Advances in the mathematical modeling of posttreatment control of HIV-1 DOI
Bharadwaj Vemparala, Jérémie Guedj, Narendra M. Dixit

et al.

Current Opinion in HIV and AIDS, Journal Year: 2024, Volume and Issue: 20(1), P. 92 - 98

Published: Nov. 7, 2024

Purpose of review Several new intervention strategies have shown significant improvements over antiretroviral therapy (ART) in eliciting lasting posttreatment control (PTC) HIV-1. Advances mathematical modelling offered mechanistic insights into PTC and the workings these interventions. We advances. Recent findings Broadly neutralizing antibody (bNAb)–based therapies large increases ART frequency duration elicited. Early viral dynamics models with been advanced to elucidate underlying mechanisms, including role CD8 + T cells. These characterize as an alternative set-point, low load, predict routes achieving it. Large-scale omic datasets host factors associated PTC. Correspondingly, classes models, those using learning techniques, helped exploit deduce causal links associations. Models also that either target proviral reservoir, modulate immune responses, or both, assessing their translatability. Summary modeling better PTC, elucidated quantified mechanisms which interventions elicit it, informed translational efforts.

Language: Английский

Antiviral capacity of the early CD8 T-cell response is predictive of natural control of SIV infection: Learning in vivo dynamics using ex vivo data DOI Creative Commons
Bharadwaj Vemparala, Vincent Madelain, Caroline Passaes

et al.

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(9), P. e1012434 - e1012434

Published: Sept. 10, 2024

While most individuals suffer progressive disease following HIV infection, a small fraction spontaneously controls the infection. Although CD8 T-cells have been implicated in this natural control, their mechanistic roles are yet to be established. Here, we combined mathematical modeling and analysis of previously published data from 16 SIV-infected macaques, which 12 were controllers, elucidate role control. For each macaque, considered, addition canonical vivo plasma viral load SIV DNA data, longitudinal ex measurements virus suppressive capacity T-cells. Available models do not allow such vivo-ex datasets. We explicitly modeled assay, derived analytical approximations that link with effector function CD8-T cells, integrated them an model dynamics, thus developing new learning framework enabled analysis. Our fit well estimated recruitment rate and/or maximal killing up 2-fold higher controllers than non-controllers (p = 0.013). Importantly, cumulative over first 4-6 weeks infection was associated control (Spearman's ρ -0.51; p 0.05). Thus, our identified early as predictor Furthermore, simulating large virtual population, quantified minimum T-cell response necessary for long-term study presents new, quantitative insights into has implications remission strategies.

Language: Английский

Citations

4
Dynamical analysis of HIV/AIDS and HBV co-infection model with drug-related kidney disease using optimal control theory DOI
Yohannes Fissha Abebaw, Shewafera Wondimagegnhu Teklu

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 8, 2025

Language: Английский

Citations

0
Trade-off between the antiviral and vaccinal effects of antibody therapy in the humoral response to HIV DOI

Soumya Mittal,

Amar K. Garg,

Rajat Desikan

et al.

Journal of The Royal Society Interface, Journal Year: 2024, Volume and Issue: 21(221)

Published: Dec. 1, 2024

Antibody therapy for HIV-1 infection exerts two broad effects: a drug-like, antiviral effect, which rapidly lowers the viral load, and vaccinal may control load long-term by improving immune response. Here, we elucidate trade-off between these effects as they pertain to humoral response, compromise antibody aimed at eliciting remission. We developed multi-scale computational model that combined within-host dynamics stochastic simulations of germinal centre (GC) reaction, enabling simultaneous quantification therapy. The predicted increasing dosage or antibody–antigen affinity increased complex formation enhanced GC output. Beyond point, however, strong effect reduced antigen levels substantially, extinguishing GCs limiting found signatures this in clinical studies. Accounting could be important optimizing

Language: Английский

Citations

1
Advances in the mathematical modeling of posttreatment control of HIV-1 DOI
Bharadwaj Vemparala, Jérémie Guedj, Narendra M. Dixit

et al.

Current Opinion in HIV and AIDS, Journal Year: 2024, Volume and Issue: 20(1), P. 92 - 98

Published: Nov. 7, 2024

Purpose of review Several new intervention strategies have shown significant improvements over antiretroviral therapy (ART) in eliciting lasting posttreatment control (PTC) HIV-1. Advances mathematical modelling offered mechanistic insights into PTC and the workings these interventions. We advances. Recent findings Broadly neutralizing antibody (bNAb)–based therapies large increases ART frequency duration elicited. Early viral dynamics models with been advanced to elucidate underlying mechanisms, including role CD8 + T cells. These characterize as an alternative set-point, low load, predict routes achieving it. Large-scale omic datasets host factors associated PTC. Correspondingly, classes models, those using learning techniques, helped exploit deduce causal links associations. Models also that either target proviral reservoir, modulate immune responses, or both, assessing their translatability. Summary modeling better PTC, elucidated quantified mechanisms which interventions elicit it, informed translational efforts.

Language: Английский

Citations

0