Ribeiro Ruy M
Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Immunol Cell Biol. 2007 Jun;85(4):287-94. doi: 10.1038/sj.icb.7100056. Epub 2007 Mar 27.
Mathematical modeling is becoming established in the immunologist's toolbox as a method to gain insight into the dynamics of the immune response and its components. No more so than in the case of the study of human immunodeficiency virus (HIV) infection, where earlier work on the viral dynamics brought significant advances in our understanding of HIV replication and evolution. Here, I review different areas of the study of the dynamics of CD4+ T cells in the setting of HIV, where modeling played important and diverse roles in helping us understand CD4+ T-cell homeostasis and the effect of HIV infection. As the experimental techniques become more accurate and quantitative, modeling should play a more important part in both experimental design and data analysis.
数学建模作为一种深入了解免疫反应及其组成部分动态变化的方法,正在免疫学家的工具箱中确立其地位。在人类免疫缺陷病毒(HIV)感染的研究中更是如此,早期关于病毒动力学的研究在我们对HIV复制和进化的理解上取得了重大进展。在此,我回顾了HIV感染情况下CD4+T细胞动力学研究的不同领域,其中建模在帮助我们理解CD4+T细胞稳态以及HIV感染的影响方面发挥了重要且多样的作用。随着实验技术变得更加精确和定量,建模在实验设计和数据分析中都应发挥更重要的作用。