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β2‐1 Fructan Supplementation in Healthy Adults Elicits Host‐Specific Bacterial Responses But Does Not Support a Defined Health Benefit

2017· article· en· W4389020219 on OpenAlexafffundabout
Stephen P.J. Brooks, Sandra T. Clarke, G. Douglas Inglis, L. J. Yanke, Judy Green, Nicholas Petronella, D. Dan Ramdath, Přemysl Berčík, Julia M. Green-Johnson, Martin Kalmokoff

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsMcMaster UniversityAgriculture and Agri-Food CanadaOntario Tech UniversityHealth Canada
FundersAgriculture and Agri-Food Canada
KeywordsLachnospiraceaeBacteroidesPrevotellaFecesBiologyBifidobacteriumRuminococcusMicrobiologyGut floraBifidobacterium animalisLactobacillusImmunologyBacteriaFood science16S ribosomal RNAFirmicutesFermentation

Abstract

fetched live from OpenAlex

Little data exists on physiological outcomes associated with bacterial changes that occur after fructan feeding in healthy adults. To this end, we studied potential relationships between changes in gut bacteria composition and host physiological parameters after feeding 3 × 5 g/d of β2‐1 fructan (BF) or maltodextrin to a group of 13 male and 17 female healthy adults in a placebo‐controlled, double‐blinded, randomised crossover‐study consisting of two 28‐d exposures separated by a 14‐d washout. Fasting blood and 1‐d faecal collections were obtained on d0 and d28 of each phase. Well‐being and general health, as well as gastrointestinal symptoms, were determined by questionnaire. Serum lipopolysaccharides (LPS), faecal SCFA, faecal bifidobacteria and indigestion were higher during the BF‐supplemented phase. Numbers of circulating lymphocytes and macrophages were unchanged but BF supplementation decreased serum IL‐10 and increased serum IL‐4. In addition, circulating percentages of CD282 + /TLR2 + myeloid dendritic cells increased as did ex vivo responses to a TLR2 agonist. Culture‐based analysis of feces showed that 87 bacterial species encompassing 30 genera and four phyla were able to use BF as the sole carbon source. Fecal 16S rRNA analysis (26 subjects) showed BF reduced community richness. Two response patterns were observed: in 17/26 subjects, the relative abundance of Bacteroides was reduced and phylotypes within the Bifidobacterium , Faecalibacterium and the family Lachnospiraceae increased during the BF phase. In the remaining subjects, phylotypes aligning within the genera Bacteroides, Prevotella and to a lesser extent Bifidobacterium increased in abundance while abundance of phylotypes within the Faecalibacterium and the family Lachnospiraceae decreased during the BF phase. Few relationships between the faecal community composition and measured parameters were noted: (a) increases in Bacteroidetes relative abundance correlated with increased faecal propionate; (b) subjects in whom Bacteroidetes increased during the BF phase excreted more caproic acid (during both phases); and (c) subjects in whom Bacteroidetes decreased during the BF phase had higher LPS and LPS binding protein (during both phases). The most likely explanation for the observed patterns of faecal community change associated with the BF phase is a distal gut fermentation driven by differences in peptidyl nitrogen. We found no links between bacterial community changes and physiological changes nor was there evidence of physiological changes that would indicate a health benefit in these healthy subjects. Support or Funding Information This trial was undertaken with financial support from Agriculture and Agri‐Food Canada (RPBI# 1501, MK, GDI, LJY), Health Canada (SB), General Mills (MK), Alberta Innovates Bio Solutions (GDI), the Advanced Food and Materials Network (MK), and the National Science and Engineering Research Council (JMJG).

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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.

Opus teacher head0.022
GPT teacher head0.304
Teacher spread0.282 · 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 designObservational
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

Citations1
Published2017
Admission routes3
Has abstractyes

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