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pmid:35187081

Identification of Key Signaling Pathways and Genes in Eosinophilic Asthma and Neutrophilic Asthma by Weighted Gene Co-Expression Network Analysis.

Gongqi Chen · Dian Chen · Yuchen Feng · Wenliang Wu · Jiali Gao · Chenli Chang · Shengchong Chen · Guohua Zhen

Frontiers in molecular biosciences · 2022 doi:10.3389/fmolb.2022.805570

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complete

Experiment

complete

Data

partial

Analysis

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Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:35187081
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title
Identification of Key Signaling Pathways and Genes in Eosinophilic Asthma and Neutrophilic Asthma by Weighted Gene Co-Expression Network Analysis.
doi
10.3389/fmolb.2022.805570
pmid
35187081
authors array · 8 items
[0]
Gongqi Chen
[1]
Dian Chen
[2]
Yuchen Feng
[3]
Wenliang Wu
[4]
Jiali Gao
[5]
Chenli Chang
[6]
Shengchong Chen
[7]
Guohua Zhen
journal
Frontiers in molecular biosciences
year
2022
abstract
Background: Asthma is a heterogeneous disease with different subtypes including eosinophilic asthma (EA) and neutrophilic asthma (NA). However, the mechanisms underlying the difference between the two subtypes are not fully understood. Methods: Microarray datasets (GSE45111 and GSE137268) were acquired from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in induced sputum between EA (n = 24) and NA (n = 15) were identified by "Limma" package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses and Gene set enrichment analysis (GSEA) were used to explore potential signaling pathways. Weighted gene co-expression network analysis (WGCNA) were performed to identify the key genes that were strongly associated with EA and NA. Results: A total of 282 DEGs were identified in induced sputum of NA patients compared with EA patients. In GO and KEGG pathway analyses, DEGs were enriched in positive regulation of cytokine production, and cytokine-cytokine receptor interaction. The results of GSEA showed that ribosome, Parkinson's disease, and oxidative phosphorylation were positively correlated with EA while toll-like receptor signaling pathway, primary immunodeficiency, and NOD-like receptor signaling pathway were positively correlated with NA. Using WGCNA analysis, we identified a set of genes significantly associated NA including IRFG, IRF1, STAT1, IFIH1, IFIT3, GBP1, GBP5, IFIT2, CXCL9, and CXCL11. Conclusion: We identified potential signaling pathways and key genes involved in the pathogenesis of the asthma subsets, especially in neutrophilic asthma.
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We next identified DEGs between EA and NA group by an empirical Bayes method based on limma package (version 3.46.0) in R software (p < 0.05, |logFC|>0.5) (Ritchie et al., 2015).
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sections[4] "Data Processing and Differentially Expressed Genes Identification" paragraph 2
quote
We next identified DEGs between EA and NA group by an empirical Bayes method based on limma package (version 3.46.0) in R software (p < 0.05, |logFC|>0.5) (Ritchie et al., 2015).
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The datasets analyzed during the present study are available from the Gene Expression Omnibus repository (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45111 and https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE137268).
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sections[18] "Data Availability Statement" paragraph 2
quote
The datasets analyzed during the present study are available from the Gene Expression Omnibus repository (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45111 and https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE137268).
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The analysis identified 282 differentially expressed genes between eosinophilic asthma and neutrophilic asthma induced sputum samples, including 110 up-regulated and 172 down-regulated in eosinophilic asthma.
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After data consolidation and removing the batch effects of the two microarray datasets, 282 DEGs (110 up-regulated and 172 down-regulated in EA patients) were screened out using the Limma package (p < 0.05, |logFC| > 0.5) (Supplementary Table S1).
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sections[10] "Identification of Differentially Expressed Genes" paragraph 2
quote
After data consolidation and removing the batch effects of the two microarray datasets, 282 DEGs (110 up-regulated and 172 down-regulated in EA patients) were screened out using the Limma package (p < 0.05, |logFC| > 0.5) (Supplementary Table S1).
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The analysis identified 282 differentially expressed genes between eosinophilic asthma and neutrophilic asthma induced sputum samples, including 110 up-regulated and 172 down-regulated in eosinophilic asthma.
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Transcriptomic analysis of induced sputum samples in severe asthma
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The datasets analyzed during the present study are available from the Gene Expression Omnibus repository (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45111 and https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE137268).
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The datasets analyzed during the present study are available from the Gene Expression Omnibus repository (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45111 and https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE137268).
