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ABSTRACT: Background
Diabetic retinopathy is a diabetic microvascular complication. Pyroptosis, as a way of inflammatory death, plays an important role in the occurrence and development of diabetic retinopathy, but its underlying mechanism has not been fully elucidated. The purpose of this study is to identify the potential pyroptosis-related genes in diabetic retinopathy by bioinformatics analysis and validation in a diabetic retinopathy model and predict the microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) interacting with them. Subsequently, the competing endogenous RNA (ceRNA) regulatory network is structured to explore their potential molecular mechanism.Methods
We obtained mRNA expression profile dataset GSE60436 from the Gene Expression Omnibus (GEO) database and collecte
SUBMITTER: Wang N
PROVIDER: S-EPMC9357938 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature