The dynamics of infections and immune responses

Overview I am interested in developing a quantitative understanding of the dynamics of pathogens and immune responses. The work of my group involves the use of mathematical models and computer simulations. We like nothing better than to validate models by confronting them with experimental data — we try to make testable predictions, and in collaboration with experimentalists conduct the relevant experiments. We work in close collaboration with experimental immunologists, in particular the group of Dr. Rafi Ahmed at Emory. Our three main areas of investigation are: 1. The dynamics of infections and immune responses How do immune systems work? What determines whether an infection is short lived or chronic, and whether it generates lasting immunity? The answers to questions could help us design better vaccines, particularly towards persistent infections such as malaria and HIV. 2. Linking immunology and epidemiology Immunology and epidemiology are traditionally very different fields, yet they are intimately related. We have developed a theoretical framework to connect the within-host dynamics of a pathogen with its transmission characteristics. We have used this framework to understand why pathogens harm their hosts, and under what conditions we expect a pathogens virulence to change. 3. The emergence, spread and evolution of infectious diseases How do pathogens emerge and spread through host populations? By addressing these general questions we can gain insight into the factors that have led to the emergence of HIV, SARS, and new strains of the influenza virus. This will allow us to predict what factors will be important in the emergence of infectious diseases in the future. My choice of one key publication in each of these three areas:host population-dynamics and the evolution and maintenance of microparasite virulence. Within-host population dynamics and the evolution of microparasites in a heterogeneous host population.

[1]  Rustom Antia,et al.  Estimation of the rate of killing by cytotoxic T lymphocytes in vivo , 2007, Proceedings of the National Academy of Sciences.

[2]  Carl T. Bergstrom,et al.  On RNA interference as template immunity , 2005, Journal of Biosciences.

[3]  R. Antia,et al.  How do pathogen evolution and host heterogeneity interact in disease emergence? , 2006, Proceedings of the Royal Society B: Biological Sciences.

[4]  Andreas Handel,et al.  The Role of Compensatory Mutations in the Emergence of Drug Resistance , 2006, PLoS Comput. Biol..

[5]  Rustom Antia,et al.  IMPERFECT VACCINES AND THE EVOLUTION OF PATHOGENS CAUSING ACUTE INFECTIONS IN VERTEBRATES , 2006, Evolution; international journal of organic evolution.

[6]  Sergei S. Pilyugin,et al.  How Does Cross-Reactive Stimulation Affect the Longevity of CD8+ T Cell Memory? , 2006, PLoS Comput. Biol..

[7]  Carl T. Bergstrom,et al.  How do adaptive immune systems control pathogens while avoiding autoimmunity? , 2006, Trends in ecology & evolution.

[8]  Rustom Antia,et al.  Quantifying cell turnover using CFSE data. , 2005, Journal of immunological methods.

[9]  Rustom Antia,et al.  The role of models in understanding CD8+ T-cell memory , 2005, Nature Reviews Immunology.

[10]  J. Koella,et al.  Theoretical immunology: Parasitic turncoat , 2004, Nature.

[11]  Rustom Antia,et al.  Roles of Target Cells and Virus-Specific Cellular Immunity in Primary Simian Immunodeficiency Virus Infection , 2004, Journal of Virology.

[12]  Rustom Antia,et al.  The role of evolution in the emergence of infectious diseases , 2003, Nature.

[13]  R. Ahmed,et al.  The rescaling method for quantifying the turnover of cell populations. , 2003, Journal of theoretical biology.

[14]  Rustom Antia,et al.  Mathematical models of RNA silencing: Unidirectional amplification limits accidental self-directed reactions , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[15]  V. V. Ganusov,et al.  Trade-offs and the evolution of virulence of microparasites: do details matter? , 2003, Theoretical population biology.

[16]  Carl T. Bergstrom,et al.  Models of CD8+ responses: 1. What is the antigen-independent proliferation program. , 2003, Journal of theoretical biology.

[17]  J. Koella,et al.  Epidemiological models for the spread of anti-malarial resistance , 2003, Malaria Journal.

[18]  Rustom Antia,et al.  Estimating the Precursor Frequency of Naive Antigen-specific CD8 T Cells , 2002, The Journal of experimental medicine.

[19]  Rustom Antia,et al.  WITHIN‐HOST POPULATION DYNAMICS AND THE EVOLUTION OF MICROPARASITES IN A HETEROGENEOUS HOST POPULATION , 2002, Evolution; international journal of organic evolution.

[20]  Alan S. Perelson,et al.  Recruitment Times, Proliferation, and Apoptosis Rates during the CD8+ T-Cell Response to Lymphocytic Choriomeningitis Virus , 2001, Journal of Virology.

[21]  B. Levin,et al.  Why We Don't Get Sick: The Within-Host Population Dynamics of Bacterial Infections , 2001, Science.

[22]  Sergei S. Pilyugin,et al.  Modeling immune responses with handling time , 2000, Bulletin of mathematical biology.

[23]  R. Ahmed,et al.  Models of immune memory: on the role of cross-reactive stimulation, competition, and homeostasis in maintaining immune memory. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[24]  J. Mittler,et al.  Modeling T-cell proliferation: an investigation of the consequences of the Hayflick limit. , 1997, Journal of theoretical biology.

[25]  M. Halloran,et al.  Recent developments in theories of pathogenesis of AIDS. , 1996, Trends in microbiology.

[26]  J. Koella,et al.  Models of the within-host dynamics of persistent mycobacterial infections , 1996, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[27]  Rustom Antia,et al.  Within-Host Population Dynamics and the Evolution and Maintenance of Microparasite Virulence , 1994, The American Naturalist.

[28]  R Antia,et al.  A model of non-specific immunity. , 1994, Journal of theoretical biology.