4.6 Review

Long Non-coding RNA: An Emerging Contributor and Potential Therapeutic Target in Renal Fibrosis

期刊

FRONTIERS IN GENETICS
卷 12, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2021.682904

关键词

long non-coding RNA; kidney disease; renal fibrosis; fibrosis; diabetic nephropathy

资金

  1. National Natural Science Foundation of China [81770693]
  2. Natural Science Foundation of Hunan province [2020JJ4870]

向作者/读者索取更多资源

Renal fibrosis is a pathological process in chronic kidney disease that leads to renal failure, involving complex molecular mechanisms. Long non-coding RNAs have been implicated in the development and progression of renal fibrosis, offering potential diagnostic, prognostic, and therapeutic applications in RF-associated diseases and CKD transition. Future research directions focus on the role of lncRNAs in RF development and treatment.
Renal fibrosis (RF) is a pathological process that culminates in terminal renal failure in chronic kidney disease (CKD). Fibrosis contributes to progressive and irreversible decline in renal function. However, the molecular mechanisms involved in RF are complex and remain poorly understood. Long non-coding RNAs (lncRNAs) are a major type of non-coding RNAs, which significantly affect various disease processes, cellular homeostasis, and development through multiple mechanisms. Recent investigations have implicated aberrantly expressed lncRNA in RF development and progression, suggesting that lncRNAs play a crucial role in determining the clinical manifestation of RF. In this review, we comprehensively evaluated the recently published articles on lncRNAs in RF, discussed the potential application of lncRNAs as diagnostic and/or prognostic biomarkers, proposed therapeutic targets for treating RF-associated diseases and subsequent CKD transition, and highlight future research directions in the context of the role of lncRNAs in the development and treatment of RF.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据