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Differential Expression of Markers of Apoptosis in Platelets From Children with Acute Versus Chronic Immune Thrombocytopenia

2012· article· en· W2599091064 on OpenAlexaff
Markus Schmugge, Jeanine Winkler, Sabine Kroiss, Margaret L. Rand, Oliver Speer

Bibliographic record

VenueBlood · 2012
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsPlateletMedicineImmunologyGastroenterologyFlow cytometryPhosphatidylserineThrombopoietinInternal medicineApoptosisImmune thrombocytopeniaPlatelet activationBiology

Abstract

fetched live from OpenAlex

Abstract Abstract 1092 Immune thrombocytopenia (ITP) is a common hematologic disorder in children that can lead to severe bleeding symptoms. In most children with ITP, platelet counts return to normal after weeks to months (acute ITP), however, in about 10–20% of patients, the low platelet counts persist for 12 months or longer (chronic ITP). No biological markers have been identified to predict the duration and/or severity of ITP. We have previously reported enhanced platelet apoptosis at the time of diagnosis of ITP in pediatric patients that was ameliorated after intravenous immunoglobulin (IVIg) (Winkler et al, Br J Haematol 2012;156:508–15). We have now investigated differences in the expression of markers of apoptosis in platelets from children with acute vs. chronic ITP. 23 pediatric patients with acute ITP were investigated and compared to 10 children with chronic ITP. In addition, from the initial group of acute ITP, 6 children developed chronic ITP and initial- and follow up results were compared. Markers of apoptosis, including activated caspase-3, caspase-8 and caspase-9, phosphatidylserine (PS) exposure, dissipation of the mitochondrial inner membrane potential (ΔYm), as well as microparticle formation, were analyzed by flow cytometry. At ITP diagnosis, the mean platelet count was 4×109/L (range: 1–14×109/L) and the proportions of platelets with activated caspase-3 (median, range) (20.4%, 1.4–64%, n=23), caspase-8 (16.7%, 1.0 – 42.7%, n=12) and caspase-9 (13.1%, 5 – 59.6%, n=12) were increased. While a higher mean platelet count was found in 10 children with chronic ITP (25×109/L, 4–60G/l), the proportions of platelets with activated caspase-3 (2.6%, 0.3–11.6%), caspase-8 (5.6%, 0.3–12.6%) and caspase-9 (4.3%, 0.3–15.6%) were significantly lower compared to children at diagnosis of acute ITP, but still higher compared to healthy controls (0.95%, 0 – 5.9%; 0.7%, 0.04 – 2.3% and 0.4%, 0.03 – 2.16%, respectively; n = 11) and children with thrombocytopenia due to chemotherapy (1.3%, 0.1 – 4.6%; 1.8%, 0.9 – 3.8%; and 1.8%, 0.6 – 2.9%, respectively; n = 11). Among the 6 children (26%) who developed chronic ITP from the initial cohort of 23 children, a mean platelet count of 29 (3–67×109/L) at >12 months after initial presentation was found. Except for one, none of the children with chronic ITP presented with bleeding symptoms; the median bleeding score was 2.5 (range: 1–3) at diagnosis and 1 (range: 0–2.5) at follow up during chronic ITP. In 5 of the children who developed chronic ITP, caspase activation was studied at diagnosis and at follow up >12 months after. In all of them, the proportions of platelets with activated caspase-3 (1.6%, 0.3–3.3%), caspase-8 (4.8%, 0.3–6.3%) and caspase-9 (4.1%, 0.3–7%) were found to be significantly lower at follow up compared to the time at diagnosis. In conclusion, although platelet apoptosis is enhanced at the time of diagnosis of pediatric ITP, this is not observed in platelets from patients with chronic ITP to the same degree. Further studies are needed to investigate other markers of apoptosis in platelets in the course of acute and chronic ITP. Disclosures: No relevant conflicts of interest to declare.

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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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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

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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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".

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Citations0
Published2012
Admission routes1
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