JOURNAL ARTICLE

ALKBH5 modulates bone cancer pain in a rat model by suppressing NR2B expression.

  • Published In: Biotechnology & Applied Biochemistry, 2024, v. 71, n. 5. P. 1105 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Song, Kun; Cao, Qionghua; Yang, Yanping; Zuo, Yuefen; Wu, Xianping 3 of 3

Abstract

Currently, the clinical treatment of bone cancer pain (BCP) is mainly related to its pathogenesis. The aim of the present study was to elucidate the potential role of N6‐methyladenosine (m6A) in BCP in the spinal cord dorsal root ganglia (DRG) of BCP rats and its specific regulatory mechanism in N‐methyl‐d‐aspartate receptor subunit 2B (NR2B). A rat model of BCP was constructed by tibial injection of Walker256 cells, and ALKBH5 and NR2B expression in the spinal cord DRG was detected. ALKBH5 was silenced or overexpressed in PC12 cells to verify the regulatory effect of ALKBH5 on NR2B. The specific mechanism underlying the interaction between ALKBH5 and NR2B was investigated using methylated RNA immunoprecipitation and dual‐luciferase reporter gene assays. The results showed increased expression of m6A, decreased expression of ALKBH5, and increased expression of NR2B in the DRG of the BCP rat model. Overexpression of ALKBH5 inhibited NR2B expression, whereas interference with ALKBH5 caused an increase in NR2B expression. In NR2B, interference with ALKBH5 caused an increase in m6A modification, which caused an increase in NR2B. Taken together, ALKBH5 affected the expression of NR2B by influencing the stability of the m6A modification site of central NR2B, revealing that ALKBH5 is a therapeutic target for BCP. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Biotechnology & Applied Biochemistry. 2024/10, Vol. 71, Issue 5, p1105
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:0885-4513
  • DOI:10.1002/bab.2601
  • Accession Number:180172664
  • Copyright Statement:Copyright of Biotechnology & Applied Biochemistry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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