Identification of GMFG as a novel biomarker in IgA nephropathy based on comprehensive bioinformatics analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38601619", "kind": "science-record", "revision": 4, "content_hash": "sha256:aabe5a461f66c5e6e08e415feade0dda4266ac287a322a238e37298026f6befd", "created_at": "2026-11-01T19:20:34Z", "updated_at": "2026-11-01T22:54:06Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of GMFG as a novel biomarker in IgA nephropathy based on comprehensive bioinformatics analysis.", "doi": "10.1016/j.heliyon.2024.e28997", "pmid": "38601619", "authors": ["Xiaoqi Deng", "Yu Luo", "Meiqi Lu", "Yun Lin", "Li Ma"], "journal": "Heliyon", "year": 2024, "abstract": "Background: IgA nephropathy (IgAN) stands as the most prevalent form of glomerulonephritis and ranks among the leading causes of end-stage renal disease worldwide. Regrettably, we continue to grapple with the absence of dependable diagnostic markers and specific therapeutic agents for IgAN. Therefore, this study endeavors to explore novel biomarkers and potential therapeutic targets in IgAN, while also considering their relevance in the context of tumors.\nMethods: We gathered IgAN datasets from the Gene Expression Omnibus (GEO) database. Subsequently, leveraging these datasets, we conducted an array of analyses, encompassing differential gene expression, weighted gene co-expression network analysis (WGCNA), machine learning, receiver operator characteristic (ROC) curve analysis, gene expression validation, clinical correlations, and immune infiltration. Finally, we carried out pan-cancer analysis based on hub gene.\nResults: We obtained 1391 differentially expressed genes (DEGs) in GSE93798 and 783 DGEs in GSE14795, respectively. identifying 69 common genes for further investigation. Subsequently, GMFG was identified the hub gene based on machine learning. In the verification set and the training set, the GMFG was higher in the IgAN group than in the healthy group and all of the GMFG area under the curve (AUC) was more 0.8. In addition, GMFG has a close relationship with the prognosis of malignancies and a range of immune cells.\nConclusions: Our study suggests that GMFG could serve as a promising novel biomarker and potential therapeutic target for both IgAN and certain types of tumors.", "claims": [{"id": "claim-method", "statement": "ROC analysis was used to evaluate the diagnostic significance of these significant genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38601619", "locator": "sections[5] \"Selecting and validation of diagnosis biomarkers in IgAN\" paragraph 2", "quote": "ROC analysis was used to evaluate the diagnostic significance of these significant genes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated during the current study are available in the NCBI GEO (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi) and the University of California, Santa Cruz (UCSC, https://xenabrowser.net/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38601619", "locator": "sections[20] \"Data availability statement\" paragraph 2", "quote": "The datasets generated during the current study are available in the NCBI GEO (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi) and the University of California, Santa Cruz (UCSC, https://xenabrowser.net/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The findings demonstrated a statistically significant increase of GMFG expression in IgAN group, with both AUC values exceeding 0.8, indicating a strong diagnostic potential for GMFG in IgAN.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38601619", "locator": "sections[13] \"Validation of the expression level and assessment of the diagnostic value of GMFG\" paragraph 2", "quote": "The findings demonstrated a statistically significant increase of GMFG expression in IgAN group, with both AUC values exceeding 0.8, indicating a strong diagnostic potential for GMFG in IgAN."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The findings demonstrated a statistically significant increase of GMFG expression in IgAN group, with both AUC values exceeding 0.8, indicating a strong diagnostic potential for GMFG in IgAN.", "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:38601619"], "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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