ArticleRespiratory research2026
Identification and validation of cilia-associated molecular candidates deregulated in severe asthma.
Article in Respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAsthma is characterised by a chronic inflammation and airway remodelling. The functionality of the asthma airway epithelium is altered, suggesting a central role in the pathophysiology. Cilia-associated abnormalities have been reported in the airway epithelium of asthmatic patients, but the mechanisms remain elusive. This study investigated cilia-associated dysregulations in cohorts of patients with severe asthma to identify and characterize key molecular drivers of epithelial airway remodelling.
methodsTranscriptomic data from epithelial bronchial brushing samples of three large cohorts of severe asthma patients and non-asthmatic were analysed: U-BIOPRED (GSE76226, n = 105), SARP (GSE63142, n = 81) and IMSA (GSE158752, n = 42). We focused on cilia-associated genes to highlight common differentially expressed genes in all three cohorts, comparing the non-asthmatic and severe asthma groups. Localisation and expression of the three most dysregulated genes were then validated on ex vivo and in vitro samples and correlated to epithelial airway remodelling features and clinical data.
resultsSeventeen genes were significantly dysregulated between the non-asthma and severe asthma groups in all three datasets. We identified the three most dysregulated: PHLDB2 (12.7% [4.6–22.4], p < 0.05), NEK6 (8.4% [5.5–12.8], p < 0.05) and SCNN1G (6.8% [4.3–9.9], p < 0.05) as molecular candidates. In ex vivo severe asthma bronchial biopsies, the protein levels were upregulated 1.2-fold for PHLDB2 (p = 0.2844), 2.4-fold (p < 0.01) for NEK6, and 2.0-fold for SCNN1G (p < 0.05). The expressions of these candidates were correlated with epithelial remodelling features in both groups. In vitro, the expression of SCNN1G was upregulated in airway epithelial cells upon IL-13 stimulation, suggesting that SCNN1G may be dynamically regulated during epithelial differentiation under pro-inflammatory conditions. Finally, protein expression of PHLDB2, NEK6 and SCNN1G in fully differentiated air-liquid interface culture was associated with epithelial remodelling features with or without inflammatory stimulation.
conclusionThis study highlights the dysregulation of three cilia-associated genes, PHLDB2, NEK6, and SCNN1G, in the bronchial epithelium of patients with SA. Their association with epithelial remodelling features and altered differentiation under inflammatory conditions highlights their potential involvement in asthma pathogenesis and their potential as predictive biomarkers or therapeutic targets in severe asthma.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.