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Record W3165890543 · doi:10.1093/cdn/nzab054_010

Effect of Pea Hull Fiber on Uremic Metabolites and Gut Microbiota Composition in Individuals Undergoing Hemodialysis

2021· article· en· W3165890543 on OpenAlexaboutno aff
Asmaa Fatani, Joonhyuk Suh, Jérémie Auger, Yu Wang, Wendy J. Dahl

Bibliographic record

VenueCurrent Developments in Nutrition · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsnot available
Fundersnot available
KeywordsFaecalibacterium prausnitziiAkkermansia muciniphilaFood scienceBiologyCrossover studyPrevotellaRoseburiaBifidobacteriumFecesPhysiologyMicrobiologyGut floraInternal medicineMedicineLactobacillusImmunologyPlaceboFermentationPathologyBacteria

Abstract

fetched live from OpenAlex

The objective was to determine the effects of pea hull fiber intake on serum uremic molecules and microbiota composition of individuals undergoing hemodialysis. A randomized, double-blind, placebo-control, crossover study was conducted with individuals undergoing hemodialysis. Following a 1-week baseline, participants consumed muffins with added pea hull fiber (15 g/d) and control muffins daily for 4 weeks in random order, separated by a 4-week washout. Blood and stool samples were collected during each period. Serum p-cresol sulfate (PCS), indoxyl sulfate (IS) and trimethylamine N-oxide (TMAO) were analyzed by LC–MS/MS and fecal microbiome profile by 16S rRNA gene amplicon sequencing. qPCR for taxa of interest (Akkermansia muciniphila, Faecalibacterium prausnitzii, Bifidobacterium, and Roseburia) was performed. QIIME 2 sample-classifier was used to discover a unique microbiota profile due to the consumption of pea hull fiber. Of the 18 participants randomized (50 ± 4 y; eGFR 6.6 ± 0.7 ml/min/1.73m2), 13 completed the study. No significant changes from baseline were observed in serum PCS (3256 ± 505 μmol/L), IS (166 ± 23 μmol/L) or TMAO (96 ± 12 μmol/L), or for the relative quantification of A. muciniphila, F. prausnitzii, Bifidobacterium, and Roseburia, taxa thought to be health enhancing. Taxa that most distinguished the microbiota composition during the pea hull fiber intervention from usual diet periods were enriched Gemmiger, Collinsella and depleted Lactobacillus, Ruminococcus, Coprococcus and Mogibacteriaceae. Given that abundance of Collinsella has been inversely associated with dietary fiber, this finding was unexpected. In dialysis patients, added pea hull fiber did not reduce the serum levels of targeted uremic molecules but did alter fecal microbiota composition. Future research in this patient population should explore the efficacy of alternate fiber sources or plant-based dietary patterns for reducing serum levels of uremic toxins. Saskatchewan Pulse Growers.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.094
Threshold uncertainty score0.619

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.287
Teacher spread0.277 · 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 teacher head, 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
Published2021
Admission routes1
Has abstractyes

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