Modulating the developing gut microbiota with 2’-fucosyllactose and pooled human milk oligosaccharides
Bibliographic record
Abstract
BACKGROUND: Synthetic human milk oligosaccharides (HMOs) are used to supplement infant formula despite limited understanding of their impact on the post-weaned developing gut microbiota. Here, we assess the influence of 0.5 g/L 2-fucosyllactose (2'FL) and 4.0 g/L pooled HMOs (pHMOs) on the composition and activity of cultured fecal-derived microbial communities from seven healthy young children. RESULTS: Exposure to pHMOs induced significant shifts in both the microbial community composition and metabolic output, including an increased abundance of several genera, notably Bacteroides, and the production of health-associated metabolites. In contrast, 2'FL alone did not lead to substantial changes in the communities. A total of 330 bacterial isolates, spanning 157 species, were cultured from these communities and individually evaluated for their responses to HMOs. Over 100 non-Bifidobacterium species showed enhanced growth upon pHMOs treatment and a high degree of intraspecies variation in HMO metabolism was observed. CONCLUSION: Our study provides valuable insight into the health-enhancing properties of HMOs while highlighting the need for future research into the efficacy of incorporating individual structures into infant formula, particularly when aiming to modulate the gut microbiota. Video Abstract.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".