Jerusalem Artichoke as a Potential Prebiotic: Influence on Nutrient Utilization, Hindgut Fermentation and Immune Response of Labrador Dogs
Bibliographic record
Abstract
In order to explore the potential of Jerusalem artichoke (JA) as a prebiotic, four groups (CON, PRE-1, PRE-2 and PRE-3) of adult Labrador dogs (n=4 in each) were fed for 90d on a basal diet supplemented with pulverized JA tuber at 0, 1, 2 and 3% levels, respectively. Cell-mediated immunity was assessed on d56 by measuring skin indurations following intra-dermal phytohaemagglutinin-P inoculation. At d60, peripheral lymphocyte sub-populations in blood were assessed by flow cytometry. Humoral immunity was assessed by quantifying the antibody titre against sheep-RBC (SRBC). A digestion trial of 6d duration was conducted after 80d of feeding. Results revealed an increase (P=0.016) in skin indurations in PRE1 and PRE-2 compared to CON and PRE-3. There was no impact of JA on circulating peripheral CD3+ and CD8+ populations, however, CD4+ populations enhanced (P=0.005) in JA supplemented groups than CON. The antibody titre (log2) against SRBC was also higher (P=0.007) in treatment groups than control. There was an increase (P≤0.05) in faecal concentration of lactate and short-chain fatty acids with a concomitant reduction in ammonia. The faecal counts (log10 cfu/g) of health-positive Bifidobacterium (P=0.035) and Lactobacillus (P=0.062) were higher in treatment groups while health-negative coliforms and Clostridium counts remained unaltered. The digestion trial indicated that JA supplementation improved the digestibility of fibre (P=0.003) along with that of calcium and phosphorus. Overall findings revealed that JA may constitute a perspective prebiotic additive because of its apparent positive impacts on immune status as well as hindgut fermentation.
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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".