Identification of potential key ferroptosis- and autophagy-related genes in myelomeningocele through bioinformatics analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38660270", "kind": "science-record", "revision": 4, "content_hash": "sha256:30ae5ae1ce9b13413d84a10a17b63e82eee3815a4ff004b66da44da080c9f305", "created_at": "2026-11-01T19:20:38Z", "updated_at": "2026-11-01T22:11:45Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of potential key ferroptosis- and autophagy-related genes in myelomeningocele through bioinformatics analysis.", "doi": "10.1016/j.heliyon.2024.e29654", "pmid": "38660270", "authors": ["Xiuwei Wang", "Kaixin Wei", "Min Wang", "Li Zhang"], "journal": "Heliyon", "year": 2024, "abstract": "Myelomeningocele is a common congenital anomaly associated with polygenic disorders worldwide. However, the intricate molecular mechanisms underlying myelomeningocele remain elusive. To investigate whether ferroptosis and ferritinophagy contribute to the pathomechanism of myelomeningocele, differentially expressed genes (DEGs) were identified as novel biomarker and potential treatment agents. The GSE101141 dataset from Gene Expression Omnibus (GEO) was analyzed using GEO2R web tool to obtain DEGs based on |log2 fold change (FC)|≥1.5 and p < 0.05. Two datasets from the Ferroptosis Database (481 genes) and Autophagy Database (551 genes) were intersected with the DEGs from the GSE101141 dataset to identify ferroptosis- and autophagy-related DEGs using Venn diagrams. Functional and pathway enrichment, protein-protein interaction (PPI) network analyses were performed, and candidate genes were selected. Transcription factors (TFs), microRNAs (miRNAs), diseases and chemicals interacting with the candidate genes were identified. Receiver operating characteristic (ROC) curve analysis was performed to validate the diagnostic value of the candidate genes. Sixty ferroptosis-related and 74 autophagy-related DEGs were identified. These DEGs are involved in FoxO signaling pathway. Six candidate genes (EGFR, KRAS, IL1B, SIRT1, ATM, and MAPK8) were selected. miRNAs such as hsa-miR-27a-3p, hsa-miR-877-5p, and hsa-miR-892b, and TFs including P53, POU3F2, TATA are involved in regulation of candidate genes. Diseases such as schizophrenia, fibrosis, and neoplasms are the most relevant to the candidate genes. Chemicals, such as resveratrol, curcumin, and quercetin may have significant implications in the treatment of myelomeningocele. The candidate genes, especially MAPK8, also showed a high diagnostic value for myelomeningocele. These results help to shed light on the molecular mechanism of myelomeningocele and may provide new insights into diagnostic biomarker in the amniotic fluid and potential therapeutic agents of myelomeningocele.", "claims": [{"id": "claim-method", "statement": "The online analysis tool-GEO2R was used to identify DEGs [19]. The screening criteria was set as |log2 fold change (FC)|≥1.5 and p < 0.05 for the differential gene expression analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38660270", "locator": "sections[4] \"DEGs identification\" paragraph 2", "quote": "The online analysis tool-GEO2R was used to identify DEGs [19]. The screening criteria was set as |log2 fold change (FC)|≥1.5 and p < 0.05 for the differential gene expression analysis."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets were analyzed from GEO (https://www.ncbi.nlm.nih.gov/geo), FerrDb (http://www.zhounan.org/ferrdb), and Autophagy Database (http://hamdb.scbdd.com). Data supporting the findings of this study are available from the corresponding author upon request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38660270", "locator": "sections[26] \"Data availability statement\" paragraph 2", "quote": "The datasets were analyzed from GEO (https://www.ncbi.nlm.nih.gov/geo), FerrDb (http://www.zhounan.org/ferrdb), and Autophagy Database (http://hamdb.scbdd.com). 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