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pmid:40330909

Identification of Ferroptosis -Related Genes in MAFLD/MASH and HQHF Validation.

Sutong Liu · Lihui Zhang · Junjiao Xu · Qing Zhao · Dongfang Shang · Xiaoyan Liu · Qiang Zhang · Minghao Liu · Wenxia Zhao

Hepatic medicine : evidence and research · 2025 doi:10.2147/HMER.S509778

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

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title
Identification of Ferroptosis -Related Genes in MAFLD/MASH and HQHF Validation.
doi
10.2147/HMER.S509778
pmid
40330909
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[0]
Sutong Liu
[1]
Lihui Zhang
[2]
Junjiao Xu
[3]
Qing Zhao
[4]
Dongfang Shang
[5]
Xiaoyan Liu
[6]
Qiang Zhang
[7]
Minghao Liu
[8]
Wenxia Zhao
journal
Hepatic medicine : evidence and research
year
2025
abstract
Purpose: Metabolic associated fatty liver disease (MAFLD) and its progressive form, Metabolic Dysfunction-Associated Steatohepatitis(MASH), are prevalent liver disorders with significant health implications. This study aims to identify differentially expressed genes (DEGs) associated with MAFLD/MASH and explore their potential link to ferroptosis, a form of regulated cell death. Methods: We conducted differential expression analysis using two datasets from the GEO database. Genes related to ferroptosis were identified from the Genecards and FerrDb databases, and the intersection genes were obtained by intersecting the DEGs with ferroptosis-related genes. Functional enrichment was performed using GO and KEGG pathways. The clinical diagnostic value of the intersection genes was evaluated through ROC analysis. Finally, the research findings were validated using a high-fat diet (HFD) mouse model, observing the improvement in gene expression with HQHF treatment. Results: We utilized two datasets, GSE89632 and GSE63067, from the GEO database, comprising 39 samples, including 24 healthy controls. Differential expression analysis revealed significant gene expression changes in NAFLD and NASH compared to healthy controls. These DEGs were visualized using volcano plots. Ferroptosis-related genes were identified from Genecards and FerrDb databases, resulting in 1937 unique genes. Venn analysis revealed intersections between DEGs and ferroptosis genes, highlighting potential regulatory roles. Functional enrichment analysis using GO and KEGG pathways indicated significant involvement in cellular components and signaling pathways, such as PPAR and HIF-1. The clinical diagnostic value of intersecting genes was assessed using ROC analysis, demonstrating promising diagnostic potential. In addition, a high-fat diet (HFD) mouse model was used to validate the research findings, showing that HQHF treatment can alleviate lipid deposition and inflammation in the liver. Transmission electron microscopy results indicated that HQHF prevented mitochondrial damage and significantly reduced the content of Fe2+ in the liver, alleviating iron deposition. We verified the reliable genes with diagnostic value through qPCR, and the results suggested that HQHF can lower the transcription levels of P4HA1, NR4A1, and EFEMP1, while increasing the transcription levels of ENo3, GRIA3, ME1, and FADS2, confirming our ROC results. Conclusion: This study provides insights into the molecular mechanisms underlying MAFLD/MASH and suggests ferroptosis-related genes as potential diagnostic biomarkers and therapeutic targets. Further research is warranted to explore these findings in clinical settings.
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The normalizeBetweenArrays function from the limma package was used to normalize the data and perform differential analysis, with the results visualized using the ggplot2 package.
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The disease dataset used in this article was downloaded from the GEO database, and the phenotypic genes were obtained from the Genecards (https://www.genecards.org/) database, http://www.zhounan.org/ferrdb/current/.
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Differential-expression analysis of the GEO datasets identified 4 upregulated and 1 downregulated NAFLD genes overlapping with ferroptosis genes, and 3 upregulated and 3 downregulated NASH genes overlapping with ferroptosis genes.
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The results showed that there were 3 overlapping genes between NASH’s upregulated genes and ferroptosis genes, and 3 overlapping genes among the downregulated genes; for NAFLD, there were 4 overlapping genes in the upregulated genes and 1 overlapping gene among the downregulated genes (Figure 1E–H).
