Decoding the role of inflammatory signaling in shaping HSC heterogeneity and engraftment in gene therapy-treated β-thalassemia pediatric patients
Notice bibliographique
Résumé
Abstract Stress conditions influence hematopoietic stem cell (HSC) fate and lineage output, underscoring hematopoietic flexibility to external stimuli. In β-thalassemia (Bthal), chronic bone marrow (BM) stress since anemia and ineffective erythropoiesis remodels the BM microenvironment, affecting HSC biology (Aprile et al Blood 2020). We recently showed that BM HSCs/MPPs (multipotent progenitors) in pediatric Bthal patients are activated and primed towards erythroid differentiation, with reduced stemness pathways, altered inflammatory signaling (e.g. TGFβ, TNFα-NFKB), and decreased dormancy signatures (Lidonnici MR et al., Nat Commun 2025). In the Tiget-Bthal clinical trial, HSC lentiviral gene therapy (GT) led to initial transfusion independence for most patients, correlating with engraftment of gene-corrected HSCs (Marktel S. et al. Nat Med 2019). However, a subset of pediatric patients showed poor engraftment with a drop in genetically marked cells post-GT despite optimal transduction efficiency and vector copy number (VCN) in the administered drug product and adequate conditioning, requiring transfusional support. We hypothesize that HSC heterogeneity and the status of BM microenvironment influence repopulating capacity and the consequent hematopoietic reconstitution in GT-treated patients. To investigate HSC diversity in nine Bthal patients treated with gene therapy, we performed single-cell RNA sequencing (scRNAseq) on CD34+ cells and HSCs/MPPs from BM pre-GT, mobilized peripheral blood (mPB, GT source), and BM post-GT. On the basis of clinical outcome and molecular follow-up, the patients here are referred to as with high (HE) or low engraftment (LE) of genetically modified cells. No difference in HSPC (hematopoietic stem and progenitor cell) composition in the CD34+ compartment was observed across timepoints or between HE and LE patients, consistently with immunophenotypic analyses. Gene set enrichment analysis using stemness signatures and MSigDB gene sets identified differences in HSCs/MPPs across samples. Specifically, mPB HSCs/MPPs from LE patients showed lower dormancy scores and reduced TNFα via NFkB signaling enrichment compared to HE patients. Integration with HSC meta-programs (Zeng et al., bioRxiv 2023) revealed that LE HSCs/MPPs had reduced enrichment for the inflammatory memory HSC program (HSC-iM), consistent with downregulation of TNFα via NFkB signaling. Analysis of differentially expressed genes by DESeq2 identified upregulation of IFN-responsive genes in LE mPB HSCs/MPPs. These data suggest diverse responses to inflammatory stimuli in a heterogeneous HSC population. Post-GT analysis showed that BM HSCs/MPPs in LE patients were more quiescent, exhibited reduced cycling, and showed an elevated hypoxic signature. These cells were enriched for the expression of dormancy-associated genes, as well as HSC-iM genes, including those related to the IFN-γ and IL-1 signaling pathways. Measurement of BM plasma cytokines (IFN-γ and IL-1b) correlated with HSC/MPP transcriptomic profiles, linking high basal homeostatic inflammatory microenvironment to stem cell status. It is noteworthy that TNFα, IFN-γ, and IL-1b levels were already altered in the BM plasma of Bthal patients compared to healthy controls. These data suggest that inflammatory stress, likely induced in Bthal BM by chronic stimulus to erythroid proliferation and hypoxia, may drive the affected HSC into dormancy as a protective adaptation to protect the integrity of the stem cell pool. Finally, re-analysis of vector integration sites (Calabria et al. Nature 2024), stratified by patients' groups, confirmed fewer active HSPCs in LE compared to HE patients, indicating reduced contribution of genetically modified HSPCs to hematopoiesis. Overall, our data indicate that the degree of HSC dormancy in the stem cell source and prevalence of inflammatory transcriptional signatures are critical to preserving HSC function and ensuring effective engraftment and hematopoietic reconstitution. Ongoing analyses using specific inflammatory-related signatures will delineate HSC subset composition and underscore heterogeneity concerning activation, lineage commitment, stemness, and inflammation. Understanding how distinct HSC subsets respond to inflammatory cues in vivo will guide strategies to predict patient responses and refine conditioning regimens or ex vivo manipulation protocols, ultimately improving gene therapy efficacy for β-thalassemia.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».