Identification of drug-specific public TCR driving severe cutaneous adverse reactions.
Ren-You PanMu-Tzu ChuChuang-Wei WangYun-Shien LeeFrancois LemonnierAaron W MichelsRyan SchutteDavid A OstrovChun-Bing ChenElizabeth Jane PhillipsSimon Alexander MallalMaja MockenhauptTeresa BellónWichittra TassaneeyakulKatie D WhiteJean-Claude RoujeauWen-Hung ChungShuen-Iu HungPublished in: Nature communications (2019)
Drug hypersensitivity such as severe cutaneous adverse reactions (SCAR), including Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN), could be life-threatening. Here, we enroll SCAR patients to investigate the T cell receptor (TCR) repertoire by next-generation sequencing. A public αβTCR is identified from the cytotoxic T lymphocytes of patients with carbamazepine-SJS/TEN, with its expression showing drug/phenotype-specificity and an bias for HLA-B*15:02. This public αβTCR has binding affinity for carbamazepine and its structural analogs, thereby mediating the immune response. Adoptive transfer of T cell expressing this public αβTCR to HLA-B*15:02 transgenic mice receiving oral administration of carbamazepine induces multi-organ injuries and symptoms mimicking SCAR, including hair loss, erythema, increase of inflammatory lymphocytes in the skin and blood, and liver and kidney dysfunction. Our results not only demonstrate an essential role of TCR in the immune synapse mediating SCAR, but also implicate potential clinical applications and development of therapeutics.
Keyphrases
- regulatory t cells
- adverse drug
- wound healing
- healthcare
- immune response
- drug induced
- mental health
- end stage renal disease
- dendritic cells
- chronic kidney disease
- oxidative stress
- ejection fraction
- early onset
- emergency department
- poor prognosis
- cell therapy
- binding protein
- stem cells
- small molecule
- mesenchymal stem cells
- risk assessment
- dna methylation
- copy number
- bone marrow
- peripheral blood
- molecular dynamics simulations
- climate change
- inflammatory response
- human health
- cell free
- bioinformatics analysis