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Record W4390195505 · doi:10.1002/alz.071863

Influence of Insulin Resistance and Metabolic Dysregulation on Synaptic Protein Profile in SH‐SY5Y Neuroblastoma Cells

2023· article· en· W4390195505 on OpenAlexaff
Alexander J.T. Yang, M. Ayaz Ahmad, Michael S. Finch, Evangelina Tsiani, Gaynor E. Spencer, Aleksandar Necakov, Rebecca E. K. MacPherson

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsBrock University
Fundersnot available
KeywordsAMPKmTORC1Insulin resistancePhosphorylationEndocrinologyMetforminAMP-activated protein kinaseInternal medicineProtein kinase BInsulin receptorInsulinPI3K/AKT/mTOR pathwayChemistryProtein kinase AKinaseBiologySignal transductionCell biologyMedicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.019
GPT teacher head0.246
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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