Dataset Information

Operational tolerance after hematopoietic stem cell transplantation is characterized by distinct transcriptional, phenotypic, and metabolic signatures (Cohort 2).

ABSTRACT: The mechanisms underlying operational tolerance after hematopoietic stem cell transplantation in humans are poorly understood. We studied two independent cohorts of patients who underwent allogeneic hematopoietic stem cell transplantation from human leukocyte antigen-identical siblings. Primary tolerance was associated with long-lasting reshaping of the recipients' immune system compared to their healthy donors with an increased proportion of regulatory T cell subsets and decreased T cell activation, proliferation, and migration. Transcriptomics profiles also identified a role for nicotinamide adenine dinucleotide biosynthesis in the regulation of immune cell functions. We then compared individuals with operational tolerance and nontolerant recipients at the phenotypic, transcriptomic, and metabolomic level. We observed alterations centered on CD38⁺-activated T and B cells in nontolerant patients. In tolerant patients, cell subsets with regulatory functions were prominent. RNA sequencing analyses highlighted modifications in the tolerant patients' transcriptomic profiles, particularly with overexpression of the ectoenzyme NT5E (encoding CD73), which could counterbalance CD38 enzymatic functions by producing adenosine. Further, metabolomic analyses suggested a central role of androgens in establishing operational tolerance. These data were confirmed using an integrative approach to evaluating the immune landscape associated with operational tolerance. Thus, balance between a CD38-activated immune state and CD73-related production of adenosine may be a key regulator of operational tolerance.

INSTRUMENT(S): Q Exactive

SUBMITTER: David Michonneau

PROVIDER: MTBLS221 | MetaboLights | 2021-12-22

REPOSITORIES: MetaboLights

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	MTBLS221	Other
	FILES	Other
	a_MTBLS221__NEG_1_metabolite_profiling_mass_spectrometry.txt	Txt
	a_MTBLS221__NEG_2_metabolite_profiling_mass_spectrometry.txt	Txt
	a_MTBLS221__POS_1_metabolite_profiling_mass_spectrometry.txt	Txt

Items per page:

1 - 5 of 10

Publications

Operational tolerance after hematopoietic stem cell transplantation is characterized by distinct transcriptional, phenotypic, and metabolic signatures.

Dubouchet Laetitia L Todorov Helena H Seurinck Ruth R Vallet Nicolas N Van Gassen Sofie S Corneau Aurélien A Blanc Catherine C Zouali Habib H Boland Anne A Deleuze Jean-François JF Ingram Brian B de Latour Regis Peffault RP Saeys Yvan Y Socié Gérard G Michonneau David D

Science translational medicine 20220223 633

The mechanisms underlying operational tolerance after hematopoietic stem cell transplantation in humans are poorly understood. We studied two independent cohorts of patients who underwent allogeneic hematopoietic stem cell transplantation from human leukocyte antigen-identical siblings. Primary tolerance was associated with long-lasting reshaping of the recipients' immune system compared to their healthy donors with an increased proportion of regulatory T cell subsets and decreased T cell activa ...[more]

PMID: 35196024

Similar Datasets

Project description:Operational tolerance after solid organ transplantation is defined as stable graft acceptance without immunosuppression while maintaining normal immunocompetence against immunological insults. However, it is not clear yet which cellular and molecular pathways are driving tolerance in these patients and how this state can be induced in order to improve graft survival. Several transcriptomic analysis have shown that transcription signatures in blood can reflect the immunological state associated with operational tolerance in kidney transplant. Nonetheless, epigenetic dynamics orchestrating these transcription signatures have not yet been studied. Here, we performed genome-wide analysis of DNA methylation of kidney transplant recipients with chronic rejection and operational tolerance. Our data showed that chronic rejection and operational tolerance recipients have differential DNA methylation in 2737 genes, indicating that each patient group has a specific epigenetic signature associated with transplant outcome. In addition, we observed that operational tolerance is associated with DNA demethylation in genes involved in immune function, including B cell activation (e.g. ST6GAL1, MS4A1 and MEF2C) and the Th17 differentiation program (e.g. LY9 and BATF), while in CR patients is mostly associated intracellular signaling and ubiquitination pathways. Finally, we used weighted gene co-expression network analysis (WGCNA) to select the more defining epigenetic changes associated with operational tolerance. By this method, we select 12 genomic regions specifically hypomethylated (HIVEP2, HOMER1, UTRN, PTPRO, SP100 and JAZF1) or hypermethylated (EMZ8, EZR-AS, WDR20, NADSYN1, TBCD and MED17) in tolerant patients. Analysis of these genes in stable transplant recipients with immunosuppression showed that these patients have a similar methylation signature to operational tolerance recipients. Overall, these results demonstrate that DNA methylation in blood can mirror the immune status associated with kidney transplant outcome and provides a starting point for understanding the epigenetic mechanisms associated with operational tolerance.

Project description:The ability to identify a robust means for both pediatric and adult liver transplant recipients for minimization and weaning of immunosuppression is greatly needed. We analyzed 298 samples from pediatric (n=83) and published adult (n=57) liver transplant recipients, and the public available cell or tissue specific samples (n=158). Biomarkers were first identified from the integration of the cross-platform analysis of Stanford pediatric and adult studies and validated in independent samples from UCLA on microarray. Furthermore, Q-PCR was performed for targets validation and delivers a robust diagnostic assay of predicting potential liver tolerance after liver transplantation. Thirteen unique genes were identified (FDR<5%) using nearest shrunken centroid classification methods as a minimum gene set to cross-validate and predict Stanford pediatric tolerance samples with 1misclassification, 5 misclassification for adult samples, and 100% sensitivity and 83% specificity for an independent UCLA pediatric samples in microarray platform. These subset of tolerant specific genes are highly expressed CD56+ natural killer cells (p=0.03). Furthermore, the subset can be narrowed down to 3 key genes with combined ROC=0.988 for the liver tolerance prediction from Q-PCR verification and 64% MIS and STA were predicted as tolerance with the >90% prediction probability. Specific peripheral transcriptional programs can be identified in operational tolerance in pediatric recipients of liver allografts, distinct from those previously identified in adult operationally tolerant liver recipients, and may provide a means to non-invasively monitor patients in a serial manner for immunosuppression minimization. These genes are highly expressed in specific peripheral blood lymphocyte subsets, and their coordinated may support the maintenance of operational tolerance in children, following liver transplantation. Two centers data was included, which are 41 samples from Stanford as the training set and 44 samples from UCLA as the test set. 26 samples from Stanford and 15 samples from UCLA were used in microarray Agilent whole human genome microarray