Literature DB >> 34731367

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

Farzaneh Rezaeinejad1, Ali Mirzaei1, Bahman Khalvati2, Gholamabbas Sabz2, Behnam Alipoor3.   

Abstract

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.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  CDR1as; CircHIPK3; Circular RNA; Type 2 diabetes mellitus

Mesh:

Substances:

Year:  2021        PMID: 34731367     DOI: 10.1007/s11033-021-06850-8

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  2 in total

1.  NeoPeptide: an immunoinformatic database of T-cell-defined neoantigens.

Authors:  Wei-Jun Zhou; Zhi Qu; Chao-Yang Song; Yang Sun; An-Li Lai; Ma-Yao Luo; Yu-Zhe Ying; Hu Meng; Zhao Liang; Yan-Jie He; Yu-Hua Li; Jian Liu
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

  2 in total
  3 in total

Review 1.  Circular RNAs in diabetes mellitus and its complications.

Authors:  Wenqi Fan; Haipeng Pang; Zhiguo Xie; Gan Huang; Zhiguang Zhou
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-01       Impact factor: 6.055

Review 2.  Non-coding RNAs in diabetes mellitus and diabetic cardiovascular disease.

Authors:  Chengshun Li; Dongxu Wang; Ziping Jiang; Yongjian Gao; Liqun Sun; Rong Li; Minqi Chen; Chao Lin; Dianfeng Liu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-06       Impact factor: 6.055

Review 3.  Research Advances in the Roles of Circular RNAs in Pathophysiology and Early Diagnosis of Gestational Diabetes Mellitus.

Authors:  Yan-Ping Zhang; Sha-Zhou Ye; Ying-Xue Li; Jia-Li Chen; Yi-Sheng Zhang
Journal:  Front Cell Dev Biol       Date:  2022-01-04
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.