Many studies have reported metabolomic analysis of different bio-specimens from Parkinson’s disease (PD) patients. However, inconsistencies in reported metabolite concentration changes make it difficult to draw conclusions as to the role of metabolism in the occurrence or development of Parkinson’s disease. We reviewed the literature on metabolomic analysis of PD patients. From 74 studies that passed quality control metrics, 928 metabolites were identified with significant changes in PD patients, but only 190 were replicated with the same changes in more than one study. Of these metabolites, 60 exclusively increased, such as 3-methoxytyrosine and glycine, 54 exclusively decreased, such as pantothenic acid and caffeine, and 76 inconsistently changed in concentration in PD versus control subjects, such as ornithine and tyrosine. A genome-scale metabolic model of PD and corresponding metabolic map linking most of the replicated metabolites enabled a better understanding of the dysfunctional pathways of PD and the prediction of additional potential metabolic markers from pathways with consistent metabolite changes to target in future studies.

许多研究报告了帕金森病 (PD) 患者不同生物样本的代谢组学分析。然而，报道的代谢物浓度变化的不一致使得很难就代谢在帕金森病的发生或发展中的作用得出结论。我们回顾了有关帕金森病患者代谢组学分析的文献。从通过质量控制指标的 74 项研究中，发现 928 种代谢物在 PD 患者中发生显着变化，但只有 190 种代谢物在不止一项研究中重复出现相同的变化。在这些代谢物中，60 种完全增加，例如 3-甲氧基酪氨酸和甘氨酸，54 种完全减少，例如泛酸和咖啡因，76 种与对照受试者相比，PD 中的浓度变化不一致，例如鸟氨酸和酪氨酸。 PD 的基因组规模代谢模型和连接大多数复制代谢物的相应代谢图谱使我们能够更好地了解 PD 的功能障碍途径，并从具有一致的代谢物变化的途径中预测其他潜在的代谢标记物，以实现未来研究的目标。