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pmid:36741233

Identification of Adipogenesis Subgroups and Immune Infiltration Characteristics in Diabetic Peripheral Neuropathy.

Yumin Lin · Liyuan Qu · Jintao Wu · Meicen Pu · Yijuan Huang · Ying Cao

Journal of immunology research · 2023 doi:10.1155/2023/3673094

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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pmid:36741233
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2026-11-01T19:01:18Z
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title
Identification of Adipogenesis Subgroups and Immune Infiltration Characteristics in Diabetic Peripheral Neuropathy.
doi
10.1155/2023/3673094
pmid
36741233
authors array · 6 items
[0]
Yumin Lin
[1]
Liyuan Qu
[2]
Jintao Wu
[3]
Meicen Pu
[4]
Yijuan Huang
[5]
Ying Cao
journal
Journal of immunology research
year
2023
abstract
Dysregulation of adipogenesis is related to diabetic peripheral neuropathy (DPN) pathogenesis, which may be mediated by immune infiltration. Nevertheless, the expression patterns of multiple adipogenesis-related genes and the differences of immune infiltration in different lipid metabolism levels remain unknown. GSE95849, a gene expression matrix containing DPN patients and healthy participants, was downloaded from Gene Expression Omnibus (GEO) database. Differentially expressed adipogenesis-related genes (DEARGs) were screened by overlapping the adipogenesis-related genes with differentially expressed genes (DEGs). DPN patients from GSE24290 and GSE148059 were divided into two adipogenesis subgroups according to the expression of DEARGs. The single-sample gene set enrichment analysis (ssGSEA) was used to estimate the abundance of the immune cells between two subgroups. The analysis of immune infiltration suggested that a variety of immune cells and immune processes were elevated in the high expression group of DEARGs. The differentially expressed genes of the two subgroups were mainly enriched in biological processes and signaling pathways related to lipid metabolism. PPARG, FABP4, LIPE, FASN, SCD, DGAT2, PNPLA2, ADIPOQ, LEP, and CEBPA were identified as the hub genes of the two subgroups, whose related transcription factors (TFs) and miRNAs were predicted. An immunohistochemical assay was used to verify the expression of hub genes in DPN nerve tissues. Our comprehensive analysis of adipogenesis subgroups in DPN illustrated that different expression patterns of DEARGs may lead to different immune and inflammatory states. The identification of DEARGs may help to further distinguish the different characteristics of DPN patients and lay the foundation for targeted treatment. Our findings may bring a novel perspective to the diagnosis and treatment of DPN patients.
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The “limma” R package was used to normalize the expression matrix and analyzed differentially expressed genes (DEGs) between DPN and healthy people.
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A total of 74 DEARGs were selected through the intersection of the DEGs and the adipogenesis-related genes.
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sections[15] "3.1. Identification of DEARGs" paragraph 2
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A total of 74 DEARGs were selected through the intersection of the DEGs and the adipogenesis-related genes (Table S2).
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A total of 74 DEARGs were selected through the intersection of the DEGs and the adipogenesis-related genes.
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Genome-Wide Profiling of DNA Methylation and Gene Expression Identifies Candidate Genes for Human Diabetic Neuropathy (RNA-Seq)
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Sural nerve of progressive and non-progressive diabetic neuropathy patients
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Transcriptional profiling of diabetic peripheral neuropathy patients, diabetic patients, and healthy participants
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factors (TFs) and miRNAs were predicted. An immunohistochemical assay was used to verify the expression of h
[1]
analysis. Table S8: KEGG analysis. Table S9: IHC assay.Click here for additional data file.
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assay:2
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36741233", "kind": "science-record", "revision": 4, "content_hash": "sha256:aadbbeb97555d5b0e610f0f2e966be573f5cc80b891617513ffeff8671ef0f2c", "created_at": "2026-11-01T19:01:18Z", "updated_at": "2026-11-01T22:51:10Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Adipogenesis Subgroups and Immune Infiltration Characteristics in Diabetic Peripheral Neuropathy.", "doi": "10.1155/2023/3673094", "pmid": "36741233", "authors": ["Yumin Lin", "Liyuan Qu", "Jintao Wu", "Meicen Pu", "Yijuan Huang", "Ying Cao"], "journal": "Journal of immunology research", "year": 2023, "abstract": "Dysregulation of adipogenesis is related to diabetic peripheral neuropathy (DPN) pathogenesis, which may be mediated by immune infiltration. Nevertheless, the expression patterns of multiple adipogenesis-related genes and the differences of immune infiltration in different lipid metabolism levels remain unknown. GSE95849, a gene expression matrix containing DPN patients and healthy participants, was downloaded from Gene Expression Omnibus (GEO) database. Differentially expressed