期刊
FRONTIERS IN PSYCHIATRY
卷 12, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fpsyt.2021.679206
关键词
heroin; drug abuse; biomarker; plasma microRNA; addiction
类别
资金
- National Key R&D Program of China [2017YFC1310400]
- Natural Science Foundation of Zhejiang [LY18H090008]
- Natural Science Foundation of China [81671321]
- Medical Health Science and Technology Project of Zhejiang Provincial [2021KY1065]
The study examined the differential expression of plasma miRNAs in 57 heroin-dependent patients. Two candidate miRNAs, miR-320a and let-7b-5p, were significantly upregulated in the plasma of heroin-dependent patients compared to healthy controls. ROC analysis showed AUC values of 0.748 for miR-320a and 0.758 for let-7b-5p, with sensitivities of 71.9% and 70.2%, and specificities of 76.1% and 78.3%, respectively. The combination of these miRNAs had an AUC of 0.782, with 73.7% sensitivity and 82.6% specificity for predicting heroin dependence.
Heroin use disorder is a chronic and relapsing disease that induces persistent changes in the brain. The diagnoses of heroin use disorders are mainly based on subjective reports and no valid biomarkers available. Recent researches have revealed that circulating miRNAs are useful non-invasive biomarkers for diagnosing brain diseases such as Alzheimer's disease, multiple sclerosis, schizophrenia, and bipolar disorder. However, studies on circulating miRNAs for the diagnosis of heroin use disorders are rarely reported. In this study, we investigated the differential expression of plasma miRNAs in 57 heroin-dependent patients. Based on literature research and microarray analysis, two candidate miRNAs, miR-320a and let-7b-5p, were selected and analyzed by quantitative real-time RT-PCR. The results showed miR-320a and let-7b were significantly upregulated in plasma of the heroin-dependent patients compared to that in healthy controls. The area under curves (AUCs) of receiver operating characteristic (ROC) curves of miR-320a and let-7b-5p were 0.748 and 0.758, respectively. The sensitivities of miR-320a and let-7b-5p were 71.9 and 70.2%, while the specificities of miR-320a and let-7b-5p were 76.1 and 78.3%, respectively. The combination of these two miRNAs predicted heron dependence with an AUC of 0.782 (95% CI 0.687-0.876), with 73.7% sensitivity and 82.6% specificity. Our findings suggest a potential use for circulating miRNAs as biomarkers for the diagnosis of heroin abuse.
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