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Variants in chondroitin sulfate metabolism genes in thrombotic storm

2017· article· en· W2769754133 on OpenAlexafffund
Karen Nuytemans, Thomas L. Ortel, Lissette Gomez, Natalia K. Hofmann, Natalie Alves, Nicole Dueker, Ashley Beecham, Patrice L. Whitehead, Susan Hahn Estabrooks, Craig S. Kitchens, Doruk Erkan, Leonardo R. Brandão, Allison James, Roshni Kulkarni, Marilyn J. Manco‐Johnson, Margaret A. Pericak‐Vance, Jeffery M. Vance

Bibliographic record

VenueThrombosis Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProteoglycans and glycosaminoglycans research
Canadian institutionsHospital for Sick Children
FundersWeill Cornell Medical CollegeHussman FoundationHospital for Special SurgeryMichigan State UniversityHospital for Sick ChildrenCollege of Engineering, Michigan State UniversityUniversity of Miami
KeywordsChondroitin sulfateMetabolismSulfateStormGeneChemistryBiochemistryGlycosaminoglycanGeography

Abstract

fetched live from OpenAlex

INTRODUCTION: Thrombotic storm (TS) presents as a severe, acute thrombotic phenotype, characterized by multiple clotting events and frequently affecting younger adults. Understanding the extensive hypercoagulation of an extreme phenotype as TS will also provide insight into the pathogenesis of a wider spectrum of thrombotic disorders. MATERIAL AND METHODS: We completed whole exome sequencing on 26 TS patients, including 1 multiplex family, 13 trios and 12 isolated TS patients. We examined both dominant and recessive inheritance models for known thrombotic factors as well as performed a genome-wide screen. Identified genes of interest in the family and trios were screened in the remaining TS patients. Variants were filtered on frequency (<5% in 1000 genomes), conservation and function in gene and were annotated for effect on protein and overall functionality. RESULTS: We observed an accumulation of variants in genes linked to chondroitin sulfate (CS), but not heparan sulfate metabolism. Sixteen conserved, rare missense and nonsense variants in genes involved in CS metabolism (CHPF, CHPF2, CHST3, CHST12, CHST15, SLC26A2, PAPSS2, STAB2) were identified in over one-third of the TS patients. In contrast, we identified only seven variants in known thrombosis genes (including FV Leiden). CONCLUSIONS: As CS has multiple functions in the glycocalyx protecting the endothelial cells, reduced availability of CS could diminish the normal control mechanisms for blood coagulation, making these CS metabolism genes strong potential risk factors for TS. Overall, no single gene was identified with strong evidence for TS causality; however, our data suggest TS is mediated by an accumulation of rare pro-thrombotic risk factors.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.767
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.104
GPT teacher head0.414
Teacher spread0.311 · 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 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

Citations8
Published2017
Admission routes2
Has abstractyes

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