Characterizing the Response of Skeletal Muscle Microvasculature to Imposed Oxygen Variations
Bibliographic record
Abstract
Computational modeling of the oxygen regulatory system has shown how signals conducted upstream from capillaries change the flow pattern in the arteriole tree. The simulation showed that the hemodynamic response to higher frequency oscillations (period 30 sec) is attenuated relative to lower frequency oscillations (period 90 sec). To test this prediction in vivo, a custom O 2 gas chamber is used to supply O 2 at the surface of exposed skeletal muscle and a sequence of 3 oscillations (1 st and 3 rd 30 sec period, 2 nd 90 sec period, see figure) were generated. The hemodynamic response in capillaries to this stimulus was quantified using intravital video microscopy and a functional image analysis system (RBC velocity and hematocrit to yield RBC supply rate, SR). The RBC supply rate response supported the results from the computational model for the 1 st and 2 nd sine oscillation. The SR response to the higher frequency oscillation was attenuated to ~60‐70% of the lower frequency stimulus. However, the 3 rd sinusoidal oscillation showed no response to the O 2 signal suggesting that other factors need to be included in the model. Overall, the model and experimental results support the hypothesis that regulation of O 2 supply involves a conducted signal along the arteriolar tree controlling both flow resistance and distribution of RBCs at bifurcations. (NIH R33 HL089094 ).
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".