Abacavir inhibits but does not cause self-reactivity to HLA-B*57:01-restricted EBV specific T cell receptors.
Anuradha SoodaFrancois RwandamuriyeCelestine N WanjallaLichen JingDavid M KoelleBjoern PetersShay LearyAbha ChopraMichael A CalderwoodSimon A MallalRebecca PavlosMark WatsonElizabeth Jane PhillipsAlec J RedwoodPublished in: Communications biology (2022)
Pre-existing pathogen-specific memory T cell responses can contribute to multiple adverse outcomes including autoimmunity and drug hypersensitivity. How the specificity of the T cell receptor (TCR) is subverted or seconded in many of these diseases remains unclear. Here, we apply abacavir hypersensitivity (AHS) as a model to address this question because the disease is linked to memory T cell responses and the HLA risk allele, HLA-B*57:01, and the initiating insult, abacavir, are known. To investigate the role of pathogen-specific TCR specificity in mediating AHS we performed a genome-wide screen for HLA-B*57:01 restricted T cell responses to Epstein-Barr virus (EBV), one of the most prevalent human pathogens. T cell epitope mapping revealed HLA-B*57:01 restricted responses to 17 EBV open reading frames and identified an epitope encoded by EBNA3C. Using these data, we cloned the dominant TCR for EBNA3C and a previously defined epitope within EBNA3B. TCR specificity to each epitope was confirmed, however, cloned TCRs did not cross-react with abacavir plus self-peptide. Nevertheless, abacavir inhibited TCR interactions with their cognate ligands, demonstrating that TCR specificity may be subverted by a drug molecule. These results provide an experimental road map for future studies addressing the heterologous immune responses of TCRs including T cell mediated adverse drug reactions.
Keyphrases
- epstein barr virus
- regulatory t cells
- adverse drug
- diffuse large b cell lymphoma
- drug induced
- immune response
- working memory
- genome wide
- electronic health record
- dendritic cells
- endothelial cells
- candida albicans
- dna methylation
- emergency department
- high resolution
- gene expression
- machine learning
- mass spectrometry
- inflammatory response
- oxidative stress
- antimicrobial resistance
- heat shock
- gram negative
- current status
- deep learning