IL7R, GZMA and CD8A serve as potential molecular biomarkers for sepsis based on bioinformatics analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39654893", "kind": "science-record", "revision": 3, "content_hash": "sha256:ddf06b9e46316d799a653eae93201e7040f7b4d728697d804723138432b14d09", "created_at": "2026-11-01T20:29:56Z", "updated_at": "2026-11-01T22:13:18Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "IL7R, GZMA and CD8A serve as potential molecular biomarkers for sepsis based on bioinformatics analysis.", "doi": "10.3389/fimmu.2024.1445858", "pmid": "39654893", "authors": ["Jin Li", "Lantao Wang", "Bin Yu", "Jie Su", "Shimin Dong"], "journal": "Frontiers in immunology", "year": 2024, "abstract": "Purpose: Sepsis is an unusual systemic reaction to what is sometimes an otherwise ordinary infection, and it probably represents a pattern of response by the immune system to injury. However, the relationship between biomarkers and sepsis remains unclear. This study aimed to find potential molecular biomarkers, which could do some help to patients with sepsis.\nMethods: The sepsis dataset GSE28750, GSE57065 was downloaded from the GEO database, and ten patients with or without sepsis from our hospital were admitted for RNA-seq and the differentially expressed genes (DEGs) were screened. The Metascape database was used for functional enrichment analysis and was used to found the differential gene list. Protein-protein interaction network was used and further analyzed by using Cytoscape and STRING. Logistic regression and Correlation analysis were used to find the potential molecular biomarkers.\nResults: Taking the intersection of the three datasets yielded 287 differential genes. The enrichment results included Neutrophil degranulation, leukocyte activation, immune effectors process, positive regulation of immune response, regulation of leukocyte activation. The top 10 key genes of PPI connectivity were screened using cytoHubba plugin, which were KLRK1, KLRB1, IL7R, GZMA, CD27, PRF1, CD8A, CD2, IL2RB, and GZMB. All of the hub genes are higher expressed in health group of different databases. Logistic regression showed that IL7R, GZMA and CD8A proteins were analyzed and all of them were statistically significant. Correlation analysis showed that there was a statistically significant correlation between IL7R, GZMA and CD8A.\nConclusion: KLRK1, KLRB1, IL7R, GZMA, CD27, PRF1, CD8A, CD2, IL2RB, GZMB are key genes in sepsis, which associated with the development of sepsis. However, IL7R, GZMA and CD8A may serve as the attractively potential molecular biomarkers for sepsis.", "claims": [{"id": "claim-method", "statement": "Univariate and multivariate logistic regression analyses were performed to analyze the potential molecular biomarkers.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39654893", "locator": "sections[9] \"Statistical analysis\" paragraph 2", "quote": "Univariate and multivariate logistic regression analyses were performed to analyze the potential molecular biomarkers."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39654893", "locator": "sections[20] \"Data availability statement\" paragraph 2", "quote": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Univariate and multivariate logistic regression identified IL7R, GZMA, and CD8A as statistically significant, and correlation analysis showed a statistically significant correlation among them.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39654893", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Logistic regression showed that IL7R, GZMA and CD8A proteins were analyzed and all of them were statistically significant."}, {"asset": "source:pmid:39654893", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Correlation analysis showed that there was a statistically significant correlation between IL7R, GZMA and CD8A."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Univariate and multivariate logistic regression identified IL7R, GZMA, and CD8A as statistically significant, and correlation analysis showed a statistically significant correlation among them.", "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:39654893"], "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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