Academic literature on the topic 'Immunoloigcal and Virological Dynamics'
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Journal articles on the topic "Immunoloigcal and Virological Dynamics"
Hunter, James R., Domingos E. Matos dos Santos, Patricia Munerato, Luiz Mario Janini, Adauto Castelo, Maria Cecilia Sucupira, Hong-Ha M. Truong, and Ricardo Sobhie Diaz. "Fitness Cost of Antiretroviral Drug Resistance Mutations on the pol Gene during Analytical Antiretroviral Treatment Interruption among Individuals Experiencing Virological Failure." Pathogens 10, no. 11 (November 3, 2021): 1425. http://dx.doi.org/10.3390/pathogens10111425.
Full textNouni, Ayoub, Khalid Hattaf, and Noura Yousfi. "Dynamics of a Virological Model for Cancer Therapy with Innate Immune Response." Complexity 2020 (September 27, 2020): 1–9. http://dx.doi.org/10.1155/2020/8694821.
Full textMihm, Ulrike, Henry Lik-Yuen Chan, Stefan Zeuzem, Angel Mei-Ling Chim, Alex Yui Hui, Vincent Wai-Sun Wong, Joseph Jao-Yiu Sung, and Eva Herrmann. "Virodynamic Predictors of Response to Pegylated Interferon and Lamivudine Combination Treatment of Hepatitis B e Antigen-Positive Chronic Hepatitis B." Antiviral Therapy 13, no. 8 (November 2008): 1029–37. http://dx.doi.org/10.1177/135965350801300812.
Full textVerotta, Davide, and Franziska Schaedeli. "Non-linear dynamics models characterizing long-term virological data from AIDS clinical trials." Mathematical Biosciences 176, no. 2 (April 2002): 163–83. http://dx.doi.org/10.1016/s0025-5564(02)00090-1.
Full textYaari, R., G. Katriel, L. Stone, E. Mendelson, M. Mandelboim, and A. Huppert. "Model-based reconstruction of an epidemic using multiple datasets: understanding influenza A/H1N1 pandemic dynamics in Israel." Journal of The Royal Society Interface 13, no. 116 (March 2016): 20160099. http://dx.doi.org/10.1098/rsif.2016.0099.
Full textLuciani, F., R. Bull, K. Mcelroy, S. Pham, B. Cameron, A. Chopra, S. Gaudieri, D. Cooper, A. Lloyd, and P. White. "38 EVOLUTIONARY DYNAMICS OF HEPATITIS C VIRUS DURING VERY EARLY INFECTIONS: VIROLOGICAL AND IMMUNOLOGICAL INSIGHTS." Journal of Hepatology 54 (March 2011): S18. http://dx.doi.org/10.1016/s0168-8278(11)60040-8.
Full textVorobiova, N. N., and E. S. Ivanova. "PROSPECTS OF THE USE OF PHOSPHAZIDE IN THE SCHEDULES OF ANTIRETROVIRAL THERAPY FOR HIV INFECTION." Epidemiology and Infectious Diseases 18, no. 4 (August 15, 2013): 58–61. http://dx.doi.org/10.17816/eid40772.
Full textPallier, Coralie, Laurent Castéra, Alexandre Soulier, Christophe Hézode, Patrice Nordmann, Daniel Dhumeaux, and Jean-Michel Pawlotsky. "Dynamics of Hepatitis B Virus Resistance to Lamivudine." Journal of Virology 80, no. 2 (January 15, 2006): 643–53. http://dx.doi.org/10.1128/jvi.80.2.643-653.2006.
Full textWalter, R., J. Dürkop, B. Friedman, and H. J. Dobberkau. "Interactions Between Biotic and Abiotic Factors and Viruses in a Water System." Water Science and Technology 17, no. 10 (October 1, 1985): 139–51. http://dx.doi.org/10.2166/wst.1985.0104.
Full textCharpentier, Charlotte, Mohammad Ali Jenabian, Christophe Piketty, Marina Karmochkine, Pascaline Tisserand, Didier Laureillard, Laurent Bélec, Ali Si-Mohamed, and Laurence Weiss. "Dynamics of enfuvirtide resistance mutations in enfuvirtide-experienced patients remaining in virological failure under salvage therapy." Scandinavian Journal of Infectious Diseases 43, no. 5 (February 22, 2011): 373–79. http://dx.doi.org/10.3109/00365548.2011.552520.
Full textDissertations / Theses on the topic "Immunoloigcal and Virological Dynamics"
Al, Mazari Ali. "Computational methods for the analysis of HIV drug resistance dynamics." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/1907.
Full textAl, Mazari Ali. "Computational methods for the analysis of HIV drug resistance dynamics." Connect to full text, 2007. http://hdl.handle.net/2123/1907.
Full textABSTRACT Despite the extensive quantitative and qualitative knowledge about therapeutic regimens and the molecular biology of HIV/AIDS, the eradication of HIV infection cannot be achieved with available antiretroviral regimens. HIV drug resistance remains the most challenging factor in the application of approved antiretroviral agents. Previous investigations and existing HIV/AIDS models and algorithms have not enabled the development of long-lasting and preventive drug agents. Therefore, the analysis of the dynamics of drug resistance and the development of sophisticated HIV/AIDS analytical algorithms and models are critical for the development of new, potent antiviral agents, and for the greater understanding of the evolutionary behaviours of HIV. This study presents novel computational methods for the analysis of drug-resistance dynamics, including: viral sequences, phenotypic resistance, immunological and virological responses and key clinical data, from HIV-infected patients at Royal Prince Alfred Hospital in Sydney. The lability of immunological and virological responses is analysed in the context of the evolution of antiretroviral drug-resistance mutations. A novel Bayesian algorithm is developed for the detection and classification of neutral and adaptive mutational patterns associated with HIV drug resistance. To simplify and provide insights into the multifactorial interactions between viral populations, immune-system cells, drug resistance and treatment parameters, a Bayesian graphical model of drug-resistance dynamics is developed; the model supports the exploration of the interdependent associations among these dynamics.
