ArticleInfection and drug resistance2018
Identification of key genes and pathways using bioinformatics analysis in septic shock children.
Article in Infection and drug resistance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 25 citations in OpenAlex.
- Fangji Fuling Decoction Alleviates Sepsis by Blocking MAPK14/FOXO3A Signaling Pathway.Chinese journal of integrative medicine · 2024Article
- Genetic polymorphisms, biomarkers and signaling pathways associated with septic shock: from diagnosis to therapeutic targets.Burns & trauma · 2024Review
- Identification of potential biomarkers and therapeutic targets for posttraumatic acute respiratory distress syndrome.BMC medical genomics · 2023Article
- Integrated Transcriptome Profiling Identifies Prognostic Hub Genes as Therapeutic Targets of Glioblastoma: Evidenced by Bioinformatics Analysis.ACS omega · 2022Article
- Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis.BMC infectious diseases · 2022Article
- Identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathies.BMC infectious diseases · 2021Article
- Screening of Key Genes of Sepsis and Septic Shock Using Bioinformatics Analysis.Journal of inflammation research · 2021Article
- Screening and identification of key gene in sepsis development: Evidence from bioinformatics analysis.Medicine · 2020Article
- Glyceraldehyde-3-phosphate Dehydrogenase is a Multifaceted Therapeutic Target.Pharmaceutics · 2020Review
- Comprehensive Transcriptome Profiling of Peripheral Blood Mononuclear Cells from Patients with Sepsis.International journal of medical sciences · 2020Observational
- Screening key genes and microRNAs in sepsis by RNA-sequencing.Journal of the Chinese Medical Association : JCMA · 2020Article
- Bioinformatics Analysis of Gene Expression Profiles for Risk Prediction in Patients with Septic Shock.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and hypothesisSepsis is still one of the reasons for serious infectious diseases in pediatric intensive care unit patients despite the use of anti-infective therapy and organ support therapy. As it is well-known, the effect of single gene or pathway does not play a role in sepsis. We want to explore the interaction of two more genes or pathways in sepsis patients for future works. We hypothesize that the discovery from the available gene expression data of pediatric sepsis patients could know the process or improve the situation. METHODS AND
resultsThe gene expression profile dataset GSE26440 of 98 septic shock samples and 32 normal samples using whole blood-derived RNA samples were generated. A total of 1,108 upregulated and 142 downregulated differentially expressed genes (DEGs) were identified in septic shock children using R software packages. The Gene Ontology (GO) enrichment and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were analyzed using DAVID software; Gene Set Enrichment Analysis method was also used for enrichment analysis of the DEGs. The protein-protein interaction (PPI) network and the top 10 hub genes construction of the DEGs were constructed via plug-in Molecular Complex Detection and cytoHubba of Cytoscape software. From the PPI network, the top 10 hub genes, which are all upregulated DEGs in the septic shock children, were identified as
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