Mitochondria dysfunction in airway epithelial cells is associated with type 2-low asthma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37152983", "kind": "science-record", "revision": 4, "content_hash": "sha256:ad989da97437bcc44a1665174cf2644a1e9a43249400c1c8e95f9f389214e738", "created_at": "2026-11-01T19:01:49Z", "updated_at": "2026-11-01T22:51:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Mitochondria dysfunction in airway epithelial cells is associated with type 2-low asthma.", "doi": "10.3389/fgene.2023.1186317", "pmid": "37152983", "authors": ["Lu Zhao", "Jiali Gao", "Gongqi Chen", "Chunli Huang", "Weiqiang Kong", "Yuchen Feng", "Guohua Zhen"], "journal": "Frontiers in genetics", "year": 2023, "abstract": "Background: Type 2 (T2)-low asthma can be severe and corticosteroid-resistant. Airway epithelial cells play a pivotal role in the development of asthma, and mitochondria dysfunction is involved in the pathogenesis of asthma. However, the role of epithelial mitochondria dysfunction in T2-low asthma remains unknown. Methods: Differentially expressed genes (DEGs) were identified using gene expression omnibus (GEO) dataset GSE4302, which is originated from airway epithelial brushings from T2-high (n = 22) and T2-low asthma patients (n = 20). Gene set enrichment analysis (GSEA) was implemented to analyze the potential biological pathway involved between T2-low and T2-high asthma. T2-low asthma related genes were identified using weighted gene co-expression network analysis (WGCNA). The mitochondria-related genes (Mito-RGs) were referred to the Molecular Signatures Database (MSigDB). T2-low asthma related mitochondria (T2-low-Mito) DEGs were obtained by intersecting the DEGs, T2-low asthma related genes, and Mito-RGs. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) was performed to further explore the potential function of the T2-low-Mito DEGs. In addition, the hub genes were further identified by protein-protein interaction (PPI), and the expressions of hub genes were verified in another GEO dataset GSE67472 and bronchial brushings from patients recruited at Tongji Hospital. Results: Six hundred and ninety-two DEGs, including 107 downregulated genes and 585 upregulated genes were identified in airway epithelial brushings from T2-high and T2-low asthma patients included in GSE4302 dataset. GSEA showed that mitochondrial ATP synthesis coupled electron transport is involved in T2-low asthma. Nine hundred and four T2-low asthma related genes were identified using WGCNA. Twenty-two T2-low-Mito DEGs were obtained by intersecting the DEGs, T2-low asthma and Mito-RGs. The GO enrichment analysis of the T2-low-Mito DEGs showed significant enrichment of mitochondrial respiratory chain complex assembly, and respiratory electron transport chain. PPI network was constructed using 22 T2-low-Mito DEGs, and five hub genes, ATP5G1, UQCR10, NDUFA3, TIMM10, and NDUFAB1, were identified. Moreover, the expression of these hub genes was validated in another GEO dataset, and our cohort of asthma patients. Conclusion: This study suggests that mitochondria dysfunction contributes to T2-low asthma.", "claims": [{"id": "claim-method", "statement": "Differential analysis was performed to identify DEGs in T2-low and T2-high patients from the GSE4302 dataset with the empirical Bayes method using the package “limma” R package (4.2.1), with p < 0.05 and | log2 (fold change, FC) | > 0.4 as criteria.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37152983", "locator": "sections[4] \"2.2 DEGs detection in the airway epithelial brushings from T2-low and T2-high asthma patients\" paragraph 3", "quote": "Differential analysis was performed to identify DEGs in T2-low and T2-high patients from the GSE4302 dataset with the empirical Bayes method using the package “limma” R package (4.2.1), with p < 0.05 and | log2 (fold change, FC) | > 0.4 as criteria."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37152983", "locator": "sections[24] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A total of 692 DEGs, including 107 upregulated genes and 585 downregulated genes, were identified between T2-low and T2-high asthma with | log2 FC | > 0.4 and p < 0.05.", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "A total of 692 DEGs, including 107 upregulated genes and 585 downregulated genes, were identified between T2-low and T2-high asthma with | log2 FC | > 0.4 and p < 0.05."}, "evidence": [{"asset": "source:pmid:37152983", "locator": "sections[14] \"3.1 Identification of the epithelial DEGs between T2-low and T2-high asthma\" paragraph 2", "quote": "A total of 692 DEGs, including 107 upregulated genes and 585 downregulated genes, were identified between T2-low and T2-high asthma with | log2 FC | > 0.4 and p < 0.05."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A total of 692 DEGs, including 107 upregulated genes and 585 downregulated genes, were identified between T2-low and T2-high asthma with | log2 FC | > 0.4 and p < 0.05.", "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:37152983"], "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. 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