Soares Ana Francisca, Gruetter Rolf, Lei Hongxia
Laboratory for Functional and Metabolic Imaging (LIFMET), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Laboratory for Functional and Metabolic Imaging (LIFMET), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; Department of Radiology, University of Genève (UNIGE), Switzerland; Center for Biomedical Imaging (CIBM), Lausanne, Switzerland; Department of Radiology, University of Lausanne (UNIL), Switzerland.
Anal Biochem. 2017 Jul 15;529:117-126. doi: 10.1016/j.ab.2016.12.023. Epub 2016 Dec 26.
In the brain, glycogen is a source of glucose not only in emergency situations but also during normal brain activity. Altered brain glycogen metabolism is associated with energetic dysregulation in pathological conditions, such as diabetes or epilepsy. Both in humans and animals, brain glycogen levels have been assessed non-invasively by Carbon-13 Magnetic Resonance Spectroscopy (C-MRS) in vivo. With this approach, glycogen synthesis and degradation may be followed in real time, thereby providing valuable insights into brain glycogen dynamics. However, compared to the liver and muscle, where glycogen is abundant, the sensitivity for detection of brain glycogen by C-MRS is inherently low. In this review we focus on strategies used to optimize the sensitivity for C-MRS detection of glycogen. Namely, we explore several technical perspectives, such as magnetic field strength, field homogeneity, coil design, decoupling, and localization methods. Furthermore, we also address basic principles underlying the use of C-labeled precursors to enhance the detectable glycogen signal, emphasizing specific experimental aspects relevant for obtaining kinetic information on brain glycogen.
在大脑中,糖原不仅在紧急情况下,而且在正常脑活动期间都是葡萄糖的来源。大脑糖原代谢的改变与糖尿病或癫痫等病理状况下的能量失调有关。在人类和动物中,均已通过碳-13磁共振波谱(C-MRS)在体非侵入性评估了大脑糖原水平。采用这种方法,可以实时跟踪糖原的合成和降解,从而为大脑糖原动态提供有价值的见解。然而,与糖原丰富的肝脏和肌肉相比,C-MRS检测大脑糖原的灵敏度本质上较低。在本综述中,我们重点关注用于优化C-MRS检测糖原灵敏度的策略。具体而言,我们探讨了几个技术层面,如磁场强度、场均匀性、线圈设计、去耦和定位方法。此外,我们还阐述了使用碳标记前体增强可检测糖原信号的基本原理,强调了与获取大脑糖原动力学信息相关的特定实验方面。