Effect of hydroxypropyl methylcellulose on obesity and glucose metabolism in a diet-induced obesity mouse model
Bibliographic record
Abstract
BACKGROUND: To investigate the effect of hydroxypropyl methylcellulose (HPMC) on weight loss and metabolic disorders associated with obesity using a high-fat diet-induced obese mouse model under a high-fat diet regimen. METHODS: Obese male C57BL/6J (B6) mice were fed either a high-fat (60% kcal), low-fat (10% kcal), or high-fat diet plus HPMC (4% and 8%) for 5 weeks. Body, mesenteric adipose, and liver weights were determined at the end of the study. In addition, plasma cholesterol, insulin, glucose, adiponectin, and leptin were analyzed to determine the effects of HPMC. Hepatic and fecal lipids were measured to determine the effect of HPMC on lipid absorption and metabolism. RESULTS: Supplementation of the high-fat diet with 4% and 8% HPMC resulted in significant weight loss in obese B6 mice. Furthermore, significant decreases were seen in adipose (30%-40%), liver weights (15%-26%), and concentrations of plasma cholesterol (13%-20%) and hepatic lipids (13%-36%). Supplementation with 8% HPMC led to significant improvements in glucose homeostasis and leptin concentrations. Reductions in plasma cholesterol, glucose, and insulin levels were strongly correlated with reduced leptin concentrations. Moreover, increases in fecal secretion of total bile acids, sterols, and fats indicated altered fat absorption when HPMC was incorporated in the diet. CONCLUSION: The data indicate that HPMC not only reduces body weight, but also normalizes the metabolic abnormalities associated with obesity and suggest that the effects of HPMC on glucose and lipid homeostasis in B6 mice are mediated by improvements in leptin sensitivity resulting from reduced fat absorption.
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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 | 0.001 | 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".