Dataset Information

Wodarz2007 - HIV/CD4 T-cell interaction

ABSTRACT: Wodarz2007 - HIV/CD4 T-cell interaction A deterministic model illustrating how CD4 T-cells can influence HIV infection. This model is described in the article: Infection dynamics in HIV-specific CD4 T cells: does a CD4 T cell boost benefit the host or the virus? Wodarz D, Hamer DH. Math Biosci 2007 Sep; 209(1): 14-29 Abstract: Recent experimental data have shown that HIV-specific CD4 T cells provide a very important target for HIV replication. We use mathematical models to explore the effect of specific CD4 T cell infection on the dynamics of virus spread and immune responses. Infected CD4 T cells can provide antigen for their own stimulation. We show that such autocatalytic cell division can significantly enhance virus spread, and can also provide an additional reservoir for virus persistence during anti-viral drug therapy. In addition, the initial number of HIV-specific CD4 T cells is an important determinant of acute infection dynamics. A high initial number of HIV-specific CD4 T cells can lead to a sudden and fast drop of the population of HIV-specific CD4 T cells which results quickly in their extinction. On the other hand, a low initial number of HIV-specific CD4 T cells can lead to a prolonged persistence of HIV-specific CD4 T cell help at higher levels. The model suggests that boosting the population of HIV-specific CD4 T cells can increase the amount of virus-induced immune impairment, lead to less efficient anti-viral effector responses, and thus speed up disease progression, especially if effector responses such as CTL have not been sufficiently boosted at the same time. This model is hosted on BioModels Database and identified by: BIOMD0000000663. To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

SUBMITTER: Vijayalakshmi Chelliah

PROVIDER: BIOMD0000000663 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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			Action	DRS
	BIOMD0000000663?filename=BIOMD0000000663-biopax2.owl	Owl
	BIOMD0000000663?filename=BIOMD0000000663-biopax3.owl	Owl
	BIOMD0000000663?filename=BIOMD0000000663.m	Other
	BIOMD0000000663?filename=BIOMD0000000663.pdf	Pdf
	BIOMD0000000663?filename=BIOMD0000000663.png	Other

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Publications

Infection dynamics in HIV-specific CD4 T cells: does a CD4 T cell boost benefit the host or the virus?

Wodarz Dominik D Hamer Dean H DH

Mathematical biosciences 20070208 1

Recent experimental data have shown that HIV-specific CD4 T cells provide a very important target for HIV replication. We use mathematical models to explore the effect of specific CD4 T cell infection on the dynamics of virus spread and immune responses. Infected CD4 T cells can provide antigen for their own stimulation. We show that such autocatalytic cell division can significantly enhance virus spread, and can also provide an additional reservoir for virus persistence during anti-viral drug t ...[more]

PMID: 17379260

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Project description:Targeted HIV cure strategies require definition of the mechanisms that maintain the virus. Here, we tracked HIV replication and the persistence of infected CD4 T cells in individuals with natural virologic control by sequencing viruses, T cell receptor genes, HIV integration sites and cellular transcriptomes. Our results revealed three mechanisms of HIV persistence operating within distinct anatomic and functional compartments. In lymph node, we detected viruses with genetic and transcriptional attributes of active replication in both T follicular helper (TFH) cells and non-TFH memory cells. In blood, we detected inducible proviruses of archival origin among highly differentiated, clonally expanded cells. Linking the lymph node and blood was a small population of circulating cells harboring inducible proviruses of recent origin. Thus, HIV replication in lymphoid tissue, clonal expansion of infected cells, and recirculation of recently infected cells act together to maintain the virus in HIV controllers despite effective antiviral immunity. Fluorescence-activated cell sorting (FACS) was used to sort subsets of CD4 T cells from blood (peripheral blood mononuclear cells; PBMC) and lymph node from a cohort of HIV-infected people with natural control of the virus (termed HIV controllers). Subsets of CD4 T cells that were sorted are as follows: from blood, (1) naÃ¯ve (N), (2) central memory (CM), (3) transitional memory (TM), and (4) effector memory (EM); from lymph node, (1) naÃ¯ve (N), (2) non-germinal center T-follicular helpers (nGC), (3) germinal center T-follicular helpers (Tfh), (4) effector memory (EM), and (5) other central memory-like subsets (CMPD1lo57lo, CMPD1lo57hi, and/or CMPD1lo). Total RNA and total DNA were extracted from these sorted subsets in separate fractions using RNAzol RT and DNAzol. Total cellular DNA was used for HIV quantification and sequence analysis as describe in the publication. Total RNA used for mRNA library construction by oligo-dT purification (Dynabeads), random fragmentation by heating in the presence of Magnesium (in form of 5x first-strand buffer, LifeTech), reverse transcription (SuperScript III), and then second-strand synthesis, end repair, a-tailing, and adaptor ligation using NEBNext enzyme master mixes and oligonucleotides. Libraries were sequenced on an Illumina HiSeq2000. Please note that each 'source name' value represent individual who havs HIV infection with natural control of the virus.

Project description:This a model from the article: Specific therapy regimes could lead to long-term immunological control of HIV. Wodarz D, Nowak MA. Proc Natl Acad Sci U S A 1999 Dec 7;96(25):14464-9 10588728 , Abstract: We use mathematical models to study the relationship between HIV and the immune system during the natural course of infection and in the context of different antiviral treatment regimes. The models suggest that an efficient cytotoxic T lymphocyte (CTL) memory response is required to control the virus. We define CTL memory as long-term persistence of CTL precursors in the absence of antigen. Infection and depletion of CD4(+) T helper cells interfere with CTL memory generation, resulting in persistent viral replication and disease progression. We find that antiviral drug therapy during primary infection can enable the development of CTL memory. In chronically infected patients, specific treatment schedules, either including deliberate drug holidays or antigenic boosts of the immune system, can lead to a re-establishment of CTL memory. Whether such treatment regimes would lead to long-term immunologic control deserves investigation under carefully controlled conditions. This model was taken from the CellML repository and automatically converted to SBML. The original model was: Wodarz D, Nowak MA. (1999) - version=1.0 The original CellML model was created by: Catherine Lloyd c.lloyd@auckland.ac.nz The University of Auckland This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.