A bstractBackgroundAt present, the schizophrenia diagnoses are based on the clinical symptoms and behaviors neglecting the laboratory test indicators.ResultsTo better investigate the diagnostic potential of miRNAs for schizophrenia, we selected 14 candidate miRNAs and examined their expressions in the serums of 40 schizophrenia patients and 40 healthy controls by qRT-PCR. Ultimately three abnormally expressed microRNAs were identified, i.e., miR-34a-5p, miR-432-5p and miR-449a. Then, binary regression analysis was employed to combine 3 dysregulated miRNAs. ROC analysis revealed that the AUC of the combination of miR-432-5p + miR-449a in serums was 0.841 (95% CI: 0.791~0.887) with 90% sensitivity and 80% specificity. The AUC of the combination of miR-34a-5p + miR-432-5p + miR-449a in serums was 0.843 (95% CI: 0.791~0.887) with 90% sensitivity and 77.5% specificity. The results indicated that the combined model of miR-432-5p + miR-449a and miR-34a-5p + miR-432-5p + miR-449a have better prediction performances.ConclusionsThe study concludes that the two miRNAs combinations have the potential to be used as biomarkers for schizophrenia diagnoses. The finding may be conducive to overcoming the dilemmas faced by current schizophrenia diagnosis.

中文翻译：

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鉴定血清 microRNA 作为精神分裂症的诊断生物标志物

摘要背景目前，精神分裂症的诊断基于临床症状和行为，忽略了实验室检测指标。结果为了更好地研究 miRNAs 对精神分裂症的诊断潜力，我们选择了 14 个候选 miRNAs，并检测了它们在 40 名精神分裂症患者和 40 名精神分裂症患者血清中的表达。通过 qRT-PCR 进行健康对照。最终鉴定出三种异常表达的微小RNA，即miR-34a-5p、miR-432-5p和miR-449a。然后，采用二元回归分析来组合 3 个失调的 miRNA。ROC分析显示，血清中miR-432-5p + miR-449a组合的AUC为0.841（95% CI：0.791~0.887），敏感性为90%，特异性为80%。血清中 miR-34a-5p + miR-432-5p + miR-449a 组合的 AUC 为 0.843 (95% CI: 0.791~0. 887) 具有 90% 的敏感性和 77.5% 的特异性。结果表明 miR-432-5p + miR-449a 和 miR-34a-5p + miR-432-5p + miR-449a 的组合模型具有更好的预测性能。可用作精神分裂症诊断的生物标志物。这一发现可能有助于克服当前精神分裂症诊断所面临的困境。