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L. reuteri NCIMB 30242: The Sunshine Probiotic ?

2013· article· en· W2284294837 on OpenAlexaff
Mitchell Jones, Christopher Martoni, Satya Prakash

Bibliographic record

VenueThe FASEB Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsMicropharma (Canada)McGill University
Fundersnot available
KeywordsLactobacillus reuteriProbioticPlaceboMedicineCholesterolVitamin D and neurologyInternal medicineFood scienceBiologyBacteria

Abstract

fetched live from OpenAlex

Background/Objectives Low serum 25‐hydroxyvitamin D (25(OH)D) is a risk factor for cardiovascular disease (CVD). Bile salt hydrolase (BSH) – active Lactobacillus reuteri NCIMB 30242 capsules have been shown to lower cholesterol and reduce sterol absorption; however their effect on fat soluble vitamins are unknown and the main objective of this study. Hypothesis The research hypothesis is that L. reuteri NCIMB 30242 capsules would not significantly alter serum fat soluble vitamins in a randomized controlled trial. Methods 127 subjects were randomized to consume L. reuteri NCIMB 30242 or placebo capsules over a 9‐week intervention period. Results Oral supplementation of L. reuteri NCIMB 30242 capsules did not result in reduced serum vitamins A, E and â‐carotene and unexpectedly increased 25(OH)D. Despite no differences in dietary intake (P>;0.05), subjects consuming L. reuteri NCIMB 30242 showed increased serum 25(OH)D over the intervention period by 14.9 nmol/l or 25.5%, which was a significant mean change relative to placebo of 17.1 nmol/l (P=0.005) or 22.4% respectively (P=0.011). Changes in 25(OH)D were negatively correlated with hs‐CRP (r = −0.208, P=0.023). Conclusions To our knowledge this is the first report of increased serum 25(OH)D with oral probiotic supplementation. L. reuteri NCIMB 30242 should be considered for improving vitamin D status in individuals with CVD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.029
GPT teacher head0.293
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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