The Effect of Lean‐Seafood and Non‐Seafood Diets on Fecal Metabolites and Gut Microbiome: Results from a Randomized Crossover Intervention Study
Bibliographic record
Abstract
SCOPE: The impact of dietary protein types on the gut microbiome is scarcely studied. The aim of the present study is therefore to examine the effects of lean-seafood and non-seafood proteins on the gut microbiome composition and activity and elucidate potential associations to cardiovascular disease (CVD) risk factors. METHODS: H NMR spectroscopy and 16S rDNA sequencing analyses were applied to characterize fecal metabolites and gut microbiota composition, respectively. RESULTS: A twofold increase in fecal trimethylamine excretion was observed after the lean-seafood diet period. Circulating TAG and the total to high-density lipoprotein (HDL) cholesterol ratio as well as circulating TMAO levels were each associated with specific gut bacteria. Following the non-seafood diet period, a decreased relative abundance of Clostridium cluster IV and a tendency toward an increased Firmicutes/Bacteroidetes ratio were found. CONCLUSIONS: Lean-seafood and non-seafood diets differentially modulate the gut microbiome composition and activity. Furthermore, the gut microbiota composition seems to affect circulating TMAO levels and CVD risk factors.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".