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pmid:32008037
Bioinformatics Analysis Identifies Hub Genes and Molecular Pathways Involved in Sepsis-Induced Myopathy.
Yi-Le Ning · Zhong-Qi Yang · Shao-Xiang Xian · Jian-Zhong Lin · Xin-Feng Lin · Wei-Tao Chen
Medical science monitor : international medical journal of experimental and clinical research · 2020 doi:10.12659/MSM.919665
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Experiment
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Complete file
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This study aimed to use bioinformatics analysis to identify hub genes and molecular pathways involved in SIM, to identify potential diagnostic or therapeutic biomarkers. MATERIAL AND METHODS The Gene Expression Omnibus (GEO) database was used to acquire the GSE13205 expression profile. The differentially expressed genes (DEGs) in cases of SIM and healthy controls, and the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using the limma R/Bioconductor software package and clusterProfiler package in R, respectively. The protein-protein interaction (PPI) network data of DEGs was retrieved using the STRING database and analyzed using the Molecular Complex Detection (MCODE) Cytoscape software plugin. RESULTS A total of 196 DEGs were obtained in SIM samples compared with healthy samples, including 93 upregulated genes. The DEGs were significantly upregulated in mineral absorption, and the interleukin-17 (IL-17) signaling pathway and 103 down-regulated genes were associated with control of the bile secretion signaling pathway. A protein-protein interaction (PPI) network was constructed with 106 nodes and 192 edges. The top two important clusters were selected from the PPI by MCODE analysis. There were 16 hub genes with a high degree of connectivity in the PPI network that were selected, including heme oxygenase 1 (HMOX1), nicotinamide adenine dinucleotide phosphate quinone dehydrogenase 1 (NQO1), and metallothionein (MT)-1E. CONCLUSIONS Bioinformatics network analysis identified key hub genes and molecular mechanisms in SIM.", "claims": [{"id": "claim-method", "statement": "The limma R/Bioconductor software package was used to perform the identification of DEGs between SIM samples and healthy samples in R (Version 3.5.3) [7].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32008037", "locator": "sections[4] \"Identification of differentially expressed genes (DEGs)\" paragraph 2", "quote": "The limma R/Bioconductor software package was used to perform the identification of DEGs between SIM samples and healthy samples in R (Version 3.5.3) [7]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The expression profile GSE13205 was downloaded from the Gene Expression Omnibus (GEO) database (www.ncbi.nlm.nih.gov/geo) and was used in this study. The dataset consisted of 13 sepsis-induced myopathy (SIM) samples and eight healthy samples. The muscle biopsies were taken from the lateral portion of the vastus lateralis muscle, 10–20 centimeters above the knee in patients with or without SIM. The platform used was the Affymetrix Human Genome U133 Plus 2.0 Array (GPL570, HG-U133_Plus_2) (Thermofisher Scientific, Waltham, MA, USA).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32008037", "locator": "sections[3] \"Microarray data\" paragraph 2", "quote": "The expression profile GSE13205 was downloaded from the Gene Expression Omnibus (GEO) database (www.ncbi.nlm.nih.gov/geo) and was used in this study. The dataset consisted of 13 sepsis-induced myopathy (SIM) samples and eight healthy samples. The muscle biopsies were taken from the lateral portion of the vastus lateralis muscle, 10–20 centimeters above the knee in patients with or without SIM. The platform used was the Affymetrix Human Genome U133 Plus 2.0 Array (GPL570, HG-U133_Plus_2) (Thermofisher Scientific, Waltham, MA, USA)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:32008037"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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