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Differential-expression analysis of the GEO datasets identified 4 upregulated and 1 downregulated NAFLD genes overlapping with ferroptosis genes, and 3 upregulated and 3 downregulated NASH genes overlapping with ferroptosis genes.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40330909", "kind": "science-record", "revision": 4, "content_hash": "sha256:27e50493bdfd47aa011ab73c911a988e788b5ed69bb88375ea9f9d0658092e87", "created_at": "2026-11-01T20:30:29Z", "updated_at": "2026-11-01T22:56:30Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Ferroptosis -Related Genes in MAFLD/MASH and HQHF Validation.", "doi": "10.2147/HMER.S509778", "pmid": "40330909", "authors": ["Sutong Liu", "Lihui Zhang", "Junjiao Xu", "Qing Zhao", "Dongfang Shang", "Xiaoyan Liu", "Qiang Zhang", "Minghao Liu", "Wenxia Zhao"], "journal": "Hepatic medicine : evidence and research", "year": 2025, "abstract": "Purpose: Metabolic associated fatty liver disease (MAFLD) and its progressive form, Metabolic Dysfunction-Associated Steatohepatitis(MASH), are prevalent liver disorders with significant health implications. This study aims to identify differentially expressed genes (DEGs) associated with MAFLD/MASH and explore their potential link to ferroptosis, a form of regulated cell death.\nMethods: We conducted differential expression analysis using two datasets from the GEO database. Genes related to ferroptosis were identified from the Genecards and FerrDb databases, and the intersection genes were obtained by intersecting the DEGs with ferroptosis-related genes. Functional enrichment was performed using GO and KEGG pathways. The clinical diagnostic value of the intersection genes was evaluated through ROC analysis. Finally, the research findings were validated using a high-fat diet (HFD) mouse model, observing the improvement in gene expression with HQHF treatment.\nResults: We utilized two datasets, GSE89632 and GSE63067, from the GEO database, comprising 39 samples, including 24 healthy controls. Differential expression analysis revealed significant gene expression changes in NAFLD and NASH compared to healthy controls. These DEGs were visualized using volcano plots. Ferroptosis-related genes were identified from Genecards and FerrDb databases, resulting in 1937 unique genes. Venn analysis revealed intersections between DEGs and ferroptosis genes, highlighting potential regulatory roles. Functional enrichment analysis using GO and KEGG pathways indicated significant involvement in cellular components and signaling pathways, such as PPAR and HIF-1. The clinical diagnostic value of intersecting genes was assessed using ROC analysis, demonstrating promising diagnostic potential. In addition, a high-fat diet (HFD) mouse model was used to validate the research findings, showing that HQHF treatment can alleviate lipid deposition and inflammation in the liver. Transmission electron microscopy results indicated that HQHF prevented mitochondrial damage and significantly reduced the content of Fe2+ in the liver, alleviating iron deposition. We verified the reliable genes with diagnostic value through qPCR, and the results suggested that HQHF can lower the transcription levels of P4HA1, NR4A1, and EFEMP1, while increasing the transcription levels of ENo3, GRIA3, ME1, and FADS2, confirming our ROC results.\nConclusion: This study provides insights into the molecular mechanisms underlying MAFLD/MASH and suggests ferroptosis-related genes as potential diagnostic biomarkers and therapeutic targets. Further research is warranted to explore these findings in clinical settings.", "claims": [{"id": "claim-method", "statement": "The normalizeBetweenArrays function from the limma package was used to normalize the data and perform differential analysis, with the results visualized using the ggplot2 package.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40330909", "locator": "sections[5] \"Differential Expression Analysis\" paragraph 2", "quote": "The normalizeBetweenArrays function from the limma package was used to normalize the data and perform differential analysis, with the results visualized using the ggplot2 package."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The disease dataset used in this article was downloaded from the GEO database, and the phenotypic genes were obtained from the Genecards (https://www.genecards.org/) database, http://www.zhounan.org/ferrdb/current/.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40330909", "locator": "sections[30] \"Data Sharing Statement\" paragraph 2", "quote": "The disease dataset used in this article was downloaded from the GEO database, and the phenotypic genes were obtained from the Genecards (https://www.genecards.org/) database, http://www.zhounan.org/ferrdb/current/."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Differential-expression analysis of the GEO datasets identified 4 upregulated and 1 downregulated NAFLD genes overlapping with ferroptosis genes, and 3 upregulated and 3 downregulated NASH genes overlapping with ferroptosis genes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40330909", "locator": "sections[19] \"Identification of Differential Genes in NAFLD/NASH\" paragraph 2", "quote": "The results showed that there were 3 overlapping genes between NASH’s upregulated genes and ferroptosis genes, and 3 overlapping genes among the downregulated genes; for NAFLD, there were 4 overlapping genes in the upregulated genes and 1 overlapping gene among the downregulated genes (Figure 1E–H)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Differential-expression analysis of the GEO datasets identified 4 upregulated and 1 downregulated NAFLD genes overlapping with ferroptosis genes, and 3 upregulated and 3 downregulated NASH genes overlapping with ferroptosis genes.", "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:40330909"], "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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