Substrate contribution to endogenous glucose production, insulin resistance and protein metablism in non-small cell lung cancer cachexia
Bibliographic record
Abstract
The loss of muscle mass and adipose tissue in cancer cachexia may be linked to increased rates of gluconeogenesis (GNG) and altered whole-body protein metabolism. This study measured the fractional contributions (%) of glycogen, glycerol and phophoenolpyruvate (PEP) to endogenous glucose production (EGP) using oral 2H2O in non-small cell lung cancer (NSCLC) patients and matched healthy control subjects. Additionally, 13C-leucine and 3H3-glucose tracers were used to measure whole-body protein turnover and glucose kinetics respectively during the fasting state and during a hyperinsulinemic euglycemic clamp. The rate of EGP and the fractional substrate contributions were not different between the NSCLC and control groups following a 17-hour fast. The majority of EGP came from equal contributions of PEP and glycogen, whereas glycerol contributed < 10%. NSCLC patients were insulin resistant; their lesser clamp glucose uptake was not correlated to GNG flux, but rates of protein oxidation were, indicating less protein retention.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".