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Circulating circular RNAs profiles associated with type 1 diabetes
Author(s) -
Luo Shuoming,
Deng Min,
Xie Zhiguo,
Li Xia,
Huang Gan,
Zhou Zhiguang
Publication year - 2021
Publication title -
diabetes/metabolism research and reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.307
H-Index - 110
eISSN - 1520-7560
pISSN - 1520-7552
DOI - 10.1002/dmrr.3394
Subject(s) - circular rna , microrna , biology , microarray analysis techniques , microarray , fold change , gene , cytoplasm , gene expression , messenger rna , computational biology , in silico , rna , non coding rna , microbiology and biotechnology , genetics
Aims Circular RNAs (circRNAs) have recently been shown to exert important effects in human diseases. However, the roles of circRNAs in type 1 diabetes (T1D) are largely unknown. This study is to identify the circRNA expression profiles in the peripheral blood of patients with T1D and predict their potential regulatory mechanisms and coding potential. Methods CircRNA expression profiles were detected by Arraystar human circRNA microarray. With real‐time PCR validation, multiple bioinformatics approaches were used to explore their biological functions, construct the circRNA‐miRNA‐mRNA interactions, and predict circRNA coding potential. Results A total of 93 differentially expressed circular transcripts were identified in T1D compared with controls, among which 30 were upregulated, and 63 were downregulated. Two circRNAs were identified to have significant differences by RT‐PCR. Gene ontology analysis enriched terms such as cellular protein metabolic process, cytoplasm and zinc ion binding. The proposed molecular functions of these differentially expressed circRNAs, including cellular protein metabolic process, cytoplasm, and binding, may contribute to T1D. The most enriched pathways for these circRNAs were involved in protein processing in the endoplasmic reticulum. Hsa_circ_0072697 may be involved in 50 circRNA‐miRNA‐mRNA signalling pathways related to diabetes, such as circ_0072697‐miR‐15a‐UBASH3A network. Furthermore, hsa_circ_0071224, hsa_circ_0002437, hsa_circ_0084429, hsa_circ_0072697, and hsa_circ_0000787 in T1D were considered to have the most coding potential involved in the pathogenesis of T1D. Conclusions These results showed that circRNAs are aberrantly expressed in the peripheral blood of patients with T1D and may play potential actions by interactions with miRNA and circRNA‐derived peptides in the development of T1D.

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