Abstract
OBJECTIVE: In this study, we aimed to identify a microRNA expression signature that could be used to distinguish methamphetamine from control samples. We also utilized the existing bioinformatics tools in order to predict the candidate microRNAs that could play potential key roles in regulating drug addiction-related genes. METHODS: Methamphetamine samples from 21 ventral tegmental area and 21 nucleus accumbens samples and their control regions were obtained from the Council of Forensic Medicine (Istanbul). Quantitative analysis of let-7b-3p was studied using quantitative reverse transcription PCR. Statistical analysis was carried out using Student's t-test. The receiver operating characteristic curves were plotted with Statistical Package for the Social Sciences (SPSS 20.0). RESULTS: Our quantitative reverse transcription PCR results revealed that let-7b-3p was significantly overexpressed in brain tissues of the methamphetamine-user group. Let-7b-3p had significant power to discriminate methamphetamine from control samples in the ventral tegmental area (AUC; 0.922) and nucleus accumbens (AUC; 0.899) regions. CONCLUSION: We have shown for the first time in the literature the differential expression of let-7b-3p in samples from methamphetamine-addicted individuals. We suggest that let-7b-3p could be a powerful marker for the diagnosis of methamphetamine addiction. Our results showed that differentially expressed let-7b-3p in methamphetamine users could be used as a diagnostic and therapeutic marker.