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pH-Responsive Self-Assembling Peptide-Based Biomaterials: Designs and Applications.

Zhao Li1, Yumeng Zhu1, John B Matson1

  • 1Department of Chemistry, Virginia Tech Center for Drug Discovery, and Macromolecules Innovation Institute, Virginia Tech, Blacksburg, Virginia 24061, United States.

ACS Applied Bio Materials
|May 3, 2022
PubMed
Summary
This summary is machine-generated.

pH-responsive peptide biomaterials offer tunable platforms for targeted drug delivery and tissue engineering. These self-assembling nanomaterials leverage environmental pH changes for controlled release and matrix mimicry.

Keywords:
cancer therapycell-adhesive peptidescell-penetrating peptidespH-responsivetissue regenerationtumor-targetingwound-healing

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Area of Science:

  • Biomaterials Science
  • Nanotechnology
  • Biochemistry

Background:

  • Stimuli-responsive peptide-based biomaterials are gaining traction for targeted therapies.
  • Endogenous pH changes in abnormal microenvironments make pH a particularly useful stimulus.
  • Peptides incorporating pH-responsive elements self-assemble into nanostructures.

Purpose of the Study:

  • To review design motifs and mechanisms of pH-responsiveness in self-assembling peptide biomaterials.
  • To highlight recent advances in drug delivery and tissue engineering applications.
  • To identify future challenges and development areas.

Main Methods:

  • Review of existing literature on pH-responsive peptide biomaterials.
  • Analysis of design strategies for pH-responsiveness.
  • Focus on self-assembly into nanostructures.
  • Examination of applications in drug delivery and tissue engineering.

Main Results:

  • pH-responsive peptides self-assemble into various nanostructures.
  • These biomaterials are biocompatible and tunable.
  • They show promise for controlled drug release.
  • They can mimic the extracellular matrix for tissue engineering.

Conclusions:

  • pH-responsive self-assembling peptide biomaterials are versatile for drug delivery and tissue engineering.
  • Further development is needed to address future challenges.
  • These platforms offer significant potential for advanced biomedical applications.