Targeted delivery of hyaluronic acid-coated solid lipid nanoparticles for rheumatoid arthritis therapy

Drug Deliv. 2018 Nov;25(1):716-722. doi: 10.1080/10717544.2018.1447050.

Abstract

Rheumatoid arthritis (RA) is a chronic, systemic inflammatory disease. Long-term, high-dose glucocorticoid therapy can be used to treat the disease, but the fact that the drug distributes systemically can give rise to severe adverse effects. Here we develop a targeted system for treating RA in which the glucocorticoid prednisolone (PD) is encapsulated within solid lipid nanoparticles (SLNs) coated with hyaluronic acid (HA), giving rise to HA-SLNs/PD. HA binds to hyaluronic receptor CD44, which is over-expressed on the surface of synovial lymphocytes, macrophages and fibroblasts in inflamed joints in RA. As predicted, HA-SLNs/PD particles accumulated in affected joint tissue after intravenous injection into mice with collagen-induced arthritis (CIA), and HA-SLNs/PD persisted longer in circulation and preserved bone and cartilage better than free drug or drug encapsulated in SLNs without HA. HA-SLNs/PD reduced joint swelling, bone erosion and levels of inflammatory cytokines in serum. These results suggest that encapsulating glucocorticoids such as PD in HA-coated SLNs may render them safe and effective for treating inflammatory disorders.

Keywords: Rheumatoid arthritis; drug delivery; hyaluronic acid; prednisolone; solid lipid nanoparticles.

MeSH terms

  • Animals
  • Arthritis, Experimental / drug therapy*
  • Arthritis, Experimental / metabolism
  • Arthritis, Rheumatoid / drug therapy*
  • Arthritis, Rheumatoid / metabolism
  • Drug Delivery Systems / methods*
  • Hyaluronic Acid / administration & dosage*
  • Hyaluronic Acid / metabolism
  • Male
  • Mice
  • Mice, Inbred DBA
  • Nanoparticles / administration & dosage*
  • Nanoparticles / metabolism
  • RAW 264.7 Cells
  • Tissue Distribution / drug effects
  • Tissue Distribution / physiology

Substances

  • Hyaluronic Acid

Grants and funding

This work was supported by the Fund of Sichuan Province Science and Technology Agency Innovation Talent Project [2017RZ0048, 2017].