Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Vaud, Switzerland.
Magnetic Resonance Research Center and Department of Psychiatry, Yale University, New Haven, Connecticut, USA.
NMR Biomed. 2021 May;34(5):e4393. doi: 10.1002/nbm.4393. Epub 2020 Nov 25.
Proton MR spectra of the brain, especially those measured at short and intermediate echo times, contain signals from mobile macromolecules (MM). A description of the main MM is provided in this consensus paper. These broad peaks of MM underlie the narrower peaks of metabolites and often complicate their quantification but they also may have potential importance as biomarkers in specific diseases. Thus, separation of broad MM signals from low molecular weight metabolites enables accurate determination of metabolite concentrations and is of primary interest in many studies. Other studies attempt to understand the origin of the MM spectrum, to decompose it into individual spectral regions or peaks and to use the components of the MM spectrum as markers of various physiological or pathological conditions in biomedical research or clinical practice. The aim of this consensus paper is to provide an overview and some recommendations on how to handle the MM signals in different types of studies together with a list of open issues in the field, which are all summarized at the end of the paper.
脑质子磁共振波谱，尤其是那些在短和中等回波时间测量的，包含来自移动大分子（MM）的信号。本共识文件提供了对主要 MM 的描述。这些 MM 的宽峰位于代谢物的较窄峰之下，常常使它们的定量复杂化，但它们也可能作为特定疾病的生物标志物具有潜在的重要性。因此，将宽 MM 信号与低分子量代谢物分离，可实现对代谢物浓度的准确测定，这是许多研究的主要关注点。其他研究试图了解 MM 谱的起源，将其分解为单个谱区或峰，并将 MM 谱的组成部分用作生物医学研究或临床实践中各种生理或病理状态的标志物。本共识文件的目的是概述和提供一些建议，说明如何在不同类型的研究中处理 MM 信号，以及该领域的一些未解决问题，这些问题都在文末进行了总结。
