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Record W4404768958 · doi:10.1186/s40795-024-00962-7

Consumption of resistant potato starch produces changes in gut microbiota that correlate with improvements in abnormal bowel symptoms: a secondary analysis of a clinical trial

2024· article· en· W4404768958 on OpenAlexaffabout
Jason Bush, Michelle J. Alfa

Bibliographic record

VenueBMC Nutrition · 2024
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsSumitomo Precision Products (Canada)
FundersUniversity of Nebraska-Lincoln
KeywordsMedicineBloatingInternal medicineAbdominal painPlaceboDiarrheaGastroenterologyConstipationPopulationGut floraImmunologyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Studies have linked a lack of dietary fibre, including resistant starch (RS), to disease-associated changes in intestinal bacteria. Healthy people often report abnormal bowel symptoms (ABS), including bloating, constipation, abdominal pain, and diarrhea, however, connections between these symptoms and the gut microbiota are poorly understood. Determining correlations between ABS and taxonomic groups may provide predictive value for using prebiotics to mitigate ABS in combination with stool microbiome testing. METHODS: Post hoc analysis of a three-arm randomized, double-blind, placebo-controlled clinical trial evaluating the effects of 3.5 g and 7 g resistant potato starch (RPS) doses or placebo was conducted. The study population (n = 70) were healthy adults aged 18-69 years old living in and around Guelph, ON. Participants evaluated their stools using the Bristol Stool Chart and also recorded any ABS daily. The presence of ABS was compared between treatment arms at baseline and changes in ABS were compared within treatment arms over 1- and 4-week periods. Pearson correlation analysis was used to identify significant relationships between changes in ABS and changes in bacterial taxa. RESULTS: Abdominal pain, belching, bloating, constipation, diarrhea, gas, and feeling unwell were reported by participants at low levels at baseline. Neither RPS nor placebo had significant effects on mean ABS scores. However, we identified positive correlations between treatment-dependent changes in symptoms and changes in Granulicatella, Haemophilus, Lachnospira, Olsenella, Papillibacter, Turicibacter, unclassified Enterobacteriaceae, unclassified Fusobacteriaceae, unclassified Pasteurellaceae, and unclassified Gammaproteobacteria. We also identified negative correlations between treatment-dependent changes in symptoms and changes in Anaerotruncus, Dorea, RFN20, Victivallis, unclassified Coriobacteriaceae, and unclassified Oxalobacteraceae. These Pearson correlations were significant after correction for repeated testing. The mean relative abundance of these taxa did not change in response to treatment. Finally, macronutrient intake was unaffected by RPS or placebo treatments. CONCLUSION: Changes in ABS can be positively or negatively correlated with changes in specific gut microbiota, creating opportunities for personalized microbiome-targeted interventions to resolve ABS. TRIAL REGISTRATION: The trial was registered at ClinicalTrials.gov (NCT05242913) on February 16, 2022.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.060
GPT teacher head0.336
Teacher spread0.276 · 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 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

Citations7
Published2024
Admission routes2
Has abstractyes

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