Evaluation of the Effect of Probiotic Administration on Gene Expression in Goat Blood
Bibliographic record
Abstract
The objective of this study was to assess the molecular impact of probiotic administration on genes involved in homeostasis and immunity in goat blood. Following initial screening for infection, one-week post weaning, female SpanishXBoer goats were drenched daily with the recommended doses of FASTtrak microbial pack (Conklin Company Inc., Shakopee, MN) in 10 mL sterile water over an 8-week period. The control group were given sterile water. Blood samples were collected weekly. Total RNA was isolated from blood collected at the beginning of the study (week 0) and at the end of the study (week 8) using Tri-reagent and then reverse-transcribed to cDNA using the Ambion-Retroscript kit. Quantification of genes was performed in the CFX96TM Biorad Real-Time PCR detection system with the addition of the dye SYBR green. The cow Wingless (Wnt) signaling pathway, Human Innate & Adaptive Immune Responses and the Cow Inflammatory Cytokine & Receptors RT² Profiler™ PCR Arrays (QIAGEN, Valencia, CA) were used to profile the expression of 84 genes involved in each pathway. Probiotic treatment had no effect on body weight, body condition, fecal egg count and RNA concentration (p>0.05). Packed cell volume and FAMACHA scores were significantly improved by probiotic administration. Results from RT-PCR showed increased expression of genes in innate and adaptive immune response, cytokine and Wnt pathways in response to probiotics. Probiotics induced the expression of 32 genes involved in innate and adaptive immune response inflammatory cytokines, and 48 genes involved in the Wnt signaling pathway. This study provides evidence for a systematic effect of oral probiotic administration on expression of genes involved in immunity and homeostasis in goat blood.
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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) | 0.001 | 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) | 0.001 | 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".