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Transcriptome analysis reveals the molecular mechanism of Baduanjin in improving type 2 diabetes

ABSTRACT: Among the many clinical practices that use Baduanjin as a treatment for type 2 diabetes patients, it has shown to be effective, but there is still a lack of research on molecular regulation mechanisms. We detected the levels of lncRNA, circRNA, and mRNA in the blood of type 2 diabetes patients before and after the intervention of Baduanjin for 12 weeks. Our analysis used sequencing and bioinformatics methods to identify differentially expressed genes, circRNAs, and lncRNAs possibly related to the regulation of diabetes by Baduanjin. From peripheral blood of patients with diabetes before and after Baduanjin intervention, 4244 DE mRNAs, 463 lncRNAs, and 516 circRNAs were determined. Systematic bioinformatics analysis revealed that the DE genes are functionally rich in oxidative phosphorylation and cytokine-cytokine receptor interaction. In addition, the results indicated that the potential ENST00000512668-G0S2 interplay, which has been methodically validated in the lncRNA prediction database, participates in Baduanjin regulation of diabetes by altering oxidative phosphorylation in patients with diabetes. This finding provides molecular targets for improving the use of Baduanjin as adjunctive therapy for diabetes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE275639 | GEO | 2025/08/01

REPOSITORIES: GEO

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Project description:Purpose: Whole-transcriptome sequencing technology and bioinformatics analysis were applied to systematically analyze the differentially expressed mRNAs, lncRNAs, circRNAs and miRNAs in adipose stem cells (ASCs) from diabetic, old and young patients. Methods: MRNAs, lncRNAs and cirRNAs profiles of adipose stem cells were generated by RNA sequencing, in triplicate, using Illumina HiSeq X Ten . MiRNAs profiles of adipose stem cells were generated by RNA sequencing, in triplicate, using BGISEQ-500. The sequence reads that passed quality filters were analyzed at the transcript isoform level by using sequence analysis programs, including HISAT, Stringtie, CIRI, find_circ and DESeq. qRT–PCR validation was performed using Takara, Vazyme and Clontech kits. Results: The data showed that 1377 mRNAs, 5353 circRNAs, 932 lncRNAs and 85 miRNAs were significantly differently expressed in adipose stem cells from old patients compared with young patients, with a fold change ≥2 or ≤ -2 and q value <0.001. The data showed that 1878 mRNAs, 22988 circRNAs, 2638 lncRNAs and 122 miRNAs were significantly differently expressed (DE) in adipose stem cells from old patients compared with diabetic patients, with a fold change ≥2 or ≤ -2 and q value <0.001. The results of qRT-PCR confirmed 25 mRNAs, 9 lncRNAs, 8 circRNAs and 13 miRNAs which were consistent with the RNA-seq data. GO and KEGG analyses demonstrated DE mRNAs were significantly enriched in aging and cell senescence terms separately. Conclusion: Our group simultaneously examined the changing expression of miRNAs, mRNAs, lncRNAs and circRNAs in ASCs associated with diabetes and aging. GO and KEGG pathway analyses were conducted to annotate the possible function of the differentially expressed mRNAs. PPI networks were established in order to find critical protein genes highly involved in our disease models. The ceRNA networks including lncRNA-miRNA-mRNA and cirRNA-miRNA-mRNA interactions were successfully constructed based on the bioinformatic analyses and PCR results. Thus, this study may contribute to our understanding of the underlying mechanisms of ASCs instability and provide novel targets to reverse the dysfunction of ASCs isolated from diabetic and old patients.

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Transcriptome analysis reveals the molecular mechanism of Baduanjin in improving type 2 diabetes

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