Assessment of the frequency of the transforming growth factor beta-1 sequence polymorphisms in patients with alcohol dependence syndrome
Why this work is in the frame
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Bibliographic record
Abstract
Alcohol abuse is one of the most significant factors in the development of liver fibrosis. The pathomechanism of liver fibrosis is the same regardless of its etiology. Fibrosis is a sign of an imbalance between the synthesis of the extracellular matrix components and their degradation. Among the many cytokines that affect hepatic stellate cell activation it seems that transforming growth factor beta (TGF-β) is the most significant, either as the direct factor stimulating polymerase chain reaction (HSC) proliferation and transformation into myofibroblasts, or as the direct factor causing an increase in the activity of genes responsible for the synthesis of extracellular matrix components. The aim of the study was to reveal possible dependencies and differences between the presence of certain alleles of the TGF-β1 gene and its blood level in the study and control group. Blood samples were obtained from 39 patients, the control group consisted of 21 patients. The results obtained in the course of this study showed no statistically significant differences between the frequencies of particular polymorphisms. In the case of haplotype frequencies, insignificant differences were found for the algorithm Excoffier-Laval-Balding predicted haplotypes while one significant difference between the study and control groups was detected in case of the TC haplotype frequency predicted using the Expectation-Maximization algorithm. However, the difference in frequency of TC haplotype predicted by both algorithms was not significant. Genetic analysis of two single nucleotide polymorphisms (SNPs) in exon I of the TGF-β1 gene did not show significant differences between the occurrence of particular polymorphisms and haplotypes in the populations under study.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it