Publication Cover
Archives of Physiology and Biochemistry
The Journal of Metabolic Diseases
Volume 129, 2023 - Issue 3
136
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

LncRNA XIST protects podocyte from high glucose-induced cell injury in diabetic nephropathy by sponging miR-30 and regulating AVEN expression

, , &
Pages 610-617 | Received 06 Jul 2020, Accepted 16 Nov 2020, Published online: 17 Dec 2020
 

Abstract

Diabetic nephropathy (DN) is one of the most important complications of diabetes mellitus. Thus, it is urgent to develop a novel diagnosis or therapeutic strategy that could suspend DN progression. Moreover, there is increasing evidence demonstrating that long non-coding RNA (lncRNA) acts as critical players in regulating autophagy and are involved in DN. We demonstrated that lncRNA X-inactive specific transcript (XIST) was downregulated in high glucose (HG) treated podocytes, accompanied by increased apoptosis of podocytes. Overexpression of XIST significantly reduced the apoptosis and promoted the number of viable cells of podocyte under HG treatment. Prediction by Targets can and dual-luciferase reporter assay revealed the interaction between miR-30 and XIST and AVEN. Further WB (Western Blot), MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide), and flow cytometry confirmed that XIST could reverse the expression of AVEN and ameliorate HG-induced apoptosis. In conclusion, our research revealed that XIST plays a protective effect on podocyte injury induced by HG through miR-30/AVEN axis.

Author contributions

LBD: Research idea and study design; LBD, WY, ZSQ, LLS: data acquisition; WY, ZSQ, LLS: data analysis/interpretation; WY, ZSQ, LLS: statistical analysis; LBD: supervision or mentorship.

Disclosure statement

No potential conflict of interest was reported by the author(s). Author initials take responsibility that this study has been reported honestly, accurately, and transparently, and accepts accountability for the overall work by ensuring that questions about the accuracy or integrity of any portion of the work are appropriately investigated and resolved.

Data availability statement

All data generated or analysed during this study are included in this article.

Additional information

Funding

The research was supported by National Science Foundation of China 81403172 and National Natural Science Foundation Grant 81860159.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 505.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.