Prebiotic effects of Jerusalem artichoke prevent hepatic steatosis in young rats submitted to a Western diet
Bibliographic record
Abstract
The gut microbiota is a key mediator of metabolic functions. Alterations in its microbial ecology are closely associated to obesity and ensuing disorders. The present study was designed to investigate the beneficial effects of whole Jerusalem artichoke powder (JA; enriched in inulin prebiotic fibers) in a rodent model of diet‐induced obesity. Young rats (3 weeks old) were submitted to: 1) a Western diet (WD); 2) a WD supplemented with whole JA powder (10 %); or 3) a conventional CHOW diet for 8 weeks. Body weight, food consumption, fecal energy content and glucose disposal were measured. Muscle, liver and fat pads were weighted, intra‐organ fat accumulation was analysed in liver and muscles, and triglycerides and cholesterol levels were quantified in plasma. Fecal short chain fatty acid (SCFA) production and metataxonomic analysis were also performed. As expected, body weight, fat accumulation (intra‐organ and fat pads), plasma triglycerides and cholesterol concentrations were higher (p<0.05) in WD‐fed rats vs. CHOW‐fed rats. Energy intake and fecal energy excretion were not different in WD vs. JA animals. On the other hand, plasma triglyceride levels and intra‐organ fat accumulation were significantly reduced in JA‐supplemented rats. SCFA profiles were modified and the microbial production of propionate was increased in feces of the JA group (p <0.05). Such an upregulation of propionate synthesis was associated to potent changes in gut microbial ecology. Metataxonomic analysis showed that the treatment with JA significantly increased numbers of organisms from the Verrucomicrobiales and Bifidobacteriales orders. Therefore, the present results highlight the promising prebiotic potential of JA. This further supports the importance to consider JA for food‐based interventions against obesity and the onset of metabolic disorders. Support or Funding Information CMDO, NSERC, FRQS
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".