JOURNAL ARTICLE

Salvianolic acid B, a new type I IRE1 kinase inhibitor, abrogates AngII‐induced angiogenesis by interacting with IRE1 in its active conformation.

  • Published In: Clinical & Experimental Pharmacology & Physiology, 2023, v. 50, n. 1. P. 82 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Fan, Fangtian; Liu, Fang; Shen, Peiliang; Tao, Li; Zhang, Hongjiang; Wu, Hongyan 3 of 3

Abstract

Angiotensin II (AngII)‐mediated pathological angiogenesis is one of the important factors promoting the progression of atherosclerosis, tumour metastasis, and diabetic retinopathy. Here, we first demonstrate that salvianolic acid B (Sal B) attenuated AngII‐induced angiogenesis by downregulating the IRE1/ASK1/JNK/p38MAPK signalling pathway and protected vascular endothelial cells from hypoxia‐induced damage. These pharmacological consequences could be ascribed to the unique interactions between Sal B and the ATP‐binding cavity of IREIα, leading to bi‐directional roles of IRE1 kinase and endonuclease activity; this may possibly be one of the essential mechanisms of the bi‐directional regulation of angiogenesis in different conditions. Moreover, our results indicated that IRE1 was a novel anti‐angiogenesis target and type I IRE1 kinase inhibitor (e.g., Sal B, APY29) and might be a potentially eligible low‐toxicity drug for treating AngII‐mediated pathological angiogenesis. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Clinical & Experimental Pharmacology & Physiology. 2023/01, Vol. 50, Issue 1, p82
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:0305-1870
  • DOI:10.1111/1440-1681.13726
  • Accession Number:160717534
  • Copyright Statement:Copyright of Clinical & Experimental Pharmacology & Physiology 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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