23 June 2020 : Database Analysis
Bioinformatics-Based Study to Investigate Potential Differentially Expressed Genes and miRNAs in Pediatric Sepsis
Kexin Xie1BE, Shan Kong1CE, Fuxing Li1DF, Yulin Zhang1CD, Jing Wang2DF, Weidong Zhao1AG*DOI: 10.12659/MSM.923881
Med Sci Monit 2020; 26:e923881
Supplementary Table 4 KEGG pathway enrichment terms for DEGs between the control and pediatric sepsis groups.
| Index | Name | P-value | Adjusted P-value | Odds ratio | Combined score |
|---|---|---|---|---|---|
| 1 | Hematopoietic cell lineage | 1.011e-8 | 0.000003115 | 10.26 | 188.93 |
| 2 | infection | 0.00001001 | 0.001028 | 9.32 | 107.25 |
| 3 | Starch and sucrose metabolism | 0.0006476 | 0.02849 | 10.06 | 73.83 |
| 4 | Osteoclast differentiation | 0.00001197 | 0.0009217 | 6.41 | 72.68 |
| 5 | TNF signaling pathway | 0.00003052 | 0.001880 | 6.58 | 68.43 |
| 6 | Legionellosis | 0.0003494 | 0.01794 | 8.23 | 65.48 |
| 7 | Transcriptional misregulation in cancer | 0.000007366 | 0.001134 | 5.35 | 63.25 |
| 8 | Neomycin, kanamycin and gentamicin biosynthesis | 0.05405 | 0.3542 | 18.10 | 52.81 |
| 9 | Inflammatory bowel disease (IBD) | 0.0007588 | 0.02597 | 6.96 | 50.01 |
| 10 | Acute myeloid leukemia | 0.0008138 | 0.02279 | 6.86 | 48.77 |