Evidence map›Paper›PMID 42094231›Full record

ArticleERJ open research2026

Validation of bronchial airway gene expression associated with bronchiectasis in nasal epithelium.

Whitney Souery, Jason Wong, Alejandro A Diaz, Ke Xu, Xiaohui Xiao, Hanqiao Liu, Gang Liu, Adam C Gower, Yuriy O Alekseyev, Ehab Billatos and 1 more

Abstract read
In one paragraph

Article in ERJ open 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Whitney SouerySection of Computational Biomedicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.ORCID https://orcid.org/0009-0005-1243-2921
Jason WongSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Alejandro A DiazDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0001-5037-2919
Ke XuSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Xiaohui XiaoSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Hanqiao LiuSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Gang LiuSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Adam C GowerSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Yuriy O AlekseyevDepartment of Pathology and Laboratory Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Ehab BillatosSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.ORCID https://orcid.org/0000-0002-6645-1758
Marc E LenburgSection of Computational Biomedicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Examine the bronchial epithelium-derived gene expression signature of bronchiectasis (BE) in nasal epithelium. Methods: We studied 220 participants from the Detection of Early Lung Cancer Among Military Personnel study with bulk RNA sequencing of nasal epithelium brushings. Gene set enrichment analysis (GSEA) examined whether genes previously identified as increased or decreased in the bronchial epithelium of individuals with radiologic BE are enriched among genes most altered in nasal epithelium. GSEA and cell-type specific signatures assessed changes in nasal epithelium cellular composition associated with radiologic BE. Results: No genes were significantly differentially expressed in nasal epithelium between participants with and participants without widespread radiologic BE. However, genes previously found altered in bronchial epithelium are concordantly enriched among genes most increased or decreased in nasal epithelium (p=3×10 Conclusion: This work validates our bronchial BE signature in an independent dataset and demonstrates that gene expression changes associated with radiologic BE in nasal epithelium are concordant but reduced in magnitude compared with bronchial epithelium. These findings support considering nasal brushings as a less invasive tool for BE screening and monitoring.

Identifiers

PMID42094231
PMCPMC13139922

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