Supplementation of cyanidin-3-O-β-glucoside-rich haskap (Lonicera caerulea L.) berry extract attenuates hepatic lipid dysregulation in diet-induced obese mice
Bibliographic record
Abstract
Haskap (Lonicera caerulea L.) berry is enriched in anthocyanins, primarily cyanidin-3-O-β-glucoside (C3G). It remains unknown whether C3G counteracts metabolic alterations of the pathogenesis of obesity. In this study, mice were fed high-fat high-sucrose (HFHS) diet supplemented either with C3G-rich extract (HFHS + CE) or berry powder with low C3G (HFHS + BP). Mice fed HFHS + CE displayed short-term protection against weight gain, independent of food intake. HFHS + CE mice had lower hepatic diacylglycerols and triacylglycerols content and reduced expression of key lipogenic transcription factors. These metabolic changes also translated into improved glucose tolerance and insulin sensitivity. 16S rRNA sequencing revealed altered gut microbiota composition in the HFHS + CE group. In summary, we demonstrate that C3G enrichment in the HFHS diet attenuates short-term weight gain, decreases hepatic lipid content by suppressing key lipogenic gene expression and improves glucose homeostasis during obesity development, supporting the therapeutic utility of C3G as a bioactive phytonutrient to manage obesity-related complications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".