Immune dysregulation and T-cell Exhaustion in people with Down syndrome Restricted; Files Only
Majithia, Manini (Spring 2024)
Abstract
Down syndrome (DS) affects about 1 in 1000 live births, influencing both development and the
immune system of affected individuals. People with DS face a higher risk and experience poorer
outcomes to respiratory infections, cancer, autoimmune conditions, and cardiovascular
conditions. DS condition arises by full or partial trisomy of chromosome 21, which encodes 4 out
of 6 IFN receptors. The overstimulation of the JAK/STAT pathway leads to chronic inflammation
even in the absence of infection. Consequently, there is chronic stimulation of T cells which leads
to T cell exhaustion. Understanding the role of T cell exhaustion in people with Down syndrome
is crucial to unravelling the comorbidities associated with DS. The phenotypic markers and
transcription factors associated with T cell differentiation were investigated in a cohort
comprising DS (n=59) and non-DS (n=60) from São Paulo, Brazil. Notably, UMAP and Trajectory
Analysis revealed that DS group had statistically significant differences in CD4 and CD8 (non-
parametric Wilcoxon test, p<0.05) expression of clusters of increased differentiation. DS
individuals displayed a more exhausted T cell subset such as TEMRA (terminally differentiated), T
Effector Memory and T transition memory subsets. The phenotype of individuals with DS included
exhaustive intermediate and exhaustive terminal subsets showing a reduction in effector function
based on Granzyme B and TBET expression. In comparison, non-DS individuals express a less
differentiated and more homeostatic T cell repertoire, marked by expression of naïve, central
memory and stem-like subsets. These findings suggest that DS has distinct T cell subsets that
show patterns of exhaustion. Such findings are pivotal for comprehending the immune
dysfunction in individuals with DS, potentially paving the way for developing innovative
therapeutic approaches to reverse exhaustion (JAK/ STAT inhibitors, anti-PD1, anti-SLAMF6).
Table of Contents
Introduction ........................................................................................................................1
Down Syndrome ...................................................................................................................2
DS Demographics .................................................................................................................2
Clinical Manifestation ..........................................................................................................3
Immune System Overview ....................................................................................................4
Interferons and the JAK/STAT Pathway ..................................................................................4
T-lymphocyte cells .............................................................................................................. 6
T cell exhaustion .................................................................................................................8
Markers Defining T cell exhaustion .......................................................................................8
Immune Dysregulation in Down syndrome ...........................................................................11
T cell exhaustion in Down syndrome ...................................................................................13
Methods ............................................................................................................................14
Cohort ..............................................................................................................................14
Sample Collection ..............................................................................................................14
Thawing of PBMC samples ..................................................................................................15
Immunofluorescent Cell Staining ........................................................................................15
Uniform Manifold Approximation and Projection (UMAP) for Dimension Reduction ............... 17
Trajectory Analysis ............................................................................................................18
Statistics ...........................................................................................................................18
Code Availability ................................................................................................................18
Results...............................................................................................................................19
Demographics ....................................................................................................................19
Principal Variance Component Analysis (PVCA) ................................................................... 20
Defining T cell subsets ....................................................................................................... 20
CD8+ T cells ...................................................................................................................... 23
UMAP Analysis and cluster annotations ...............................................................................23
Trajectory Analysis ............................................................................................................ 26
CD4+ T cells ...................................................................................................................... 28
UMAP Analysis and cluster annotations .............................................................................. 28
Trajectory Analysis ............................................................................................................ 31
Discussion......................................................................................................................... 33
Conclusion ........................................................................................................................ 35
Future Directions............................................................................................................... 35
Limitations ........................................................................................................................36
Supplemental Information ..................................................................................................37
References .........................................................................................................................40
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