adipogenesis-related genes (DEARGs) were screened by overlapping the adipogenesis-related genes with differentially expressed genes (DEGs). DPN patients from GSE24290 and GSE148059 were divided into two adipogenesis subgroups according to the expression of DEARGs. The single-sample gene set enrichment analysis (ssGSEA) was used to estimate the abundance of the immune cells between two subgroups. The analysis of immune infiltration suggested that a variety of immune cells and immune processes were elevated in the high expression group of DEARGs. The differentially expressed genes of the two subgroups were mainly enriched in biological processes and signaling pathways related to lipid metabolism. PPARG, FABP4, LIPE, FASN, SCD, DGAT2, PNPLA2, ADIPOQ, LEP, and CEBPA were identified as the hub genes of the two subgroups, whose related transcription factors (TFs) and miRNAs were predicted. An immunohistochemical assay was used to verify the expression of hub genes in DPN nerve tissues. Our comprehensive analysis of adipogenesis subgroups in DPN illustrated that different expression patterns of DEARGs may lead to different immune and inflammatory states. The identification of DEARGs may help to further distinguish the different characteristics of DPN patients and lay the foundation for targeted treatment. Our findings may bring a novel perspective to the diagnosis and treatment of DPN patients.", "claims": [{"id": "claim-method", "statement": "The “limma” R package was used to normalize the expression matrix and analyzed differentially expressed genes (DEGs) between DPN and healthy people.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36741233", "locator": "sections[3] \"2.1. Data Collection\" paragraph 2", "quote": "The “limma” R package was used to normalize the expression matrix and analyzed differentially expressed genes (DEGs) between DPN and healthy people."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All the datasets we used in this study can be found in Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36741233", "locator": "sections[25] \"Data Availability\" paragraph 2", "quote": "All the datasets we used in this study can be found in Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A total of 74 DEARGs were selected through the intersection of the DEGs and the adipogenesis-related genes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36741233", "locator": "sections[15] \"3.1. Identification of DEARGs\" paragraph 2", "quote": "A total of 74 DEARGs were selected through the intersection of the DEGs and the adipogenesis-related genes (Table S2)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A total of 74 DEARGs were selected through the intersection of the DEGs and the adipogenesis-related 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:36741233"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE148059"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE148059"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36741233", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2023/3673094", "sha256": 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE95849", "GSE24290", "GSE148059"], "resolved_accessions": ["GSE95849", "GSE24290", "GSE148059"], "statements": ["All the datasets we used in this study can be found in Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/)."], "basis": "The paper names GSE95849, GSE24290, GSE148059 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:36741233", "data:geo:GSE148059"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE148059"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:25:47Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 9531, "completion_tokens": 2141, "cached_tokens": 256}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:36741233", "type": "paper", "label": "pmid:36741233"}, {"id": "source:pmid:36741233", "type": "manuscript", "label": "PMID 36741233 full text"}, {"id": "data:geo:GSE148059", "type": "dataset", "label": "GEO GSE148059"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:36741233", "type": "paper", "label": "pmid:36741233"}, {"id": "source:pmid:36741233", "type": "manuscript", "label": "PMID 36741233 full text"}, {"id": "data:geo:GSE148059", "type": "dataset", "label": "GEO GSE148059"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-36741233", "type": "extraction", "used": ["source:pmid:36741233"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE148059", "type": "accession_resolution", "used": ["data:geo:GSE148059"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:36741233", "parent_hash": "sha256:c6a3d70f1a4dd3714bdb27003e55487f2b719ecf5bdf693fe335c89626ee26ab", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE148059 licence not read", "asset:data:geo:GSE148059 not downloaded", "asset:data:geo:GSE24290 licence not read", "asset:data:geo:GSE24290 not downloaded", "asset:data:geo:GSE95849 licence not read", "asset:data:geo:GSE95849 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["factors (TFs) and miRNAs were predicted. An immunohistochemical assay was used to verify the expression of h", "analysis. Table S8: KEGG analysis. Table S9: IHC assay.Click here for additional data file."], "order_basis": "paper_text_order:1456", "id": "assay:1"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The “limma” R package was used to normalize the expression matrix and analyzed differentially expressed genes (DEGs) between DPN and healthy people."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}