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
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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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 | 0.001 |
| 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 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".