Nerve Growth Factor Regulates Sodium But Not Potassium Channel Currents in Sympathetic B Neurons of Adult Bullfrogs
Bibliographic record
Abstract
The TTX-sensitive and -resistant components of the voltage-gated Na(+) current (TTX-s I(Na) and TTX-r I(Na)) are increased within 2 wk of cutting the axons of B-cells in bullfrog paravertebral sympathetic ganglia (BFSG). Axotomy also increases the noninactivating, voltage-activated K(+) current (M current I(M)), whereas delayed rectifier K(+) current (I(K)) is reduced. We found that similar effects were produced when BFSG B cells were dissociated from adult bullfrogs and maintained in a defined-medium, neuron-enriched, low-density, serum-free culture. Thus the density of TTX-s I(Na), TTX-r I(Na), and I(M) were transiently increased, whereas I(K) density was decreased. Reduction in voltage-sensitive, Ca(2+)-dependent K(+) current (I(C)) was attributed to previously documented decreases in Ca(2+) channel current (I(Ca)). To test whether axotomy- or culture-induced changes in ion channel function reflect loss of retrograde influence of nerve growth factor (NGF), we examined the effect of murine beta-NGF on TTX-s I(Na), TTX-r I(Na), I(K), and I(M). Culture of neurons for 15 days in the presence of NGF (200 ng/ml), more than doubled total I(Na) density but did not enhance neurite outgrowth. The TTX-r I(Na) density was increased about threefold and the TTX-s I(Na) density increased 2.4-fold. NGF did not affect the activation or inactivation kinetics of the total Na(+) conductance. Effects of NGF were blocked by the transcription inhibitors, cordycepin (20 microM) and actinomycin D (0.01 microg/ml). I(K) and I(M) were unaffected by NGF, and although I(C) was enhanced, this likely reflected the known effect of NGF on I(Ca) in BFSG neurons. Na(+) channel synthesis and/or expression in adult sympathetic neurons is therefore subject to selective regulation by NGF. Despite this, the increase in I(Na) and I(M) as well as the decrease in I(K) seen in BFSG neurons in culture or after axotomy cannot readily be explained in terms of alterations in the availability of target-derived NGF.
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".