ABSTRACT
Bronchiolitis obliterans (BO) is a chronic airway disease that was often indicated by the pathological presentation of narrowed and irreversible airways. However, the molecular mechanisms of BO pathogenesis remain unknown. Although neutrophil extracellular traps (NETs) can contribute to inflammatory disorders, their involvement in BO is unclear. This study aims to identify potential signaling pathways in BO by exploring the correlations between NETs and BO. GSE52761 and GSE137169 datasets were downloaded from gene expression omnibus (GEO) database. A series of bioinformatics analyses such as differential expression analysis, gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), and gene set enrichment analysis (GSEA) were performed on GSE52761 and GSE137169 datasets to identify BO potential signaling pathways. Two different types of BO mouse models were constructed to verify NETs involvements in BO. Additional experiments and bioinformatics analysis using human small airway epithelial cells (SAECs) were also performed to further elucidate differential genes enrichment with their respective signaling pathways in BO. Our study identified 115 differentially expressed genes (DEGs) that were found up-regulated in BO. Pathway enrichment analysis revealed that these genes were primarily involved in inflammatory signaling processes. Besides, we found that neutrophil extracellular traps (NETs) were formed and activated during BO. Our western blot analysis on lung tissue from BO mice further confirmed NETs activation in BO, where neutrophil elastase (NE) and myeloperoxidase (MPO) expression were found significantly elevated. Transcriptomic and bioinformatics analysis of NETs treated-SAECs also revealed that NETs-DEGs were primarily associated through inflammatory and epithelial-to-mesenchymal transition (EMT) -related pathways. Our study provides novel clues towards the understanding of BO pathogenesis, in which NETs contribute to BO pathogenesis through the activation of inflammatory and EMT associated pathways. The completion of our study will provide the basis for potential novel therapeutic targets in BO treatment.
Subject(s)
Bronchiolitis Obliterans , Extracellular Traps , Humans , Mice , Animals , Extracellular Traps/metabolism , Gene Expression Profiling , Transcriptome , Bronchiolitis Obliterans/metabolism , Inflammation , Epithelial Cells/metabolism , Computational BiologyABSTRACT
BACKGROUND: Sepsis is a common cause of mortality in critically ill patients, and chronic obstructive pulmonary disease (COPD) is one of the most common comorbidities in septic patients. However, the impact of COPD on patients with sepsis remained unclear. Therefore, the purpose of this study aimed to assess the effect of COPD on the prognosis of septic patients based on Medical Information Mart for Intensive Care (MIMIC-III) database. METHODS: In this retrospective study based on the (MIMIC)-III database version 1.4 (v1.4), we collected clinical data and 28-day all-cause mortality from patients with sepsis in intensive care unit (ICU) and these patients met the diagnostic criteria of Sepsis 3 on ICU admission between 2008 and 2012. International Classification of Diseases (ICD-9) (4660, 490, 4910, 4911, 49120, 49121, 4918, 4919, 4920, 4928, 494, 4940, 4941, 496) was used to identified COPD. We applied Kaplan-Meier analysis to compare difference of 28-day all-cause mortality between septic patients with and without COPD. Cox proportional-hazards model was applied to explore the risk factor associated with 28-day all-cause mortality in patients with sepsis. RESULTS: Six thousand two hundred fifty seven patients with sepsis were included in this study, including 955 (15.3%) patients with COPD and 5302 patients without COPD (84.7%). Compared with patients without COPD, patients with COPD were older (median: 73.5 [64.4, 82.0] vs 65.8 [52.9, 79.1], P < 0.001), had higher simplified acute physiology score II (SAPSII) (median: 40.0 [33.0, 49.0] vs 38.0 [29.0,47.0], P < 0.001) and greater proportion of mechanical ventilatory support (MV) (55.0% vs 48.9%, P = 0.001). In our study, septic patients with COPD had higher 28-day all-cause mortality (23.6% vs 16.4%, P < 0.001) than patients without COPD. After adjusting for covariates, the results showed that COPD was an independent risk factor for the 28-day all-cause mortality of patients with sepsis (HR 1.30, 95%CI: 1.12-1.50, P = 0.001). CONCLUSIONS: COPD was an independent risk factor of 28-day all-cause mortality in septic patients. Clinically, septic patients with COPD should be given additional care.
