Cord blood metabolomics data of SGA and AGA infants

This dataset contains the umbilical cord blood metabolomics data generated for the study entitled "Metabolomic analysis of umbilical cord serum in small-for-gestational-age infants with a focus on linear growth", submitted to Scientific Reports. Serum samples were collected from term infants at birth and analyzed using gas chromatography–tandem mass spectrometry (GC-MS/MS). The dataset includes quantified metabolite peak area values for 66 infants, categorized into appropriate-for-gestational-age (AGA), SGA-tall, and SGA-short groups. These data were used for multivariate analyses (orthogonal partial least squares discriminant analysis [OPLS-DA], S-plot, variable importance in projection [VIP] scores), univariate analysis (volcano plots), receiver operating characteristic (ROC) curves, and pathway enrichment analysis. Personal identifiers have been fully anonymized. This dataset supports the findings reported in the associated manuscript.本数据集包含为提交至《Scientific Reports》（《科学报告》）、题为"针对小于胎龄儿脐带血清的代谢组学分析：聚焦线性生长"的研究所生成的脐带血代谢组学数据。研究采集了足月新生儿出生时的血清样本，并采用气相色谱-串联质谱(gas chromatography–tandem mass spectrometry, GC-MS/MS)进行分析。本数据集包含66名新生儿的定量代谢物峰面积数据，研究对象被划分为适于胎龄儿(appropriate-for-gestational-age, AGA)、SGA身高偏高组与SGA身高偏矮组。上述数据被用于多变量分析（正交偏最小二乘判别分析(orthogonal partial least squares discriminant analysis, OPLS-DA)、S-plot、变量投影重要性(variable importance in projection, VIP)评分）、单变量分析（火山图）、受试者工作特征(receiver operating characteristic, ROC)曲线分析以及通路富集分析。所有个人身份标识均已完全匿名化处理。本数据集可为相关论文中报道的研究结论提供数据支撑。