Protein-Based Nanocarriers and Nanotherapeutics for Infection and Inflammation

Nupur Nagar1, Goutami Naidu1, Amit Mishra1

  • 1Department of Biosciences and Bioengineering (N.N., G.N., K.M.P.) and Centre for Nanotechnology (K.M.P.), Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India; and Cellular and Molecular Neurobiology Unit, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India (A.M.).

Insights

Protein nanoplatforms offer advanced drug delivery for infectious and inflammatory diseases. This review highlights their potential, focusing on human and pathogenic proteins for treating conditions like cancer and viral infections.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Drug Delivery

Background:

  • Infectious and inflammatory diseases are leading global causes of death, exacerbated by pandemics like COVID-19.
  • Proteins are crucial as drugs, drug targets, and biomarkers.
  • Nanotechnology enhances drug delivery through sustained release and nano-dimension advantages.

Purpose of the Study:

  • To review protein-based nanoplatforms for infectious and inflammatory diseases.
  • To emphasize proteins of human and pathogenic origin in nanomedicine.
  • To discuss advantages, ADME parameters, and clinical translation challenges.

Main Methods:

  • Comprehensive literature review of protein-based nanocarriers and nanotherapeutics.
  • Focus on applications in cancer and viral diseases.
  • Analysis of proteins from diverse organisms, particularly human and pathogenic sources.

Main Results:

  • Protein nanoplatforms combine protein advantages with nanoformulation benefits.
  • Proteins function as carriers, therapeutics, diagnostics, and theranostics in nanoform.
  • Extensive exploration of protein-based nanoplatforms for major infectious and inflammatory diseases.

Conclusions:

  • Protein-based nanomedicines show significant promise for treating infections and inflammation.
  • Understanding pharmacological advantages and ADME parameters is key.
  • Addressing current bottlenecks is crucial for successful clinical translation.