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Record W1603928832 · doi:10.1002/cbf.3072

Rosiglitazone, a PPAR<i>γ</i> agonist, ameliorates palmitate‐induced insulin resistance and apoptosis in skeletal muscle cells

2014· article· en· W1603928832 on OpenAlexaff
Reza Meshkani, Asie Sadeghi, Gholamreza Taheripak, Maryam Zarghooni, Siavash Gerayesh‐Nejad, Salar Bakhtiyari

Bibliographic record

VenueCell Biochemistry and Function · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRosiglitazoneInsulin resistanceAgonistSkeletal muscleApoptosisEndocrinologyInternal medicineInsulinPeroxisome proliferator-activated receptorChemistryMedicineReceptorBiochemistry

Abstract

fetched live from OpenAlex

UNLABELLED: Palmitate induces insulin resistance and apoptosis in insulin target tissues. Rosiglitazone (RSG), a peroxisome proliferator-activated receptor γ (PPARγ) agonist, can activate both pro-apoptotic and anti-apoptotic pathways in different cells; however, its effect on palmitate-induced apoptosis in skeletal muscle cells remains to be elucidated. After differentiation of C2C12 cells, myotubes were treated with palmitate, RSG and GW9662 (PPARγ antagonist). MTT and terminal deoxynucleotide transferase dUTP nick end labelling (TUNEL) assays and caspase-3 activity were used to investigate the apoptosis. To study the underlying mechanism, glucose uptake, gene expression and protein levels were evaluated. A total of 0.75 mM palmitate reduced cell viability by 43% and increased TUNEL-positive cells and caspase-3 activity by 15-fold and 6.6-fold, respectively. RSG (10 μM) could markedly decrease the level of TUNEL-positive cells and caspase-3 activity in palmitate-treated cells. The protective effect of RSG on apoptosis was abrogated by GW9662. To investigate the molecular mechanism of this effect, gene expression and protein level of protein tyrosine phosphatase 1B (PTP1B) were evaluated. Palmitate and RSG individually increased the expression and protein level of PTP1B, whereas combined treatment (palmitate and RSG) were able to further increase the expression of PTP1B in C2C12 cells. We also evaluated the effect of RSG on palmitate-induced insulin resistance in muscle cells. RSG could significantly improve glucose uptake by 0.4-fold in myotubes treated with palmitate. Moreover, RSG could restore the phosphorylation of Akt in palmitate-treated cells. These data suggest that RSG protects skeletal muscle cells against palmitate-induced apoptosis and this effect appears to be mediated via the PPARγ-dependent and PTP1B-independent mechanisms. SIGNIFICANCE OF THE STUDY: Saturated free fatty acids (FFAs), such as palmitate, have been shown to induce cellular apoptosis. Strategies for preventing the cytotoxic effect of palmitate are useful in reduction of diabetes complications. In this study, we introduced RSG as an agent that protects skeletal muscle cells against palmitate-induced apoptosis and insulin resistance. It appears that RSG protects skeletal muscle cells against palmitate-induced apoptosis via the PPARγ-dependent and PTP1B-independent mechanisms. Given the role of FFAs in skeletal muscle apoptosis, these findings support the idea that RSG can ameliorate diabetes complications such as skeletal muscle loss.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.005
GPT teacher head0.193
Teacher spread0.188 · 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 teacher head, not a consensus.

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

Citations33
Published2014
Admission routes1
Has abstractyes

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