HLA-restricted immune response to mycobacterial antigens: relevance to vaccine design

2000 ◽  
Vol 61 (2) ◽  
pp. 166-171 ◽  
Author(s):  
Abu Salim Mustafa
Immunology ◽  
2021 ◽  
Author(s):  
Farides Saavedra ◽  
Fabián E. Díaz ◽  
Angello Retamal‐Díaz ◽  
Camila Covián ◽  
Pablo A. González ◽  
...  

2020 ◽  
pp. 107051
Author(s):  
Soheila Molaei ◽  
Masoomeh Dadkhah ◽  
Vahid Asghariazar ◽  
Chiman Karami ◽  
Elham Safarzadeh

2003 ◽  
Vol 71 (6) ◽  
pp. 3146-3154 ◽  
Author(s):  
Avi-Hai Hovav ◽  
Jacob Mullerad ◽  
Liuba Davidovitch ◽  
Yolanta Fishman ◽  
Fabiana Bigi ◽  
...  

ABSTRACT Th1 immune response is essential in the protection against mycobacterial intracellular pathogens. Lipoproteins trigger both humoral and cellular immune responses and may be candidate protective antigens. We studied in BALB/c mice the immunogenicity and the protection offered by the recombinant 27-kDa Mycobacterium tuberculosis lipoprotein and the corresponding DNA vaccine. Immunization with the 27-kDa antigen resulted in high titers of immunoglobulin G1 (IgG1) and IgG2a with a typical Th1 profile and a strong delayed hypersensitivity response. A strong proliferation response was observed in splenocytes, and significant nitric oxide production and gamma interferon secretion but not interleukin 10 secretion were measured. Based on these criteria, the 27-kDa antigen induced a typical Th1-type immune response thought to be necessary for protection. Surprisingly, in 27-kDa-vaccinated mice (protein or DNA vaccines) challenged by M. tuberculosis H37Rv or BCG strains, there was a significant increase in the numbers of CFU in the spleen compared to that for control groups. Furthermore, the protection provided by BCG or other mycobacterial antigens was completely abolished once the 27-kDa antigen was added to the vaccine preparations. This study indicates that the 27-kDa antigen has an adverse effect on the protection afforded by recognized vaccines. We are currently studying how the 27-kDa antigen modulates the mouse immune response.


2006 ◽  
Vol 29 (1) ◽  
pp. 143-148 ◽  
Author(s):  
G. Senol ◽  
O. F. Erer ◽  
Y. A. Yalcin ◽  
M. Coskun ◽  
A. T. Gunduz ◽  
...  

The Lancet ◽  
1994 ◽  
Vol 344 (8936) ◽  
pp. 1540-1541 ◽  
Author(s):  
O.A. Bottasso ◽  
J. Morini ◽  
J.F. Pividori ◽  
N. Ingledew ◽  
M. Keni ◽  
...  

2021 ◽  
Vol 4 ◽  
Author(s):  
Alexander Horst ◽  
Erand Smakaj ◽  
Eriberto Noel Natali ◽  
Deniz Tosoni ◽  
Lmar Marie Babrak ◽  
...  

Dengue infection is a global threat. As of today, there is no universal dengue fever treatment or vaccines unreservedly recommended by the World Health Organization. The investigation of the specific immune response to dengue virus would support antibody discovery as therapeutics for passive immunization and vaccine design. High-throughput sequencing enables the identification of the multitude of antibodies elicited in response to dengue infection at the sequence level. Artificial intelligence can mine the complex data generated and has the potential to uncover patterns in entire antibody repertoires and detect signatures distinctive of single virus-binding antibodies. However, these machine learning have not been harnessed to determine the immune response to dengue virus. In order to enable the application of machine learning, we have benchmarked existing methods for encoding biological and chemical knowledge as inputs and have investigated novel encoding techniques. We have applied different machine learning methods such as neural networks, random forests, and support vector machines and have investigated the parameter space to determine best performing algorithms for the detection and prediction of antibody patterns at the repertoire and antibody sequence levels in dengue-infected individuals. Our results show that immune response signatures to dengue are detectable both at the antibody repertoire and at the antibody sequence levels. By combining machine learning with phylogenies and network analysis, we generated novel sequences that present dengue-binding specific signatures. These results might aid further antibody discovery and support vaccine design.


2010 ◽  
Vol 2010 ◽  
pp. 1-16 ◽  
Author(s):  
Michael Jan ◽  
Shu Meng ◽  
Natalie C. Chen ◽  
Jietang Mai ◽  
Hong Wang ◽  
...  

Atherosclerosis is the leading pathological contributor to cardiovascular morbidity and mortality worldwide. As its complex pathogenesis has been gradually unwoven, the regime of treatments and therapies has increased with still much ground to cover. Active research in the past decade has attempted to develop antiatherosclerosis vaccines with some positive results. Nevertheless, it remains to develop a vaccine against atherosclerosis with high affinity, specificity, efficiency, and minimal undesirable pathology. In this review, we explore vaccine development against atherosclerosis by interpolating a number of novel findings in the fields of vascular biology, immunology, and bioinformatics. With recent technological breakthroughs, vaccine development affords precision in specifying the nature of the desired immune response—useful when addressing a disease as complex as atherosclerosis with a manifold of inflammatory and autoimmune components. Moreover, our exploration of available bioinformatic tools for epitope-based vaccine design provides a method to avoid expenditure of excess time or resources.


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