Trial reportScientific reports2019
Gene network approach reveals co-expression patterns in nasal and bronchial epithelium.
Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Nasal Airway Transcriptome Reflects Selected Asthma-Associated Gene Signatures in the Lower Airways.Allergy · 2026Article
- Upper and Lower Respiratory Tract Compartmentalization in Pediatric Stem Cell Transplantation.American journal of respiratory cell and molecular biology · 2026Article
- Development of in vitro airway epithelial model to assess immune response and safety of mucosal adjuvants.NPJ vaccines · 2026Article
- Nasal epithelium and blood transcriptomic signatures associations with smoking and exacerbations.The European respiratory journal · 2026Article
- Article
- Upper and Lower Respiratory Tract Compartmentalization in Pediatric Stem Cell Transplantation.medRxiv : the preprint server for health sciences · 2025Article
- Evidence of sex differences in ozone-induced oxysterol and cytokine levels in differentiated human nasal epithelial cells.American journal of physiology. Lung cellular and molecular physiology · 2025Article
- The different response of PMRespiratory research · 2025Article
- Nasal cells as a bronchial cell surrogate for pre-clinical assessment of drug response in cystic fibrosis.Frontiers in pharmacology · 2025Article
- The functional role of CST1 and CCL26 in asthma development.Immunity, inflammation and disease · 2024Article
- An epithelial gene signature of trans-IL-6 signaling defines a subgroup of type 2-low asthma.Respiratory research · 2023Article
- Exploring intrinsic variability between cultured nasal and bronchial epithelia in cystic fibrosis.Scientific reports · 2023Article
- GeneNetTools: tests for Gaussian graphical models with shrinkage.Bioinformatics (Oxford, England) · 2022Article
- Bone Marrow Derived Mesenchymal Stromal Cells Promote Vascularization and Ciliation in Airway Mucosa Tri-Culture ModelsFrontiers in bioengineering and biotechnology · 2022Article
- Small Airway Susceptibility to Chemical and Particle Injury.Respiration; international review of thoracic diseases · 2022Review
- S100A7 Co-localization and Up-regulation of Filaggrin in Human Sinonasal Epithelial Cells.Current medical science · 2021Article
- Role of sex hormones in lung cancer.Experimental biology and medicine (Maywood, N.J.) · 2021Review
- The 'un-shrunk' partial correlation in Gaussian graphical models.BMC bioinformatics · 2021Article
- Network and co-expression analysis of airway smooth muscle cell transcriptome delineates potential gene signatures in asthma.Scientific reports · 2021Article
- Determinants of SARS-CoV-2 receptor gene expression in upper and lower airways.medRxiv : the preprint server for health sciences · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nasal gene expression profiling is a new approach to investigate the airway epithelium as a biomarker to study the activity and treatment responses of obstructive pulmonary diseases. We investigated to what extent gene expression profiling of nasal brushings is similar to that of bronchial brushings. We performed genome wide gene expression profiling on matched nasal and bronchial epithelial brushes from 77 respiratory healthy individuals. To investigate differences and similarities among regulatory modules, network analysis was performed on correlated, differentially expressed and smoking-related genes using Gaussian Graphical Models. Between nasal and bronchial brushes, 619 genes were correlated and 1692 genes were differentially expressed (false discovery rate <0.05, |Fold-change|>2). Network analysis of correlated genes showed pro-inflammatory pathways to be similar between the two locations. Focusing on smoking-related genes, cytochrome-P450 pathway related genes were found to be similar, supporting the concept of a detoxifying response to tobacco exposure throughout the airways. In contrast, cilia-related pathways were decreased in nasal compared to bronchial brushes when focusing on differentially expressed genes. Collectively, while there are substantial differences in gene expression between nasal and bronchial brushes, we also found similarities, especially in the response to the external factors such as smoking.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.