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Incomplete Platelet Dense Granule Formation in Normal Neonates.

2007· article· en· W2566356804 on OpenAlexaff
Walter H.A. Kahr, Shoma Baidya, Animitra Das, Ayca Toprak, Hilary Christensen, Fanny Meulman, Margaret L. Rand, Fred G. Pluthero, David Chitayat, Prakesh S. Shah, Victor S. Blanchette

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsMount Sinai HospitalHospital for Sick Children
Fundersnot available
KeywordsPlateletMean platelet volumeCord bloodDense granuleGranule (geology)AndrologyHemostasisPlatelet activationMedicinePathologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Abstract Platelets are important in maintaining hemostasis in newborns, where bleeding can arise from abnormal platelet function and/or thrombocytopenia. It is well established that plasma coagulation factor concentrations are lower in neonates compared to children and adults, but less is known about the development and function of neonatal platelets. It has been postulated that platelets from neonates, and to a greater extend from premature neonates, are dysfunctional due to low dense granule counts (Blood2006;108:331a), however, other studies have shown normal neonate platelet function. Our previous studies indicated a slightly decreased number of dense granules per platelet in neonates (Blood2005;106:4159–4156). We have now extended these studies to a larger cohort of 19 normal neonatal cord blood samples (gestational age 37.5–40 weeks) from planned Caesarean sections, which were analyzed under optimal sample handling conditions and compared to platelets from 10 children (age 8–10 years). 50 platelets from each subject were evaluated for dense granule content utilizing whole mount and thin section electron microscopy (EM) for the quantification of dense granules (detected via their electron-dense calcium content) and ultrastructural assessment. A subset of samples was tested via flow cytometry for P-selectin expression as a measure of platelet activation, and platelet structural integrity was also assessed using thin section EM. Our data revealed that platelets in neonatal cord blood had a mean dense granule count of 2.3 (SD=2.2) per platelet, compared to 4.4 dense granules per platelet (SD=2.7) in blood from older children; t-test comparisons showed the difference between these groups to be highly significant (P<0.001). Interestingly, 22% of cord blood platelets contained no measurable dense granules, whereas only 3% of platelets from older children where devoid of dense granules. We suspected that the mean dense granule counts of <1 per platelet in neonatal cord blood reported by others may have arisen due to high levels of platelet activation during sample acquisition or handling. In our samples platelet activation as measured by P-selectin expression was similar in both populations and did not exceed 7.5%, and platelet morphology as assessed by thin section EM was also comparable. Our studies confirm that neonatal cord blood platelets contain fewer recognizable dense granules than those found in older children. Two possible explanations for this observation are: normal numbers of dense granules are present in neonatal platelets, but a subset cannot be detected via EM owing to insufficient calcium uptake; there are fewer dense granules in neonatal platelets owing to peculiarities in the development of megakaryocytes, where recent studies have suggested that dense granules originate by an active transport mechanism and move into proplatelets. These possibilities point to the usefulness of studying fetal and neonatal megakaryopoiesis.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.220
Teacher spread0.213 · 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 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

Citations0
Published2007
Admission routes1
Has abstractyes

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