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Record W2561952483 · doi:10.1093/ajcp/143.suppl1.053

89: Development of a Novel Micro LC-MS/MS Method for Assay of Agonist-Induced Release of Endogenous Serotonin from Human Platelets

2015· article· en· W2561952483 on OpenAlexaboutno aff
Zhiyun Cao, Ina Sandeli, Edward Ky Leung, Jonathan Miller, Kiang-Teck J. Yeo

Bibliographic record

VenueAmerican Journal of Clinical Pathology · 2015
Typearticle
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsnot available
Fundersnot available
KeywordsEndogenySerotoninAgonistPlateletPharmacologyChemistryCell biologyReceptorMedicineImmunologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

Objective: Assessment of platelet function testing is often limited when platelet counts are low, as typically found in pediatric and thrombocytopenic populations. We aim to develop a high sensitive method for measuring the release of endogenous serotonin by mass spectrometry to address this limitation. Methods: 100 μL citrated blood was diluted 10-fold to 1.0 mL with Modified HEPES/Tyrode Buffer (MTB). 80 μL of the diluted blood was then incubated with a platelet agonist, such as ADP, unstirred, in a total volume of 100 μL for 10 minutes at 37°C. Following incubation, the sample was centrifuged to obtain platelet releasate (supernatant fraction) for further analysis. An unstimulated blood sample was lysed with perchloric acid for determination of total platelet serotonin content. Deuterated serotonin (C/D/N isotope, Quebec) was used as an internal standard (IS). Calibrators were prepared by spiking serotonin standards (Sigma) into MTB. IS and perchloric acid were added to the calibrators and samples, and were extracted with reverse phase cartridges. The eluents were dried under nitrogen, and the residues were dissolved in 50µL of 1:9 methanol/water (v/v) prior to an injection into the MicroLC-6500 QTrap (SCIEX, MA). Separation on a micro C18 column (SCIEX, MA) with a gradient of 2-35% methanol (0.1% formic acid) and H2O (0.1% formic acid) at a flow rate of 25 µL/min. Results: Serotonin and IS were detected in positive mode using the following transitions: serotonin: 177/160 (quantifier), 177/132 (qualifier); IS: 184/164. Our method showed good linearity over a concentration range of 9-869 pg/mL (r2 > 0.999). Recovery study using known standards showed excellent recovery (90%-110%). Within-day precision study showed CVs < 15% for the 3 level QCs. ADP-induced serotonin release from platelets typically reached a maximal level of approximately 50-150 pg/106 platelets at a concentration of 10 μmol/L ADP. Conclusions: The approach we have developed permits extensive study of platelet-dense granule secretion from extremely small blood samples. Virtually all the platelet-stimulating agents routinely used in classic platelet aggregation studies can be employed in parallel, and even in multiple concentrations, from just 100 μL of citrated blood. Moreover, by the approach of assaying endogenous platelet serotonin, radioactivity can be completely avoided. Finally, we anticipate that the high sensitivity of this method should significantly extend the opportunity to assess platelet-dense granule secretion in thrombocytopenic patients and in the pediatric population.

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)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.219
GPT teacher head0.446
Teacher spread0.226 · 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
GenreMethods

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
Published2015
Admission routes1
Has abstractyes

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