Literature DB >> 33733861

Non-Coding RNA and Diabetic Kidney Disease.

Huiwen Ren1, Qiuyue Wang2.   

Abstract

Diabetic kidney disease (DKD) is one of the most common chronic microvascular complications of diabetes. In addition to the characteristic clinical manifestations of proteinuria, it also has a complex pathological process that results from the combined effects of multiple factors involving the whole renal structure such as glomeruli, renal tubules, and blood vessels. Non-coding RNAs (ncRNA) are transcripts with no or low coding potential, among which micro RNA (miRNA) has been widely studied as a functional miRNA involved in regulation and a potential biomarker for disease prediction. The abundance of long coding RNA (lncRNA) in vivo is highly expressed with a certain degree of research progress, but the structural similarity makes the research still challenging. The research of circular RNA (circRNA) is still in its early stages. It is more relevant to the study to provide a more relevant link between diseases in the kidney and other tissues or organs. This classification review mainly summarized the biogenesis characteristics, the pathological mechanism of ncRNA-regulating diseases, the ways of ncRNA in the clinical prediction as a potential biomarker, and the interaction networks of ncRNA.

Entities:  

Keywords:  circular RNA; diabetic kidney disease; long non-coding RNA; microRNA; non-coding RNA

Mesh:

Substances:

Year:  2021        PMID: 33733861     DOI: 10.1089/dna.2020.5973

Source DB:  PubMed          Journal:  DNA Cell Biol        ISSN: 1044-5498            Impact factor:   3.311


  2 in total

1.  Integrated Analysis of the CircRNA-Based ceRNA Network in Renal Fibrosis Induced by Ischemia Reperfusion Injury.

Authors:  Lei Wei; Zhixiang Yu; Limin Liu; Ying Zhou; Xiao Bai; Liya Wang; Ming Bai; Shiren Sun
Journal:  Front Genet       Date:  2022-02-10       Impact factor: 4.599

Review 2.  TIMP3 involvement and potentiality in the diagnosis, prognosis and treatment of diabetic nephropathy.

Authors:  Viviana Casagrande; Massimo Federici; Rossella Menghini
Journal:  Acta Diabetol       Date:  2021-06-28       Impact factor: 4.280

  2 in total

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