Targeting the metabolic profile of amino acids to identify the key metabolic characteristics in cerebral palsy.
Targeting the metabolic profile of amino acids to identify the key metabolic characteristics in cerebral palsy.
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DOI：
10.3389/fnmol.2023.1237745
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发表时间：
2023
影响因子：
4.8
通讯作者：
Xing, Qinghe
中科院分区：
文献类型：
--
作者：
Wang, Dan;Song, Juan;Cheng, Ye;Xu, Yiran;Song, Lili;Qiao, Yimeng;Li, Bingbing;Xia, Lei;Li, Ming;Zhang, Jin;Su, Yu;Wang, Ting;Ding, Jian;Wang, Xiaoyang;Wang, Sujuan;Zhu, Changlian;Xing, Qinghe
关键词：
脑性瘫痪是一种以运动障碍为特征的神经发育障碍。本研究旨在探讨CP患儿血浆中氨基酸（amino acids，AA）的特点，并筛选出可能在CP辅助诊断和治疗中发挥潜在作用的AA。采用高效液相色谱法对62例CP患儿和60例健康对照者血浆中AA进行代谢组学分析。然后应用单变量和多变量分析来表征不同的AA。然后基于Lasso回归模型通过机器学习鉴定与CP相关的AA标志物，以验证样品内相互作用。接下来，我们计算了判别公式，并根据判别诊断模型中的标志物组合生成了受试者工作特征（ROC）曲线。CP患儿和对照组血浆中共检测到33种AA。与对照组相比，5，7，和10个不同的AA被确定在总参与者，早产儿，足月婴儿，分别。其中，β-氨基异丁酸[p = 2.9*10（−4），倍数变化（FC）= 0.76，保护重要性变量（VIP）= 1.75]，色氨酸[p = 5.4*10（−4），FC = 0.87，VIP = 2.22]和天冬酰胺[p = 3.6*10（−3），FC = 0.82，VIP = 1.64]，CP组、对照组和非CP组均明显低于CP组。β-氨基异丁酸、色氨酸和牛磺酸联合给药为早产儿提供了高水平的诊断分类和风险预测疗效，曲线下面积（AUC）值为0.8741 [95%置信区间（CI）：0.7322-1.000]。基于潜在标志物组合的早产儿CP判别诊断公式定义为p = 1/（1 + e-（8.295-0.3848* BAIBA-0.1120*Trp + 0.0108*Tau））。氨基酸代谢组学的全谱分析揭示了CP的独特特征，包括β-氨基异丁酸、色氨酸和牛磺酸水平的降低。我们的发现为早产儿CP的发病机制和诊断提供了新的线索。
Cerebral palsy (CP) is a neurodevelopmental disorder characterized by motor impairment. In this study, we aimed to describe the characteristics of amino acids (AA) in the plasma of children with CP and identify AA that could play a potential role in the auxiliary diagnosis and treatment of CP. Using high performance liquid chromatography, we performed metabolomics analysis of AA in plasma from 62 CP children and 60 healthy controls. Univariate and multivariate analyses were then applied to characterize different AA. AA markers associated with CP were then identified by machine learning based on the Lasso regression model for the validation of intra-sample interactions. Next, we calculated a discriminant formula and generated a receiver operating characteristic (ROC) curve based on the marker combination in the discriminant diagnostic model. A total of 33 AA were detected in the plasma of CP children and controls. Compared with controls, 5, 7, and 10 different AA were identified in total participants, premature infants, and full-term infants, respectively. Of these, β-amino-isobutyric acid [p = 2.9*10(−4), Fold change (FC) = 0.76, Variable importance of protection (VIP) = 1.75], tryptophan [p = 5.4*10(−4), FC = 0.87, VIP = 2.22], and asparagine [p = 3.6*10(−3), FC = 0.82, VIP = 1.64], were significantly lower in the three groups of CP patients than that in controls. The combination of β-amino-isobutyric acid, tryptophan, and taurine, provided high levels of diagnostic classification and risk prediction efficacy for preterm children with an area under the curve (AUC) value of 0.8741 [95% confidence interval (CI): 0.7322–1.000]. The discriminant diagnostic formula for preterm infant with CP based on the potential marker combination was defined by p = 1/(1 + e−(8.295–0.3848* BAIBA-0.1120*Trp + 0.0108*Tau)). Full-spectrum analysis of amino acid metabolomics revealed a distinct profile in CP, including reductions in the levels of β-amino-isobutyric acid, tryptophan, and taurine. Our findings shed new light on the pathogenesis and diagnosis of premature infants with CP.
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DOI：
10.1007/978-981-13-8023-5_81
发表时间：
2019-01-01
期刊：
TAURINE 11
影响因子：
--
作者：
El Idrissi, Abdeslem
通讯作者：
El Idrissi, Abdeslem
影响因子：
2.4
作者：
Kim, Yoon Hwan;Shim, Hyun Soo;Lee, Jeongae
通讯作者：
Lee, Jeongae
影响因子：
4.2
作者：
Bak, Lasse K.;Johansen, Maja L.;Waagepetersen, Helle S.
通讯作者：
Waagepetersen, Helle S.
影响因子：
0.2
作者：
Drljan, Cila Demesi;Mikov, Aleksandra;Krasnik, Rastislava
通讯作者：
Krasnik, Rastislava
影响因子：
1.5
作者：
Nelson, Karin B.
通讯作者：
Nelson, Karin B.