Efficacy of oral <i>Bifidobacterium bifidum</i> ATCC 29521 on microflora and antioxidant in mice
Bibliographic record
Abstract
This study aimed to examine whether Bifidobacterium bifidum ATCC 29521, a species of colonic microflora in humans, is involved in the intestinal tract of mice. This study was also conducted to determine the antioxidant activity of this species by evaluating different microbial populations and reactive oxygen species isolated from feces and intestinal contents for 28 days of oral administration. Microbial diversities were assessed through bacterial culture techniques, PCR-DGGE, and real-time PCR. This study showed that the intake of B. bifidum ATCC 29521 significantly (p < 0.05) improved the ecosystem of the intestinal tract of BALB/c mice by increasing the amount of probiotics (Lactobacillus intestinalis and Lactobacillus crispatus) and by reducing unwanted bacterial populations (Enterobacter, Escherichia coli). Antioxidative activities of incubated cell-free extracts were evaluated through various assays, including the scavenging ability of DPPH radical (64.5% and 67.54% (p < 0.05), respectively, at 21 days in nutrients and 28 days in MRS broth), superoxide anion, and hydroxyl radical (85% and 61.5% (p < 0.05), respectively, at intestinal contents in nutrients and 21 days in MRS broth). Total reducing power (231.5 μmol/L (p < 0.05), 14 days in MRS broth) and mRNA level of genes related to oxidative stress were also determined. Results indicated that B. bifidum ATCC 29521 elicits a beneficial effect on murine gut microbiota and antioxidant activities compared with the control samples. This species can be considered as a potential bioresource antioxidant to promote health. Bifidobacterium bifidum ATCC 29521 may also be used as a promising material in microbiological and food applications.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".