Caenorhabditis elegans Model to Test the Effect of Pharmacological Drugs on IGF-1/insulin Signalling Pathway
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.
Bibliographic record
Abstract
Many pharmacological drugs have been reported to alter insulin signalling in the body resulting in altered blood glucose levels. Drug induced hypoglycaemic or hyperglycaemic effect may lead to adverse effects especially in diabetic patients. Treating ailments of diabetic patients has always remained challenging for the clinicians due to unexplored effect of many drugs on insulin signalling. Insulin/insulin like growth factor-1 signalling (IIS) pathway is highly conserved between Caenorhabditis elegans and humans. In both C. elegans and humans IIS pathway is involved in regulating fat storage. C. elegans dauer formation is regulated primarily via IIS pathway and is triggered by adverse environmental conditions. In this paper we proposed the use of C. elegans dauer formation as a vital strategy to check the drug interaction with IIS. Activity of DAF-2 and DAF-16 are the key regulators of IIS in C. elegans. Aspirin, silymarin and pravastatin drugs have been reported to alter blood glucose levels using animal models and clinical reports. To test the efficacy of our model we tested the effect of these drugs on IIS by using dauer formation as a read-out. Our results report that aspirin and silymarin decreased dauer formation whereas pravastatin enhanced it; the effect was mediated through daf-16 signalling. Our results thus report that C. elegans dauer formation can be used as an effective readout for drug and IIS pathway interaction.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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