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Enregistrement W4405092621 · doi:10.1182/blood-2024-207200

Poisoning of Healthy Hematopoiesis Is an Unanticipated Mechanism Driving Clonal Dominance in Vexas Syndrome

2024· article· en· W4405092621 sur OpenAlexaff
Martina Fiumara, Raffaella Molteni, Corrado Campochiaro, Roberta Alfieri, Guido Pacini, Alessandro Tomelleri, Elisa Diral, Angelica Varesi, Alessandra Weber, Pamela Quaranta, Luisa Albano, Chiara Gaddoni, Luca Basso‐Ricci, Davide Stefanoni, Gregorio Maria Bergonzi, Andrea Annoni, Maddalena Panigada, Eleonora Cantoni, Daniele Canarutto, Stephanie Z. Xie, Angelo D’Alessandro, Raffaella Di Micco, Alessandro Aiuti, Fabio Ciceri, Giacomo De Luca, Lorenzo Dagna, Marco Matucci‐Cerinic, Ivan Merelli, Simone Cenci, Serena Scala, Giulio Cavalli, Luigi Naldini, Samuele Ferrari

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueOphthalmology and Eye Disorders
Établissements canadiensPrincess Margaret Cancer CentreUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMechanism (biology)Dominance (genetics)MedicineBiologyGeneticsImmunologyGene

Résumé

récupéré en direct d'OpenAlex

VEXAS syndrome is a recently discovered adult-onset autoinflammatory disease burdened by a high mortality rate and caused by dominant hematopoietic clones bearing somatic mutations in the UBA1 gene. However, pathogenic mechanisms fueling clonal dominance are unknown. Moreover, the lack of disease models hampers the development of disease-modifying therapies. Here, we develop humanized models of VEXAS syndrome through base editing technology and capitalize on granular omic datasets from patients and the model itself to unravel cell state perturbations and biologic mechanisms driving clonal dominance in VEXAS syndrome. Immunophenotypic dissection of hematopoiesis in VEXAS patients (n=9) compared to controls highlighted myeloid bias, impaired lympho/erythro/megakaryo-poiesis, increased mobilization to the bloodstream, and lower primitiveness of HSPCs as major phenotypic markers in patients. Moreover, patients' HSPCs had impaired reconstitution capacity in immunodeficient mice, hampering their use for further studies. We thus leveraged base editing to develop in vitro and in vivo models of VEXAS syndrome by genetically converting human wildtype HSPCs (UBA1wt) into UBA1 mutant (UBA1mut) with >90% efficiency. Clonogenic and multilineage differentiation assays revealed an exclusive myeloid and NK output of UBA1mut HSPCs. Concordantly, xenotransplantation of >80% UBA1mut HSPCs resulted in a 10-50-fold lower human cell output in vivo compared to controls (100% UBA1wt) due to dramatic shrinkage of the lymphoid compartment. Conversely, NK and myeloid ones were more preserved. HSPCs from bone marrow of UBA1mut mice were lower in number and mostly myeloid-biased. Of note, myeloid cells and HSPCs were mostly UBA1mut, while the few differentiated lymphoid cells were UBA1wt. Single-cell RNA-sequencing (scRNA-seq) on human UBA1mut grafts showed pervasive upregulation of inflammatory and apoptotic transcriptional responses, and lower propensity to engage cell cycle, across all hematopoietic subpopulations. Primitive HSCs from UBA1mut mice early activate inflammatory responses, are prematurely aged, and transcriptionally imprinted toward myelopoiesis. Notably, the immunophenotype, lineage repopulation patterns, and transcriptomic programs across all human hematopoietic subpopulations strikingly mirrored those observed in VEXAS patients from our cohort, validating the reliability of the model. We then leveraged our humanized model to study how different degrees of mosaicism affect hematopoiesis, and the mechanisms underlying clonal dominance. Competitive transplants mixing human UBA1mut and UBA1wt HSPCs at different ratios showed that the absolute number of human cells progressively decreased at increasing input of UBA1mut HSPCs, while the myeloid-lymphoid ratio increased. The proportion, but not the absolute number, of UBA1mut cells was enriched from the input within HSPCs and myeloid cells at >25% UBA1mut HSPCs infused. Conversely, B cells were only UBA1wt but dramatically reduced in numbers considering the input of transplanted UBA1wt HSPCs. These data suggested a threshold effect above which the pathogenic clone dominates and subverts human hematopoiesis through a “poisonous” cell-extrinsic effect, rather than cell-autonomous proliferative advantage. To uncover the factors contributing to the establishment of a poisonous microenvironment, we measured the abundance of proinflammatory cytokines within the bone marrow of UBA1mut mice and found substantial elevation of human IL-1β, IL-18 and IL-1RA compared to UBA1wt controls. To confirm that the bone marrow microenvironment reshaped toward an inflammatory milieu can poison bystander cells, including hematopoietic progenitors, we performed scRNA-seq on lineage-negative murine cells in UBA1mut mice. Intriguingly, we found potent activation of NFkB-mediated inflammatory signatures, promoting cell proliferation and apoptosis. These data indicate that while mutant cells are resilient to the inflammatory milieu, wild-type ones are poisoned and progressively overwhelmed by VEXAS clones, becoming unable to support functional multilineage hematopoiesis. In summary, our study unveils an unanticipated mechanism of clonal dominance, provides new models for preclinical investigation of therapeutic strategies, and has relevant implications for clinical management of VEXAS patients.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil0,471

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,022
Tête enseignante GPT0,313
Écart entre enseignants0,291 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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