Mitochondrial modulation of calcium pulsars through oxidative stress
Bibliographic record
Abstract
Intracellular Ca 2+ levels are central to endothelial mechanisms regulating smooth muscle contractility. Growing body of evidence suggests an important role for spatially‐restricted Ca 2+ signals such as Ca 2+ pulsars in endothelial‐dependent modulation of vascular tone. However, little information is available on mechanisms modulating these spontaneous Ca 2+ dynamics. Recent work showed that clustered mitochondria near myoendothelial projections (MEP) regulate Ca 2+ pulsars. Mitochondrial ATP production through oxidative respiration also generates reactive oxygen species (ROS). Interestingly, preliminary data suggests that ROS stimulate Ca 2+ pulsars. Therefore, according to mitochondria production of ROS and organelle's clustering near MEP, it was hypothesized that mitochondria are modulators of local calcium dynamics through mitochondrial oxidative stress (mROS) in native endothelium. Intracellular Ca 2+ dynamics were monitored in situ in Fluo‐4‐loaded endothelium of mesenteric arteries from mice with high‐speed confocal microscopy. Exposure to MitoTEMPO (10 μM), a mitochondria‐targeted antioxidant, decreased spontaneous Ca 2+ pulsar frequency (2‐fold decrease). On the other hand, rotenone, a Complex 1 inhibitor, was used to stimulate mROS production and evaluate its impact on Ca 2+ pulsars. mROS appears to stimulate Ca 2+ dynamics since application of rotenone (10 μM) increased Ca 2+ pulsars frequency. These results suggest that oxidative stress from mitochondrial origin (mROS) can modulate Ca 2+ pulsars in native endothelium and might have a significant impact on vascular tone in pathophysiological conditions. Support or Funding Information Canadian Institutes of Health Research and Montreal Heart Institute Foundation This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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".