MétaCan
Menu
← Retour à la cohorte
Enregistrement W4405046742 · doi:10.1182/blood-2024-210038

Don't Fly and Freeze: Impact of Ex-Vivo-Time, Cell Concentration and Cryopreservation on the Composition of Allogeneic Stem Cell Grafts

2024· article· en· W4405046742 sur OpenAlexaff
Igor Novitzky‐Basso, Emily Fu, M.C Barroso Alvarez, Caden Chiarello, Mohammed Kawari, Megan Nelles, Alexander Marks de Chabris, Ronal Ramos de Armas, Melissa Kissoon, Mark Camacho, Orlay Lopez-Perez, Tulsidai Ramdass, Saqeeful Haque, Valerie McKay, Muhammad Badawi, Rashied Kawsher Molla, Rupal Hatkar, Rachel Jihye Kim, Monoleena Khan, Bramdeo Motiram, Lynn Jean, Mónica Chacón, Amina L. Mohamed, Madhavi Gerbitz, Abdullah Siddique, Miyada Himmat, Ahmed Najemeldin, Lydia Morrison, Mats Remberger, Jonas Mattsson, Armin Gerbitz

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueHematopoietic Stem Cell Transplantation
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésCryopreservationLeukapheresisAndrologyStem cellViability assayApheresisBiologyEx vivoImmunologyTransplantationCD34MedicineCellIn vivoInternal medicineBiotechnologyCell biologyBiochemistryPlatelet

Résumé

récupéré en direct d'OpenAlex

Background CD34+ cells are considered the active substance in allogenic hematopoietic stem cell (aHSC) grafts. However, immunologically active cellular “contaminants” make up >90% of nucleated cells in aHSC grafts, and are crucial for treatment success in hematological disorders. Following COVID-19 pandemic restrictions that were implemented due to supply chain interruptions and infection risk concerns, we conducted a prospective quality analysis on cell composition and viability before and after cryopreservation in aHSC grafts. Methods We analyzed fresh grafts from matched related (n=192) and unrelated (MUD; n=263) donors, and cryopreserved grafts (related, n=34; unrelated, n=97) between April 2020 and December 2023; cell composition, concentration, and time spent ex-vivo (apheresis to infusion/cryopreservation) were recorded. Flow cytometric analysis was carried out upon receipt at our institution and after thaw (if cryopreserved). Viability and absolute counts were studied in CD34+ stem cells, monocytes (CD14+), T cells (CD3+, CD4+ and CD8+), B cells (CD19+), and NK cells (CD56+). Grafts were received from 22 countries (grouped into 3 regions: Asia, Europe, Americas); many were also obtained through local apheresis (all related donors). Results Upon arrival, CD34+ cell viability was 99.0% (82-100%), with the bottom 10% of MUD grafts showing low average viability of 88.1%. Overall CD3+ cells exhibited high viability of 98.3% (59.1-100), with MUD grafts largely contributing to the lowest values; 29 had CD3+ viability <93.7%. Viability of CD4+ cells ranged much wider than CD8+ cells (54.4-100% and 68.3-100%, respectively). Given these results, we analyzed the impact of ex-vivo time on viability. Locally acquired grafts (n=225) had short ex-vivo times (15.5h±11.0) compared to grafts from abroad (Asia, n=5, 59.7h±20.9; Europe, n=270, 44.2h±11.1; Americas, n=84, 27.0h±11.1). The effect of ex-vivo time on viability was significant for a cell types (p<0.001). As expected, there was a limited inverse correlation in CD34+ cells (R2=0.038). However, a strong inverse correlation was found in T cells (CD3+ cells R2=0.167, CD4+ R2=0.168, CD8+ R2=0.148, TCRα/β R2=0.172, TCRg/d, R2=0.044). The effect on viability was minimal in CD56+, 14+, and 19+ cells (all >99.5%, 92-100). Subsequently, we reasoned that cell concentration in the apheresis bag may equally impact viability. While CD34+ viability (R2=0.002, p=0.969) showed no correlation, CD45+ viability was significantly positively affected (R2=0.013, p=0.004). No correlation of viability with cell concentration was seen in CD14+ cells (R2=0.001, p=0.672), CD19+ cells (R2=0.002, p=0.755) and CD56+ cells (R2=0.000, p=0.293), but nearly all T cell subsets were positively affected (CD3+ R2=0.020, CD4+ R2=0.020, CD8+ R2=0.021, TCRα/β R2=0.021, all p<0.001, TCRg/d R2=0.002, p=0.159). Cell concentrations were higher in local products compared to MUD (p<0.001), prompting us to create an index to elucidate the relationship of both factors (PMIndex=Ex-Vivo time x cell concentration). PMindex was significantly inversely correlated with viability of all cell subsets (p<0.001), except CD19+ cells (p=0.409). Viability correlation was weak for CD34+ (R2=0.047), CD14+ (R2=0.121), and CD56+ (R2=0.069) cells. Viability was most affected in T cells when ex-vivo time was long and cell concentration was high: CD3+ R2=0.125, CD4+ R2=0.127, CD8+ R2=0.107, TCRα/β R2=0.129, TCRg/d R2=0.037 (all p<0.001). When grafts were analyzed post cryopreservation (n=131), high PMIndex did not impact CD34+ (p=0.944), CD14+ (p=0.148), CD19+ (p=0.054), and CD56+ (p=0.064) cells, while T cells were impacted substantially (p<0.001 for CD3+, 4+, 8+, and TCRα/β; TCRg/d p=0.121). Thus, cryopreservation significantly reduced the number of viable T cells infused (CD3+=-47.6%, CD4+=-52.1%, CD8+=-38.6%, TCRα/β=-48.0%, TCRg/d=-35.6%). CD34+ (-8.3%), CD14+ (-27.1%), CD19+ (-16.7%) and CD56+ (-21.3%) cells were only mildly affected. Conclusion All aHSC graft constituents are affected by ex-vivo time, cell concentration and cryopreservation; CD34+ cells are the most tolerant and T cells the most affected. The data presented may have clinical implications for patients receiving cryopreserved grafts with long ex-vivo times and high cell concentrations. More granular analysis of graft composition should be performed when cryopreservation is planned.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,000
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 savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,013
Tête enseignante GPT0,246
Écart entre enseignants0,232 · 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'étudeExpérimental (laboratoire)
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

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetHematopoietic Stem Cell Transplantation→Travaux en français237 207→