Methylation of estrogens, obesity and breast cancer
Bibliographic record
Abstract
Methylation of catechol estrogens is catalyzed by catechol-O-methyltransferase. Synthesis and activity of this enzyme is encoded by the COMT gene. Downregulation of COMT expression is responsible for the risk of developing estrogen-dependent tumors. Obesity is a factor determining the overall methylation status in the body. There are two main types of adipose tissue differing in their functional and metabolic characteristics, as well as the microscopic structure: white adipose tissue (WAT) and brown adipose tissue (BAT). Lipolysis of WAT is controlled by hormone-sensitive lipase, which depends is catecholamine dependent. BAT is a special type of adipose tissue whose main function is to produce heat. Activation of β3-adrenergic receptors by catecholamines, both at the central and peripheral levels, is the primary mechanism regulating thermogenesis in mature BAT. Obese patients develop adipose tissue hypoxia, as well as WAT and BAT dysfunction. Adrenergic stimulation of thermogenesis is unclaimed because of «whitening» of brown adipocytes, which manifests itself as degradation of mitochondria. Redirection of stimulation of hormone-sensitive lipase by catecholamines to WAT and the increased need to enhance COMT expression are the potential consequences of modifying the BAT metabolism. Estrogens are natural modulators of lipolysis (as they selectively affect activity of hormone-sensitive lipase) and regulators of BAT thermogenesis. Obesity is accompanied by elevated synthesis of estrone. However, in postmenopausal women it is characterized by a decrease in the total mass and activity of BAT. The role of BAT in the progression or inhibition of growth of the estrogen-dependent tumor tissue at premenopausal and postmenopausal age has not been studied yet and is of interest to researchers. The possible correlation between the activity of brown adipocytes and the COMT expression level is discussed in the context of the risk of developing benign breast dysplasia and cancer.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.006 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".