Age-Related Decline in Striatal D <sub>2</sub> -Dopamine Receptors Is Subject to ‘Economic Correction’
Bibliographic record
Abstract
We have previously reported a correlation between the number (Bmax) of striatal D2-dopamine receptors in youth and the magnitude of the decrease to the 40th to 60th week of age. This correlation was observed in five inbred strains of mice, which differ over a 2-fold range in youthful Bmax. To determine the extent to which this correlation can predict changes in strains, other than those so far examined, we measured the binding of [3H]spiperone to striatal membranes in two additional strains (MRL/Mp-++ and DBA/2NNia), in one strain previously tested, C57BL/6, but now maintained in pathogen-free conditions (C57BL/6NNia), and in hybrids (C6D2F1) of C57BL/6NNia and DBA/2NNia mice. The results were as expected from the correlation observed with other strains; that is, the magnitude of decline in Bmax with age is correlated with the density of receptors in youth. To test the stability of these age-related changes, we examined the effect of feeding diets with high (4.5) and low (0.2) polyunsaturated to saturated fatty acid (P/S) ratios to SJL/J and MRL/Mp-++ mice and found both receptor density and affinity and their age-related change to be independent of the dietary P/S ratio. In conclusion, our data are consistent with 'economic correction', i.e. with a direct correlation between youthful quantity of striatal D2-dopamine receptors and subsequent extent of decrease with aging.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.008 |
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".