Experimental Design: Investigating the Role of Autophagy and BDNF in Neuronal Death Under Chronic Stress
Bibliographic record
Abstract
Chronic stress impairs adult hippocampal neurogenesis (AHN) by reducing the survival and proliferation of neural stem cells (NSCs) in the dentate gyrus. Central to this process is cortisol, which interacts with the glucocorticoid receptor (GR) and represses Brain-Derived Neurotrophic Factor (BDNF) transcription, leading to NSC death and disrupted AHN. Autophagy, a cellular degradation process, plays a dual role in cell survival and death under chronic stress. This study investigates the interplay between cortisol, BDNF, and autophagy in influencing NSC viability and AHN. Using human iPSC-derived NSCs, we explore whether GR activation reduces BDNF levels, leading to increased autophagy and cell death, or if other pathways are involved. The study also determines whether cortisol impacts BDNF synthesis, its signaling via the TrkB receptor, or both. Our research employs genetic manipulations, cortisol treatments, and assays to quantify autophagy and cell viability under stress. Understanding these mechanisms could provide insights into stress-related neuropsychiatric disorders and inform therapeutic strategies to enhance brain resilience and function under chronic stress.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".