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Artificially Sweetened Vitamin Drink Consumption Reduces Insulin Sensitivity and Alters One‐Carbon, B‐Vitamin Dependent Metabolism in Adolescents

2018· article· en· W3174953154 on OpenAlexaffabout
Shyamchand Mayengbam, Heidi Virtanen, Dustin S. Hittel, Charlene Elliott, Raylene A. Reimer, Hans J. Vogel, Jane Shearer

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsCrossover studyInsulinVitaminFood scienceEndocrinologyInternal medicinePlaceboVitamin CHormoneVitamin D and neurologyMedicineChemistry

Abstract

fetched live from OpenAlex

Importance Discretionary fortified beverages contain several ingredients such as vitamins and minerals in excess amounts, yet their consumption and sales have been burgeoning. Marketed as providing a unique health benefits to consumers, concerns have been raised about the overconsumption of some nutrients, especially in children and adolescents. Objective To evaluate the impact of discretionary fortified beverage consumption on energy metabolism, gut hormones and metabolic profiles of adolescents. Design A double blind, randomized, placebo‐controlled crossover trial examined the metabolic effects of a concentrated, small format B‐vitamin fortified beverage. Healthy adolescents (10 males, 10 females, 13–19y) completed two trials separated by at least 1 week, consuming either water as placebo (PL) or an artificially sweetened discretionary fortified beverage (FB, 1.5ml/kg), which were given 40min prior to an oral glucose tolerance test (OGTT). Method Blood samples were collected at baseline and at different time‐points throughout the OGTT for insulin, gut hormones and 1 H‐NMR spectroscopy‐based metabolomics analyses. To evaluate gene‐metabolic interactions, a group of the most common single nucleotide polymorphisms (SNPs) linked to B‐vitamin metabolism was also assessed. Results Plasma glucose was not different between the treatment groups (p=0.111). However, plasma insulin was significantly higher in the FB group (p=0.003) and accompanied by a 28% decrease in insulin sensitivity in FB compared to PL as indicated by the composite Insulin Sensitivity Index (ISI). Gut hormone secretion was also differentially modulated by the consumption of FB. We found a significant increase in AUC of GLP‐1 (p<0.001), glucagon (p=0.015), PYY (p=0.001) and C‐peptide (p=0.017) in FB compared to the PL group. Employing 1 H‐NMR metabolomics, we also show perturbations to one carbon, B‐vitamin linked sulfur amino acid metabolism with FB consumption. This metabolic response was dependent on genotypic variance at rs651852 (Betaine Homocysteine methyltransferase, BHMT, p<0.05). Conclusion Current data provide evidence that FB are not inert, but may promote insulin resistance, perturb one carbon, B‐vitamin‐linked metabolism and differentially modulate gut hormone secretion in adolescent consumers. Results may warrant reconsideration of regular, artificially sweetened FB consumption for adolescents at risk for obesity and metabolic disease. Support or Funding Information The research was funded by the Alberta Children's Hospital Research Institute and the National Science and Engineering Council of Canada (JS). SM is funded through an Eyes High Postdoctoral Fellowship and an Alberta Innovates Health Solutions Postdoctoral Fellowship. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.005

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 integrity0.0000.000
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 head0.015
GPT teacher head0.245
Teacher spread0.230 · 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
Published2018
Admission routes2
Has abstractyes

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