PDF(Pubmed)
Abstract：
Sepsis commonly occurs in patients with serious infections. It severely threatens the health of patients and has very high mortality rates. Urosepsis is a type of sepsis in which the serious infection originates from the urinary system. Early diagnosis of the occurrence and severity of urogenital sepsis is crucial for improving patient prognosis. Long noncoding RNAs (LncRNAs) play important roles in the occurrence of a number of diseases, including sepsis, and can be potential biomarkers that predict disease development. The present study aimed to discover potential LncRNAs that can predict the occurrence of urosepsis. RNA-sequence data from patients with sepsis from the GEO database was analyzed and LncRNAs associated with sepsis were identified. The expression of LncRNAs associated with sepsis was tested in clinical urosepsis samples. Finally, the value of these LncRNAs in predicting urosepsis was verified using clinical samples. From the GEO database a total of nine LncRNAs (MALAT1, NEAT1, RMRP, LncIRX5, LINC01742, DSCR4, C22ORF34, LINC00381, and LINC01102) were identified that had expression changes corresponding with the occurrence of sepsis. Specifically, MALAT1, NEAT1 and DSCR4 revealed differential expression in patients with urosepsis. Moreover, MALAT1, and DSCR4 were shown to be significant risk indicators for urosepsis, and NEAT1 was shown to reflect disease severity. Therefore, the present study indicated that the LncRNAs, MALAT1, NEAT1 and DSCR4 can reflect the occurrence and severity of urosepsis and may act as potential biomarkers.
摘要：
脓毒症通常发生在严重感染的患者中。它严重威胁患者的健康，死亡率很高。尿脓毒症是一种严重感染起源于泌尿系统的脓毒症。早期诊断泌尿生殖道脓毒症的发生和严重程度对改善患者预后至关重要。长链非编码RNA(LncRNAs)在多种疾病的发生中起着重要作用,包括败血症,并且可以是预测疾病发展的潜在生物标志物。本研究旨在发现能够预测尿脓毒血症发生的潜在LncRNAs。分析来自GEO数据库的脓毒症患者的RNA序列数据，并鉴定与脓毒症相关的LncRNA。在临床尿脓毒症样品中测试与脓毒症相关的LncRNA的表达。最后,使用临床样本验证了这些LncRNAs在预测尿脓毒症中的价值.从GEO数据库中总共有9个LncRNAs(MALAT1，NEAT1，RMRP，LncIRX5，LINC01742，DSCR4，C22ORF34，LINC00381和LINC01102）被鉴定为具有与脓毒症发生相对应的表达变化。具体来说,MALAT1、NEAT1和DSCR4在尿脓毒血症患者中表达差异。此外，MALAT1和DSCR4被证明是尿脓毒症的重要风险指标，和NEAT1显示反映疾病的严重程度。因此,本研究表明，LncRNAs，MALAT1、NEAT1和DSCR4可以反映尿脓毒血症的发生和严重程度，并可能作为潜在的生物标志物。
