Abstract

Nanolipoprotein particles (NLPs) self-assemble into nanoscale structures that can be used as vaccines or drug delivery agents. Due to the nature of the NLPs, a variety of immune stimulating compounds or adjuvants can be readily incorporated into NLPs: a characteristic difficult to engineer into most other nanoscale platforms. In light of this, a method for quantifying the amount adjuvant actually incorporated into NLPs is a question of high importance. Through the use of reverse phase High-Performance Liquid Chromatography (HPLC) and an Evaporative Light Scattering Detector (ELSD), standard curves can be constructed by analyzing mixtures of NLP components of known concentration, which can then be used to quantify samples of NLPs and determine the amount of adjuvant incorporated. After constructing NLPs containing different combinations of the adjuvants monophosphoryl lipid A (MPLA) and muramyl dipeptide (MDP), they were tested in vitro to determine the intensity of immune response using enzyme-linked immunosorbent assays (ELISAs). ELISA results indicate that when both adjuvants are incorporated into a single NLP, the amount of cytokine production is significantly increased, compared to adjuvants individually incorporated into the NLPs as well as non-NLP formulations of the combined adjuvants. Therefore, the NLPs represent an attractive platform for delivering and enhancing adjuvant combinations for immunological therapeutics.

Disciplines

Biochemistry, Biophysics, and Structural Biology | Biotechnology | Cell and Developmental Biology | Chemicals and Drugs | Chemistry | Diseases | Immunology and Infectious Disease | Pharmacy and Pharmaceutical Sciences

Mentor

Nicholas O Fischer

Lab site

Lawrence Livermore National Laboratory (LLNL)

Funding Acknowledgement

This material is based upon work supported by the S.D. Bechtel, Jr. Foundation and by the National Science Foundation under Grant No. 0952013. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the S.D. Bechtel, Jr. Foundation or the National Science Foundation. This project has also been made possible with support of the National Marine Sanctuary Foundation. The STAR program is administered by the Cal Poly Center for Excellence in Science and Mathematics Education (CESaME) on behalf of the California State University (CSU)., This material is based upon work supported by the S.D. Bechtel, Jr. Foundation and by the National Science Foundation under Grant No. 0952013 and Grant No. 0833353. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the S.D. Bechtel, Jr. Foundation or the National Science Foundation. This project has also been made possible with support of the National Marine Sanctuary Foundation. The STAR program is administered by the Cal Poly Center for Excellence in Science and Mathematics Education (CESaME) on behalf of the California State University (CSU)., This material is based upon work supported by the S.D. Bechtel, Jr. Foundation and by the National Science Foundation under Grant No. 0952013 and Grant No. 0934931. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the S.D. Bechtel, Jr. Foundation or the National Science Foundation. This project has also been made possible with support of the National Marine Sanctuary Foundation. The STAR program is administered by the Cal Poly Center for Excellence in Science and Mathematics Education (CESaME) on behalf of the California State University (CSU).

 

URL: http://digitalcommons.calpoly.edu/star/126

 

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