Abstract:Objective: 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.
Methods: GSE95849 was downloaded from the Gene Expression Omnibus database (GEO) for differential analysis, together with the identified diabetic peripheral neuropathy-associated genes and the three major metabolism-associated genes… Show more
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