The Role of Mitochondrial Reactive Oxygen Species in Chondrocyte Mechanotransduction
Bibliographic record
Abstract
Articular cartilage is subjected to various loads which are required for healthy cartilage tissue maintenance. In vitro, mechanical stimulation has been used to apply loading to engineered constructs as a means of developing functional tissue. Chondrocytes, being mechano-sensitive cells, are able to sense external mechanical stimuli and respond in various ways through intracellular cascades by the process of mechanotransduction. Previous cartilage studies have demonstrated that mechanical stimulation causes mitochondrial deformation which leads to the production of mitochondrial reactive oxygen species (ROS). The work conducted in this thesis focused on elucidating the role of mitochondrial ROS as anabolic signalling molecules in chondrocyte mechanotransduction. The overall findings identified superoxide anion as the primary ROS produced from the ETC. Further inhibition studies demonstrated that chondrocyte matrix synthesis is dependent on ROS production, which can otherwise be supressed by ETC complex inhibitors. The link between ROS production and matrix biosynthesis was established through ROS-dependant activation of the p38 and JNK MAPK pathways. This anabolic synthetic response suggests that under short-term mechanical stimulation, ROS serve as important signalling molecules that are required for eliciting a positive biosynthetic response, primarily through MAPK pathways. iii
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".