Autocrine P2X4 receptor activation in RBCs drives oxygen‐dependent hyperemic responses in mouse skeletal muscle capillaries
Bibliographic record
Abstract
Microvascular blood flow is tightly coupled to tissue function and when disturbed, organ insult ensues. Changes in red blood cell (RBC) oxygenation are thought to be key to the initiation of robust microvascular responses, a process mechanistically linked to ATP release from RBCs and conducted signalling. The RBC signaling cascade governing ATP release was the focus of this study, and of note is the role of ATP‐activated P2X4 receptors. Using an in‐vivo mouse muscle preparation (extensor digitorum longus, EDL) and a focally delivered oxygen stimulus via a rapid gas exchange chamber, we probed capillary hemodynamics, prior to and following purinergic receptor antagonism. Dropping oxygen tension from 7% to 2% reduced RBC oxygen saturation in surface capillaries while increasing RBC supply rate. Incubating the EDL with PPADS (non‐selective purinergic receptor antagonist, 30 µM) or 5‐BDBD (selective P2X4 antagonist, 20 µM) reduced baseline RBC supply rate by ≍ 40% and 47%, respectively, and attenuated the capillary responses to the oxygen stimulus by ≍ 5 and 3 RBC/s, respectively. This blunting predictably enhanced the drop in capillary RBC oxygen saturation, as more oxygen was drawn per RBC to meet tissue demand. Immunofluorescence labeling revealed robust expression of P2X4 receptors in RBCs but not endothelial cells. Together, this data begins to elucidate a role for RBC P2X4 receptors, potentially in a positive feedback loop with pannexin channels, to dynamically regulate demand‐supply coupling in skeletal muscle.
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 | 0.001 | 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 | 0.001 |
| 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 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".