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Record W2011198655 · doi:10.1097/fpc.0b013e328341041c

Identification of genetic factors associated with susceptibility to angiotensin-converting enzyme inhibitors-induced cough

2010· article· en· W2011198655 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePharmacogenetics and Genomics · 2010
Typearticle
Languageen
FieldMedicine
TopicRespiratory and Cough-Related Research
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsMedicineAngiotensin-converting enzymeInternal medicineOdds ratioHaplotypeSildenafilPharmacogeneticsEtiologyPharmacologyEndocrinologyBioinformaticsGenotypeGeneticsBiologyGeneBlood pressure

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVE: Angiotensin-converting enzyme inhibitors (ACEi) are the first selected drugs for hypertensive patients because of its protective properties against heart and kidney diseases. Persistent cough is a common adverse reaction associated with ACEi, which can bind to the treatment cessation, but its etiology remains an unresolved issue. The most accepted mechanism is that the inhibition of ACEi increases kinins levels, resulting in the activation of proinflammatory mechanisms and nitric oxide generation. However, relatively little is known about the genetic susceptibility to ACEi-induced cough in hypertensive patients. METHODS: We carried out a monogenic association analysis of 39 polymorphisms and haplotypes in genes encoding key proteins related to ACEi activity with the occurrence of ACEi-induced cough. We also carried out a digenic association analysis and investigated the existence of epistatic interactions between the analyzed polymorphisms using a logistic regression procedure. Finally, we investigated the predictive value of the identified associations for ACEi-induced cough. RESULTS: We found that genetic polymorphisms in MME [rs2016848, P=0.002, odds ratio (OR)=1.795], BDKRB2 (rs8012552, P=0.012, OR=1.609), PTGER3 (rs11209716, P=0.002, OR=0.565), and ACE (rs4344) genes are associated with ACEi-related cough. For the latter, the effect is sex specific, having a protective effect in males (P=0.027, OR=0.560) and increasing the risk in females (P=0.031, OR=1.847). In addition, genetic interactions between peptidases involved in kinins levels (CPN1 and XPNPEP1) and proteins related to prostaglandin metabolism (PTGIS and PTGIR) strongly modify the risk of ACEi-induced cough presentation (0.102≤OR≤0.384 for protective combinations and 2.732≤OR≤7.216 for risk combinations). CONCLUSION: These results are consistent with the hypothesis that the mechanism of cough is related to the accumulation of bradykinin, substance P, and prostaglandins.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.599

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)0.0000.000

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 head0.036
GPT teacher head0.310
Teacher spread0.274 · 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