1
|
Makuku R, Seyedmirzaei H, Tantuoyir MM, Rodríguez-Román E, Albahash A, Mohamed K, Moyo E, Ahmed AO, Razi S, Rezaei N. Exploring the application of immunotherapy against HIV infection in the setting of malignancy: A detailed review article. Int Immunopharmacol 2022; 105:108580. [PMID: 35121225 DOI: 10.1016/j.intimp.2022.108580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/17/2022] [Accepted: 01/24/2022] [Indexed: 11/27/2022]
Abstract
According to the Joint United Nations Programme on HIV/AIDS (UNAIDS), as of 2019, approximately 42.2 million people have died from acquired immunodeficiency syndrome (AIDS)-related illnesses since the start of the epidemic. Antiretroviral therapy (ART) has significantly reduced mortality, morbidity, and incidence of the human immunodeficiency virus (HIV)/AIDS-defining cancers, taming once-dreaded disease into a benign chronic infection. Although the treatment has prolonged the patients' survival, general HIV prevalence has increased and this increase has dovetailed with an increasing incidence of Non-AIDS-defining cancers (NADCs) among people living with HIV (PLWH). This is happening when new promising approaches in both oncology and HIV infection are being developed. This review focuses on recent progress witnessed in immunotherapy approaches against HIV-related, Non-AIDS-defining cancers (NADCs), and HIV infection.
Collapse
Affiliation(s)
- Rangarirai Makuku
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Cancer Immunology Project (CIP), Universal Scientific Education and Research Network (USERN), Tehran, Iran; Universal Scientific Education and Research Network (USERN), Harare, Zimbabwe
| | - Homa Seyedmirzaei
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Cancer Immunology Project (CIP), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Marcarious M Tantuoyir
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Network of Immunity in Infection, Malignancy, and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Accra, Ghana; Biomedical Engineering Unit, University of Ghana Medical Center (UGMC), Accra, Ghana
| | - Eduardo Rodríguez-Román
- Center for Microbiology and Cell Biology, Instituto Venezolano de Investigaciones Científicas, Caracas 1020A, Venezuela; Universal Scientific Education and Research Network (USERN), Caracas, Venezuela
| | - Assil Albahash
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Kawthar Mohamed
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Cancer Immunology Project (CIP), Universal Scientific Education and Research Network (USERN), Tehran, Iran; Universal Scientific Education and Research Network (USERN), Manama, Bahrain
| | - Ernest Moyo
- Universal Scientific Education and Research Network (USERN), Harare, Zimbabwe; Department of Mathematics and Statistics, Midlands State University, Zimbabwe
| | | | - Sepideh Razi
- Cancer Immunology Project (CIP), Universal Scientific Education and Research Network (USERN), Tehran, Iran; School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran; Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Cancer Immunology Project (CIP), Universal Scientific Education and Research Network (USERN), Stockholm, Sweden.
| |
Collapse
|
3
|
Hillmann A, Crane M, Ruskin HJ. Assessing the impact of HIV treatment interruptions using stochastic cellular Automata. J Theor Biol 2020; 502:110376. [PMID: 32574568 DOI: 10.1016/j.jtbi.2020.110376] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 04/23/2020] [Accepted: 06/12/2020] [Indexed: 11/30/2022]
Abstract
Chronic HIV infection causes a progressive decrease in the ability to maintain homeostasis resulting, after some time, in eventual break down of immune functions. Recent clinical research has shed light on a significant contribution of the lymphatic tissues, where HIV causes accumulation of collagen, (fibrosis). Specifically, where tissue is populated by certain types of functional stromal cells designated Fibroblastic Reticular Cells (FRCs), these have been found to play a crucial role in balancing out apoptosis and regeneration of naïve T-cells through 2-way cellular signaling. Tissue fibrosis not only impedes this signaling, effectively reducing T-cell levels through increased apoptosis of cells of both T- and FRC type but has been found to be irreversible by current HIV standard treatment (cART). While the therapy aims to block the viral lifecycle, cART-associated increase of T-cell levels in blood appears to conceal existing FRC impairment through fibrosis. This hidden impairment can lead to adverse consequences if treatment is interrupted, e.g. due to poor adherence (missing doses) or through periods recovering from drug toxicities. Formal clinical studies on treatment interruption have indicated possible adverse effects, but quantification of those effects in relation to interruption protocol and patient predisposition remains unclear. Accordingly, the impact of treatment interruption on lymphatic tissue structure and T-cell levels is explored here by means of computer simulation. A novel Stochastic Cellular Automata model is proposed, which utilizes all sources of clinical detail available to us (though sparse in part) for model parametrization. Sources are explicitly referenced and conflicting evidence from previous studies explored. The main focus is on (i) spatial aspects of collagen build up, together with (ii) collagen increase after repeated treatment interruptions to explore the dynamics of HIV-induced fibrosis and T-cell loss.
