Amelioration of cognitive and behavioral damage by <i>Bifidobacterium breve</i> 05 via regulation of BDNF/NeuN and LPS/Iba1/aβ expression
Bibliographic record
Abstract
Aging can reduce learning and memory abilities. This study investigated the neuroprotective effects of Bifidobacterium breve 05 (B. breve 05), isolated from human breast milk, in a D-galactose-induced cognitive impairment model in C57BL/6 mice. B. breve 05 markedly improved spatial learning, memory, and behavioural performance. Mechanistically, it balanced gut immune responses by modulating pro- and anti-inflammatory cytokines, suppressing NF-κB activation and CD11c⁺ cells. The strain reshaped gut microbiota by inhibiting Allobaculum and enriching beneficial genera (Alistipes and Kineothrix), elevated serum serotonin, GABA, and dopamine, and restored acetylcholine homeostasis via reduced acetylcholinesterase activity. In the hippocampus, treatment with B. breve 05 enhanced NeuN⁺ neurons and BDNF expression, while reducing LPS, amyloid-β, and Iba-1⁺ microglia activation. Collectively, B. breve 05 confers neuroprotection by modulating the microbiota–gut–brain axis and represents a promising probiotic for mitigating stress-related cognitive and behavioural impairments.
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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) | 0.000 | 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".