Dynamic Correlation between Intrahost HIV-1 Quasispecies Evolution and Disease Progression

被引:62
作者
Lee, Ha Youn [1 ]
Perelson, Alan S. [2 ]
Park, Su-Chan [3 ]
Leitner, Thomas [2 ]
机构
[1] Univ Rochester, Med Ctr, Dept Biostat & Computat Biol, New York, NY USA
[2] Los Alamos Natl Lab, Los Alamos, NM USA
[3] Univ Cologne, Inst Theoret Phys, D-5000 Cologne, Germany
基金
美国国家卫生研究院;
关键词
D O I
10.1371/journal.pcbi.1000240
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Quantifying the dynamics of intrahost HIV-1 sequence evolution is one means of uncovering information about the interaction between HIV-1 and the host immune system. In the chronic phase of infection, common dynamics of sequence divergence and diversity have been reported. We developed an HIV-1 sequence evolution model that simulated the effects of mutation and fitness of sequence variants. The amount of evolution was described by the distance from the founder strain, and fitness was described by the number of offspring a parent sequence produces. Analysis of the model suggested that the previously observed saturation of divergence and decrease of diversity in later stages of infection can be explained by a decrease in the proportion of offspring that are mutants as the distance from the founder strain increases rather than due to an increase of viral fitness. The prediction of the model was examined by performing phylogenetic analysis to estimate the change in the rate of evolution during infection. In agreement with our modeling, in 13 out of 15 patients (followed for 3-12 years) we found that the rate of intrahost HIV-1 evolution was not constant but rather slowed down at a rate correlated with the rate of CD4+ T-cell decline. The correlation between the dynamics of the evolutionary rate and the rate of CD4+ T-cell decline, coupled with our HIV-1 sequence evolution model, explains previously conflicting observations of the relationships between the rate of HIV-1 quasispecies evolution and disease progression.
引用
收藏
页数:14
相关论文
共 62 条
[1]   Comprehensive epitope analysis of human immunodeficiency virus type 1 (HIV-1)-specific T-cell responses directed against the entire expressed HIV-1 genome demonstrate broadly directed responses, but no correlation to viral load [J].
Addo, MM ;
Yu, XG ;
Rathod, A ;
Cohen, D ;
Eldridge, RL ;
Strick, D ;
Johnston, MN ;
Corcoran, C ;
Wurcel, AG ;
Fitzpatrick, CA ;
Feeney, ME ;
Rodriguez, WR ;
Basgoz, N ;
Draenert, R ;
Stone, DR ;
Brander, C ;
Goulder, PJR ;
Rosenberg, ES ;
Altfeld, M ;
Walker, BD .
JOURNAL OF VIROLOGY, 2003, 77 (03) :2081-2092
[2]  
Anisimova M, 2003, GENETICS, V164, P1229
[3]  
[Anonymous], 1992, NUMERICAL RECIPES C
[4]  
BHATTACHARYA T, 2005, PARALLELIZED E UNPUB
[5]   The HIV coreceptors CXCR4 and CCR5 are differentially expressed and regulated on human T lymphocytes [J].
Bleul, CC ;
Wu, LJ ;
Hoxie, JA ;
Springer, TA ;
Mackay, CR .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1997, 94 (05) :1925-1930
[6]   CAUSES OF HIV DIVERSITY [J].
BONHOEFFER, S ;
HOLMES, EC ;
NOWAK, MA .
NATURE, 1995, 376 (6536) :125-125
[7]   Antiviral pressure exerted by HIV-1-specific cytotoxic T lymphocytes (CTLs) during primary infection demonstrated by rapid selection of CTL escape virus [J].
Borrow, P ;
Lewicki, H ;
Wei, XP ;
Horwitz, MS ;
Peffer, N ;
Meyers, H ;
Nelson, JA ;
Gairin, JE ;
Hahn, BH ;
Oldstone, MBA ;
Shaw, GM .
NATURE MEDICINE, 1997, 3 (02) :205-211
[8]   Neutralization escape in human immunodeficiency virus type 1-infected long-term nonprogressors [J].
Bradney, AP ;
Scheer, S ;
Crawford, JM ;
Buchbinder, SP ;
Montefiori, DC .
JOURNAL OF INFECTIOUS DISEASES, 1999, 179 (05) :1264-1267
[9]  
BRURNHAM KP, 2002, MODEL SELECTION MULT
[10]   Recombination estimation under complex evolutionary models with the coalescent composite-likelihood method [J].
Carvajal-Rodríguez, A ;
Crandall, KA ;
Posada, D .
MOLECULAR BIOLOGY AND EVOLUTION, 2006, 23 (04) :817-827