Valette Julien, Ligneul Clémence, Marchadour Charlotte, Najac Chloé, Palombo Marco
Commissariat à l'Energie Atomique et aux Energies Alternatives, MIRCen, Fontenay-aux-Roses, France.
Neurodegenerative Diseases Laboratory, Centre National de la Recherche Scientifique, Université Paris-Sud, Université Paris-Saclay, UMR 9199, Fontenay-aux-Roses, France.
Front Neurosci. 2018 Jan 19;12:2. doi: 10.3389/fnins.2018.00002. eCollection 2018.
diffusion-weighted MR spectroscopy (DW-MRS) allows measuring diffusion properties of brain metabolites. Unlike water, most metabolites are confined within cells. Hence, their diffusion is expected to purely reflect intracellular properties, opening unique possibilities to use metabolites as specific probes to explore cellular organization and structure. However, interpretation and modeling of DW-MRS, and more generally of intracellular diffusion, remains difficult. In this perspective paper, we will focus on the study of the time-dependency of brain metabolite apparent diffusion coefficient (ADC). We will see how measuring ADC over several orders of magnitude of diffusion times, from less than 1 ms to more than 1 s, allows clarifying our understanding of brain metabolite diffusion, by firmly establishing that metabolites are neither massively transported by active mechanisms nor massively confined in subcellular compartments or cell bodies. Metabolites appear to be instead diffusing in long fibers typical of neurons and glial cells such as astrocytes. Furthermore, we will evoke modeling of ADC time-dependency to evaluate the effect of, and possibly quantify, some structural parameters at various spatial scales, departing from a simple model of hollow cylinders and introducing additional complexity, either short-ranged (such as dendritic spines) or long-ranged (such as cellular fibers ramification). Finally, we will discuss the experimental feasibility and expected benefits of extending the range of diffusion times toward even shorter and longer values.
扩散加权磁共振波谱(DW-MRS)能够测量脑代谢物的扩散特性。与水不同,大多数代谢物局限于细胞内。因此,它们的扩散预计纯粹反映细胞内特性,为利用代谢物作为探索细胞组织和结构的特定探针提供了独特的可能性。然而,DW-MRS以及更一般的细胞内扩散的解释和建模仍然困难。在这篇观点论文中,我们将专注于研究脑代谢物表观扩散系数(ADC)的时间依赖性。我们将看到,在从小于1毫秒到大于1秒的几个数量级的扩散时间内测量ADC,如何通过明确代谢物既不是通过主动机制大量运输,也不是大量局限于亚细胞区室或细胞体,从而澄清我们对脑代谢物扩散的理解。相反,代谢物似乎在神经元和胶质细胞(如星形胶质细胞)典型的长纤维中扩散。此外,我们将探讨ADC时间依赖性的建模,以评估各种空间尺度上某些结构参数的影响,并可能对其进行量化,从简单的空心圆柱体模型出发,引入额外的复杂性,无论是短程的(如树突棘)还是长程的(如细胞纤维分支)。最后,我们将讨论将扩散时间范围扩展到更短和更长值的实验可行性和预期益处。