Rosemary extract increases neuronal cell glucose uptake and activates AMPK
Why this work is in the frame
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Bibliographic record
Abstract
Glucose is the primary metabolic substrate of neurons and is responsible for supporting many vital functions including neuronal signalling. Decreases in glucose uptake and utilization are common characteristics of dementia, particularly Alzheimer’s disease, and thus agents that can restore neuronal glucose availability may be especially valuable to the field. Diets rich in antioxidants and polyphenols have been associated with reductions in the risk of chronic disease that are associated with aging. In previous studies, rosemary extract (RE) has been reported to have antioxidant, anti-inflammatory, anticancer, and antidiabetic properties. The purpose of the present study was to explore the effects of RE on neuronal glucose uptake. Human SH-SY5Y neuroblastoma cells exposed to varied concentrations of RE showed a dose-dependent increase in glucose uptake, with a significant increase observed following treatment with 5 µg/mL RE for 2 h (159% ± 20.81% of control) that was comparable to maximum insulin stimulation (135.6% ± 3.2% of control). This increase in glucose uptake was paralleled by increases in AMP-activated protein kinase (AMPK), but not Akt, phosphorylation/activation. The present study is the first to report that treatment with rosemary extract can stimulate glucose uptake in a neuronal cell line. These results demonstrate the potential of RE to be used as an agent to regulate neuronal glucose homeostasis. Novelty: RE increases neuronal glucose uptake. RE activates AMPK in neurons. RE increases neuronal glucose uptake independently of insulin signalling.
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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