Zinc–metallothionein: a potential mediator of antioxidant defence mechanisms in response to dopamine-induced stressThis review is one of a selection of papers published in a Special Issue on Oxidative Stress in Health and Disease.
Bibliographic record
Abstract
Clinically, Parkinson's disease (PD) is a neurodegenerative disorder characterized by the development of tremors and rigidity that is found primarily in patients over the age of 50. At the cellular level, it is clear that the pathology of PD results from the progressive loss of dopaminergic neurons in the substantia nigra. Several lines of evidence have implicated oxidative stress as a contributing factor to the depletion of dopaminergic neurons in PD. Under conditions of oxidative stress, the neurotransmitter dopamine can be oxidized to form neurotoxic quinone and semiquinone products. While dopaquinones are known to be extremely reactive towards sulfhydryl groups of many cellular substrates, mounting evidence suggests that their toxic effects can be quenched by intrinsic antioxidant mechanisms (e.g., glutathione). However, to respond appropriately to differing levels of oxidative stress, cells require a mechanism to regulate an appropriate response. This manuscript proposes metallothionein as a major cellular sensor of oxidized dopamine stress and metallothionein-mediated Zn2+ mobilization as an effecter signal that is used by the cell to manage oxidized dopamine as an intrinsic neurotoxin.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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".