Studies on the protective efficacy and immunogenicity of Hsp70 and Hsp83 based vaccine formulations in Leishmania donovani infected BALB/c mice.

来自 PUBMED

作者:

Kaur JKaur TKaur S

展开

摘要:

Visceral leishmaniasis, a chronic systemic infection, is the major cause of morbidity and mortality in many parts of world. The current drugs for the treatment of leishmaniasis are toxic, expensive, difficult to administer and becoming ineffective due to the emergence of drug resistance. In the absence of effective treatment, vaccination remains the only hope for control of the disease. We have evaluated the protective efficacy of two heat shock proteins (Hsp70 and Hsp83) in combination with two different adjuvants (MPLA and ALD) in Leishmania donovani infected inbred BALB/c mice. The proteins were isolated by SDS-PAGE and the mice were immunized subcutaneously with Hsp70+Hsp83, Hsp70+Hsp83+ALD and Hsp70+Hsp83+MPLA. These were challenged with 10(7) promastigotes of L. donovani. The animals were sacrificed on 30, 60 and 90 days post challenge for the assessment of parasite load and generation of cellular and humoral immune responses. The vaccines induced a strong protective response against experimental visceral leishmaniasis as shown by reduced parasite load in liver of all immunized groups as compared to the infected controls. The vaccines also led to the augmentation of DTH responses, increased levels of IgG2a, IFN-γ and IL-2. Both the adjuvants raised significantly the level of protection imparted by the proteins but MPLA was more effective in comparison to ALD.

收起

展开

DOI:

10.1016/j.actatropica.2011.04.007

被引量:

15

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(304)

参考文献(0)

引证文献(15)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读