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Monosaccharide‐Directed Selective Internalization of Gold and Silver Nanoparticles in Hepatic Cancer Cells.

  • Published In: Particle & Particle Systems Characterization, 2023, v. 40, n. 11. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bhagat, Stuti; Tyagi, Simona; Singh, Sanjay 3 of 3

Abstract

The therapeutic success of nanomedicines requires nanomaterials to either adhere to the surface or internalize within the cytoplasm. The endocytosis phenomenon is controlled by the nanomaterial's shape, size, composition, charge, and capping molecules. The membrane potential‐based non‐specific internalization of therapeutic nanomedicines offers limited benefits than receptor‐based specific delivery. Glut receptor‐based internalization of glucose molecules is a well‐known process in cancerous cells, which is one of the most exploited strategies to target cancer cells using nanoparticles. However, the internalization process of other structurally similar monosaccharides (D‐Galactose, Mannose, and D‐Fructose) conjugated nanoparticles remains to be unexplored. Herein, D‐Glucose, D‐Galactose, Mannose, and D‐Fructose‐coated AuNPs and AgNPs have been synthesized and studied the role of Glut receptors in their internalization in liver cancer cells, and compared them with non‐cancerous cells. Results revealed that almost all monosaccharide‐coated NPs exhibited high uptake in liver cancer cells than non‐cancerous cells. Glut‐1 receptor is observed to play a key role in the uptake and inhibition of Glut‐1 receptors by genistein lead to a significant decrease in nanoparticle uptake. In conclusion, monosaccharide‐conjugated nanoparticles can be used to direct the selective internalization of AuNPs and AgNPs in hepatic cancer cells to realize therapeutic and imaging applications. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Particle & Particle Systems Characterization. 2023/11, Vol. 40, Issue 11, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:0934-0866
  • DOI:10.1002/ppsc.202300079
  • Accession Number:173690208
  • Copyright Statement:Copyright of Particle & Particle Systems Characterization 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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