Human Ca <sub>V</sub> 1.2/Ca <sub>V</sub> 3.x channels mediate paradoxical vasomotor responses in the human cerebral circulation (677.11)
Bibliographic record
Abstract
This study examined which voltage‐gated Ca 2+ channels are expressed in the human cerebral circulation and investigated their electrical and functional properties. Using cerebral arteries collected from patients undergoing resection surgeries, quantitative PCR and Western blot analyses revealed the expression of both L‐ and T‐type channels in the smooth muscle cell layer. Analogous to rodent, we observed both Ca V 1.2 (L) and Ca V 3.2 (T); intriguingly, Ca V 3.1 isoform was replaced in humans with Ca V 3.3 (T). Patch‐clamp electrophysiology displayed a robust whole‐cell Ba 2+ current whose amplitude varied inversely with the patients’ age. This inward current was subdivided into L‐ and T‐type components using standard pharmacological/electrical approaches. The T‐type conductance was further separated into Ca V 3.2 and Ca V 3.3 components by exploiting their differential sensitivity to Ni 2+ . Vessel myography revealed a key role for Ca V 1.2 and Ca V 3.3 channels in mediating cerebral arterial constriction with the former and latter predominating at depolarized and hyperpolarized voltages, respectively. Like the rodent, human Ca V 3.2 appears to drive a negative feedback response that antagonizes myogenic tone development. In conclusion, this study is the first to document three distinct Ca 2+ channel isoforms in human cerebral arteries along with their unique contribution to arterial tone development.
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) | 0.000 | 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".