Lu Mengnan, Wang Xueying, Sun Na, Huang Shaoping, Yang Lin, Li Dan
Department of Pediatrics, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
CNS Neurosci Ther. 2024 Apr;30(4):e14718. doi: 10.1111/cns.14718.
Classification of spinal muscular atrophy (SMA) is associated with the clinical prognosis; however, objective classification markers are scarce. This study aimed to identify metabolic markers in the cerebrospinal fluid (CSF) of children with SMA types II and III.
CSF samples were collected from 40 patients with SMA (27 with type II and 13 with type III) and analyzed for metabolites.
We identified 135 metabolites associated with SMA types II and III. These were associated with lysine degradation and arginine, proline, and tyrosine metabolism. We identified seven metabolites associated with the Hammersmith Functional Motor Scale: 4-chlorophenylacetic acid, adb-chminaca,(+/-)-, dodecyl benzenesulfonic acid, norethindrone acetate, 4-(undecan-5-yl) benzene-1-sulfonic acid, dihydromaleimide beta-d-glucoside, and cinobufagin. Potential typing biomarkers, N-cyclohexylformamide, cinobufagin, cotinine glucuronide, N-myristoyl arginine, 4-chlorophenylacetic acid, geranic acid, 4-(undecan-5-yl) benzene, and 7,8-diamino pelargonate, showed good predictive performance. Among these, N-myristoyl arginine was unaffected by the gene phenotype.
This study identified metabolic markers are promising candidate prognostic factors for SMA. We also identified the metabolic pathways associated with the severity of SMA. These assessments can help predict the outcomes of screening SMA classification biomarkers.
脊髓性肌萎缩症(SMA)的分类与临床预后相关;然而,客观的分类标志物却很稀缺。本研究旨在识别II型和III型SMA患儿脑脊液(CSF)中的代谢标志物。
收集了40例SMA患者(27例II型和13例III型)的CSF样本,并对代谢物进行分析。
我们识别出135种与II型和III型SMA相关的代谢物。这些代谢物与赖氨酸降解以及精氨酸、脯氨酸和酪氨酸代谢有关。我们识别出7种与哈默史密斯功能运动量表相关的代谢物:4-氯苯乙酸、adb-chminaca、(±)-、十二烷基苯磺酸、炔诺酮醋酸酯、4-(十一烷-5-基)苯-1-磺酸、二氢马来酰亚胺β-D-葡萄糖苷和华蟾毒精。潜在的分型生物标志物N-环己基甲酰胺、华蟾毒精、可替宁葡萄糖醛酸、N-肉豆蔻酰精氨酸、4-氯苯乙酸、香叶酸、4-(十一烷-5-基)苯和7,8-二氨基壬酸表现出良好的预测性能。其中,N-肉豆蔻酰精氨酸不受基因表型的影响。
本研究识别出的代谢标志物是SMA有前景的候选预后因素。我们还识别出了与SMA严重程度相关的代谢途径。这些评估有助于预测SMA分类生物标志物筛查的结果。