ArticlePLoS computational biology2011
Quantification of the relative importance of CTL, B cell, NK cell, and target cell limitation in the control of primary SIV-infection.
Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 24 citations in OpenAlex.
- 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.PLoS computational biology · 2024Article
- An Improved Two-Shot Tracking Algorithm for Dynamics Analysis of Natural Killer Cells in Tumor Contexts.Bioengineering (Basel, Switzerland) · 2024Article
- CD8Nature microbiology · 2023Article
- Immune-Enhancing Effects of Co-treatment WithFrontiers in nutrition · 2022Article
- Role of IL-15 Signaling in the Pathogenesis of Simian Immunodeficiency Virus Infection in Rhesus Macaques.Journal of immunology (Baltimore, Md. : 1950) · 2019Article
- Immuno-enhancement effects of Platycodon grandiflorum extracts in splenocytes and a cyclophosphamide-induced immunosuppressed rat model.BMC complementary and alternative medicine · 2019Article
- Modeling the immune response to HIV infection.Current opinion in systems biology · 2018Article
- What Controls the Acute Viral Infection Following Yellow Fever Vaccination?Bulletin of mathematical biology · 2018Article
- Notwithstanding Circumstantial Alibis, Cytotoxic T Cells Can Be Major Killers of HIV-1-Infected Cells.Journal of virology · 2016Article
- Hypercytotoxicity and rapid loss of NKp44+ innate lymphoid cells during acute SIV infection.PLoS pathogens · 2014Article
- Predicting the impact of CD8+ T cell polyfunctionality on HIV disease progression.Journal of virology · 2014Article
- Rates of CTL killing in persistent viral infection in vivo.PLoS computational biology · 2014Article
- A novel acute HIV infection staging system based on 4th generation immunoassay.Retrovirology · 2013Article
- Early immunologic correlates of HIV protection can be identified from computational analysis of complex multivariate T-cell flow cytometry assays.Bioinformatics (Oxford, England) · 2012Article
- Understanding natural killer cell regulation by mathematical approaches.Frontiers in immunology · 2012Article
- The efficiency of the human CD8+ T cell response: how should we quantify it, what determines it, and does it matter?PLoS computational biology · 2012Article
- Virus replication strategies and the critical CTL numbers required for the control of infection.PLoS computational biology · 2011Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
Abstract
CD8+ cytotoxic T lymphocytes (CTLs), natural killer (NK) cells, B cells and target cell limitation have all been suggested to play a role in the control of SIV and HIV-1 infection. However, previous research typically studied each population in isolation leaving the magnitude, relative importance and in vivo relevance of each effect unclear. Here we quantify the relative importance of CTLs, NK cells, B cells and target cell limitation in controlling acute SIV infection in rhesus macaques. Using three different methods, we find that the availability of target cells and CD8+ T cells are important predictors of viral load dynamics. If CTL are assumed to mediate this anti-viral effect via a lytic mechanism then we estimate that CTL killing is responsible for approximately 40% of productively infected cell death, the remaining cell death being attributable to intrinsic, immune (CD8+ T cell, NK cell, B cell) -independent mechanisms. Furthermore, we find that NK cells have little impact on the death rate of infected CD4+ cells and that their net impact is to increase viral load. We hypothesize that NK cells play a detrimental role in SIV infection, possibly by increasing T cell activation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.