Methods for identifying metabolic signatures in blood plasma which are unique to autism are described herein. Samples are analyzed using multiple chromatographic-mass spectrometry-based techniques to orthogonally measure a broad range of small molecular weight metabolites differentially produced in autistic patient samples versus non-autistic control samples. These individual metabolites or a panel of such metabolites serve as metabolic signatures of autism. Such metabolic signatures are used in diagnostic methods to accurately identify individuals with autism spectrum disorder (ASD).
本文介绍了识别血浆中自闭症特有代谢特征的方法。使用基于多重色谱-质谱联用技术对样本进行分析,以正交测量自闭症患者样本与非自闭症对照样本中产生的多种小分子量代谢物。这些单个代谢物或一组代谢物可作为自闭症的代谢特征。这种代谢特征可用于诊断方法,以准确识别自闭症谱系障碍(A
SD)患者。