Title |
New challenges in modern vaccinology
|
---|---|
Published in |
BMC Immunology, March 2015
|
DOI | 10.1186/s12865-015-0075-2 |
Pubmed ID | |
Authors |
Mireille Centlivre, Béhazine Combadière |
Abstract |
Vaccination has been a major advance for health care, allowing eradication or reduction of incidence and mortality of various infectious diseases. However, there are major pathogens, such as Human Immunodeficiency Virus (HIV) or the causative agent of malaria, for which classical vaccination approaches have failed, therefore requiring new vaccination strategies. The development of new vaccine strategies relies on the ability to identify the challenges posed by these pathogens. Understanding the pathogenesis and correlates of protection for these diseases, our ability to accurately direct immune responses and to vaccinate specific populations are such examples of these roadblocks. In this respect, the use of a robust, cost-effective and predictive animal model that recapitulates features of both human infection and vaccination is currently a much-needed tool. We discuss here the major limitations faced by modern vaccinology and notably, the development of humanized mice for assessing the immune system, along with their potential as vaccine models. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Scientists | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 1% |
India | 1 | 1% |
Portugal | 1 | 1% |
Switzerland | 1 | 1% |
Unknown | 79 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 18 | 22% |
Researcher | 13 | 16% |
Student > Bachelor | 10 | 12% |
Student > Postgraduate | 8 | 10% |
Other | 7 | 8% |
Other | 12 | 14% |
Unknown | 15 | 18% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 17 | 20% |
Agricultural and Biological Sciences | 12 | 14% |
Immunology and Microbiology | 10 | 12% |
Biochemistry, Genetics and Molecular Biology | 7 | 8% |
Engineering | 4 | 5% |
Other | 13 | 16% |
Unknown | 20 | 24% |