2022
DOI: 10.3389/fphar.2022.1079511
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Feasibility and mechanism analysis of Reduning in the prevention of sepsis-induced pulmonary fibrosis

Abstract: Introduction: The increasing mortality in patients with sepsis-induced pulmonary fibrosis owes to a lack of effective treatment options. This study aims to explore the possibility and possible targets of Reduning in the prevention of sepsis-related pulmonary fibrosis.Methods: The active components and targets of Reduning were searched and screened from the database and analysis platform of traditional Chinese medicine (TCM) system pharmacology. GeneCards, human genome database, DisGeNET database, and the OMIM … Show more

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Cited by 3 publications
(1 citation statement)
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“…Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis [ 23 , 24 ] were performed using the online platform David database ( https://david.ncifcrf.gov/ ). [ 25 , 26 ] GO categories comprise biological processes (BP), cellular components, and molecular functions. The data were ranked according to GO-term, Count, and P value, and those with P < .05 were screened for inclusion in the statistics, and the top 10 were selected for GO function and the top 30 for KEGG were selected for visualization and analysis in an online platform ( http://www.bioinformatics.com.cn ).…”
Section: Methodsmentioning
confidence: 99%
“…Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis [ 23 , 24 ] were performed using the online platform David database ( https://david.ncifcrf.gov/ ). [ 25 , 26 ] GO categories comprise biological processes (BP), cellular components, and molecular functions. The data were ranked according to GO-term, Count, and P value, and those with P < .05 were screened for inclusion in the statistics, and the top 10 were selected for GO function and the top 30 for KEGG were selected for visualization and analysis in an online platform ( http://www.bioinformatics.com.cn ).…”
Section: Methodsmentioning
confidence: 99%