L. reuteri NCIMB 30242: A Probiotic with Benefits
Bibliographic record
Abstract
Objectives The objective of this study was to evaluate the effects of probiotic bile salt hydrolase‐active Lactobacillus reuteri NCIMB 30242 on cholesterol lowering, mechanism of action and gastrointestinal (GI) symptomatology in hypercholesterolemic adults. Methods 127 subjects consumed either L. reuteri NCIMB 30242 or placebo capsules over a 9‐week intervention period in a randomized controlled trial. Results L. reuteri NCIMB 30242 capsules reduced LDL‐cholesterol by 11.6% ( P =0.001), total cholesterol by 9.1%, ( P <0.001), non‐HDL‐cholesterol by 11.3% ( P <0.001), apoB‐100 by 8.4% ( P =0.002) and cholesteryl ester saturated fatty acids by 8.8% ( P =0.002) relative to placebo over the intervention period. Treated subjects showed a significant increase in plasma deconjugated bile acids ( P <0.05), indicating increased intraluminal deconjugation, and a significant decrease in plasma plant sterols ( P <0.05). hs‐CRP was reduced by 1.05 mg/l ( P =0.005) in treated subjects relative to placebo with changes positively correlated to interleukin‐6 and tumor necrosis factor‐α. Further, a higher proportion of treated subjects reported improved symptoms for diagnosis of irritable bowel syndrome and unspecified functional bowel disorders ( P <0.05). Conclusions L. reuteri NCIMB 30242 capsules should be considered as an adjunctive therapy for hypercholesterolemia and may be useful for promoting GI health.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".