Millet, Antoine. "Caractérisation quantitative et génétique de la dynamique sanguine et tissulaire du virus de l'immunodéficience simienne chez le macaque cynomolgus en histoire naturelle The extensive widespread of SIV distribution in macaques suggests that secondary lymphoid tissues are the main drivers of viral dynamics Optimal maturation of the SIV‐specific CD8+ T cell response after primary infection is associated with natural SIV control. ANRS SIC study Modeling acute SIV infection suggests that early establishment of cytotoxic response drives the virological control, and unravels heterogeneous infected cells populations." Thesis, Sorbonne Paris Cité, 2018. https://wo.app.u-paris.fr/cgi-bin/WebObjects/TheseWeb.woa/wa/show?t=2119&f=17058.
Full textSimian Immunodeficiency Virus (SIV) infection persists in the body with infected cells containing the integrated viral genome. These cells called "reservoirs" constitute the major barrier to viral eradication and are focus of interest of new therapeutic challenges. The simian model enables the exploration of tissue reservoirs and viral evolution throughout the whole body. In a first part, the aim of our work was to characterize the dynamics of SIV in the blood and tissues in the absence of treatment. In the P-Visconti program, six macaques were infected by SIVmac251 and were followed 6 months before euthanasia. We developed ultrasensitive assays for the SIV DNA quantification (cell infection level) and cell-associated SIV RNA (caSIV RNA), expressing the transcriptional ability of infected cells. In addition, we developed a high throughput sequencing method and bioinformatics tools for in-depth analysis of more than 60 million reads, describing the evolution and number of viral variants in blood and tissues. We showed that the kinetics of the number of infected blood cells and their transcriptional level reflected the kinetics of plasma viremia. Moreover, the evolution of genetic diversity (number of variants and genetic distance) mimicked the evolution of the two markers. The variants constituting the inoculum tended to disappear as soon as day (D)28 in the plasma but persisted longer in the blood cells. The proportion of major variants evolved over time and, despite identical inoculum, a great heterogeneity of infection levels and genetic diversity could be observed among the monkeys. At 6 months post infection, many tissues were collected at euthanasia. We showed a disseminated and replicative infection over 26 anatomical sites, including skin and adipose tissues. Secondary lymphoid organs exhibited the highest levels of infection and transcriptional activity, which were associated with the most divergent viral quasi-species profiles from the inoculum, highlighting the major role of lymph nodes in the viral evolution. Infection level of many tissues was correlated with that observed in blood at the peak of replication. The different lymphoid tissues and several non-lymphoid tissues shared some major variants, indicating high exchanges of virions and/or infected cells between tissues (Manuscript 1). In a second part, we examined a model of SIVmac infected macaques, and 12 out of 16 animals exhibited spontaneous viral control (Simian "controllers": SIC). No difference of viral level was observed in blood at the peak (D15) between SIC and non-controller macaques. In contrast, SIC had a significantly lower level of infection in the lymph nodes since D15. Moreover, after 18 months, SIV DNA loads appeared lower in all SIC tissues. In addition, immunological studies (C. Pereira et al., I. Pasteur) showed that suppressive activity of SIV-specific CD8+ T cells has been developed over time and was related to lower viral reservoir levels (Manuscript 2). Mathematical modeling combining these immuno-virological data (V. Madelain et al., Univ Paris 7) showed a biphasic decay of SIV DNA after the peak of viremia in SIC, that could be related to 2 cell populations (one with short half-life and the other with a long half-life). These results indicate which cells have to been targeted in the context of remission and/or cure studies (Manuscript 3). All of these data demonstrate the key role of lymphoid tissues in the infection dynamics and in viral variants diffusion and diversification. The strong viral spread highlights the need to use molecules that penetrate throughout the whole body
Singh, Michelle. "Pharmaco-immunological-virological dynamics in intrapartum HIV-1 transmission (PIVD study)." Thesis, 2009. http://hdl.handle.net/10413/686.
Full textThesis (Ph.D.)-University of KwaZulu-Natal, Durban, 2009.
Book chapters on the topic "Immunoloigcal and Virological Dynamics"
Rao, V. Sree Hari, and M. Naresh Kumar. "Predictive Dynamics: Modeling for Virological Surveillance and Clinical Management of Dengue." In Dynamic Models of Infectious Diseases, 1–41. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3961-5_1.
Full textConference papers on the topic "Immunoloigcal and Virological Dynamics"
Killer, Alexander, Hans Bock, Tom Lüdde, Mahyar Ghavami, Jörg Timm, Nadine Lübke, and Andreas Walker. "Reality Check: Bulevirtide for HBV/HDV coinfection, dynamics of virological parameters and liver-stiffness." In 38. Jahrestagung der Deutsche Arbeitsgemeinschaft zum Studium der Leber. Georg Thieme Verlag, 2022. http://dx.doi.org/10.1055/s-0041-1740801.
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