Seyed Negar, Taheri Tahereh, Rafati Sima
Department of Immunotherapy and Leishmania Vaccine Research, Pasteur Institute of Iran Tehran, Iran.
Front Microbiol. 2016 Apr 6;7:467. doi: 10.3389/fmicb.2016.00467. eCollection 2016.
Leishmaniasis is a parasitic disease that primarily affects Asia, Africa, South America, and the Mediterranean basin. Despite extensive efforts to develop an effective prophylactic vaccine, no promising vaccine is available yet. However, recent advancements in computational vaccinology on the one hand and genome sequencing approaches on the other have generated new hopes in vaccine development. Computational genome mining for new vaccine candidates is known as reverse vaccinology and is believed to further extend the current list of Leishmania vaccine candidates. Reverse vaccinology can also reduce the intrinsic risks associated with live attenuated vaccines. Individual epitopes arranged in tandem as polytopes are also a possible outcome of reverse genome mining. Here, we will briefly compare reverse vaccinology with conventional vaccinology in respect to Leishmania vaccine, and we will discuss how it influences the aforementioned topics. We will also introduce new in vivo models that will bridge the gap between human and laboratory animal models in future studies.
利什曼病是一种主要影响亚洲、非洲、南美洲和地中海盆地的寄生虫病。尽管人们为开发一种有效的预防性疫苗付出了巨大努力,但目前仍没有有前景的疫苗可用。然而,一方面计算疫苗学的最新进展,另一方面基因组测序方法的进步,为疫苗开发带来了新的希望。通过计算基因组挖掘新的疫苗候选物被称为反向疫苗学,人们认为它将进一步扩充目前利什曼原虫疫苗候选物的名单。反向疫苗学还可以降低与减毒活疫苗相关的内在风险。串联排列成多聚体的单个表位也是反向基因组挖掘的一个可能结果。在这里,我们将简要比较利什曼原虫疫苗方面的反向疫苗学与传统疫苗学,并讨论它如何影响上述主题。我们还将介绍新的体内模型,这些模型将在未来的研究中弥合人类和实验动物模型之间的差距。