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Dawood, A. S.

Publications and source records attributed to Dawood, A. S..

2 recordsLinked to original sources

Preexisting chronic infection skews the epigenetic landscape of subsequent memory CD8 T cell responses

Previous studies suggest that preexisting chronic disease impairs immune responses to subsequent infection and vaccination. However, the underlying epigenetic mechanisms are understudied. Here, we show that preexisting chronic infection with LCMV clone 13 (CL13) compromised the formation of central memory CD8 T cells (TCM) to subsequent Listeria monocytogenes infection, despite not profoundly impacting effector responses. This correlated with a skewed cytokine milieu. Our chromatin-accessibility profiling of Listeria-specific CD8 T cells showed significant epigenetic skewing of both TCM and effector memory (TEM) in mice with preexisting LCMV-CL13, a skewing that started in memory-precursor effector cells (MPECs) during the effector phase. Transcription-factor binding sites (TFBS) analyses highlighted the interferon regulatory factor (IRF) family as major TFs implicated in this skewing. Thus, our results suggest that preexisting persistent inflammation skews the phenotypic and epigenetic landscape of subsequent memory responses, arguing for interventions to optimize vaccine-induced memory in hosts with preexisting chronic disease.

immunology↗

Longitudinal proteomic analysis of T cell differentiation in vivo reveals dynamic changes of the interactome

CD8 T cell exhaustion impedes immune responses to cancer and chronic infections, and a biochemical understanding of exhaustion is essential to improving immunotherapy. Here, we present the first longitudinal protein abundance and phosphoproteomic analysis of antigen-specific CD8 T cells undergoing differentiation in vivo during acute (LCMV-Armstrong) and chronic (LCMV-Clone 13) infection. Comparing protein abundance across the two infection conditions identified over 180 known and novel exhaustion-associated proteins, including proteins missed by transcriptional analyses. Phosphoproteomic analysis identified >900 differentially regulated phosphosites on >400 proteins, including known inhibitory phosphosites on PD1, PAG1, SHP-1/PTPN6, SLAMF1/CD150. We also calculated phosphosite conservation across mammals, to direct follow-up studies towards sites with likely essential function. Lastly, our analysis uncovers exhaustion-associated kinases with clinical-stage inhibitors, underscoring the translational utility of our dataset to guide immunotherapy development. Together, our datasets define a biochemical atlas of T cell exhaustion in vivo, shedding light on the molecular mechanisms of T cell dysfunction.

immunology↗