Antibodies against Extracellular Domains of alpha4 and alpha7 Subunits Alter the Levels of Nicotinic Receptors in the Mouse Brain and Affect Memory: Possible Relevance to Alzheimer's Pathology
Bibliographic record
Abstract
Nicotinic acetylcholine receptors (nAChRs) of α4β2 and α7 subtypes expressed in the brain neurons are involved in regulating memory and cognition. Their level is decreased upon several neurodegenerative disorders including Alzheimer's disease (AD), although the reasons for such a decrease are not completely understood. To test whether the nAChR-specific antibodies can affect the brain nAChRs and influence the behavior, we either immunized mice with recombinant extracellular domains of α4 and α7, subunits α4(1-209) and α7(1-208), or injected them with α7(1-208)-specific antibodies. A decrease of α4β2- and α7-nAChRs accompanied with an increase of α4β4-nAChRs in brain membranes of immunized mice was observed. Both α4(1-209)- and α7(1-208)-specific antibodies were detected in the brain membrane lysates of immunized mice. Antibody injection resulted in brain nAChR decrease only if mice were co-injected intraperitoneally with bacterial lipopolysaccharide. Brain sections of immunized mice were analyzed for the binding of [125I]-α-bungarotoxin and [125I]-epibatidine. A decrease in α-bungarotoxin binding in striatum (nucleus accumbens and caudate putamen) accompanied with an increase of epibatidine binding in the forebrain and caudate putamen was observed in mice immunized with either α4 or α7 nAChR domains compared to those immunized with BSA. Mice immunized with α7(1-208) demonstrated significantly worse episodic memory measured in a novel object recognition task compared to non-immunized animals but did not differ from the controls in locomotor or anxiety-related tests. These results suggest that nAChR-specific antibodies are able to penetrate the brain upon inflammation with resulting decreases of brain nAChRs and worsening episodic memory.
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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 | 0.000 |
| 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 | 0.001 | 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".