Lactobacillus fermentum NCIMB 5221 and NCIMB 2797 as cholesterol-lowering probiotic biotherapeutics: in vitro analysis
Bibliographic record
Abstract
Cardiovascular and coronary artery disease risk are correlated with cholesterol levels and are significant health concerns. Current cholesterol-lowering approaches includes lifestyle and diet modifications, as well as statins which presents numerous shortcomings. The probiotic bacteria, Lactobacillus fermentum NCIMB 5221 and NCIMB 2797, have demonstrated cholesterol-lowering potential in animal studies. However, there is a lack in understanding the mechanism(s) behind these observed effects. The goal of this work is to investigate, in vitro, the cholesterol-lowering mechanisms of these two strains. To determine the cholesterol-lowering mechanisms, probiotic cholesterol assimilation, colon epithelial adhesion and inhibition of cholesterol uptake by colon epithelial (Caco-2) cells were investigated. L. fermentum NCIMB 2797 (P=0.012) and NCIMB 5221 (P=0.003) assimilated cholesterol and their cell surface hydrophobicity was 70.30±8.85% and 55.60±2.59%, respectively. Both L. fermentum strains showed no significant impact (P>0.05) on Caco-2 cell viability. Of most interest, Caco-2 pre-exposure to L. fermentum NCIMB 5221 significantly decreased (P=0.015) cholesterol uptake, with 85.98±2.07% uptake compared to the untreated cells. Similarly, L. fermentum NCIMB 2797 probiotic cells significantly decreased (P=0.019) cholesterol uptake by Caco-2 cells, with 86.45±1.71% uptake observed compared to the control cells. The results demonstrate that L. fermentum NCIMB 5221 and L. fermentum NCIMB 2797 have the potential via various modes of action to lower cholesterol. Additional studies are required to understand the mechanism(s) of action behind probiotic cholesterol assimilation and behind the cholesterol uptake inhibition by colon epithelial cells.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".