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A sputum gene expression signature of six biomarkers identifies asthma inflammatory phenotype and steroid responsiveness
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We next identified DEGs between EA and NA group by an empirical Bayes method based on limma package (version 3.46.0) in R software (p < 0.05, |logFC|>0.5) (Ritchie et al., 2015).
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35187081", "kind": "science-record", "revision": 5, "content_hash": "sha256:2d6fa757f816325c223a30e3a96024b2ffcb8d1fc80791fb42ca854c815c0b26", "created_at": "2026-11-01T17:36:57Z", "updated_at": "2026-11-01T22:48:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Key Signaling Pathways and Genes in Eosinophilic Asthma and Neutrophilic Asthma by Weighted Gene Co-Expression Network Analysis.", "doi": "10.3389/fmolb.2022.805570", "pmid": "35187081", "authors": ["Gongqi Chen", "Dian Chen", "Yuchen Feng", "Wenliang Wu", "Jiali Gao", "Chenli Chang", "Shengchong Chen", "Guohua Zhen"], "journal": "Frontiers in molecular biosciences", "year": 2022, "abstract": "Background: Asthma is a heterogeneous disease with different subtypes including eosinophilic asthma (EA) and neutrophilic asthma (NA). However, the mechanisms underlying the difference between the two subtypes are not fully understood. Methods: Microarray datasets (GSE45111 and GSE137268) were acquired from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in induced sputum between EA (n = 24) and NA (n = 15) were identified by \"Limma\" package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses and Gene set enrichment analysis (GSEA) were used to explore potential signaling pathways. Weighted gene co-expression network analysis (WGCNA) were performed to identify the key genes that were strongly associated with EA and NA. Results: A total of 282 DEGs were identified in induced sputum of NA patients compared with EA patients. In GO and KEGG pathway analyses, DEGs were enriched in positive regulation of cytokine production, and cytokine-cytokine receptor interaction. The results of GSEA showed that ribosome, Parkinson's disease, and oxidative phosphorylation were positively correlated with EA while toll-like receptor signaling pathway, primary immunodeficiency, and NOD-like receptor signaling pathway were positively correlated with NA. Using WGCNA analysis, we identified a set of genes significantly associated NA including IRFG, IRF1, STAT1, IFIH1, IFIT3, GBP1, GBP5, IFIT2, CXCL9, and CXCL11. Conclusion: We identified potential signaling pathways and key genes involved in the pathogenesis of the asthma subsets, especially in neutrophilic asthma.", "claims": [{"id": "claim-method", "statement": "We next identified DEGs between EA and NA group by an empirical Bayes method based on limma package (version 3.46.0) in R software (p < 0.05, |logFC|>0.5) (Ritchie et al., 2015).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35187081", "locator": "sections[4] \"Data Processing and Differentially Expressed Genes Identification\" paragraph 2", "quote": "We next identified DEGs between EA and NA group by an empirical Bayes method based on limma package (version 3.46.0) in R software (p < 0.05, |logFC|>0.5) (Ritchie et al., 2015)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets analyzed during the present study are available from the Gene Expression Omnibus repository (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45111 and https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE137268).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35187081", "locator": "sections[18] \"Data Availability Statement\" paragraph 2", "quote": "The datasets analyzed during the present study are available from the Gene Expression Omnibus repository (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45111 and https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE137268)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The analysis identified 282 differentially expressed genes between eosinophilic asthma and neutrophilic asthma induced sputum samples, including 110 up-regulated and 172 down-regulated in eosinophilic asthma.", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "After data consolidation and removing the batch effects of the two microarray datasets, 282 DEGs (110 up-regulated and 172 down-regulated in EA patients) were screened out using the Limma package (p < 0.05, |logFC| > 0.5) (Supplementary Table S1)."}, "evidence": [{"asset": "source:pmid:35187081", "locator": "sections[10] \"Identification of Differentially Expressed Genes\" paragraph 2", "quote": "After data consolidation and removing the batch effects of the two microarray datasets, 282 DEGs (110 up-regulated and 172 down-regulated in EA patients) were screened out using the Limma package (p < 0.05, |logFC| > 0.5) (Supplementary Table S1)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The analysis identified 282 differentially expressed genes between eosinophilic asthma and neutrophilic asthma induced sputum samples, including 110 up-regulated and 172 down-regulated in eosinophilic asthma.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35187081"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE137268"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE137268"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35187081", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fmolb.2022.805570", "sha256": 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