Subject(s)
Pulmonary Disease, Chronic Obstructive , Sepsis , Humans , Retrospective Studies , Sepsis/complications , Intensive Care Units , Critical Care , PrognosisABSTRACT
Background: Bronchiolitis obliterans (BO) is a chronic disease that can arise as a complication of severe childhood pneumonia and can also impact the long-term survival of patients after lung transplantation. However, the precise molecular mechanism underlying BO remains unclear. We aimed to identify BO-associated hub genes and their molecular mechanisms. Methods: BO-associated transcriptome datasets (GSE52761, GSE137169, and GSE94557) were downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs). Additional bioinformatics analyses, such as Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Protein-Protein Interaction (PPI) analyses, were performed to determine functional roles and DEG-associated regulatory networks. Prediction of hub genes using the 12 algorithms available in the Cytohubba plugin of Cytoscape software was also performed. Verification was performed using the BO mouse model. Results: Our results revealed 57 DEGs associated with BO, of which 18 were down-regulated and 39 were up-regulated. The Cytohubba plugin data further narrowed down the 57 DEGs into 9 prominent hub genes (CCR2, CD1D, GM2A, TFEC, MPEG1, CTSS, GPNMB, BIRC2, and CTSZ). Genes such as CCR2, TFEC, MPEG1, CTSS, and CTSZ were dysregulated in 2,3-butanedione-induced BO mice, whereas TFEC, CTSS, and CTSZ were dysregulated in nitric acid-induced BO mouse models. Conclusion: Our study identified and validated four novel BO biomarkers, which may allow further investigation into the development of distinct BO diagnostic markers and novel therapeutic avenues.
ABSTRACT
Background: Preeclampsia (PE) is the primary cause of perinatal maternal-fetal mortality and morbidity. The exact molecular mechanisms of PE pathogenesis are largely unknown. This study aims to identify the hub genes in PE and explore their potential molecular regulatory network. Methods: We downloaded the GSE148241, GSE190971, GSE74341, and GSE114691 datasets for the placenta and performed a differential expression analysis to identify hub genes. We performed Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Disease Ontology (DO), Gene Set Enrichment Analysis (GSEA), and Protein-Protein Interaction (PPI) Analysis to determine functional roles and regulatory networks of differentially expressed genes (DEGs). We then verified the DEGs at transcriptional and translational levels by analyzing the GSE44711 and GSE177049 datasets and our clinical samples, respectively. Results: We identified 60 DEGs in the discovery phase, consisting of 7 downregulated genes and 53 upregulated genes. We then identified seven hub genes using Cytoscape software. In the verification phase, 4 and 3 of the seven genes exhibited the same variation patterns at the transcriptional level in the GSE44711 and GSE177049 datasets, respectively. Validation of our clinical samples showed that CADM3 has the best discriminative performance for predicting PE. Conclusion: These findings may enhance the understanding of PE and provide new insight into identifying potential therapeutic targets for PE.
Subject(s)
Gene Regulatory Networks , Pre-Eclampsia , Pregnancy , Female , Humans , Gene Expression Profiling , Pre-Eclampsia/genetics , Gene Expression Regulation, Neoplastic , Computational BiologyABSTRACT
Background: Recurrent lower respiratory tract infection or chronic pulmonary infection often occur in children with chronic lung diseases (CLDs). By continuous lung inflammation, recurrent and chronic infection could cause irreversible airway structural and lung function damage, which eventually leads to respiratory failure and death. Methods: In purpose of recapitulating persistent high-intensity lung inflammation caused by recurrent lower respiratory tract infection or chronic infection, we established a juvenile murine model with chronic lung inflammation induced by repeated intratracheal instillations of lipopolysaccharides (LPS) from Pseudomonas aeruginosa once a week for 4 weeks. Four-week-old C57BL/6N mice were divided into 4 groups, including LPS0.5 group (n=15), LPS1.0 group (n=15), Control group (n=15) and Normal group (n=15). Mice in LPS0.5 group and LPS1.0 group were instilled intratracheally with 0.5 mg/kg LPS and 1.0 mg/kg LPS respectively. Mice in control group were instilled intratracheally with LPS-free sterile 0.9% NaCl, whereas normal group received no treatment. The successful chronic lung inflammation murine model was validated via (I) pathological manifestations of chronic inflammatory mononuclear-cell infiltration and lung parenchyma damage; (II) decreased lung function. Results: All mice in LPS1.0 group died before the third instillation. No death after instillation was observed in Control and LPS0.5 group. Histological analysis revealed that in LPS0.5 group, 7 days after the third instillation, most bronchus and parabronchial vessels were wrapped by infiltrating monocytes and lymphocyte and alveolar cavities were compressed, which were not observed in control and normal group. Also, ratio of forced expiratory volume in 0.1 second (FEV0.1) and forced vital capacity (FVC) in LPS0.5 group was significantly lower (P<0.0001) than both control group and normal group, suggesting ventilatory dysfunction developed after repeatedly intratracheal instillation once a week for 4 weeks. Conclusions: Intratracheal instillation of 0.5 mg/kg LPS once a week for 4 weeks can cause chronic lung inflammation in young mice.