Three genes expressed in relation to lipid metabolism considered as potential biomarkers for the diagnosis and treatment of diabetic peripheral neuropathy

Abstract

Diabetic neuropathy is one of the most common chronic complications and is present in approximately 50% of diabetic patients. A bioinformatic approach was used to analyze candidate genes involved in diabetic distal symmetric polyneuropathy and their potential mechanisms. GSE95849 was downloaded from the Gene Expression Omnibus database for differential analysis, together with the identified diabetic peripheral neuropathy-associated genes and the three major metabolism-associated genes in the CTD database to obtain overlapping Differentially Expressed Genes (DEGs). Gene Set Enrichment Analysis and Functional Enrichment Analysis were performed. Protein–Protein Interaction and hub gene networks were constructed using the STRING database and Cytoscape software. The expression levels of target genes were evaluated using GSE24290 samples, followed by Receiver operating characteristic, curve analysis. And Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the target genes. Finally, mRNA-miRNA networks were constructed. A total of 442 co-expressed DEGs were obtained through differential analysis, of which 353 expressed up-regulated genes and 89 expressed down-regulated genes. The up-regulated DEGs were involved in 742 GOs and 10 KEGG enrichment results, mainly associated with lipid metabolism-related pathways, TGF-β receptor signaling pathway, lipid transport, and PPAR signaling pathway. A total of 4 target genes (CREBBP, EP300, ME1, CD36) were identified. Analysis of subject operating characteristic curves indicated that CREBBP (AUC = 1), EP300 (AUC = 0.917), ME1 (AUC = 0.944) and CD36 (AUC = 1) may be candidate serum biomarkers for DPN. Conclusion: Diabetic peripheral neuropathy pathogenesis and progression is caused by multiple pathways, which also provides clinicians with potential therapeutic tools.

Exploring early DNA methylation alterations in type 1 diabetes: implications of glycemic control

“…Hyperglycemia is known to induce synaptic dysfunction and disrupt the balance of neurotransmitter secretion ( 47 ). Furthermore, differential gene expression analyses in various diabetic tissues were similar to our findings, with overlapping pathways observed in skeletal muscle ( 48 ), β-cell-enriched tissue ( 49 ), diabetic kidney ( 50 , 51 ), and diabetic peripheral neuropathy ( 52 ).…”

NADPH Dynamics: Linking Insulin Resistance and β-Cells Ferroptosis in Diabetes Mellitus

“…The studies by Yang et al, and Li et al, have provided insights into the upregulation of ME1 in the context of diabetes. Elevated ME1 expression was observed in patients with diabetic peripheral neuropathy and T2DM, respectively [ 50 , 51 ]. Additionally, Li et al, reported an increase in ME2 expression in T2D patients [ 51 ].…”

Understanding When Diabetic Patients’ Psychological Burden affects their Marital Satisfaction

“…Furthermore, projections indicate that the prevalence of diabetes is expected to rise to 10.2% (578 million) by the year 2030 and 10.9% (700 million) by 2045. While the prevalence of type 2 diabetes is on the rise globally, it is noteworthy that a significant majority of individuals with diabetes, around 79%, reside in low-and middle-income countries (Yang & Wang, 2023). Furthermore, it is anticipated that the increase in prevalence will be particularly pronounced in low-income countries (Kaiser et al, 2018).…”

“…People who have diabetes have a greater risk of morbidity and mortality, in addition to increased costs associated with medical care, as comparison to the general population. According to the International Diabetes Federation (IDF), diabetes was the cause of 4.2 million deaths and at least 10% of global health expenditures in 2019 (USD 760 billion dollars) (Yang & Wang, 2023). Diabetes is commonly regarded as a controllable condition through the use of lifestyle adjustments and medical interventions.…”