Identification of genes and signaling pathways associated with diabetic neuropathy using a weighted correlation network analysis: A consort study.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:27893688", "kind": "science-record", "revision": 5, "content_hash": "sha256:9d83b9afe0e48262d23b4c7552e477a502a11730d1f20687778be72638316c9e", "created_at": "2026-11-01T15:40:21Z", "updated_at": "2026-11-01T21:20:43Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of genes and signaling pathways associated with diabetic neuropathy using a weighted correlation network analysis: A consort study.", "doi": "10.1097/MD.0000000000005443", "pmid": "27893688", "authors": ["Ya Li", "Weiguo Ma", "Chuanqing Xie", "Min Zhang", "Xiaohong Yin", "Fenfen Wang", "Jie Xu", "Bingyin Shi"], "journal": "Medicine", "year": 2016, "abstract": "BACKGROUND: The molecular mechanisms behind diabetic neuropathy remains to be investigated.\nMETHODS: This is a secondary study on microarray dataset (GSE24290) downloaded from Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI), which included 18 nerve tissue samples of progressing diabetic neuropathy (fibers loss ≥500 fibers/mm) and 17 nerve tissue samples of nonprogressing diabetic neuropathy (fibers loss ≤100 fibers/mm). Differentially expressed genes (DEGs) were screened between progressing and nonprogressing diabetic neuropathy. With the DEGs obtained, a weighted gene coexpression network analysis was conducted to identify gene clusters associated with diabetic neuropathy. Diabetes-related microRNAs (miRNAs) and their target genes were predicted and mapped to the genes in the gene clusters identified. Consequently, a miRNA-gene network was constructed, for which gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was performed. Potential drugs for treatment of diabetic neuropathy were also predicted.\nRESULTS: Total 370 upregulated and 379 downregulated DEGs were screened between nonprogressing and progressing diabetic neuropathy. Has-miR-377, has-miR-216a, and has-miR-217 were associated with diabetes. Inflammation was the most significant GO term. The peroxisome proliferator-activated receptor (PPAR) pathway and the adenosine monophosphate (AMP)-activated protein kinase (AMPK) signaling pathway were significantly KEGG pathways significantly enriched with PPAR gamma (PPARG), stearoyl-CoA desaturase (SCD), cluster of differentiation 36 (CD36), and phosphoenolpyruvate carboxykinase 1 (PCK1).\nCONCLUSION: The study suggests that PPARG, SCD, CD36, PCK1, AMPK pathway, and PPAR pathway may be involved in progression of diabetic neuropathy.", "claims": [{"id": "claim-method", "statement": "Significant DEGs between progressing diabetic neuropathy samples and nonprogressing diabetic neuropathy samples were screened using Linear Models for Microarray Analysis package in R language.[15]", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:27893688", "locator": "sections[4] \"Identification of DEGs and two-way hierarchical clustering analysis\" paragraph 2", "quote": "Significant DEGs between progressing diabetic neuropathy samples and nonprogressing diabetic neuropathy samples were screened using Linear Models for Microarray Analysis package in R language.[15]"}], "state": "complete"}, {"id": "claim-data-access", "statement": "It is a secondary study of gene expression dataset (GSE24290) downloaded from NCBI GEO database[13] (http://www.ncbi.nlm.nih.gov/geo/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:27893688", "locator": "sections[3] \"Data preprocessing\" paragraph 2", "quote": "It is a secondary study of gene expression dataset (GSE24290) downloaded from NCBI GEO database[13] (http://www.ncbi.nlm.nih.gov/geo/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study used the Linear Models for Microarray Analysis package in R to identify DEGs between progressing and nonprogressing diabetic neuropathy. The source data were the GSE24290 microarray dataset downloaded from NCBI's Gene Expression Omnibus. The headline result was the identification of 749 DEGs: 370 upregulated and 379 downregulated.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:27893688", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "This is a secondary study on microarray dataset (GSE24290) downloaded from Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI), which included 18 nerve tissue samples of progressing diabetic neuropathy (fibers loss ≥500 fibers/mm2) and 17 nerve tissue samples of nonprogressing diabetic neuropathy (fibers loss ≤100 fibers/mm2)."}, {"asset": "source:pmid:27893688", "locator": "sections[4] \"Identification of DEGs and two-way hierarchical clustering analysis\" paragraph 2", "quote": "Significant DEGs between progressing diabetic neuropathy samples and nonprogressing diabetic neuropathy samples were screened using Linear Models for Microarray Analysis package in R language.[15]"}, {"asset": "source:pmid:27893688", "locator": "sections[10] \"Identification of DEGs\" paragraph 2", "quote": "Total 749 DEGs were screened between nonprogressing diabetic neuropathy and progressing diabetic neuropathy samples, including 370 upregulated DEGs and 379 downregulated DEGs."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study used the Linear Models for Microarray Analysis package in R to identify DEGs between progressing and nonprogressing diabetic neuropathy. 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