific microstructural changes, providing indirect information on both cell composition and microstructure through the quantification and interpretation of metabolites' diffusion properties. This work investigates age-related changes in the higher-order diffusion properties of total N-Acetyl-aspartate (neuronal biomarker), total choline (glial biomarker), and total creatine (both neuronal and glial biomarker) beyond the classical apparent diffusion coefficient in cerebral and cerebellar gray matter of healthy human brain. Twenty-five subjects were recruited and scanned using a diffusion-weighted semi-LASER sequence in two brain regions-of-interest (ROI) at 3T: posterior-cingulate (PCC) and cerebellar cortices. Metabolites' diffusion was characterized by quantifying metrics from both Gaussian and non-Gaussian signal representations and biophysical models. All studied metabolites exhibited lower apparent diffusivities and higher apparent kurtosis values in the cerebellum compared to the PCC, likely stemming from the higher microstructural complexity of cellular composition in the cerebellum. Multivariate regression analysis (accounting for ROI tissue composition as a covariate) showed slight decrease (or no change) of all metabolites' diffusivities and slight increase of all metabolites' kurtosis with age, none of which statistically significant (p > 0.05). The proposed age-trajectories provide benchmarks for identifying anomalies in the diffusion properties of major brain metabolites which could be related to pathological mechanisms altering both the brain microstructure and cellular composition.

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3T活体弥散加权磁共振光谱研究大脑和小脑灰质中主要脑代谢物高阶扩散特性的年龄轨迹
健康的大脑衰老涉及大脑结构和功能的变化,包括大脑区域细胞组成和微观结构的改变。与扩散加权磁共振成像(dMRI)不同,扩散加权磁共振光谱(dMRS)可以评估细胞类型特定的微观结构变化,通过对代谢物扩散特性的量化和解释,提供细胞组成和微观结构的间接信息。本研究研究了总n -乙酰-天冬氨酸(神经元生物标志物)、总胆碱(神经胶质生物标志物)和总肌酸(神经元和神经胶质生物标志物)在健康人大脑和小脑灰质中超越经典表观扩散系数的高阶扩散特性的年龄相关变化。招募了25名受试者,并使用弥散加权半激光序列在3T的两个脑感兴趣区(ROI)进行扫描:扣带回后(PCC)和小脑皮质。利用高斯和非高斯信号表示和生物物理模型的量化指标来表征代谢物的扩散。与PCC相比,所有研究的代谢物在小脑中表现出较低的表观扩散率和较高的表观峰度值,可能是由于小脑中细胞组成的微观结构复杂性较高。多因素回归分析(考虑ROI组织组成作为协变量)显示,随着年龄的增长,所有代谢物的扩散系数略有下降(或无变化),所有代谢物的峰度略有上升,但均无统计学意义(p > 0.05)。提出的年龄轨迹为识别主要脑代谢物扩散特性的异常提供了基准,这些异常可能与改变大脑微观结构和细胞组成的病理机制有关。
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来源期刊
Aging Cell
Aging Cell 生物-老年医学
CiteScore
14.40
自引率
2.60%
发文量
212
审稿时长
8 weeks
期刊介绍: Aging Cell, an Open Access journal, delves into fundamental aspects of aging biology. It comprehensively explores geroscience, emphasizing research on the mechanisms underlying the aging process and the connections between aging and age-related diseases.
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