ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2019
Gene expression profiling reveals candidate biomarkers and probable molecular mechanism in diabetic peripheral neuropathy.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Diabetic Neuropathy: a Critical, Narrative Review of Published Data from 2019.Current pain and headache reports · 2021Pooled it
- Highlighting the Role of Neurofilament Light and Medium Polypeptides in Peripheral Diabetic Neuropathy.Basic and clinical neuroscience · 2025Article
- Article
- Identification of Key Biomarkers and Immune Infiltration in Sciatic Nerve of Diabetic Neuropathy BKS-db/db Mice by Bioinformatics Analysis.Frontiers in pharmacology · 2021Article
- Review
- Identification of Hub Genes in Type 2 Diabetes Mellitus Using Bioinformatics Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- The Protective Effect and Mechanism of Dexmedetomidine on Diabetic Peripheral Neuropathy in Rats.Frontiers in pharmacology · 2020Article
- Gene Expression Profiling of the Sciatic Nerve in Streptozotocin-Induced Diabetic Rats with Peripheral Neuropathy.Journal of diabetes research · 2020Article
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2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate the molecular mechanism and search for candidate biomarkers in the gene expression profile of patients with diabetic peripheral neuropathy (DPN).
methodsDifferentially expressed genes (DEGs) of progressive vs non-progressive DPN patients in dataset GSE24290 were screened. Functional enrichment analysis was conducted, and hub genes were extracted from the protein-protein interaction network. The expression level of hub genes in serum samples in another dataset GSE95849 was obtained, followed by the ROC curve analysis.
resultsA total of 352 DEGs were obtained from dataset GSE24290. They were involved in 14 gene ontology terms and 10 Kyoto Encyclopedia of Genes and Genomes pathways, mainly related to lipid metabolism. Eight hub genes (LEP, APOE, ADIPOQ, FABP4, CD36, GPAM, CIDEC, and PNPLA4) were revealed, and their expression level was obtained in dataset GSE95849. The receiver operating characteristic curve analysis indicated that CIDEC (AUC=1), APOE (AUC=0.833), CD36 (AUC=0.803), and PNPLA4 (AUC=0.861) might be candidate serum biomarkers of DPN.
conclusionLipid metabolism of Schwann cells might be inhibited in progressive DPN. CIDEC, APOE, CD36, and PNPLA4 might be potential predictive biomarkers in the early DPN diagnosis of patients with DM.
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