Evidence map›Paper›PMID 42742537›Full record

ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2026

Integrated Bioinformatics and Experimental Validation to Identify Shared Sialylation-Related Signatures in Emphysematous and Fibrotic Lung Disease.

Yuanying Wang, Ke Cao, Wei Zhao

Abstract read
In one paragraph

Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yuanying WangDepartment of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-1212-998X
Ke CaoDepartment of General Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Wei ZhaoDepartment of Occupational Medicine and Toxicology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emphysema and pulmonary fibrosis represent distinct patterns of chronic lung remodeling but may share molecular and cellular abnormalities. In this study, we analyzed public transcriptomic datasets of chronic obstructive pulmonary disease, emphysema, and idiopathic pulmonary fibrosis from the Gene Expression Omnibus database to explore shared disease-related signatures. Weighted gene co-expression network analysis and differential expression analysis were used to identify common molecular alterations, followed by functional enrichment, protein-protein interaction network construction, hub gene screening, immune infiltration analysis, transcription factor prediction, and single-cell RNA-sequencing validation. The integrated analysis revealed overlapping signatures related to cell adhesion, extracellular matrix organization, vascular regulation, immune responses, and epithelial homeostasis. Five hub genes were validated, and ST6GALNAC5 was further prioritized because of its association with sialylation and predominant enrichment in epithelial cells. Given that sialylation has been rarely investigated in pulmonary fibrosis and emphysema, we therefore further investigated ST6GALNAC5-related epithelial sialylation. Experimental validation on tissue samples showed reduced Sambucus nigra agglutinin lectin signals and decreased ST6GALNAC5 expression in lungs with coexisting emphysematous and fibrotic injury. In vitro experiments confirmed that ST6GALNAC5 overexpression attenuated bleomycin-induced epithelial cell injury. Together, these findings identify convergent molecular signatures across emphysematous and fibrotic lung diseases and suggest that impaired epithelial sialylation may represent a previously underappreciated feature of chronic lung remodeling.

Indexed as

Computational BiologyIdiopathic Pulmonary FibrosisPulmonary EmphysemaPulmonary FibrosisSialyltransferasesAnimalsHumansMiceTranscriptomeSialyltransferasesbioinformatics analysisemphysemaepithelial injuryidiopathic pulmonary fibrosissialylationST6GALNAC5

Identifiers

PMID42742537
PMCPMC13576786

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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.