Non-neuronal cholinergic stimulation favors bone mass accrual
Bibliographic record
Abstract
Introduction Non-neuronal cholinergic receptors are expressed in immune cells and their stimulation has been shown to regulate the secretion of several cytokines. Some of these cytokines, such as interleukin-17 (IL-17), IL-23, interferon-γ (IFN-γ) and tumor necrosis factor-α (TNF-α), are known to regulate bone mass. Accordingly, we hypothesize that stimulating cholinergic receptors in non-neuronal cells, such as immune cells, promotes bone mass accrual. Methods To test this hypothesis, we used neostigmine, a drug that increases acetylcholine levels by inhibiting acetylcholinesterase activity in peripheral tissues. Female C57BL/6 mice were treated with neostigmine for six weeks, and μCT, histomorphometry, Raman spectroscopy, X-ray diffraction, and mechanical testing were used to analyze bone parameters. A rat model was used to assess bone defect healing and implant osseointegration. Serum cytokines were measured by ELISA, and IL-17 effects on osteoblast proliferation were evaluated in vitro . Results Here, we show that 6 weeks of neostigmine treatment promotes bone mass accrual in endochondral bones of both the axial and appendicular skeleton in mice. Moreover, the administration of neostigmine for 2 weeks accelerated the healing process of the surgically induced bone defects in rats. The body mass index, body weight, visceral fat pad weight and epinephrine levels in the neostigmine-treated mice were similar to those of saline-treated mice, indicating that neostigmine favored bone mass accrual by acting peripherally rather than centrally. The increased bone mass in the neostigmine-treated mice was caused by an increase in osteoblast proliferation and bone formation rate. We also observed an increase in circulating immunocytokine IL-17 levels in the neostigmine-treated mice. Statistical analysis showed that the increase in serum IL-17 level was associated with the increase in osteoblast number. In agreement with our findings from the in vivo experiments, IL-17 treatment increased the proliferation of MC3T3.E1 preosteoblasts in vitro , while acetylcholine or neostigmine did not have any significant effect. Conclusion Taken together, our findings indicate that peripheral cholinergic stimulation promotes bone mass accrual, in part through IL-17–mediated osteoblast activity. Although the evidence is correlative, these results highlight a potential neuro-immune pathway and suggest new therapeutic directions for enhancing bone formation and regeneration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".