Stimuli-Responsive, Cell-Mediated Drug Delivery Systems: Engineering Smart Cellular Vehicles for Precision Therapeutics

Samson Sitheni Mashele · MDPI AG · 2025

This review explores smart, stimuli-responsive drug delivery systems using cell-mediated carriers for precise therapeutic applications.

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Plain English summary

The article reviews stimuli-responsive drug delivery systems that utilize biological cells like erythrocytes and immune cells to deliver therapies precisely. These systems can release their drug payloads in response to various internal and external triggers, such as pH changes or light exposure. The review also discusses how these systems can be designed and functionalized for specific therapeutic uses, particularly in cancer treatment and regenerative medicine.

Why this matters

This research is significant because it highlights innovative approaches to drug delivery that can enhance treatment precision and effectiveness. By using smart materials that respond to specific stimuli, healthcare can potentially improve patient outcomes in critical areas like oncology and regenerative medicine.

Key findings

  • Stimuli-responsive carriers can release drugs in response to biological and external triggers.
  • The review analyzes design principles for these smart delivery systems.
  • Cell-mediated carriers leverage the targeting properties of various biological cells.
  • Key therapeutic applications include oncology and regenerative medicine.
  • The review addresses translational progress and regulatory challenges.

What's new

The review provides a comprehensive analysis of the integration of biological functionality with engineered control in drug delivery systems.

Limitations

The abstract does not provide specific experimental results or data supporting the claims made.

Commercial context

The abstract does not mention any commercial applications or readiness.

Publication

Publisher
MDPI AG
Publication date
August 21, 2025
Research type
Article
License
https://creativecommons.org/licenses/by/4.0/

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18