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pmid:40958910

Bioinformatics-based analysis and experimental validation of PANoptosis-related biomarkers and immune infiltration in diabetic nephropathy.

Su Zhang · Yun Zhang · Weitao Hu · Chunyan Huang · Yifang Zhang · Xiaoqing Chen

Frontiers in endocrinology · 2025 doi:10.3389/fendo.2025.1610882

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:40958910
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science-record
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sha256:c71505f3557b3a41fbab112ec13021a463e7c70178988c0814e92791f5319b2d
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:31:02Z
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2026-11-01T22:57:10Z
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paper object · 10 fields
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title
Bioinformatics-based analysis and experimental validation of PANoptosis-related biomarkers and immune infiltration in diabetic nephropathy.
doi
10.3389/fendo.2025.1610882
pmid
40958910
authors array · 6 items
[0]
Su Zhang
[1]
Yun Zhang
[2]
Weitao Hu
[3]
Chunyan Huang
[4]
Yifang Zhang
[5]
Xiaoqing Chen
journal
Frontiers in endocrinology
year
2025
abstract
Background: Diabetic nephropathy (DN) is a frequent and serious microvascular complication of diabetes. PANoptosis is a novel mode of cell death that encompasses apoptosis, necrosis and pyroptosis. However, effective PANoptosis-related biomarkers for DN are currently lacking. Therefore, this study aimed to elucidate the role of PANoptosis-related genes (PRGs) in the development of DN and their potential as diagnostic markers of DN, as well as their association with immune cell infiltration. Materials and methods: We retrieved the DN-related dataset GSE30122 from the GEO database. Then differentially expressed genes (DEGs) were identified and DEGs were analyzed for functional enrichment. In addition, we obtained key gene modules by WGCNA. Subsequently, we gained the intersecting genes of DEGs, key gene modules and PRGs. Four algorithms were further used to screen the key DE-PRGs in DN (DNDE-PRGs). We also investigated the biological functions of the key DNDE-PRGs by GSEA software. Furthermore, we analyzed the immune infiltration of DN tissues. The correlation of key genes with glomerular filtration rate (GFR) and blood urea nitrogen (BUN) was also examined. Finally, key genes were validated using clinical samples and db/db mice. Results: We identified two key DNDE-PRGs (AKT3 and FYN). They showed good diagnostic value in the DN. And they were associated with immune cell infiltration. In addition, they have a correlation with GFR and BUN. Finally, they were validated in clinical samples and animal experiments. Conclusion: AKT3 and FYN may be good PANoptosis-related biomarkers in DN. This provides new insights into the pathogenesis of DN.
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We carried out residue completion, background correction and normalization of GSE30122 with the “limma” package (17).
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We carried out residue completion, background correction and normalization of GSE30122 with the “limma” package (17).
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The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.
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AKT3 and FYN may be good PANoptosis-related biomarkers in DN.
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sections[0] "Abstract" paragraph 3
quote
We identified two key DNDE-PRGs (AKT3 and FYN). They showed good diagnostic value in the DN. And they were associated with immune cell infiltration. In addition, they have a correlation with GFR and BUN. Finally, they were validated in clinical samples and animal experiments.
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sections[0] "Abstract" paragraph 4
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AKT3 and FYN may be good PANoptosis-related biomarkers in DN. This provides new insights into the pathogenesis of DN.
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AKT3 and FYN may be good PANoptosis-related biomarkers in DN.
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Transcriptome Analysis of Human Diabetic Kidney Disease
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Transcriptome Analysis of Human Diabetic Kidney Disease (DKD Glomeruli vs. Control Glomeruli)
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Exon Level Expression Profiling of Diabetic Nephropathy
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a novel mode of cell death that encompasses apoptosis, necrosis and pyroptosis. However, effective
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ne was stored at -80°C for further analysis. Mice were sacrificed at 12th week. Kidney and blood samples were
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r than in the db/db group ( Figures 7E, F ). RT-qPCR results were consistent with IF staining ( F
[1]
han in the db/db group ( Figures 7E, F ). RT-qPCR results were consistent with IF staining ( F
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We carried out residue completion, background correction and normalization of GSE30122 with the “limma” package (17).
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40958910", "kind": "science-record", "revision": 4, "content_hash": "sha256:c71505f3557b3a41fbab112ec13021a463e7c70178988c0814e92791f5319b2d", "created_at": "2026-11-01T20:31:02Z", "updated_at": "2026-11-01T22:57:10Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics-based analysis and experimental validation of PANoptosis-related biomarkers and immune infiltration in diabetic nephropathy.", "doi": "10.3389/fendo.2025.1610882", "pmid": "40958910", "authors": ["Su Zhang", "Yun Zhang", "Weitao Hu", "Chunyan Huang", "Yifang Zhang", "Xiaoqing Chen"], "journal": "Frontiers in endocrinology", "year": 2025, "abstract": "Background: Diabetic nephropathy (DN) is a frequent and serious microvascular complication of diabetes. PANoptosis is a novel mode of cell death that encompasses apoptosis, necrosis and pyroptosis. However, effective PANoptosis-related biomarkers for DN are currently lacking. Therefore, this study aimed to elucidate the role of PANoptosis-related genes (PRGs) in the development of DN and their potential as diagnostic markers of DN, as well as their association with immune cell infiltration.\nMaterials and methods: We retrieved the DN-related dataset GSE30122 from the GEO database. Then differentially expressed genes (DEGs) were identified and DEGs were analyzed for functional enrichment. In addition, we obtained key gene modules by WGCNA. Subsequently, we gained the intersecting genes of DEGs, key gene modules and PRGs. Four algorithms were further used to screen the key DE-PRGs in DN (DNDE-PRGs). We also investigated the biological functions of the key DNDE-PRGs by GSEA software. Furthermore, we analyzed the immune infiltration of DN tissues. The correlation of key genes with glomerular filtration rate (GFR) and blood urea nitrogen (BUN) was also examined. Finally, key genes were validated using clinical samples and db/db mice.\nResults: We identified two key DNDE-PRGs (AKT3 and FYN). They showed good diagnostic value in the DN. And they were associated with immune cell infiltration. In addition, they have a correlation with GFR and BUN. Finally, they were validated in clinical samples and animal experiments.\nConclusion: AKT3 and FYN may be good PANoptosis-related biomarkers in DN. This provides new insights into the pathogenesis of DN.", "claims": [{"id": "claim-method", "statement": "We carried out residue completion, background correction and normalization of GSE30122 with the “limma” package (17).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40958910", "locator": "sections[4] \"Preprocessing of GSE30122 and identification of differentially expressed genes\" paragraph 2", "quote": "We carried out residue completion, background correction and normalization of GSE30122 with the “limma” package (17)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material. 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Finally, they were validated in clinical samples and animal experiments."}, {"asset": "source:pmid:40958910", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "AKT3 and FYN may be good PANoptosis-related biomarkers in DN. This provides new insights into the pathogenesis of DN."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "AKT3 and FYN may be good PANoptosis-related biomarkers in DN.", "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:40958910"], "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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