Collapse
Affiliation(s)
- Andreas Hillmann
- Advanced Research Computing Centre for Complex Systems Modelling, School of Computing, Dublin City University, Dublin, Ireland.
| | - Martin Crane
- Advanced Research Computing Centre for Complex Systems Modelling, School of Computing, Dublin City University, Dublin, Ireland
| | - Heather J Ruskin
- Advanced Research Computing Centre for Complex Systems Modelling, School of Computing, Dublin City University, Dublin, Ireland
| |
Collapse
|
4
|
A study on the dynamics of temporary HIV treatment to assess the controversial outcomes of clinical trials: An in-silico approach. PLoS One 2018; 13:e0200892. [PMID: 30021018 PMCID: PMC6051647 DOI: 10.1371/journal.pone.0200892] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 07/05/2018] [Indexed: 01/01/2023] Open
Abstract
It is still unclear under which conditions temporary combined antiretroviral therapy (cART) results in a prolonged remission after interruption. Clinical trials have contradicting reposts about the effect of cART during primary HIV infection on the disease progression. Here we propose that the apparent contradiction is due the presence of a window of opportunity for cART treatment observed in the in silico studies. We study non-linear correlations in the HIV dynamics over time using information theory. This approach requires a large dataset of CD4+ T lymphocytes and viral load concentrations over time. Since it is unfeasible to collect the required amount of data in clinical trials we use C-ImmSim, a clinically validated in silico model of the HIV infection, to simulate the HIV infection and temporary cART in 500 virtual patients for a period of 6 years post infection in time steps of 8 hours. We validate the results of our model with two published clinical trials of temporary cART in acute infection and analyse the impact of cART on the immune response. Our quantitative analysis predicts a “window of opportunity” of about ten months after the acute phase during which a temporary cART has significantly longer-lasting beneficial effects on the immune system as compared to treatment during the chronic phase. This window may help to explain the controversial outcomes of clinical trials that differ by the starting time and duration of the short-term course cART and provides a critical insight to develop appropriate protocols for future clinical trials.
Collapse
|
6
|
Abstract
We analyze a Markov cellular automaton that models the spread of viruses that often progress to a chronic condition, such as human immunodeficiency virus (HIV) or hepatitis C virus (HCV). We show that the complex dynamical system produces a Markov process at the later stages, whose eigenvectors corresponding to the eigenvalue 1 have physical significance for the long-term prognosis of the virus. Moreover we show that drug treatment leads to chronic conditions that can be modeled by Markov shifts with more optimal eigenvectors.
Collapse
Affiliation(s)
- Jane Hawkins
- Department of Mathematics, University of North Carolina at Chapel Hill, CB #3250, Chapel Hill, North Carolina 27599-3250, USA
| | - Donna Molinek
- Department of Mathematics and Computer Science, Davidson College, Davidson, North Carolina 28035, USA
| |
Collapse
|