Comparative signaling pathways of insulin‐like growth factor‐1 and brain‐derived neurotrophic factor in hippocampal neurons and the role of the PI3 kinase pathway in cell survival
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Bibliographic record
Abstract
Insulin-like growth factor-1 (IGF-1) and brain-derived neurotrophic factor (BDNF) are trophic factors required for the viability and normal functions of various neuronal cells. However, the detailed intracellular mechanism(s) involved in these effects in neuronal cells remains to be fully elucidated. In present study, the respective intracellular signaling pathway induced by IGF-1 and BDNF and their possible role in neuronal survival were investigated. Both IGF-1 and BDNF protected hippocampal neurons from serum deprivation-induced death with IGF-1 apparently being more potent. Western blot analyses showed that both IGF-1 and BDNF induced the activation of the phosphatidylinositide 3 kinase (PI3)/Akt (protein kinase B) kinase and the mitogen-activated protein kinase (MAPK) pathways. The phosphorylation of Akt and its downstream target, FKHRL1, induced by IGF-1 was rapid and sustained while that of MAPK was transient. The reverse situation was observed for BDNF. Moreover, IGF-1 potently induced the tyrosine phosphorylation of insulin receptor substrate-1 (IRS-1) and its association with PI3 kinase while BDNF was weak in these assays. In contrast, the tyrosine phosphorylation of Shc proteins was dramatically stimulated by BDNF, with IGF-1 having only a minimal effect. Most interestingly, only the inhibitor of the PI3K/Akt pathway, LY294002, was able to block the survival effects of both IGF-1 and BDNF; an inhibitor of the MAPK pathway inhibitor, PD98059, being ineffective. Taken together, these data reveal that the survival properties of both IGF-1 and BDNF against serum deprivation are mediated by the activation of the PI3K/Akt, but not the MAPK, pathway in hippocampal neurons.
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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 | 0.000 | 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) | 0.000 | 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 it