Euglycemia is affected by stress defense factor hepatocyte NRF1, but not NRF2
Bibliographic record
Abstract
Hepatocyte stress signaling has been established to alter glucose metabolism and impair systemic glucose homeostasis. In contrast, the role of stress defenses in the control of glucose homeostasis is less understood. Nuclear factor erythroid 2 related factor-1 (NRF1) and -2 (NRF2) are transcription factors that promote stress defense and can exert hepatocyte stress defense programming via complementary gene regulation. To identify whether there are independent or complementary roles of these factors in hepatocytes on glucose homeostasis, we investigated the effect of adult-onset, hepatocyte-specific deletion of NRF1, NRF2, or both on glycemia in mice fed 1-3 weeks with a mildly stressful diet enriched with fat, fructose, and cholesterol. Compared to respective control, NRF1 deficiency and combined deficiency reduced glycemia, in some cases resulting in hypoglycemia, whereas there was no effect of NRF2 deficiency. However, reduced glycemia in NRF1 deficiency did not occur in the leptin-deficient mouse model of obesity and diabetes, suggesting hepatocyte NRF1 support defenses that counteract hypoglycemia but does not promote hyperglycemia. Consistent with this, NRF1 deficiency was associated with reduced liver glycogen and glycogen synthase expression as well as marked alteration to circulating level of glycemia-influencing hormones, growth hormone and insulin-like growth factor-1 (IGF1). Overall, we identify a role for hepatocyte NRF1 in modulating glucose homeostasis, which may be linked to liver glycogen storage and the growth hormone/IGF1 axis.
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 | 0.000 |
| 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".