Dynamics of T cell repertoire renewal following autologous hematopoietic stem cell transplantation in multiple sclerosis.
Josefine RuderMaría José DocampoJordan RexSimon ObahorReza NaghavianAntonia M S MüllerUrs SchanzIlijas JelcicRoland MartinPublished in: Science translational medicine (2022)
Autologous hematopoietic stem cell transplantation (aHSCT) is a highly effective treatment of multiple sclerosis (MS). It depletes autoreactive cells and subsequently renews adaptive immune cells. The possible proinflammatory potential of surviving T cells early after aHSCT has not been studied. Here, we examined the dynamics of new and surviving T cells in 27 patients after aHSCT by multidimensional flow cytometry, T cell receptor (TCR) sequencing, specificity testing, telomere length profiling, and HLA genotyping. Early after aHSCT, naïve T cells are barely detectable, whereas effector memory (EM) T cells quickly reconstitute to pre-aHSCT values. EM CD4 + T cells early after aHSCT have shorter telomeres, have higher expression of senescence and exhaustion markers, and proliferate less than those before aHSCT. We find a median TCR repertoire overlap of 26% between the early post-aHSCT EM CD4 + T cells and pre-aHSCT, indicating persistence of EM CD4 + T cells early after transplantation. The EM CD4 + TCR repertoire overlap declines to 15% at 12 months after aHSCT, whereas the naïve TCR repertoire entirely renews. HLA-DR-associated EM CD4 + T cell reactivity toward MS-related antigens decreased after aHSCT, whereas reactivity toward EBV increased. Our data show substantial survival of pre-aHSCT EM CD4 + T cells early after transplantation but complete renewal of the T cell repertoire by nascent T cells later.
Keyphrases
- multiple sclerosis
- regulatory t cells
- mass spectrometry
- flow cytometry
- end stage renal disease
- chronic kidney disease
- acute myeloid leukemia
- dendritic cells
- ejection fraction
- poor prognosis
- ms ms
- high throughput
- oxidative stress
- gene expression
- endothelial cells
- risk assessment
- machine learning
- mesenchymal stem cells
- induced apoptosis
- stem cells
- binding protein
- long non coding rna
- prognostic factors
- smoking cessation
- epstein barr virus
- stress induced
- genome wide
- human health