Characterization of Spore Proteins Using a Nanoscaffold Vaccine Platform.

Subunit vaccines are theoretically safe and easy to manufacture but require effective adjuvants and delivery systems to yield protective immunity, particularly at critical mucosal sites such as the lung. We investigated nanolipoprotein particles (NLPs) containing the Toll-like receptor 4 agonist monophosphoryl lipid A (MPLA) as a platform for intranasal vaccination against . Modified lipids enabled attachment of disparate spore and toxin protein antigens.

Enhancement of antigen-specific CD4 and CD8 T cell responses using a self-assembled biologic nanolipoprotein particle vaccine.

To address the need for vaccine platforms that induce robust cell-mediated immunity, we investigated the potential of utilizing self-assembling biologic nanolipoprotein particles (NLPs) as an antigen and adjuvant delivery system to induce antigen-specific murine T cell responses. We utilized OT-I and OT-II TCR-transgenic mice to investigate the effects of NLP-mediated delivery of the model antigen ovalbumin (OVA) on T cell activation. Delivery of OVA with the TLR4 agonist monophosphoryl lipid A (MPLA) in the context of NLPs significantly enhanced the activation of both CD4 and CD8 T cells in vitro compared to co-administration of free OVA and MPLA.

The use of nanolipoprotein particles to enhance the immunostimulatory properties of innate immune agonists against lethal influenza challenge.

Recent studies have demonstrated that therapies targeting the innate immune system have the potential to provide transient, non-specific protection from a variety of infectious organisms; however, the potential of enhancing the efficacy of such treatments using nano-scale delivery platforms requires more in depth evaluation. As such, we employed a nanolipoprotein (NLP) platform to enhance the efficacy of innate immune agonists. Here, we demonstrate that the synthetic Toll-like receptor (TLR) agonists monophosphoryl lipid A (MPLA) and CpG oligodeoxynucleotides (CpG) can be readily incorporated into NLPs.