CD8A is a Promising Biomarker Associated with Immunocytes Infiltration in Hyperoxia-Induced Bronchopulmonary Dysplasia.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37092130", "kind": "science-record", "revision": 4, "content_hash": "sha256:b9500eb3065044917fa3b51eeffd0f1450de0666fa3e39ea4cf50faf56afae89", "created_at": "2026-11-01T19:01:45Z", "updated_at": "2026-11-01T22:51:46Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "CD8A is a Promising Biomarker Associated with Immunocytes Infiltration in Hyperoxia-Induced Bronchopulmonary Dysplasia.", "doi": "10.2147/JIR.S397491", "pmid": "37092130", "authors": ["Yiting Du", "Limin Zuo", "Ying Xiong", "Xuedong Wang", "Jun Zou", "Hong Xu"], "journal": "Journal of inflammation research", "year": 2023, "abstract": "Background: Bronchopulmonary dysplasia (BPD) refers to a chronic lung disease which is commonly observed in preterm infants. It can usually be caused by several pathological processes that endanger the long-term lung development, such as inflammation and immune dysfunction.\nMethods: In this study, a bioinformatics approach was applied to identify the differentially expressed immune-related genes (DEIRGs). We downloaded the transcriptional profiles (GSE32472 dataset) from the Gene Expression Omnibus (GEO) database and performed gene set enrichment analysis (GSEA). Cell type Identification By Estimating Relative Subsets of RNA Transcripts (CIBERSORT), microenvironment cell populations counter (MCPcounter), and Estimation of STromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) were used for the analysis of the immune cell infiltration landscape of BPD. A weighted co-expression network was subsequently constructed using weighted gene co-expression network analysis (WGCNA) to screen candidate differentially expressed immune related genes (DEIRGs).\nResults: GSEA results indicated that immune-related pathways were mainly involved in BPD. Ten significantly different immune cell types were observed between BPD and normal groups. A total of 228 DEGs in the turquoise module were identified, and 31 DEIRGs were further identified. Cluster of the differentiation 8 alpha (CD8A) expression was down-regulated in BPD, and its expression was validated by the GSE25286, GSE25293, GSE99633 datasets and qRT-PCR. In addition, CD8A expression was closely associated with immune cells infiltration, especially T cells CD8 and neutrophil.\nConclusion: A distinct immune cell infiltration landscape was found between BPD and normal group. CD8A can be a novel candidate biomarker for BPD, which plays an essential role in the onset and progress of hyperoxia-related BPD via the disruption of immune cell functions.", "claims": [{"id": "claim-method", "statement": "DEGs between normal and BPD groups of the GSE32472 dataset were identified using the limma package, and they were screened based on the cutoff criteria with p.adj < 0.05 and∣logFC∣ ≥ 0.3.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37092130", "locator": "sections[6] \"Identification of Differentially Expressed Genes (DEGs) and WGCNA\" paragraph 2", "quote": "DEGs between normal and BPD groups of the GSE32472 dataset were identified using the limma package, and they were screened based on the cutoff criteria with p.adj < 0.05 and∣logFC∣ ≥ 0.3."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data in the present study can be obtained from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37092130", "locator": "sections[22] \"Data Sharing Statement\" paragraph 2", "quote": "All data in the present study can be obtained from the corresponding author upon reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "We used the “limma” package to identify the DEGs between the BPD and normal groups. As shown in Figure 4A and Table S2, a total of 2000 DEGs were obtained based on the cutoff criteria with p.adj < 0.05 and∣logFC∣ ≥ 0.3, of which 834 genes were down-regulated and 1166 genes were up-regulated.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37092130", "locator": "sections[15] \"Identification of DEGs and WGCNA\" paragraph 2", "quote": "We used the “limma” package to identify the DEGs between the BPD and normal groups. As shown in Figure 4A and Table S2, a total of 2000 DEGs were obtained based on the cutoff criteria with p.adj < 0.05 and∣logFC∣ ≥ 0.3, of which 834 genes were down-regulated and 1166 genes were up-regulated."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "We used the “limma” package to identify the DEGs between the BPD and normal groups. As shown in Figure 4A and Table S2, a total of 2000 DEGs were obtained based on the cutoff criteria with p.adj < 0.05 and∣logFC∣ ≥ 0.3, of which 834 genes were down-regulated and 1166 genes were up-regulated.", "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:37092130"], "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:GSE25286"], "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:GSE25286"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37092130", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/JIR.S397491", "sha256": 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