Identification of Potential Biomarkers for Diagnosis of Patients with Methamphetamine Use Disorder.

ABSTRACT: The current method for diagnosing methamphetamine use disorder (MUD) relies on self-reports and interviews with psychiatrists, which lack scientific rigor. This highlights the need for novel biomarkers to accurately diagnose MUD. In this study, we identified transcriptome biomarkers using hair follicles and proposed a diagnostic model for monitoring the MUD treatment process. We performed RNA sequencing analysis on hair follicle cells from healthy controls and former and current MUD patients who had been detained in the past for illegal use of methamphetamine (MA). We selected candidate genes for monitoring MUD patients by performing multivariate analysis methods, such as PCA and PLS-DA, and PPI network analysis. We developed a two-stage diagnostic model using multivariate ROC analysis bas

SUBMITTER: Jang WJ 

PROVIDER: S-EPMC10218193 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature