Bibliographic record
Abstract
Hallmarks of neurodegenerative diseases such as Alzheimer's disease and Parkinson's disease include oxidative stress, accumulation of unfolded proteins, and neuronal cell death. One key player in maintaining redox homeostasis and oxidative protein folding is the protein disulfide isomerase (PDI). PDI has been the focus of drug discovery studies in neurodegenerative diseases, which have reported, paradoxically, that PDI inhibition is neuroprotective in cellular disease models. This study investigated the molecular implications of PDI inhibition by examining the effect of the PDI inhibitors securinine and 16F16 on the gene expression profile of SH-SY5Y neuroblastoma cells. Microarray analysis identified 36 genes that were differentially expressed in both inhibitor treatments. Computational approaches revealed that these differentially expressed genes are involved in apoptosis and cell death and that they are part of a protein-protein interaction network. Among the 36 identified genes, NAD(P)H quinone dehydrogenase 1 (NQO1) displayed the highest average expression change. As a central player in the cellular oxidative stress response, NQO1 was the focus of further investigation. Immunoblotting confirmed the increased expression level of NQO1, and activity assays demonstrated substantial increases in NQO1 activity in SH-SY5Y cells after treatment with PDI inhibitors. In summary, this study suggests a novel link between PDI inhibition and NQO1 activity, providing insights into the dynamic interplay between protein folding, oxidative stress, and cell death in neurodegenerative diseases, which can be exploited for drug development in the future.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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; both teacher heads agree on what is shown here.
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".