Paul Gosselin, Fuite de l’Absolu. Observations cyniques sur l’Occident post-moderne (Volume II). Québec, Samizdat, 2008, 572 p.
Bibliographic record
Abstract
Human Islet Amyloid Polypeptide or amylin is a neuroendocrine peptide with important endocrine and paracrine functions. Excessive production and accumulation of human amylin in the pancreas can lead to its aggregation and apoptosis of islet β-cells. Amylin has been shown to function within the central nervous system to decrease food intake, and more recently, it has been revealed that amylin is directly transcribed from neurons of the central nervous system, including the hypothalamus, arcuate nucleus, medial preoptic area, and nucleus accumbens. These findings alter the current model of how amylin targets the nervous system, and as a result may lead to obesity and type II diabetes mellitus. Here we set out to use Caenorhabditis elegans as an inducible in vivo model system to study the effects of amylin overexpression in tissues that include the nervous system. We profiled the transcriptional changes in transgenic animals expressing human amylin through RNA-seq. Using this genome-wide approach our results revealed for the first time that expression of human amylin in tissues including the nervous system induce diverse physiological responses in various signaling pathways. From our characterization of transgenic C. elegans animals expressing human amylin, we also observed specific defects in neural developmental programs as well as sensory behavior. Taken together, our data demonstrate the utility of using C. elegans as a valuable in vivo model to study human amylin toxicity.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".