Calcium Entry through L-Type Calcium Channels Is Essential for Neurite Regeneration in Cultured Sympathetic Neurons
Bibliographic record
Abstract
Previous work showed that a post-neuritotomy rise in [Ca2+]i is required for regeneration. We tested the following hypotheses in cultured sympathetic neurons: (1) blocking L-type channels at the time of injury inhibits regeneration; (2) enhancing Ca2+ entry through L-type Ca2+ channels enhances regeneration; (3) L-type Ca2+ channel distribution is predominantly on the soma and proximal neurites of uninjured and injured neurons. To visualize L-type Ca2+ channels and block Ca2+ influx, the fluorescent dihydropyridine antagonist, DM-BODIPY, was used. Our results show that regeneration is markedly inhibited by the antagonist when administered 20 min. prior to injury, in the presence or absence of nerve growth factor (NGF) (p < 0.0001). Severe degeneration of proximal and distal neurites was seen 48 h after injury. Regeneration was minimally inhibited by the antagonist when administered 5 min after injury (p < 0.05), but not inhibited when administered 2 or 24 h after injury (p > 0.05). We found that L-type channels are distributed ubiquitously on the soma and neurites of uninjured and injured cells, and on regenerating neurites. The addition of the L-type channel agonist, BayK8644, (1 microM) 20 min prior to injury enhanced neurite length at 24 h post-injury (p = 0.002). Blocking L-type channels did not affect the viability of uninjured or injured cells. For the first time, it has been shown that Ca2+ entry through L-type Ca2+ channels is essential for post-neuritotomy sympathetic neurite regeneration, and that this effect shows a strict temporal dependency. We also demonstrated that regeneration can be enhanced by increasing Ca2+ influx through L-type channels.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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 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".