Modelling the impact of iKIRs in adaptive immune responses
File(s)
Author(s)
Mora Bitria, Laura
Type
Thesis
Abstract
Inhibitory killer cell immunoglobulin-like receptors (iKIRs) are a family of inhibitory receptors
that are expressed by natural killer cells and late-stage differentiated T cells. iKIRs are well-
known for their function during innate responses but there is evidence that they also regulate
T cell-mediated immunity. Importantly, recent immunogenetic studies indicate that iKIRs en-
hance T cell-mediated control in chronic viral infections in humans. Whether iKIRs play an
analogous role in other contexts is currently unknown. This thesis aims to tackle that ques-
tion by combining immunogenetic analysis, mathematical modelling and iKIR expression data
analysis in the context of type 1 diabetes (T1D). In autoimmunity, an enhanced T cell response
might be considered detrimental and so iKIRs might have an opposite effect and exacerbate
self-reactive T cell responses. The immunogenetic analysis of two T1D cohorts confirms this
hypothesis and reveals a large detrimental effect of iKIR genes in T1D. Specifically, the pro-
tection conferred by some HLA class II genotypes is weakened in individuals carrying a high
number of iKIR genes together with their ligand genes. Mathematical modelling shows that an
iKIR-mediated increase of CD8+ and CD4+ T cell survival can explain the effect of iKIR genes
in individuals carrying protective HLA class II genotypes. Finally, the iKIR expressing CD4+
and CD8+ T cell populations are relatively small and not expanded in blood in T1D patients,
suggesting that crosstalk between autoreactive T cells and other iKIR expressing immune pop-
ulations is more likely to explain the observed iKIR effect. Overall, this thesis expands the
iKIR modulatory role of T cells during antiviral responses to autoimmune responses, hinting
at a core and widespread function of iKIRs in adaptive human immunity.
that are expressed by natural killer cells and late-stage differentiated T cells. iKIRs are well-
known for their function during innate responses but there is evidence that they also regulate
T cell-mediated immunity. Importantly, recent immunogenetic studies indicate that iKIRs en-
hance T cell-mediated control in chronic viral infections in humans. Whether iKIRs play an
analogous role in other contexts is currently unknown. This thesis aims to tackle that ques-
tion by combining immunogenetic analysis, mathematical modelling and iKIR expression data
analysis in the context of type 1 diabetes (T1D). In autoimmunity, an enhanced T cell response
might be considered detrimental and so iKIRs might have an opposite effect and exacerbate
self-reactive T cell responses. The immunogenetic analysis of two T1D cohorts confirms this
hypothesis and reveals a large detrimental effect of iKIR genes in T1D. Specifically, the pro-
tection conferred by some HLA class II genotypes is weakened in individuals carrying a high
number of iKIR genes together with their ligand genes. Mathematical modelling shows that an
iKIR-mediated increase of CD8+ and CD4+ T cell survival can explain the effect of iKIR genes
in individuals carrying protective HLA class II genotypes. Finally, the iKIR expressing CD4+
and CD8+ T cell populations are relatively small and not expanded in blood in T1D patients,
suggesting that crosstalk between autoreactive T cells and other iKIR expressing immune pop-
ulations is more likely to explain the observed iKIR effect. Overall, this thesis expands the
iKIR modulatory role of T cells during antiviral responses to autoimmune responses, hinting
at a core and widespread function of iKIRs in adaptive human immunity.
Version
Open Access
Date Issued
2023-07
Date Awarded
2024-01
Copyright Statement
Creative Commons Attribution NonCommercial Licence
License URL
Advisor
Asquith, Becca
Niederalt, Christoph
Sponsor
European Union
Grant Number
764698
Publisher Department
Department of Infectious Disease
Publisher Institution
Imperial College London
Qualification Level
Doctoral
Qualification Name
Doctor of Philosophy (PhD)