The Role of TRPV4 Channels in Neuronal Excitability and Plasticity Through a Calcium-Dependent Fashion.
Bibliographic record
Abstract
Transient receptor potential (TRP) channels play a critical role in sensing environmental stimuli and organizing cellular responses across different biological contexts. This study focuses on TRPV4 channels, one of the 28 TRP channels, which are nonselective cation channels permeable to calcium (Ca²⁺). TRPV4 channels are implicated in neuronal excitability and plasticity, suggesting a role in neuropathological states. This study explores TRPV4's function in modulating neuronal activity within hippocampal cell cultures. The focus of this study is to optimize potassium chloride (KCl) concentrations to induce depolarization and examine the effects of TRPV4 antagonists on calcium signaling. Calcium imaging techniques were used to monitor intracellular Ca²⁺ responses during baseline, drug addition, and ionomycin treatment. Our findings suggest that TRPV4's activation contributes to depolarization induced by KCl. Our findings show that applying TRPV4 antagonists RN9893 and HC067047 displays a reduction in Ca²⁺ influx compared to the KCl (depolarized) condition, suggesting that the TRPV’s blockage may mitigate the depolarization. The results provide insight into the modulation of calcium-dependent neuronal channels, advancing the understanding of their physiological roles in neuronal excitability. Through this the mechanisms by which calcium-dependent channels contribute to neuronal function is apparent, offering potential therapeutic targets.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".