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ABCA1 gene promoter methylation and sudden cardiac death

2021· article· en· W3126079253 on OpenAlexaff
А. А. Иванова, А. А. Гуражева, E. I. Akinshina, С. В. Максимова, Sofia Malyutina, В. П. Новоселов, И. А. Родина, О. В. Хамович

Bibliographic record

VenueBulletin of Siberian Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsMethylationSudden deathSudden cardiac deathPromoterGeneDNA methylationMedicinePolymerase chain reactionInternal medicineABCA1PathologicalCardiologyBiologyGene expressionGenetics

Abstract

fetched live from OpenAlex

Aim . A study of the association of the methylation of the promoter of the ABCA1 gene with sudden cardiac death (SCD). Materials and methods . The study design is based on the case-control principle. The SCD group included 150 men (mean age (46.7 ± 9.2) years) who died of sudden cardiac death according to forensic medical examination data (the main pathological diagnoses are acute circulatory failure, acute coronary insufficiency). The control group included 150 men (mean age (42.6 ± 1.2) years) who died suddenly, but not due to cardiovascular pathology. DNA was isolated by phenol-chloroform extraction from myocardial tissue. The methylation status of the ABCA1 gene promoter was assessed by methyl-specific polymerase chain reaction. The results obtained were statistically processed in SPSS 16.0 using Pearson’s test and Fisher’s test with Yates’ correction for continuity. P < 0.05 was used as a level of significance. Results . Comparing the groups revealed statistically significant differences in the methylation status of the gene promoter ( p = 0.015). In the SCD group, the proportion of individuals whose ABCA1 gene promoter is methylated is statistically significantly higher compared to the control group ( p = 0.020; OR = 5.86; 95% CI (1.28–26.89)). Conclusion. Methylation of the promoter of the ABCA1 gene is associated with sudden cardiac death.

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 categoriesInsufficient payload (model declined to judge)
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 score0.780
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.018
GPT teacher head0.261
Teacher spread0.243 · 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.

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".

Quick stats

Citations4
Published2021
Admission routes1
Has abstractyes

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