Mode of Actions of Bile Acids in Avoidance of Colorectal Cancer Development; and their Therapeutic Applications in Cancers - A Narrative Review
Bibliographic record
Abstract
Bile Acids (BAs) possess a considerably significant part in the form of emulsifiers in digestion besides absorption of dietary lipids. BAs represent amphiphilic molecules, that are primary metabolites formed from cholesterol by the aid of enzymes acting on cholesterol. Earlier BAs were believed to be tumor repressors. The tumor repressive actions of BAs are correlated with programmed cell death (PCD). Furthermore, dependent on this observation different Synthetic BAs products have been generated along with their utilization regarding induction of PCD (in the form of apoptosis, autophagy or necroptosis in variable kinds of human cancers. Thus we conducted a narrative review till August 2022. The present article might form the basis of generationof such innovative therapies even for cancers/tumors that are cisplatin resistant. With time these therapies might be used for the treatment of neurodegenerative diseases (NDD), amyotrophic sclerosis, and numerous metabolic and haematological diseases as described for use of TUDCA.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".