Fraser C, Ferguson N M, de Wolf F, Anderson R M
Department of Infectious Disease Epidemiology, Imperial College of Science, Technology and Medicine, St Mary's Campus, Norfolk Place, Paddington, London W2 1PG, UK.
Proc Biol Sci. 2001 Oct 22;268(1481):2085-95. doi: 10.1098/rspb.2001.1777.
This paper develops a predictive mathematical model of cell infection, host immune response and viral replication that reproduces observed long-term trends in human immunodeficiency virus (HIV) pathogenesis. Cell activation induced by repeated exposure to many different antigens is proposed as the principal mechanism of providing target cells for HIV infection and, hence, of CD4+ T cell depletion, with regulation of the overall T cell pool size causing concomitant CD8 pool increases. The model correctly predicts the cross-patient variability in disease progression, the rate of which is found to depend on the efficacy of anti-HIV cytotoxic T lymphocyte responses, overall viral pathogenicity and random effects. The model also predicts a variety of responses to anti-viral therapy, including episodic residual viral replication and discordant responses and we find that such effects can be suppressed by increasing the potency of treatment.
本文建立了一个细胞感染、宿主免疫反应和病毒复制的预测数学模型,该模型再现了人类免疫缺陷病毒(HIV)发病机制中观察到的长期趋势。反复接触多种不同抗原所诱导的细胞活化被认为是为HIV感染提供靶细胞的主要机制,因此也是CD4+T细胞耗竭的主要机制,而对总T细胞库大小的调节会导致CD8库相应增加。该模型正确地预测了疾病进展的患者间变异性,发现其速率取决于抗HIV细胞毒性T淋巴细胞反应的效力、总体病毒致病性和随机效应。该模型还预测了对抗病毒治疗的多种反应,包括间歇性残留病毒复制和不一致反应,并且我们发现通过提高治疗效力可以抑制此类效应。