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Record W4407294046 · doi:10.1016/j.chest.2024.09.002

Ineffectiveness of Sotatercept Therapy in a Patient With Heritable Pulmonary Arterial Hypertension Associated With a Previously Unreported Missense Variant in GDF2, the Gene for Bone Morphogenic Protein-9

2025· article· en· W4407294046 on OpenAlexaff
David Langleben, Lyda Lesenko, Benjamin D. Fox, Shaun Eintracht, William D. Foulkes, David S. Rosenblatt

Bibliographic record

VenueCHEST Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsMcGill UniversityJewish General Hospital
FundersAcceleron
KeywordsMissense mutationBone morphogenetic proteinMedicinePulmonary hypertensionGeneInternal medicineGenetic enhancementCardiologyGeneticsBiologyMutation

Abstract

fetched live from OpenAlex

Pulmonary arterial hypertension (PAH) frequently is associated with an imbalance in antiproliferative bone morphogenic protein-2 receptor signaling and proproliferative type-II activin receptor signaling, favoring the latter. Sotatercept is an activin ligand trap that reduces the dominant detrimental activin signaling and provides clinical benefit. We report a patient with heritable PAH in whom sotatercept had neither positive nor negative effects; we relate that fact to his PAH being caused by a previously unreported variant of unknown significance (c.1276T>C, p.[Cys426Arg]) in the GDF2 gene. GDF2 encodes bone morphogenic protein type-9, the presence of which is required for proper functioning of the pulmonary microvasculature. Low levels of functionally active bone morphogenic protein type-9 contribute to PAH. As we enter an era of precision medicine for patients with PAH with increasingly costly therapies, genetic screening may direct appropriate therapy and limit the use of expensive but likely ineffective therapies.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
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 head0.020
GPT teacher head0.257
Teacher spread0.236 · 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 designCase report
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
Published2025
Admission routes1
Has abstractyes

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