Anesthesiology Department, Children's Hospital of Soochow University, Suzhou, China.
Department of Cardiology, Children's Hospital of Soochow University, Suzhou, China.
Braz J Med Biol Res. 2021 Jan 25;54(3):e10152. doi: 10.1590/1414-431X202010152. eCollection 2021.
The goal of this study was to identify potential transcriptomic markers in pediatric septic shock prognosis by an integrative analysis of multiple public microarray datasets. Using the R software and bioconductor packages, we performed a statistical analysis to identify differentially expressed (DE) genes in pediatric septic shock non-survivors, and further performed functional interpretation (enrichment analysis and co-expression network construction) and classification quality evaluation of the DE genes identified. Four microarray datasets (3 training datasets and 1 testing dataset, 252 pediatric patients with septic shock in total) were collected for the integrative analysis. A total of 32 DE genes (18 upregulated genes; 14 downregulated genes) were identified in pediatric septic shock non-survivors. Enrichment analysis revealed that those DE genes were strongly associated with acute inflammatory response to antigenic stimulus, response to yeast, and defense response to bacterium. A support vector machine classifier (non-survivors vs survivors) was also trained based on DE genes. In conclusion, the DE genes identified in this study are suggested as candidate transcriptomic markers for pediatric septic shock prognosis and provide novel insights into the progression of pediatric septic shock.
本研究旨在通过对多个公共微阵列数据集进行综合分析，确定儿科感染性休克预后的潜在转录组标志物。使用 R 软件和 bioconductor 包，我们进行了统计分析，以确定儿科感染性休克非幸存者中差异表达（DE）的基因，并进一步对鉴定出的 DE 基因进行功能解释（富集分析和共表达网络构建）和分类质量评估。共收集了四个微阵列数据集（三个训练数据集和一个测试数据集，总共有 252 例儿科感染性休克患者）进行综合分析。在儿科感染性休克非幸存者中鉴定出了 32 个 DE 基因（18 个上调基因；14 个下调基因）。富集分析表明，这些 DE 基因与抗原刺激的急性炎症反应、酵母反应和细菌防御反应密切相关。还基于 DE 基因训练了支持向量机分类器（非幸存者与幸存者）。总之，本研究中鉴定出的 DE 基因被认为是儿科感染性休克预后的候选转录组标志物，为儿科感染性休克的进展提供了新的见解。
