XBP-1s Is Linked to Suppressed Gluconeogenesis in the Ebb Phase of Burn Injury
Bibliographic record
Abstract
The first 24 h following burn injury is known as the ebb phase and is characterized by a depressed metabolic rate. While the postburn ebb phase has been well described, the molecular mechanisms underlying this response are poorly understood. The endoplasmic reticulum (ER) regulates metabolic rate by maintaining glucose homeostasis through the hepatic ER stress response. We have shown that burn injury leads to ER stress in the liver during the first 24 h following thermal injury. However, whether ER stress is linked to the metabolic responses during the ebb phase of burn injury is poorly understood. Here, we show in an animal model that burn induces activation of activating transcription factor 6 (ATF6) and inositol requiring enzyme-1 (IRE-1) and this leads to increased expression of spliced X-box binding protein-1 (XBP-1s) messenger ribonucleic acid (mRNA) during the ebb phase. This is associated with increased expression of XBP-1 target genes and downregulation of the key gluconeogenic enzyme glucose-6-phosphatase (G6Pase). We conclude that upregulation of the ER stress response after burn injury is linked to attenuated gluconeogenesis and sustained glucose tolerance in the postburn ebb phase.
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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".