Untargeted metabolomics analysis by gas chromatography/time‐of‐flight mass spectrometry of human serum from methamphetamine abusers. (10th June 2021)

• Record Type: Journal Article
• Authors: Wang, Tingwei; Xu, Chunyang; Xu, Shiying; Gao, Lu; Blaženović, Ivana; Ji, Jian; Wang, Jun; Sun, Xiulan
• Is Part Of: Addiction biology. Volume 26:Number 6(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-06-10
• Subjects: human serum -- metabolomics -- methamphetamine; Substance abuse -- Periodicals; Substance abuse -- Physiological aspects -- Periodicals; Substance-Related Disorders -- periodicals; 616.86
• DOI: 10.1111/adb.13062
• Languages: English
• ISSNs: 1355-6215

Abstract

Abstract: Methamphetamine (METH) abuse has become a global public health problem. However, the potential mechanisms involving METH‐induced metabolic disorders have thus far remained poorly understood. Metabolomics can provide a clue for the cause of apparent changes and consequently be used to investigate the METH‐induced dysregulation of metabolite expression and the mechanism of metabolic disorder mechanism. This laboratory investigation included 80 METH abusers and 80 healthy people. The serum metabolites were detected and analysed by gas chromatography/time‐of‐flight mass spectrometry. Raw data were processed with the software MS DIAL, which includes deconvolution, peak alignment and compound identification. The data matrix was processed by univariate and multivariate analyses for significant metabolite screening with the criteria of variable importance in projection values > 1, fold change > 1.5 and the t test ( p value < 0.05). Significant differences in 16 metabolites (deoxycholic acid, cholic acid, hydroxylamine, etc.) in serum were found between the METH abuse group and the control group. Energy metabolic pathways and several amino acid metabolic pathways (alanine, aspartic acid and glutamate metabolism and tryptophan metabolism) were primarily involved. Further analysis indicated that the area under the receiver operating characteristic curve (AUC) was 0.998 for these 16 metabolites. Among the metabolites, three carbohydrates (d ‐ribose, cellobiose and maltotriose) had an AUC of 0.975, which were determined as potential markers of abuse. We observed metabolic disturbances in METH abusers, particularly perturbation in energy metabolism and amino acid metabolism, which can provide new insights into the search for biomarkers and the mechanisms underlying the adverse effects of METH on human health. Abstract : In this study, we found that 16 metabolites were significantly different between those of METH abusers and the control group, resulting in the disorders of energy metabolism and amino acid metabolism. Further analysis indicated that the area under the receiver operating characteristic curve (AUC) was 0.998 for these 16 metabolites. Three carbohydrates (D‐ribose, cellobiose and maltotriose) had an AUC of 0.975, which were determined as potential markers of abuse.