Structure-Function Relationships in Polymeric Multilayer Capsules Designed for Cancer Drug Delivery - Laboratoire de Recherche en Nanosciences - EA 4682 Access content directly
Preprints, Working Papers, ... Year :

Structure-Function Relationships in Polymeric Multilayer Capsules Designed for Cancer Drug Delivery

Abstract

Targeted delivery of cancer drugs to tumor-specific molecular targets represents a major challenge in modern personalized cancer medicine. Engineering of micron and submicron polymeric multilayer capsules allows obtaining multifunctional theranostic systems serving as controllable stimulus-responsive tools with a high clinical potential to be used in cancer therapy and detection. The functionalities of such theranostic systems are determined by the design and structural properties of the capsules. This review (1) describes the current issues in designing cancer cell-targeting polymeric multilayer capsules, (2) analyzes the effects of the interactions of the capsules with the cellular and molecular constituents of biological fluids, and (3) presents the key structural parameters determining the effectiveness of capsules targeting. The influence of the morphological and physicochemical parameters and the origin of structural components and surface ligands on the functional activity of polymeric multilayer capsules at the molecular, cellular, and whole-body levels are summarized. The basic structural and functional principles determining the future trends of theranostic capsule development are established and discussed.
Fichier principal
Vignette du fichier
Nifontova_et_al_RSC Biomaterials Science.pdf (2.18 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03719445 , version 1 (11-07-2022)

Identifiers

  • HAL Id : hal-03719445 , version 1

Cite

Galina Nifontova, Tatiana Tsoi, Alexander Karaulov, Igor Nabiev, Alyona Sukhanova. Structure-Function Relationships in Polymeric Multilayer Capsules Designed for Cancer Drug Delivery. 2022. ⟨hal-03719445⟩

Collections

CNRS URCA LRN
30 View
70 Download

Share

Gmail Facebook Twitter LinkedIn More