Mediators of cytokine-induced insulin resistance in obesity and other inflammatory settings
Bibliographic record
Abstract
Increased release and action of proinflammatory cytokines are thought to be responsible for the occurrence of insulin resistance in inflammatory and metabolic diseases including obesity-linked diabetes. Recent work has identified several signal transduction pathways activated by cytokines which can impede on insulin receptor signaling in skeletal muscle, liver, and adipose cells. A majority of these complex and interrelated pathways appear to converge at the level of insulin receptor substrate-1 by promoting its serine phosphorylation in order to mediate heterologous inhibition of insulin receptor substrate-1 signaling which, in turn, counterregulates the insulin response. Other possible mechanisms of insulin resistance in cytokine-treated cells include nitration of insulin receptor substrate-1 tyrosine residues by nitric oxide-derived reactive nitrogen species as well as direct interference with insulin signaling molecules further downstream such as protein kinase B/Akt. A detailed knowledge of the complex network of intracellular signaling pathways triggered by cytokines may be instrumental in the development of new approaches to prevent insulin resistance in acute and chronic inflammatory settings.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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; a candidate call from one teacher head, 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".