2016
DOI: 10.1021/acsbiomaterials.6b00422
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Modular Peptide Amphiphile Micelles Improving an Antibody-Mediated Immune Response to Group A Streptococcus

Abstract: Inducing a strong and specific immune response is the hallmark of a successful vaccine. Nanoparticles have emerged as promising vaccine delivery devices to discover and elicit immune responses. Fine-tuning a nanoparticle vaccine to create an immune response with specific antibody and other cellular responses is influenced by many factors such as shape, size, and composition. Peptide amphiphile micelles are a unique biomaterials platform that can function as a modular vaccine delivery system, enabling control o… Show more

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Cited by 37 publications
(51 citation statements)
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“…However, given the ability to synthesize a broad range of sequence‐specific polypeptides and to append them to different molecules via post‐translation modifications, these examples represent only a small subset of all possible peptide‐based micelle structures. Peptide‐based micelles have been used for several immunomodulatory applications, including the delivery of i) PR8 virus antigen for mucosal immunity, ii) docetaxel and siRNA to knockdown an anti‐apoptotic gene for synergistic tumor therapy, iii) antigenic OVA, poly(I:C), and siRNA to knockdown STAT3 (an immunosuppressor), iv) influenza antigens and CpG ODNs to establish durable humoral immunity, v) Group A streptococcus B cell antigen (J8) to also induce humoral immunity, and vi) a photosensitizer and 1MT (an IDO inhibitor) to enable PDT for eradicating tumor lung metastases . Overall, peptide‐based micelles are a promising vehicle for delivering various immunomodulatory agents; however, a better understanding of their optimal size and loading parameters must be gained to fully benefit from their exquisite tunability.…”
Section: Nanoscale Materials For Immunotherapymentioning
confidence: 99%
“…However, given the ability to synthesize a broad range of sequence‐specific polypeptides and to append them to different molecules via post‐translation modifications, these examples represent only a small subset of all possible peptide‐based micelle structures. Peptide‐based micelles have been used for several immunomodulatory applications, including the delivery of i) PR8 virus antigen for mucosal immunity, ii) docetaxel and siRNA to knockdown an anti‐apoptotic gene for synergistic tumor therapy, iii) antigenic OVA, poly(I:C), and siRNA to knockdown STAT3 (an immunosuppressor), iv) influenza antigens and CpG ODNs to establish durable humoral immunity, v) Group A streptococcus B cell antigen (J8) to also induce humoral immunity, and vi) a photosensitizer and 1MT (an IDO inhibitor) to enable PDT for eradicating tumor lung metastases . Overall, peptide‐based micelles are a promising vehicle for delivering various immunomodulatory agents; however, a better understanding of their optimal size and loading parameters must be gained to fully benefit from their exquisite tunability.…”
Section: Nanoscale Materials For Immunotherapymentioning
confidence: 99%
“…As nanoparticles have been shown to have promising self-adjuvanting properties (12,13), amphiphiles that self-assemble into them are often used in peptide vaccine delivery (14)(15)(16). For example, hydrophobic dendritic poly(tert-butyl acrylate) has previously been conjugated to a variety of peptide epitopes, including GAS-derived peptides, and the conjugates have been self-assembled to form particles (17).…”
Section: Introductionmentioning
confidence: 99%
“…PAMs are also advantageous because they are biocompatible and have been shown to have a broad range of applications 32,33 . The water solubility of micelles offers an advantage over other nanoparticle-based systems such as certain polymeric nanoparticles that are not soluble in water and have to be suspended in solubilizers for injections 34 . Additionally, the ability to create PAMs that disassemble in response to a specific stimuli makes PAMs an attractive candidate for controlled intracellular drug delivery 35 .…”
Section: Introductionmentioning
confidence: 99%