D'Ascenzo Nicola, Antonecchia Emanuele, Angiolillo Antonella, Bender Victor, Camerlenghi Marco, Xie Qingguo, Di Costanzo Alfonso
Huazhong University of Science and Technology, Wuhan, China.
Department of Medical Physics and Engineering, Istituto Neurologico Mediterraneo NEUROMED I.R.C.C.S., Pozzilli, Italy.
Cell Biosci. 2022 Jul 6;12(1):102. doi: 10.1186/s13578-022-00831-5.
Parkinson's Disease (PD) is the second most frequent degenerative disorder, the risk of which increases with age. A preclinical PD diagnostic test does not exist. We identify PD blood metabolites and metabolic pathways significantly correlated with age to develop personalized age-dependent PD blood biomarkers.
We found 33 metabolites producing a receiver operating characteristic (ROC) area under the curve (AUC) value of 97%. PCA revealed that they belong to three pathways with distinct age-dependent behavior: glycine, threonine and serine metabolism correlates with age only in PD patients; unsaturated fatty acids biosynthesis correlates with age only in a healthy control group; and, finally, tryptophan metabolism characterizes PD but does not correlate with age.
The targeted analysis of the blood metabolome proposed in this paper allowed to find specific age-related metabolites and metabolic pathways. The model offers a promising set of blood biomarkers for a personalized age-dependent approach to the early PD diagnosis.
帕金森病(PD)是第二常见的退行性疾病,其风险随年龄增长而增加。目前尚无临床前PD诊断测试。我们识别出与年龄显著相关的PD血液代谢物和代谢途径,以开发个性化的年龄依赖性PD血液生物标志物。
我们发现33种代谢物产生的曲线下受试者工作特征(ROC)面积(AUC)值为97%。主成分分析(PCA)显示,它们属于三种具有不同年龄依赖性行为的途径:甘氨酸、苏氨酸和丝氨酸代谢仅在PD患者中与年龄相关;不饱和脂肪酸生物合成仅在健康对照组中与年龄相关;最后,色氨酸代谢是PD的特征,但与年龄无关。
本文提出的血液代谢组靶向分析能够找到特定的与年龄相关的代谢物和代谢途径。该模型为早期PD诊断的个性化年龄依赖性方法提供了一组有前景的血液生物标志物。