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Record W2336762300 · doi:10.1016/j.exphem.2016.04.003

Early production of human neutrophils and platelets posttransplant is severely compromised by growth factor exposure

2016· article· en· W2336762300 on OpenAlexafffund
Paul H. Miller, David J. H. F. Knapp, Philip Beer, Margarita MacAldaz, Gabrielle Rabu, Alice M.S. Cheung, Lisa L. Wei, Connie J. Eaves

Bibliographic record

VenueExperimental Hematology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
FundersUniversity of British ColumbiaTerry Fox Foundation
KeywordsPlateletImmunologyProduction (economics)Growth factorMedicineBiologyMicrobiologyInternal medicineReceptor

Abstract

fetched live from OpenAlex

The critical human cells that produce neutrophils and platelets within 3 weeks in recipients of hematopoietic transplants are thought to produce these mature blood cells with the same kinetics in sublethally irradiated immunodeficient mice. Quantification of their numbers indicates their relative underrepresentation in cord blood (CB), likely explaining the clinical inadequacy of single CB units in rescuing hematopoiesis in myelosuppressed adult patients. We here describe that exposure of CD34(+) CB cells ex vivo to growth factors that markedly expand their numbers and colony-forming cell content also rapidly (within 24 hours) produce a significant and sustained net loss of their original short-term repopulating activity. This loss of short-term in vivo repopulating activity affects early platelet production faster than early neutrophil output, consistent with their origin from distinct input populations. Moreover, this growth factor-mediated loss is not abrogated by published strategies to increase progenitor homing despite evidence that the effect on rapid neutrophil production is paralleled in time and amount by a loss of the homing of their committed clonogenic precursors to the bone marrow. These results highlight the inability of in vitro or phenotype assessments to reliably predict clinical engraftment kinetics of cultured CB cells.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.463

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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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 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

Citations13
Published2016
Admission routes2
Has abstractyes

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