Development of Glycyrrhizinic Acid-Based Lipid Nanoparticle (LNP-GA) as An Adjuvant That Improves the Immune Response to Porcine Epidemic Diarrhea Virus Spike Recombinant Protein.
José Bryan García-CambrónJosé Luis Cerriteño-SánchezRocío Lara-RomeroDavid Quintanar-GuerreroGerardo Blancas-FloresBrenda L Sánchez-GaytánIrma Herrera-CamachoJulieta Sandra Cuevas-RomeroPublished in: Viruses (2024)
Porcine epidemic diarrhea virus (PEDV) has affected the pork industry worldwide and during outbreaks the mortality of piglets has reached 100%. Lipid nanocarriers are commonly used in the development of immunostimulatory particles due to their biocompatibility and slow-release delivery properties. In this study, we developed a lipid nanoparticle (LNP) complex based on glycyrrhizinic acid (GA) and tested its efficacy as an adjuvant in mice immunized with the recombinant N-terminal domain (NTD) of porcine epidemic diarrhea virus (PEDV) spike (S) protein (rNTD-S). The dispersion stability analysis (Z-potential -27.6 mV) confirmed the size and charge stability of the LNP-GA, demonstrating that the particles were homogeneously dispersed and strongly anionic, which favors nanoparticles binding with the rNTD-S protein, which showed a slightly positive charge (2.11 mV) by in silico analysis. TEM image of LNP-GA revealed nanostructures with a spherical-bilayer lipid vesicle (~100 nm). The immunogenicity of the LNP-GA-rNTD-S complex induced an efficient humoral response 14 days after the first immunization ( p < 0.05) as well as an influence on the cellular immune response by decreasing serum TNF-α and IL-1β concentrations, which was associated with an anti-inflammatory effect.
Keyphrases
- pet ct
- immune response
- fatty acid
- early stage
- protein protein
- binding protein
- irritable bowel syndrome
- clostridium difficile
- deep learning
- drug delivery
- adipose tissue
- diabetic rats
- risk factors
- machine learning
- type diabetes
- high fat diet induced
- single cell
- oxidative stress
- small molecule
- coronary artery disease
- risk assessment
- inflammatory response
- skeletal muscle
- drug release