<i>Lactobacillus gasseri</i> TF08-1 ameliorates high-fat diet induced nonalcoholic fatty liver disease and regulates gut microbiota in mice
Bibliographic record
Abstract
AIMS: This study aimed to investigate the therapeutic potential of Lactobacillus gasseri TF08-1, a gut bacterium isolated from healthy adolescents, in alleviating high-fat diet (HFD)-induced nonalcoholic fatty liver disease (NAFLD). This followed our discovery of lipid metabolism-related genes in its complete genome. METHODS AND RESULTS: The high-precision complete genome map of L. gasseri TF08-1 was constructed for the first time, revealing enriched lipid metabolism pathways, including bile salt hydrolase activity and short-chain fatty acid (SCFA) production. After supplementing L. gasseri TF08-1 for 8 weeks in mice fed with a high-fat diet, the serum triglyceride (TG) level decreased by 41.95%, the hepatic total cholesterol (TC) level decreased by 35.09%, and the TNF-α level decreased by 42.91%. Meanwhile, the NAS score decreased by 3.66 points. The treatment significantly reduced hepatic lipid accumulation, lowered proinflammatory cytokines, and improved steatosis scores. Metagenomic analyses showed L. gasseri TF08-1 restored gut microbiota balance, significantly increasing the abundance of beneficial bacteria such as Faecalibacterium prausnitzii and Phocaeicola vulgatus, while also enriching fatty acid degradation pathways. CONCLUSIONS: Lactobacillu gasseri TF08-1 demonstrates probiotic efficacy against NAFLD through dual mechanisms: direct metabolic modulation and gut microbiota restoration. The lipid metabolism capacity encoded by its genome likely contributes to therapeutic effects.
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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 | 0.000 | 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) | 0.000 | 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".