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Record 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 on 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

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Eye Disorders
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMechanism (biology)Dominance (genetics)MedicineBiologyGeneticsImmunologyGene

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.313
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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