Modelling and control of HIV dynamics

被引：35

作者：

Landi, Alberto ^{[1
]}

Mazzoldi, Alberto ^{[2
]}

Andreoni, Chiara ^{[1
]}

Bianchi, Matteo ^{[1
]}

Cauallini, Andrea ^{[1
]}

Laurino, Marco ^{[1
]}

Ricotti, Leonardo ^{[1
]}

Luliano, Rodolfio ^{[3
]}

Matteoli, Barbara ^{[3
]}

Ceccherini-Nelli, Luca ^{[3
]}

机构：

[1] Univ Pisa, Dept Elect Syst & Automat, Pisa, Italy

[2] Univ Pisa, Interdept Res Ctr E Piaggio, Pisa, Italy

[3] Univ Pisa, Virol Sect, Dept Expt Pathol, Pisa, Italy

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2008年 / 89卷 / 02期

关键词：

physiological models; HIV; biomedical system; differential equations; numerical simulations;

D O I：

10.1016/j.cmpb.2007.08.003

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Various models of HIV infection and evolution have been considered in the literature. This paper considers a variant of the Wodarz and Nowak mathematical model, adding "aggressiveness" as a new state variable in order to quantify the strength of the virus and its response to drugs. Although the model proposed is relatively simple, simulation results suggest that it may be useful in predicting the impact of the effectiveness of therapy on HIV dynamics. (c) 2007 Elsevier Ireland Ltd. All rights reserved.

引用

页码：162 / 168

页数：7

共 25 条

[1]

Abbas A.K., 2005, CELLULAR MOL IMMUNOL

[2] HIV dynamics: Modeling, data analysis, and optimal treatment protocols [J].

Adams, BM ;

Banks, HT ;

Davidian, M ;

Kwon, HD ;

Tran, HT ;

Wynne, SN ;

Rosenberg, ES .

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2005, 184 (01) :10-49

[3] Fully Differentiated HIV-1 Specific CD8+T Effector Cells Are More Frequently Detectable in Controlled than in Progressive HIV-1 Infection [J].

Addo, Marylyn M. ;

Draenert, Rika ;

Rathod, Almas ;

Verrill, Cori L. ;

Davis, Benjamin T. ;

Gandhi, Rajesh T. ;

Robbins, Gregory K. ;

Basgoz, Nesli O. ;

Stone, David R. ;

Cohen, Daniel E. ;

Johnston, Mary N. ;

Flynn, Theresa ;

Wurcel, Alysse G. ;

Rosenberg, Eric S. ;

Altfeld, Marcus ;

Walker, Bruce D. .

PLOS ONE, 2007, 2 (03)

[4] Feedback control of a biodynamical model of HIV-1 [J].

Brandt, ME ;

Chen, GR .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2001, 48 (07) :754-759

[5] Can HIV/AIDS be controlled [J].

Craig, IK ;

Xia, X .

IEEE CONTROL SYSTEMS MAGAZINE, 2005, 25 (01) :80-83

[6] Modeling the long-term control of viremia in HIV-1 infected patients treated with antiretroviral therapy [J].

Di Mascio, M ;

Ribeiro, RM ;

Markowitz, M ;

Ho, DD ;

Perelson, AS .

MATHEMATICAL BIOSCIENCES, 2004, 188 :47-62

[7] Latent infection of CD4+ T cells provides a mechanism for lifelong persistence of HIV-1, even in patients on effective combination therapy [J].

Finzi, D ;

Blankson, J ;

Siliciano, JD ;

Margolick, JB ;

Chadwick, K ;

Pierson, T ;

Smith, K ;

Lisziewicz, J ;

Lori, F ;

Flexner, C ;

Quinn, TC ;

Chaisson, RE ;

Rosenberg, E ;

Walker, B ;

Gange, S ;

Gallant, J ;

Siliciano, RF .

NATURE MEDICINE, 1999, 5 (05) :512-517

[8] HIV-1 specific CD8+T cells with an effector phenotype and control of viral replication [J].

Hess, C ;

Altfeld, M ;

Thomas, SY ;

Addo, MM ;

Rosenberg, ES ;

Allen, TM ;

Draenert, R ;

Eldrige, RL ;

van Lunzen, J ;

Stellbrink, HJ ;

Walker, BD ;

Luster, AD .

LANCET, 2004, 363 (9412) :863-866

[9] Correlation between plasma HIV-1 RNA levels and the rate of immunologic decline [J].

Iuliano, R ;

Forastieri, G ;

Brizzi, M ;

Mecocci, L ;

Mazzotta, F ;

CeccheriniNelli, L .

JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMES AND HUMAN RETROVIROLOGY, 1997, 14 (05) :408-414

[10] Estimating the viral load response time after HIV chemotherapy [J].

Jeffrey, AM ;

Xia, X .

2002 IEEE AFRICON, VOLS 1 AND 2: ELECTROTECHNOLOGICAL SERVICES FOR AFRICA, 2002, :77-80

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