Targeting the metabolic profile of amino acids to identify the key metabolic characteristics in cerebral palsy

Background 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 plasma children with CP and identify AA that could play potential role auxiliary diagnosis treatment CP. Methods Using high performance liquid chromatography, performed metabolomics analysis from 62 60 healthy controls. Univariate multivariate analyses were then applied characterize different AA. markers associated identified machine learning based on Lasso regression model for validation intra-sample interactions. Next, calculated discriminant formula generated receiver operating characteristic (ROC) curve marker combination diagnostic model. Results A total 33 detected Compared controls, 5, 7, 10 participants, premature infants, full-term respectively. Of these, β-amino-isobutyric acid [ p = 2.9*10 (−4) , Fold change (FC) 0.76, Variable importance protection (VIP) 1.75], tryptophan 5.4*10 FC 0.87, VIP 2.22], asparagine 3.6*10 (−3) 0.82, 1.64], significantly lower three groups patients than The acid, tryptophan, taurine, provided levels classification risk prediction efficacy preterm an area under (AUC) value 0.8741 [95% confidence interval (CI): 0.7322–1.000]. infant was defined 1/(1 + e −(8.295–0.3848* BAIBA-0.1120*Trp 0.0108*Tau) ). Conclusion Full-spectrum revealed distinct profile CP, including reductions taurine. Our findings shed new light pathogenesis infants