Elevated hsa_circRNA_101015, hsa_circRNA_101211, and hsa_circRNA_103470 in the Human Blood: Novel Biomarkers to Early Diagnose Acute Pancreatitis.

Objective. To explore potential biomarkers to accurately diagnose patients with acute pancreatitis (AP) at early stage and to auxiliary clinicians implement the best treatment options. Methods. We selected 3 patients with AP and 3 healthy controls for microarray analysis to obtain differentially exp...

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Publicado en:BioMed Research International pp. 1 - 13
Autores principales: Liu, Chang, Zhu, Xuan, Niu, Xing, Chen, Lijie, Ge, Chunlin
Formato: pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 2/18/2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2/18/2020
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        141922429
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        10.1155/2020/2419163
        141922429
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        atl: Elevated hsa_circRNA_101015, hsa_circRNA_101211, and hsa_circRNA_103470 in the Human Blood: Novel Biomarkers to Early Diagnose Acute Pancreatitis.
      aug:
        au:
          Liu, Chang
          Zhu, Xuan
          Niu, Xing
          Chen, Lijie
          Ge, Chunlin
        affil: Department of General Surgery, First Affiliated Hospital of China Medical University, No. 155 Nanjing North Street, Heping District, Shenyang 110001, Liaoning, China
      sug:
        subj:
          RNA, Circular Blood
          Biological Markers Blood
          Early Diagnosis
          Pancreatitis Diagnosis
          Sensitivity and Specificity
          Human
          Microarray Analysis
          Gene Expression
          Polymerase Chain Reaction Methods
          ROC Curve
          Severity of Illness
          Metabolic Networks and Pathways
      ab: Objective. To explore potential biomarkers to accurately diagnose patients with acute pancreatitis (AP) at early stage and to auxiliary clinicians implement the best treatment options. Methods. 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. Results. 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. Conclusions. Elevated hsa_circRNA_101015, hsa_circRNA_101211, and hsa_circRNA_103470 could be used as novel biomarkers to diagnose AP patients.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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