Neuroglobin-enriched secretome provides neuroprotection against hydrogen peroxide and mitochondrial toxin-induced cellular stress
Bibliographic record
Abstract
Aberrant response to physiological cell stress is part of the mechanisms underlying the development of diverse human diseases, including neuropathologies. Neuroglobin (NGB), an intracellular monomeric globin, has gained attention for its role in endogenous stress response pathways in neuroprotection. To date, evidence supports the concept of NGB as an inducible protein, triggered by physiological and pathological stimuli via transcriptional and/or post-transcriptional mechanisms, offering cell-autonomous neuroprotective functions under various cellular stresses. Notably, recent evidence suggests the extracellular occurrence of NGB. We aimed to explore whether NGB redistribution in the cell microenvironment may serve in transmitting resilience capability in a model with neuronal characteristics. Results obtained in SH-SY5Y demonstrated that intracellular NGB upregulation is associated with the promotion of the extracellular release of the globin. Additionally, cell secretome from NGB-overexpressing cells, characterized by globin accumulation, exhibits protective effects against oxidative stress and mitochondrial toxicity, as evidenced by reduced apoptosis and preserved mitochondrial structure. These findings shed light on the potential significance of extracellular NGB as part of a common cell response to physiological and stress conditions and as a factor promoting cell resilience. Furthermore, the potential for neuroprotection of extracellular NGB paves the way for future therapeutic opportunities.
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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".