Differential expression and correlation analysis of whole transcriptome for type 2 diabetes mellitus

Early human evidence such as case series or small samples is exploring possible benefits.

• Level A · Stronger Clinical Evidence
• Level B · Emerging clinical evidence with positive signals
• Level C · Early human research exploring benefits
• Level D · Scientific groundwork from lab and animal studies
• Emerging · Emerging topic under active research

Abstract (original English)

Background Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease that accounts for 90% or more of all diabetes cases and contributes to the global public health burden. The pathogenesis of T2DM is extremely complex, and increasing evidence suggests that non-coding RNA (ncRNA) is an important molecule involved in the regulation of T2DM. However, there are still many unknown lncRNAs and circRNAs that need further exploration. This study aims to explore new lncRNAs and circRNAs and their potential biological functions in T2DM. Methods This study utilized high-throughput whole-transcriptome RNA sequencing technology to sequence and analyze five whole blood samples from each group, identifying differentially expressed mRNAs, lncRNAs, circRNAs, and miRNAs between the T2DM group and the control group. The biological functions of the differentially expressed RNAs were analyzed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Subsequent association analysis was performed based on the screened differentially expressed mRNA, lncRNA, circRNA, and miRNA to construct a competitive endogenous RNA (ceRNA) network. Results Differential expression results showed that 411 mRNAs were differentially expressed, 500 lncRNAs were differentially expressed, 356 circRNAs were differentially expressed, and 67 miRNAs were differentially expressed in

Evidence level

Early human evidence such as case series or small samples is exploring possible benefits.

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