Regulatory volume response to increased extracellular lactate via monocarboxylate transporters in mammalian skeletal muscle
Bibliographic record
Abstract
Mammalian skeletal muscle cells regulate volume in response to changes in extracellular osmolarity. As a result of increased osmolarity, the rate of regulatory volume increase (RVI) is hypothesized to occur more rapidly in the presence of lactate− anions, as opposed to Cl− anion, since influx of lactate− via monocarboxylate transporters (MCTs) should increase the rate that intracellular/extracellular osmolarity equilibrate. We investigated the role of lactate− in RVI, by way of the MCT. Adult mouse peroneous muscle fibres were isolated and width measurements obtained at 2 sites per fibre, every 5–10 seconds for 30 min, in response to increased extracellular osmolarity via NaCl or NaLactate treatment. The extracellular changes in osmolarity occurred in presence/absence of NKCC (bumetanide) and MCT (pCMBS and phloretin) inhibitors. Increasing extracellular osmolarity caused rapid cell shrinkage, with subsequent recovery to baseline volume. Volume loss for NaLactate was less than NaCl treatment. Bumetanide caused greater peak volume decrease vs. control. MCT inhibition by pCMBS or phloretin also showed a more pronounced volume reduction vs. control, however the magnitude of decrease was greater in contrast to NKCC inhibition alone. In summary, results suggest the MCT plays a notable role in facilitating RVI via lactate transport in the optimal response of skeletal muscle cells to undergo volume recovery. Supported by NSERC of Canada
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 | 0.001 |
| 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".