Long-term Exposure to Local but Not Inhalation Anesthetics Affects Neurite Regeneration and Synapse Formation between Identified Lymnaea Neurons
Bibliographic record
Abstract
BACKGROUND: General and local anesthetics are used in various combinations during surgical procedures to repair damaged tissues and organs, which in almost all instances involve nervous system functions. Because synaptic transmission recovers rapidly from various inhalation anesthetics, it is generally assumed that their effects on nerve regeneration and synapse formation that precede injury or surgery may not be as detrimental as that of their local counterparts. However, a direct comparison of most commonly used inhalation (sevoflurane, isoflurane) and local anesthetics (lidocaine, bupivacaine), vis-a-vis their effects on synapse transmission, neurite regeneration, and synapse formation has not yet been performed. METHODS: In this study, using cell culture, electrophysiologic and imaging techniques on unequivocally identified presynaptic and postsynaptic neurons from the mollusc Lymnaea, the authors provided a comparative account of the effects of both general and local anesthetics on synaptic transmission, nerve regeneration, and synapse formation between cultured neurons. RESULTS: The data show that clinically used concentrations of both inhalation and local anesthetics affect synaptic transmission in a concentration-dependent and reversal manner. The authors provided the first direct evidence that long-term overnight treatment of cultured neurons with sevoflurane and isoflurane does not affect neurite regeneration, whereas both lidocaine and bupivacaine suppress neurite outgrowth completely. The soma-soma synapse model was then used to compare the effects of both types of agents on synapse formation. The authors found that local but not inhalation anesthetics drastically reduced the incidence of synapse formation. The local anesthetic-induced prevention of synapse formation most likely involved the failure of presynaptic machinery, which otherwise developed normally in the presence of both sevoflurane and isoflurane. CONCLUSION: This study thus provides the first comparative, albeit preclinical, account of the effects of both general and local anesthetics on synaptic transmission, nerve regeneration, and synapse formation and demonstrates that clinically used lidocaine and bupivacaine have drastic long-term effects on neurite regeneration and synapse formation as compared with sevoflurane and isoflurane.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".