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Design, synthesis and characterisation of mannosylated ovalbumin lipid core peptide self-adjuvanting vaccine delivery system

Overview of attention for article published in Drug Delivery and Translational Research, September 2013
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Title
Design, synthesis and characterisation of mannosylated ovalbumin lipid core peptide self-adjuvanting vaccine delivery system
Published in
Drug Delivery and Translational Research, September 2013
DOI 10.1007/s13346-013-0173-8
Pubmed ID
Authors

Pavla Simerska, Zyta Maria Ziora, Vincent Fagan, Daryn Goodwin, Farrah Edrous, Istvan Toth

Abstract

Peptide-based vaccine delivery can be hampered by rapid peptidase activity and poor inherent immunogenicity. The self-adjuvanting lipid core peptide system (LCP) has been shown to confer improved stability and immunogenicity on peptide epitopes of group A Streptococcus, Chlamydia, hookworm, and malaria pathogens. However, various diseases, including cancer, still require targeted delivery of their vaccine candidates. For this reason, we have selected two model peptides (ovalbumin CD4(+) and/or CD8(+) T cell epitopes), and incorporated two or four copies of either epitope into our LCP vaccine. Optimised glycosylation of ovalbumin peptides yielded 46 % when microwave-assisted double coupling with 2 eq of carbohydrate derivative, activated by N,N-diisopropylethylamine and (O-benzotriazol-1-yl)-N,N,N',N'-tetramethyluronium hexafluorophosphate, was performed. All ovalbumin peptides were successfully synthesised and purified in 11-55 % yields by Fmoc- or Boc-chemistry using solid-phase peptide synthesis. The mannosylated ovalbumin peptides were nontoxic to human erythrocytes in haemolytic assay (<2 % haemolysis) and showed increased (up to 20-fold) stability in plasma.

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Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 28%
Student > Ph. D. Student 4 16%
Student > Bachelor 3 12%
Professor 2 8%
Student > Postgraduate 2 8%
Other 5 20%
Unknown 2 8%
Readers by discipline Count As %
Chemistry 7 28%
Medicine and Dentistry 4 16%
Agricultural and Biological Sciences 3 12%
Chemical Engineering 1 4%
Nursing and Health Professions 1 4%
Other 6 24%
Unknown 3 12%