Department of General Surgery, First Affiliated Hospital of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang 110001, Liaoning, China.
Department of Pancreatic and Biliary Surgery, First Affiliated Hospital of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang 110001, Liaoning, China.
Biomed Res Int. 2020 Feb 18;2020:2419163. doi: 10.1155/2020/2419163. eCollection 2020.
To explore potential biomarkers to accurately diagnose patients with acute pancreatitis (AP) at early stage and to auxiliary clinicians implement the best treatment options.
We selected 3 patients with AP and 3 healthy controls for microarray analysis to obtain differentially expressed circular RNAs (circRNAs). To further verify the results of the microarray analysis, the six differentially expressed circRNAs were confirmed by quantitative polymerase chain reaction (qPCR). The diagnostic accuracy and sensitivity of differentially expressed circRNAs were assessed using the receiver operating characteristic (ROC) curve. A ceRNA network was constructed based on the 6 differentially expressed circRNAs.
There were 25 upregulated circRNAs and 26 downregulated circRNAs in the blood of patients with AP. Next, the qPCR verification results further confirmed three downregulated circRNAs, including hsa_circRNA_002532, has_circRNA_059665, and hsa_circRNA_104156, and three upregulated circRNAs including hsa_circRNA_101015, hsa_circRNA_101211, and hsa_circRNA_103470. Among them, hsa_circRNA_101015, hsa_circRNA_101211, and hsa_circRNA_103470 increased with the severity of the disease. ROC analysis showed that the three circRNA models show promise to diagnose AP. And a ceRNA network revealed that above six circRNAs could participate in complex regulated network.
Elevated hsa_circRNA_101015, hsa_circRNA_101211, and hsa_circRNA_103470 could be used as novel biomarkers to diagnose AP patients.
探索潜在的生物标志物，以准确诊断早期急性胰腺炎（AP）患者，并辅助临床医生选择最佳治疗方案。
我们选择了 3 例 AP 患者和 3 例健康对照进行微阵列分析，以获得差异表达的环状 RNA（circRNA）。为了进一步验证微阵列分析的结果，我们通过定量聚合酶链反应（qPCR）验证了 6 个差异表达的 circRNA。通过受试者工作特征（ROC）曲线评估差异表达 circRNA 的诊断准确性和灵敏度。基于 6 个差异表达的 circRNA 构建 ceRNA 网络。
AP 患者血液中有 25 个上调的 circRNA 和 26 个下调的 circRNA。接下来，qPCR 验证结果进一步证实了三个下调的 circRNA，包括 hsa_circRNA_002532、has_circRNA_059665 和 hsa_circRNA_104156，以及三个上调的 circRNA，包括 hsa_circRNA_101015、hsa_circRNA_101211 和 hsa_circRNA_103470。其中，hsa_circRNA_101015、hsa_circRNA_101211 和 hsa_circRNA_103470 随着疾病的严重程度而增加。ROC 分析表明，这三个 circRNA 模型有望诊断 AP。ceRNA 网络揭示了上述六个 circRNA 可能参与复杂的调控网络。
升高的 hsa_circRNA_101015、hsa_circRNA_101211 和 hsa_circRNA_103470 可作为诊断 AP 患者的新型生物标志物。
