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      Killing of Targets by CD8 + T Cells in the Mouse Spleen Follows the Law of Mass Action

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      1 , * , 2 , 3
      PLoS ONE
      Public Library of Science

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          Abstract

          It has been difficult to correlate the quality of CD8 T cell responses with protection against viral infections. To investigate the relationship between efficacy and magnitude of T cell responses, we quantify the rate at which individual CD8 effector and memory T cells kill target cells in the mouse spleen. Using mathematical modeling, we analyze recent data on the loss of target cells pulsed with three different peptides from the mouse lymphocytic choriomeningitis virus (LCMV) in mouse spleens with varying numbers of epitope-specific CD8 T cells. We find that the killing of targets follows the law of mass-action, i.e., the death rate of individual target cells remains proportional to the frequency (or the total number) of specific CD8 T cells in the spleen despite the fact that effector cell densities and effector to target ratios vary about a 1000-fold. The killing rate of LCMV-specific CD8 T cells is largely independent of T cell specificity and differentiation stage. Our results thus allow one to calculate the critical T cell concentration at which growth of a virus with a given replication rate can be prevented from the start of infection by memory CD8 T cell response.

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          Multifunctional TH1 cells define a correlate of vaccine-mediated protection against Leishmania major.

          CD4+ T cells have a crucial role in mediating protection against a variety of pathogens through production of specific cytokines. However, substantial heterogeneity in CD4+ T-cell cytokine responses has limited the ability to define an immune correlate of protection after vaccination. Here, using multiparameter flow cytometry to assess the immune responses after immunization, we show that the degree of protection against Leishmania major infection in mice is predicted by the frequency of CD4+ T cells simultaneously producing interferon-gamma, interleukin-2 and tumor necrosis factor. Notably, multifunctional effector cells generated by all vaccines tested are unique in their capacity to produce high amounts of interferon-gamma. These data show that the quality of a CD4+ T-cell cytokine response can be a crucial determinant in whether a vaccine is protective, and may provide a new and useful prospective immune correlate of protection for vaccines based on T-helper type 1 (TH1) cells.
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            Vaccines: correlates of vaccine-induced immunity.

            The immune system is redundant, and B and T cells collaborate. However, almost all current vaccines work through induction of antibodies in serum or on mucosa that block infection or interfere with microbial invasion of the bloodstream. To protect, antibodies must be functional in the sense of neutralization or opsonophagocytosis. Correlates of protection after vaccination are sometimes absolute quantities but often are relative, such that most infections are prevented at a particular level of response but some will occur above that level because of a large challenge dose or deficient host factors. There may be >1 correlate of protection for a disease, which we term "cocorrelates." Either effector or central memory may correlate with protection. Cell-mediated immunity also may operate as a correlate or cocorrelate of protection against disease, rather than against infection. In situations where the true correlate of protection is unknown or difficult to measure, surrogate tests (usually antibody measurements) must suffice as predictors of protection by vaccines. Examples of each circumstance are given.
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              Memory CD8+ T cell differentiation: initial antigen encounter triggers a developmental program in naïve cells.

              The rules that govern memory T cell differentiation are not well understood. This study shows that after antigenic stimulation naïve CD8+ T cells become committed to dividing at least seven times and differentiating into effector and memory cells. Once the parental naïve CD8+ T cell had been activated, this developmental process could not be interrupted and the daughter cells continued to divide and differentiate in the absence of further antigenic stimulation. These data indicate that initial antigen encounter triggers an instructive developmental program that does not require further antigenic stimulation and does not cease until memory CD8+ T cell formation.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                24 January 2011
                : 6
                : 1
                : e15959
                Affiliations
                [1 ]Department of Microbiology, University of Tennessee, Knoxville, Tennessee, United States of America
                [2 ]National Institutes of Health, Bethesda, Massachusetts, United States of America
                [3 ]Theoretical Biology, Utrecht University, Utrecht, The Netherlands
                Albert Einstein College of Medicine, United States of America
                Author notes

                Conceived and designed the experiments: VVG RJDB. Performed the experiments: VVG. Analyzed the data: VVG RJDB. Contributed reagents/materials/analysis tools: DLB. Wrote the paper: VVG RJDB.

                Article
                PONE-D-10-01284
                10.1371/journal.pone.0015959
                3025913
                21283669
                fac11397-8867-43be-a479-aa0d5fb1abd4
                Ganusov et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 25 August 2010
                : 1 December 2010
                Page count
                Pages: 8
                Categories
                Research Article
                Biology
                Computational Biology
                Population Modeling
                Infectious Disease Modeling
                Immunology
                Immune Cells
                T Cells
                Immunity
                Adaptive Immunity
                Theoretical Biology

                Uncategorized
                Uncategorized

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