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Transplanted CD34+ Cells Stimulated with Flt3 Ligand and Granulocyte-Colony Stimulating Factor Display An Impaired Early Reconstitution Capacity

2008· article· en· W2994061399 on OpenAlexaff
Fati ma SF Aerts Kaya, Simone C.C. Hartong, Trudi P. Visser, Monique M.A. Verstegen, Albertus W. Wognum, Gerard Wagemaker

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsStemcell Technologies
Fundersnot available
KeywordsStem cell factorGranulocyte colony-stimulating factorHaematopoiesisHematopoietic growth factorBone marrowCD34TransplantationTotal body irradiationInternal medicineWhite blood cellStem cellEndocrinologyAndrologyBiologyImmunologyChemistryMedicineChemotherapyCyclophosphamideCell biology

Abstract

fetched live from OpenAlex

Abstract Flt3/flk2 belongs to the class III hematopoietic growth factor receptors with intrinsic kinase activity, ligand-activated tyrosine phosphorylation and a central role in early stages of hematopoiesis. Flt3-ligand (FL) has been shown to enhance the effects of several growth factors, including Granulocyte-colony stimulating factor (G-CSF). In this study the reconstitution ability of FL+G-CSF primed CD34+ cells was evaluated in a nonhuman primate model of radiation-induced myeloablative treatment followed by transplantation of stimulated autologous bone marrow (BM) and/or peripheral blood (PB) cells. Rhesus monkeys (n=9) were subjected to subcutaneous injections with FL (100 μg/kg/day) and G-CSF (100 μg/kg/day) for 7 to 14 days and subsequently irradiated with a lethal dose of total body irradiation (TBI) followed by transplantation with primed stem cells or with a midlethal dose of TBI (n=2) without transplantation. White blood cell counts (WBC) in PB showed a steep increase and reached a mean level of 98.9×109/L (71.5–131.7×109/L) after 7 days (P<0.01). BM cellularity increased from 35.2×109/L before treatment to 193.8×109/L after priming (95.0–348.2×109/L) (P<0.01). CD34+ cells displayed a 1-log increase (P<0.01) in BM and a 2-log increase in PB (P<0.01). Both total nucleated and CD34+ cell numbers reached after 7 days a steady state level, which was maintained until cessation of growth factor treatment. Treatment with FL+G-CSF resulted in a moderate increase (2-fold) of CFU-GM in BM after 7 days (P<0.05) but did not affect BFU-E, consistent with the predilection of FL for myeloid and lymphoid cells, in contrast to SCF, which predominantly influences the erythroid and thrombopoietic lineage. The effect of treatment with FL+G-CSF on WBC was significantly greater than treatment with either G-CSF at day 7 (P<0.05) or FL at day 7 and 14 (P<0.01). Lethally irradiated monkeys, transplanted with FL+G-CSF stimulated cells displayed a much slower regeneration of WBC, platelets and reticulocytes relative to the cell number transplanted and were consequently in need of prolonged antimicrobial prophylaxis and transfusions. Furthermore, these monkeys displayed regeneration patterns consistent with a 1-log depletion of repopulating cells relative to non-stimulated BM cells. Mid-lethal irradiated FL+G-CSF treated monkeys were not transplanted to study the intrinsic regeneration capacity of primed BM. These monkeys displayed normal regeneration of reticulocytes, platelets and WBC. Thus, stimulation with FL+G-CSF leads to a steep and synergistic increase of nucleated and CD34+ cells in both BM and PB. Priming with FL+G-CSF does not affect the intrinsic regeneration capacity of BM after radiation; but when transplanted, primed CD34+ cells do not per se contribute to accelerated short-term engraftment after transplantation, rather the reconstitution patterns were consistent with on average one order of magnitude stem cell depletion relative to the numbers of CD34+ cells transplanted.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.029
GPT teacher head0.238
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2008
Admission routes1
Has abstractyes

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