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Abstract 4138731: Clonal Hematopoiesis of Indeterminant Potential is Associated with Pulmonary Arterial Hypertension

2024· article· en· W4404341231 on OpenAlexaff
Isaac Emon, Ruaa Al‐Qazazi, Michael J. Rauh, Caitlyn Vlasschaert, Benjamin P. Ott, Amy J. M. McNaughton, François Potus, Michael W. Pauciulo, Alexander G. Bick, William C. Nichols, Wendy Chung, Stephen L. Archer

Bibliographic record

VenueCirculation · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiomarkers in Disease Mechanisms
Canadian institutionsUniversité LavalQueen's University
Fundersnot available
KeywordsMedicinePulmonary hypertensionCardiologyHaematopoiesisInternal medicineStem cellGenetics

Abstract

fetched live from OpenAlex

Background: Pulmonary Arterial Hypertension (PAH) is a fatal cardiopulmonary disorder characterized by adverse vascular remodelling of small pulmonary arteries, which increases resistance and demand on the right ventricle (RV), ultimately leading to RV fibrosis and failure. Emerging evidence suggests that inflammation plays a crucial role in PAH pathogenesis. Here, we study Clonal Hematopoiesis of Indeterminate Potential (CHIP), a disorder characterized by somatic mutations in genes such as DNMT3A and TET2 , that promotes an inflammatory phenotype, in the development of PAH. Methods: We performed deep, targeted panel sequencing on 1659 PAH patients from the PAH Biobank and 3644 controls (3401 Vanderbilt University Biorepository patients and 243 participants recruited by the Queen’s Genomics Centre at Ongwanada). Variants in known CHIP genes expressed at a variant allele frequency (VAF) > 2% were classified as CHIP. Genes with a VAF > 25% and <50% were considered CHIP if located in reported CHIP hotspot regions. The prevalence of CHIP mutations was compared between controls and PAH patients. Logistic regression was used for statistical analysis. Results: We identified 242 CHIP variants in the 1659 PAH patients. DNMT3A was the most mutated gene (116/242 = 48%), followed by TET2 (46/242=19%). After adjusting for age and sex, we identified a significant association between all CHIP variants combined and PAH (OR: 23.35 [7.67, 71.03]; p<0.0001). Further, DNMT3A CHIP (OR: 25.44 [5.37, 120.40]; p<0.0001), non- DNMT3A CHIP (OR: 26.80 [5.56, 129.23]; p<0.0001) and TET2 CHIP (OR: 13.69 [1.29, 145.30]; p=0.03) were all associated with PAH. A higher proportion of PAH patients under the age of 70 were found to have CHIP variants compared to controls and this was significant for individuals between 60-69 years of age (p=0.037). While there was a 3.8:1 female-to-male ratio of PAH patients, there was a 5.8:1 female-to-male preponderance of DNMT3A variants (p=0.039) (4.3:1 for all CHIP; p=ns), suggesting DNMT3A variants are more common in female patients. The presence of CHIP variants had no significant effect on PAH patient 10-year survival. Conclusion: This research reveals a significant association between CHIP variants, specifically in DNMT3A and TET2, and PAH. The prevalence of CHIP is higher in PAH patients aged 40 to 70 compared to controls and is more common in female patients. These findings suggest that CHIP is a significant risk factor for the development of PAH.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.214
Teacher spread0.202 · 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 designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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