| Title |
A self-adjuvanting vaccine induces cytotoxic T lymphocytes that suppress allergy
|
|---|---|
| Published in |
Nature Chemical Biology, October 2014
|
| DOI | 10.1038/nchembio.1640 |
| Pubmed ID | |
| Authors | |
| Abstract |
Epitope-based peptide vaccines encompass minimal immunogenic regions of protein antigens to allow stimulation of precisely targeted adaptive immune responses. However, because efficacy is largely determined by the functional status of antigen-presenting cells (APCs) that acquire and present peptides to cells of the adaptive immune system, adjuvant compounds are needed to enhance immunogenicity. We present here a vaccine consisting of an allergen-derived peptide conjugated to a prodrug of the natural killer-like T (NKT) cell agonist α-galactosylceramide, which is highly effective in reducing inflammation in a mouse model of allergic airway inflammation. Unlike other peptide-adjuvant conjugates that directly activate APCs through pattern recognition pathways, this vaccine encourages third-party interactions with NKT cells to enhance APC function. Therapeutic efficacy was correlated with marked increases in the number and functional activity of allergen-specific cytotoxic T lymphocytes (CTLs), leading to suppression of immune infiltration into the lungs after allergen challenge in sensitized hosts. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 19% |
| Spain | 2 | 13% |
| Indonesia | 1 | 6% |
| Austria | 1 | 6% |
| Russia | 1 | 6% |
| New Zealand | 1 | 6% |
| Romania | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 44% |
| Scientists | 5 | 31% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Switzerland | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 91 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 19% |
| Student > Ph. D. Student | 17 | 18% |
| Student > Bachelor | 11 | 12% |
| Student > Master | 9 | 10% |
| Professor | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 23 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 20 | 21% |
| Agricultural and Biological Sciences | 16 | 17% |
| Biochemistry, Genetics and Molecular Biology | 9 | 10% |
| Immunology and Microbiology | 9 | 10% |
| Medicine and Dentistry | 6 | 6% |
| Other | 9 | 10% |
| Unknown | 25 | 27% |