Influence of Insulin Resistance and Metabolic Dysregulation on Synaptic Protein Profile in SH‐SY5Y Neuroblastoma Cells
Bibliographic record
Abstract
Abstract Background Brain insulin resistance and metabolic dysregulation are significantly associated with Alzheimer’s disease development[1,2]. Metformin is the most prescribed type‐2‐diabetic drug and has been used to treat peripheral insulin resistance (IR) driven metabolic dysfunction through the activation of AMP‐kinase (AMPK)[3,4], but whether metformin is effective in improving brain metabolism is unknown. We have previously shown that chronic AMPK activation negatively impacts neuronal morphology and impairs synaptic protein content in healthy neurons[5]. However, whether AMPK activation under an IR state will exacerbate neuronal impairments is not known. Thus, we examined the effect of metformin‐driven AMPK activation on SH‐SY5Y cells with and without high‐insulin induced IR. Methods Retinoic acid‐differentiated SH‐SY5Y neuroblastoma cells were treated for 48h with either 1) vehicle (Ctl), 2) 100 M insulin (INS, mimicking hyperinsulinemia), 3) 2 mM metformin (MET), or 4) a combination of INS/MET. Results INS‐treated cells demonstrated higher Akt S473, mTOR S2448, and p70s6k T389 phosphorylation, indicative of hyperactive mTORC1 signaling associated with brain IR. INS cells had lower insulin receptor‐ (IR‐) content and higher IRS‐1 S636 phosphorylation, further demonstrating insulin signaling abnormalities. MET increased AMPK T172 phosphorylation, and increased phosphorylation of its downstream effectors ULK S555 and raptor S792, which, collectively, is indicative of mTORC1 inhibition. These phosphorylation increases occurred alongside higher IRS‐1 and insulin receptor‐ content and reduced IR‐ content. INS/MET‐treated cells produced no change in AMPK T172 or raptor S792 phosphorylation but produced increased ULK S555 phosphorylation. INS/MET did not recover increased Akt S473, mTOR S2448, p70s6k T389, or IRS‐1 S636 phosphorlyation nor did it recover IR‐ content. No differences were seen between groups for pre‐/post‐synaptic protein content. INS and MET treatments showed reduced NeuN and synaptophysin content. INS/MET treatment showed reductions in synaptophysin. Morphologically, cell size & area, and neurite length & area all increased with INS and MET treatments, however, these increases were absent with the INS/MET treatment. Conclusion These findings indicate that IR and MET impact neuronal morphology and reduce the development of mature neurons. These impairments are likely driven through Akt and AMPK signaling seperately and suggest that MET is not effective in treating IR‐driven impairments in the brian.
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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".