Circulating expression levels of CircHIPK3 and CDR1as circular-RNAs in type 2 diabetes patients

• Published in: Molecular biology reports Vol. 49; no. 1; pp. 131 - 138
• Main Authors: Rezaeinejad, Farzaneh, Mirzaei, Ali, Khalvati, Bahman, Sabz, Gholamabbas, Alipoor, Behnam
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.01.2022; Springer Nature B.V
• Subjects: Adult; Aged; Animal Anatomy; Animal Biochemistry; Bioinformatics; Biomedical and Life Sciences; blood; blood glucose; Blood pressure; Case-Control Studies; circular RNA; Correlation analysis; Diabetes; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2 - blood; Diabetes Mellitus, Type 2 - diagnosis; Diabetes Mellitus, Type 2 - genetics; Diagnosis, Differential; diastolic blood pressure; Female; Histology; Humans; Life Sciences; Male; Middle Aged; molecular biology; Morphology; noninsulin-dependent diabetes mellitus; Original Article; pathogenesis; Patients; Peripheral blood; Prediabetic State - blood; Prediabetic State - diagnosis; Prediabetic State - genetics; RNA, Circular - blood; RNA, Long Noncoding - blood; ROC Curve; Sensitivity and Specificity; Up-Regulation; Circular RNA; CDR1as; CircHIPK3; Type 2 diabetes mellitus
• ISSN: 0301-4851; 1573-4978; 1573-4978
• DOI: 10.1007/s11033-021-06850-8

Background Recent investigations suggested that deregulated levels of Circular RNAs (circRNAs) could be associated with type 2 diabetes mellitus (T2DM) pathogenesis. Accordingly, this study aimed to determine the expression levels of circulating CircHIPK3, CDR1as and their correlation with biochemical parameters in patients with T2DM, pre-diabetes and control subjects. Methods and results The expression of circRNAs in peripheral blood was determined using QRT-PCR in 70 patients with T2DM, 60 pre-diabetes and in 69 age and sex matched healthy controls. Moreover, bioinformatics tools were applied to explore and predict the potential interactions between circRNAs and other non-coding RNAs (ncRNAs). Our analysis revealed that the expression level of CircHIPK3 was significantly elevated in T2DM patients compared to healthy participants (P < 0.001) and pre-diabetes subjects (P = 0.018). In addition, ROC analysis suggested that at the cutoff value of 0.24 and the sensitivity and specificity of 50% and 88.4%, respectively, CircHIPK3 could distinguish between T2DM patients and control subjects. Furthermore, it was observed that the expression level of CDR1as is higher in pre-diabetic individuals than healthy individuals (P = 0.004). Finally, Spearman correlation analysis showed that there was a significant correlation between CircHIPK3 and CDR1as expression levels and clinical and anthropometrical parameters such as BMI, systolic and diastolic blood pressure, HbA1c and fasting blood glucose (P < 0.005). Conclusions The data of this study provided evidence that the expression levels of CircHIPK3, CDR1as increased in T2DM and pre-diabetes subjects, respectively.