Plasma Metabolomics Reveals Systemic Metabolic Alterations of Subclinical and Clinical Hypothyroidism

These data were supplemental tables and figures from the manuscript titled: "Plasma Metabolomics Reveals Systemic Metabolic Alterations of Subclinical and Clinical Hypothyroidism". This study explored metabolic alterations in SCH and CH and identify potential metabolite biomarkers for the discrimination of SCH and CH from euthyroid individuals. Plasma samples from a cohort of 126 human subjects including 45 patients with CH, 41 patients with SCH, and 40 euthyroid controls were analyzed by high-resolution mass spectrometry–based metabolomics. Data were processed by multivariate principal components analysis and orthogonal partial least squares discriminant analysis. Correlation analysis was performed by a Multivarate Linear Regression analysis. Unbiased Variable selection in R (MUVR) algorithm and three machine learning models were utilized to develop prediction models based on potential metabolite biomarkers.