Glucose and fructose directly stimulate brain-derived neurotrophic factor gene expression in microglia
Bibliographic record
Abstract
Brain-derived neurotrophic factor (BDNF) is expressed in both hypothalamic neurons and microglia, and plays a critical role in the regulation of metabolism. Although hypothalamic expression of BDNF is regulated by metabolic signals such as nutrients and hormones, it remains unknown whether these signals differentially regulate BDNF expression in different cell types. The present study aimed to determine whether glucose and fructose regulate BDNF expression in microglia via the specific glucose transporter. To determine the effect of glucose and fructose on Bdnf mRNA and protein expression, murine microglial cell line SIM-A9 cells were exposed to the maintenance concentration of glucose (17.5 mmol/l), high glucose (25 mmol/l), or fructose (7.5 mmol/l) for 40 min to 24 h. To determine whether the blockade of glucose transporter 5 (GLUT5) negates the effect of glucose on Bdnf mRNA expression, cells were exposed to 25 mmol/l glucose in the presence or absence of the GLUT5 inhibitor for 4 h. Levels of Bdnf mRNA and protein were measured by real-time PCR and ELISA, respectively. High glucose caused a significant increase in both pan-Bdnf and long-form Bdnf (L-Bdnf) mRNA as well as protein levels when compared with the maintenance of concentration of glucose in a time-dependent manner. Fructose treatment also increased L-Bdnf mRNA expression. Pharmacological blockade of GLUT5 did not affect glucose-induced Bdnf mRNA expression. These findings suggest that glucose and fructose directly stimulate Bdnf mRNA expression in microglia and these responses may mediate the metabolic actions of glucose and fructose.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".