Spontaneously hypertensive rats: further evaluation of age-related memory performance and cholinergic marker expression
Bibliographic record
Abstract
OBJECTIVE: The spontaneously hypertensive rat (SHR), often used to study cardiovascular disease processes, may also be utilized to model certain central nervous system changes associated with memory disorders. Previous work in our laboratory indicated that central nicotinic acetylcholine receptors are markedly diminished and that memory-related task performance is impaired in this rodent phenotype. Due to the well-documented importance of the central cholinergic system to memory processes and its vulnerability to the effects of aging, it was of interest to measure other cholinergic markers and to further evaluate memory function in older SHRs. METHOD: Radial arm maze performance was used to assess working memory, quantitative receptor autoradiography with [3H]-pirenzipine, [3H]-AFDX-384 and [3H]-epibatidine (combined with cytisine) was used to determine the densities of muscarinic-M1 and -M2 and nicotinic cholinergic alpha3 receptors, respectively. Immunoblotting experiments were also used to determine the expression of the presynaptic cholinergic markers, choline acetyltransferase and the vesicular acetylcholine transporter. RESULTS: Radial arm maze performance was impaired in hypertensive (compared with normotensive Wistar and Wistar-Kyoto) rats, regardless of age. M1 binding was increased in frontal and prefrontal cortical areas in SHR (p < 0.05), whereas M2 densities were higher in the hypertensive phenotype in the caudate putamen. A lower expression of alpha3-containing nicotinic receptors was observed in the superior colliculus in SHRs. Age-related differences in the expression of the vesicular acetylcholine transporter were noted in the hippocampus. CONCLUSION: The SHR may be useful to model some aspects (particularly hypertension-related) of memory disorders, especially those in which cholinergic function is altered.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
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".