Romanyukha Alexei A, Rudnev Sergey G, Sidorov Igor A
Institute of Numerical Mathematics, Russian Academy of Sciences, Gubkin Str. 8, 119991 Moscow, Russian Federation.
J Theor Biol. 2006 Jul 7;241(1):1-13. doi: 10.1016/j.jtbi.2005.11.004. Epub 2005 Dec 27.
A mathematical model of long-term immune defense against infection was used to estimate the energy involved in the principal processes of immune resistance during periods of health and infection. From these values, an optimal level of energy was determined for immune response depending on infection burden. The present findings suggest that weak but prevalent pathogens lead to latent or chronic infection, whereas more virulent but less prevalent pathogens result in acute infection. This energy-based approach offers insight into the mechanisms of immune system adaptation leading to the development of chronic infectious diseases and immune deficiencies.
一个针对感染的长期免疫防御数学模型被用于估算健康期和感染期免疫抵抗主要过程中涉及的能量。根据这些数值，确定了取决于感染负担的免疫反应最佳能量水平。目前的研究结果表明，致病性弱但普遍存在的病原体导致潜伏性或慢性感染，而致病性更强但不太普遍的病原体则导致急性感染。这种基于能量的方法为免疫系统适应机制提供了见解，这些机制导致了慢性传染病和免疫缺陷的发展。
