MétaCan
Menu
← Back to cohort

Modulation of Ileal Starch Digestion by Exogenous Fibres and Different Genotypes of Potato in Growing Pigs Fed a High‐fat Basal Diet

2016· article· en· W4389008906 on OpenAlexaff
Qi Wang, Tania Archbold, Mychal-Ann Hayhoe, Xiaojian Yang, Al Sullivan, Benoît Bizimungu, Agnes Murphy, William David, Alison M. Duncan, John K Htoo, Ming Fan

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Guelph
Fundersnot available
KeywordsGuar gumFood sciencePotato starchStarchChemistryDigestion (alchemy)Randomized block designBiologyAgronomy

Abstract

fetched live from OpenAlex

The roles of exogenous fibres and novel cultivar genotypes (CV) of potato in influencing in vivo starch digestibility for nutritional management of human health need to be further established. Objectives of this study were to examine effects of dietary supplementation of two exogenous fibres, i.e., guar gum and cellulose, in combination with intrinsic fibres from six genotypes of potato on ileal dry matter and starch digestibility, intestinal fermentation and body weight gains in growing pigs fed a high‐fat basal diet. The basal diet was formulated as a zero‐fibre negative control (NC) to contain 41.5% poultry meal, 4% casein, 15% animal fat‐oil blend, 4.31% sucrose, 31% cornstarch, 0.50% salt and 0.40% trace mineral‐vitamin premix with crude fat contributing up to 37% of the dietary gross energy. The two exogenous fibre diets were formulated by diluting the NC basal diet with 10% guar gum and 10% cellulose at the expense of cornstarch, respectively. Six potato test diets were formulated by diluting the basal diet with 25.1% of one of the six genotypes of cooked and dehydrated potato tuber powder in combination with 8.5% guar gum at the expense of cornstarch to contain about 10% total dietary fibre. Titanium oxide was included (0.30%) as a digestibility marker. A total of 90 barrows were fitted with a simple T‐cannula at the distal ileum and fed the diets according to a completely randomized block design with each block lasting 28 d. Dietary supplementation of 10% guar gum, 10% cellulose and 8.5% guar gum in combination with each of six potatoes at 25.1% (Potato diets 1 to 6) increased ( P <0.05) the distal ileal starch recovery and decreased ( P <0.05) the ileal starch digestibility values compared with the NC diet. Three of the examined potato cultivar genotypes, i.e., CV12272‐3, CV96044‐3 and CVF05081, were associated with lower ( P <0.05) starch digestibility and higher levels of resistant starch content compared with NC. Dietary supplementation of guar gum (10%) and 8.5% guar gum in combination with each of the six potatoes (Potato diets 1 to 6) at 25.1% increased ( P <0.05) the distal ileal free glucose recovery compared with the NC. Moreover, 10% guar gum supplementation reduced ( P <0.05) the abundance of the phosphorylated mTOR (Ser2448) in the proximal jejunum compared with the NC. Dietary supplementations of 10% cellulose, 10% guar gum as well as 8.5% in combination with six individual genotypes of potatoes did not affect ( P >0.05) intestinal fermentation endpoints, weight gain and gain to feed ratio when feed intakes were controlled according to the NC. In conclusion, dietary supplementations of exogenous viscous fibre guar gum and non‐viscous fibre cellulose at 10% significantly reduced ileal starch digestibility with the 10% guar gum negatively affecting glucose absorption likely via the mTOR‐signaling pathway. Support or Funding Information Supported by AAFC and the OMAFRA‐University Partnership Program.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.017
GPT teacher head0.230
Teacher spread0.213 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicFood composition and properties→French-language works237,207→