Literature DB >> 17141504

Vaccine strategies against latent tuberculosis infection.

Peter Andersen1.   

Abstract

The leading tuberculosis (TB) vaccines currently in clinical trials are all designed as prophylactic vaccines. Although these vaccines are highly active, they will most probably not result in sterilizing immunity and, therefore, will not solve the global problem of latent TB. An attractive strategy is to target the remaining dormant bacteria with vaccines based upon antigens induced as the bacteria change from active multiplication to non-replicating dormancy (latency antigens) or during reactivation as dormant bacteria resume active metabolism (resuscitation antigens). These late-stage antigens might have potential as post-exposure vaccines or could form the basis for a multi-stage vaccine strategy, in which they are combined with prophylactic vaccines based on early antigens from replicating bacteria.

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Year:  2006        PMID: 17141504     DOI: 10.1016/j.tim.2006.11.008

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN: 0966-842X            Impact factor:   17.079


  28 in total

1.  Higher human CD4 T cell response to novel Mycobacterium tuberculosis latency associated antigens Rv2660 and Rv2659 in latent infection compared with tuberculosis disease.

Authors:  Lerisa Govender; Brian Abel; E Jane Hughes; Thomas J Scriba; Benjamin M N Kagina; Marwou de Kock; Gerhard Walzl; Gillian Black; Ida Rosenkrands; Gregory D Hussey; Hassan Mahomed; Peter Andersen; Willem A Hanekom
Journal:  Vaccine       Date:  2010-10-23       Impact factor: 3.641

2.  A multistage mycobacterium tuberculosis subunit vaccine LT70 including latency antigen Rv2626c induces long-term protection against tuberculosis.

Authors:  Xun Liu; Jinxiu Peng; Lina Hu; Yanping Luo; Hongxia Niu; Chunxiang Bai; Qian Wang; Fei Li; Hongjuan Yu; Bingxiang Wang; Huiyu Chen; Ming Guo; Bingdong Zhu
Journal:  Hum Vaccin Immunother       Date:  2016-02-22       Impact factor: 3.452

3.  HspX vaccination and role in virulence in the guinea pig model of tuberculosis.

Authors:  Agatha E Wieczorek; Jolynn L Troudt; Phillip Knabenbauer; Jennifer Taylor; Rebecca L Pavlicek; Russell Karls; Anne Hess; Rebecca M Davidson; Michael Strong; Helle Bielefeldt-Ohmann; Angelo A Izzo; Karen M Dobos
Journal:  Pathog Dis       Date:  2014-02-24       Impact factor: 3.166

4.  In vitro culture medium influences the vaccine efficacy of Mycobacterium bovis BCG.

Authors:  Manjunatha M Venkataswamy; Michael F Goldberg; Andres Baena; John Chan; William R Jacobs; Steven A Porcelli
Journal:  Vaccine       Date:  2011-12-18       Impact factor: 3.641

Review 5.  Latent tuberculosis infection: myths, models, and molecular mechanisms.

Authors:  Noton K Dutta; Petros C Karakousis
Journal:  Microbiol Mol Biol Rev       Date:  2014-09       Impact factor: 11.056

6.  The multistage vaccine H56 boosts the effects of BCG to protect cynomolgus macaques against active tuberculosis and reactivation of latent Mycobacterium tuberculosis infection.

Authors:  Philana Ling Lin; Jes Dietrich; Esterlina Tan; Rodolfo M Abalos; Jasmin Burgos; Carolyn Bigbee; Matthew Bigbee; Leslie Milk; Hannah P Gideon; Mark Rodgers; Catherine Cochran; Kristi M Guinn; David R Sherman; Edwin Klein; Christopher Janssen; JoAnne L Flynn; Peter Andersen
Journal:  J Clin Invest       Date:  2011-12-01       Impact factor: 14.808

Review 7.  Perspectives on clinical and preclinical testing of new tuberculosis vaccines.

Authors:  Arthur M Dannenberg
Journal:  Clin Microbiol Rev       Date:  2010-10       Impact factor: 26.132

8.  A novel vaccine p846 encoding Rv3615c, Mtb10.4, and Rv2660c elicits robust immune response and alleviates lung injury induced by Mycobacterium infection.

Authors:  Hongmei Kong; Chunsheng Dong; Sidong Xiong
Journal:  Hum Vaccin Immunother       Date:  2013-11-26       Impact factor: 3.452

Review 9.  Novel vaccination strategies against tuberculosis.

Authors:  Peter Andersen; Stefan H E Kaufmann
Journal:  Cold Spring Harb Perspect Med       Date:  2014-06-02       Impact factor: 6.915

10.  Evaluation of signal peptide prediction algorithms for identification of mycobacterial signal peptides using sequence data from proteomic methods.

Authors:  Nils Anders Leversen; Gustavo A de Souza; Hiwa Målen; Swati Prasad; Inge Jonassen; Harald G Wiker
Journal:  Microbiology (Reading)       Date:  2009-04-23       Impact factor: 2.777

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