Department of Pediatrics, UCLA School of Medicine, Mattel Children's Hospital UCLA, USA.
Mol Genet Metab. 2019 Sep-Oct;128(1-2):14-18. doi: 10.1016/j.ymgme.2019.07.007. Epub 2019 Jul 16.
In 2000 and 2001, we described factors that lead to the phenotypes of individuals with "simple," "single" gene disorders, like inherited metabolic disorders, being complex, multi-genic traits. These factors include functional thresholds, genetic and environmental modifiers, and systems dynamics, encompassing metabolic control analysis and scale-free, hub-and-spoke networks. This mini-review will consider topics influencing complexity developed in the ensuing nearly two decades, such as "synergistic heterozygosity" and "moonlighting proteins." There will be a focus on the value of the measurement of flux in evaluating the metabolome to ascertain phenotypic variability and the potential role of the gut microbiome in metabolomic flux. A point-of-care metabolomics tool, under development to improve the real time, inter-operative ascertainment of tumor margins and similar devices, will provide opportunities to improve acute care and ongoing management of individuals with inherited metabolic disorders.
在 2000 年和 2001 年,我们描述了导致具有“简单”、“单一”基因突变疾病表型的个体的因素,例如遗传性代谢紊乱,是复杂的、多基因特征。这些因素包括功能阈值、遗传和环境修饰因子,以及系统动力学,包括代谢控制分析和无尺度、枢纽和辐条网络。这篇小综述将考虑在随后的近二十年中发展起来的影响复杂性的主题,例如“协同杂合性”和“兼职蛋白”。将重点关注测量通量在评估代谢组以确定表型可变性以及肠道微生物组在代谢通量中的潜在作用的价值。正在开发一种即时护理代谢组学工具,以改善实时、术中确定肿瘤边缘和类似设备的能力,这将为改善遗传性代谢紊乱患者的急性护理和持续管理提供机会。