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Enregistrement W2564263166 · doi:10.1182/blood.v114.22.2522.2522

Estimating the Replication Rate of Hematopoietic Stem Cells (HSC) In Vivo.

2009· article· en· W2564263166 sur OpenAlexaffabout
Janis L. Abkowitz, Sandra N. Catlin, Rosemary E. Gale, Lambert Busque, Peter Guttorp

Notice bibliographique

RevueBlood · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueHematopoietic Stem Cell Transplantation
Établissements canadiensUniversité de MontréalHôpital Maisonneuve-Rosemont
Organismes subventionnairesnon disponible
Mots-clésBiologyStem cellHaematopoiesisTransplantationIn vivoPhenotypeGeneticsImmunologyAndrologyInternal medicineGeneMedicine

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 2522 Poster Board II-499 The replication kinetics of HSC in vivo is difficult to assess because HSC are infrequent, reside in marrow niches, and are regulated by extrinsic as well as intrinsic signals. Determining the replication (self-renewal) rate of human HSC in vivo is especially difficult because limiting dilution competitive transplantation studies and studies with cell division-sensitive markers are not feasible. Therefore, we developed three surrogate methods by extending observations in other species. These approaches use different data and different assumptions yet yield overlapping estimates and together suggest that human HSC replicate on average once per 40 weeks. This is thus much slower than replication rates of HSC in mouse (∼ once per 2.5 wks), cat (∼ once per 8.3 -10 wks) and nonhuman primate (∼ once per 25 wks) (reviewed in 1). Specifically, we analyzed the drift in the X-chromosome phenotype of blood cells from 1219 females (ages 18 -100, mean 56±22; Montreal cohort) assuming that HSC expressing X-alleles from one parent might divide slightly faster than HSC expressing X-alleles from the other parent and that over time this subtle growth advantage would lead to the phenotypic skewing of HSC and progeny cells. We calculated that the drift that occurs with aging in the X-chromosome phenotype of granulocytes in female Safari cats (F1 offspring of Geoffroyi (G) x domestic (d) cats) can be explained by a 5% difference in the replication rates of HSC expressing G vs. d X-chromosomes. Knowing that G and d cats evolved independently for > 9 million yrs, we simulated human hematopoiesis using a Markovian description of HSC differentiation and the single constraint that the differences in the replication rates of HSC expressing paternal vs. maternal-derived X-chromosomes in individual human females (150,000 yrs of genetic distance) would be less than 5%. For each replication rate (λ), we generated 100 sets of 1219 virtual females (the replication rates of HSC expressing maternal and paternal X-chromosomes in each individual were randomly drawn from a distribution with median λ and variance as observed in Safari cats) and determined if the pattern of X-chromosome phenotype in their blood cells with aging resembled the Montreal data. If yes, λ was included as a possible human HSC replication rate and if no, it was excluded. Using this approach, we defined plausible values for λ, then confirmed the results by a comparable analysis of second dataset (London cohort; 117 females, ages 18–96, mean 66±24). Remarkably, this value (1 per 40 wks; range 1 per 25–50 wks) is also consistent with estimates derived by two independent methods: analysis of granulocyte telomere length with aging2 and application of the concept that the total number of HSC divisions during a mammal's lifetime is evolutionarily conserved (data not shown). We next demonstrated that the estimate was reasonable by simulating human marrow transplantation. When 100 HSC are transplanted (corresponds to 1.9 ×108 marrow cells (MC)/kg, 70 kg recipient), all virtual recipients engraft, consistent with the clinical recommendation that >2–3 × 108 MC/kg be transplanted. Also, when 20 HSC are transplanted (3.9 ×107 MC/kg), graft failure is common (occurs in 50% of simulations). Of interest, these virtual recipients run out of short-term repopulating cells (STRC) within 30 wks, though HSC persist. There are several clinically relevant corollaries to this latter observation. First, children (small size, fewer mature blood cells) tolerate transplantations of fewer HSCs better than adults because few STRC can produce safe numbers of granulocytes, red cells and platelets. Second, supplementing transplantations with infusions of multipotent progenitor cells, such as present in cytokine or Notch ligand Delta1-expanded cord blood, should be an efficacious method to insure adequate hematopoiesis when the numbers of HSC are low and STRC are especially low. The data also raise the possibility that human marrow failure syndromes such as aplastic anemia and myelodysplasia could result from defective HSC commitment or defective expansion of differentiating STRC clones, and not only from the destruction or depletion of HSC. These events may be difficult to study in mice where simulations predict graft failure occurs from HSC depletion (data not shown), justifying the need for larger animal (cat, dog, primate) or human investigation. 1 Blood 110:1806,2007. 2Exp Hematol 32:1014,2004. Disclosures: No relevant conflicts of interest to declare.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,013

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
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)0,0010,001

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 Opus0,018
Tête enseignante GPT0,267
Écart entre enseignants0,249 · 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 source (Gemma direct ou Codex distillé), 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
Publié2009
Routes d'admission2
Résumé présentoui

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