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The Association Between SHP-2 Mutations and Platelet Function in Noonan Syndrome.

2008· article· en· W2541300034 on OpenAlexaff
Jayson Stoffman, Archibald McNicol, Teresa Zelinski, Bernard N. Chodirker, Sara J. Israels

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Tyrosine Phosphatases
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPTPN11Noonan syndromeMissense mutationPlateletProtein tyrosine phosphataseMutationInternal medicinePlatelet disorderBiologyEndocrinologyMedicineCancer researchGeneticsGeneSignal transductionKRAS

Abstract

fetched live from OpenAlex

Abstract Noonan syndrome (NS) is an autosomal dominant disorder characterized by variable expression of multiple defects including short stature, facial dysmorphias, congenital heart defects, developmental delay, and hematological abnormalities. A bleeding tendency has been variably described in patients with NS; Factor XI deficiency and platelet function abnormalities are reported most frequently. Recently, germline missense mutations in the PTPN11 gene have been identified in up to 50% of individuals with NS. PTPN11 encodes the ubiquitously expressed cell-signaling mediator SHP-2, a non-transmembrane protein tyrosine phosphatase involved in the normal activation of the Ras-MAPK signaling cascade. SHP-2 has a pivotal role in cell proliferation, differentiation, and survival, but also modulates platelet responses to some stimuli. Some PTPN11 mutations lead to altered SHP-2 phosphatase activity, and have been shown to impact cardiac development in a mouse model of NS. This study examined the potential association among PTPN11 mutations, platelet function abnormalities, and platelet SHP-2 activity in patients with NS. Eighteen patients with a clinical diagnosis of NS were studied: 14 (78%) were female and the mean age was 20.7 years (range 4–56 years). A validated bleeding questionnaire was administered to each participant, and platelet aggregometry was performed on platelet-rich plasma according to standard clinical practice. SHP-2 was isolated by immunoprecipitation from agoniststimulated platelets and phosphatase activity measured spectrophotometrically. PTPN11 mutations were identified by dHPLC and defined by DNA sequencing in each participant to characterize the presence and the precise nature of a mutation associated with their NS. Seven (39%) participants were classified as bleeders on the basis of the questionnaire; of these, four had no hemostasis abnormality identified. One participant had mild Factor XI deficiency. Seven participants had abnormalities of platelet aggregation, and four participants had decreased platelet dense granule numbers and ATP release. PTPN11 mutations were identified in 12 (67%) participants: seven were the commonly described mutation in Exon 8; four members of a three-generation family had a previously described Exon 3 mutation; and one individual had a mutation in Exon 12 which is usually associated with LEOPARD syndrome. Mutations in other genes associated with NS were not evaluated in this study. Six patients with PTPN11 mutations were clinically classified as bleeders, but no correlation was found between PTPN11 mutation and agonist-induced platelet aggregation or SHP-2 phosphatase activity. Three patients with platelet function abnormalities had no PTPN11 mutation identified. Not all patients with NS have a clinical bleeding profile or platelet function abnormalities. Neither clinical bleeding history nor platelet function abnormalities correlated with PTPN11 mutations, suggesting that additional factors may be required for a bleeding phenotype associated with PTPN11 mutations. Mutations in other NS-associated genes may contribute to a bleeding phenotype. Abnormalities in platelet aggregometry could not be explained on the basis of SHP-2 activity, although it is possible that changes in enzyme activity downstream in the Ras-MAPK pathway may impact platelet function in some patients with NS. Ultimately, the identification of a molecular basis for the frequently observed platelet aggregation defects could provide a means to predict the risk of bleeding in patients with NS.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.208
Teacher spread0.201 · 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

Citations3
Published2008
Admission routes1
Has abstractyes

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