Preliminary analysis of the metabolic and physical activity profiles of mice lacking the <i>slc43a3</i> -encoded equilibrative nucleobase transporter 1
Bibliographic record
Abstract
Abstract SLC43A3 encodes for a membrane transporter selective for purine nucleobases (equilibrative nucleoside transporter 1; ENBT1). Adenine, an endogenous substrate for ENBT1, plays an important role in many biochemical and physiological processes, including cellular energy metabolism. To investigate how the loss of ENBT1 impacts these processes, we generated a slc43a3 -null (global; KO) mouse model. Metabolic function, physical activity, and food and water consumption were assessed in male and female wild-type (WT) and KO mice (age 10-12 weeks) for a 66-hour period (12 hr light/dark cycle). Blood pressure and heart rate of each group of mice were also assessed using a rodent tail cuff method. Female KO mice showed a significant decrease in oxygen consumption and carbon dioxide generation with no change in RER, relative to female WT mice. This was accompanied by a significant 4-hour negative phase-shift in circadian rhythm in the metabolic and activity measures in the female, but not male, KO mice. Male KO mice, in contrast, displayed a significant decrease in rearing activity and blood pressure, and an increase in metabolic expenditure relative to WT mice. It may be concluded that loss of slc43a3 -encoded ENBT1 impacts numerous measures of activity in mice, with female mice impacted more significantly than male mice. This may reflect disruption of purinergic processes associated with energy metabolism coincident with changes in adenine availability. The results of this study also imply an interaction between estrogen and adenine metabolism in the regulation of circadian rhythms.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".