Long-term nucleus basalis cholinergic lesions alter the structure of cortical vasculature, astrocytic density and microglial activity in Wistar rats
Bibliographic record
Abstract
Basal forebrain cholinergic neurons (BFCNs) are the sole source of cholinergic innervation to the cerebral cortex and hippocampus in humans and the primary source in rodents. This system undergoes early degeneration in Alzheimer's disease. BFCNs terminal synapses are involved in the regulation of the cerebral blood flow by making classical synaptic contacts with other neurons. Additionally, they are located in proximity to cortical cerebral blood vessels, forming connections with various cell types of the neurovascular unit (NVU), including vascular smooth muscle cells, endothelial cells, and astrocytic end-feet. However, the effects of the BFCNs input on NVU components remain unresolved. To address this issue, we immunolesioned the nucleus basalis by administering bilateral stereotaxic injections of the cholinergic immunotoxin 192-IgG-Saporin in 2.5-month-old Wistar rats. Seven months post-lesion, we observed a significant reduction in cortical vesicular acetylcholine transporter-immunoreactive synapses. This was accompanied by changes in the diameter of cortical capillaries and precapillary arterioles, as well as lower levels of vascular endothelial growth factor A (VEGF-A). Additionally, the cholinergic immunolesion increased the density of cortical astrocytes and microglia in the cortex. At these post-BFCN-lesion stages, astrocytic end-feet exhibited an increased co-localization with arterioles. The number of microglia in the parietal cortex correlated with cholinergic loss and exhibited morphological changes indicative of an intermediate activation state. This was supported by decreased levels of proinflammatory mediators IFN-γ, IL-1β, and KC/GRO (CXCL1), and by increased expression of M2 markers SOCS3, IL4Rα, YM1, ARG1, and Fizz1. Our findings offer a novel insight: that the loss of nucleus basalis cholinergic input negatively impacts cortical blood vessels, NVU components, and microglia phenotype. • Long-term BFCN immuno-depletion effects differ from short-term effects in Wistar rats. • BFCN depletion in the nucleus basalis reduces cortical VAChT-immunoreactive synapses. • Long-term cholinergic loss alters small vessel diameter and VEGF-A levels. • Cholinergic depletion increases astrocytic end-feet co-localization with arterioles. • Cholinergic depletion promotes an M2-like microglial phenotype.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".