ObjectiveTo investigate the clinical signification of plasma interleukin-17 (IL-17) 1evel in patients with acute respiratory distress syndrome (ARDS).MethodsForty-five adult ARDS patients and 22 healthy controls were enrolled in this study. The plasma cytokine levels of IL-17, IL-6 and IL-10 were measured by enzyme linked immunosorbent assay. Meanwhile, the baseline data of demographic and clinical tests including oxygenation index, procalcitonin and brain natriuretic peprtide were collected, the acute physiological and chronic health Ⅱ (APACHEⅡ) score and sequential organ failure assessment (SOFA) score were recorded. The main outcome was defined as hospital mortality within 28-day follow-up.ResultsThe plasma concentration of IL-17, IL-6 were higher in the ARDS patients (P<0.05) compared with the controls and the mean levels of IL-17, IL-6 and the APACHEⅡ score and the SOFA score in the non-survivors was higher than those in the survivors (P<0.05). In particular, there was a significant correlation between the plasma levels of IL-17 and IL-6 (P<0.05). Logistic regression and COX multivariate survival analysis suggested that age and SOFA score may be prognostic factors for ARDS.ConclusionsThe plasma concentration of IL-17 is significantly increased in ARDS patients, and its expression is linearly related to the proinflammatory factor IL-6. Both are important inflammatory markers in the acute phase of ARDS and may be important disease severity and prognostic indicators in addition to age and SOFA score.
Objective To explore the pathogenesis of acute respiratory disease syndrome (ARDS) by bioinformatics analysis of neutrophil gene expression profile in order to find new therapeutic targets. Methods The gene expression chips include ARDS patients and healthy volunteers were screened from the Gene Expression Omnibus (GEO) database. The differentially expressed genes were carried out through GEO2R, OmicsBean, STRING, and Cytoscape, then enrichment analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Gene and Genomes (KEGG) pathways was conducted to investigate the biological processes involved in ARDS via DAVID website. Results Bioinformatics analysis showed 86 differential genes achieved through the GEO2R website. Eighty-one genes were included in the STRING website for protein interaction analysis. The results of the interaction were further analyzed by Cytoscape software to obtain 11 hub genes: AHSP, ALAS2, CD177, CLEC4D, EPB42, GPR84, HBD, HVCN1, KLF1, SLC4A1, and STOM. GO analysis showed that the differential gene was enriched in the cellular component, especially the integrity of the plasma membrane. KEGG analysis showed that multiple pathways especially the cytokine receptor pathway involved in the pathogenesis of ARDS. Conclusions A variety of genes and pathways have been involved in the pathogenesis of ARDS. Eleven hub genes are screened, which may be involved in the pathogenesis of ARDS and can be used in subsequent studies.