Study of faecal parameters and body condition in dogs with a diet supplemented with <i>Lactobacillus acidophilus</i> D2/CSL (CECT 4529)
Bibliographic record
Abstract
The aim of our case-control study is to evaluate the effects of a diet integrated with the probiotic Lactobacillus acidophilus D2/CSL (CECT 4529) on the nutritional status and faecal consistency of healthy dogs belonging to the English Cocker Spaniel (ECS) and Labrador Retriever (LR) breeds. A total of 30 dogs were enrolled in this study, and they were randomly assigned to a Control (CTR, n = 14) and a Treated group (LACTO, n = 16). The trial consisted in a 7-days adaptation period where all the animals received the same commercial food, followed by a 35-days of data collection period where the LACTO group received the food supplemented with Lactobacillus acidophilus D2/CSL. We evaluated Body weight (BW), Body Condition Score (BCS) and Skinfold thickness, Faecal Score (FS) and Faecal Moisture (FM). All dogs in the LACTO group maintained an ideal BCS score during the whole experimental period compared to the CTR group. A significant decrease in skin thickness was found throughout the trial in the LACTO group. A significant improvement of the FM was recorded in the LACTO compared to the CTR group in the overall period for both dog breeds, and the FS significantly decreased in the LACTO group. Our results showed good maintenance of the nutritional conditions in dogs that are prone to overweight and a significant improvement of faecal parameters, meaning that even in healthy dogs with no gastrointestinal disorder the addition of this supplement to the diet helps to maintain the optimal balance of their intestinal microbiota.HIGHLIGHTSProbiotics help to maintain and promote the optimal gastro-intestinal health and well-being.Lactobacillus acidophilus D2/CSL (CECT 4529) improve faecal parameters and nutritional status of dogs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".