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Record W7027904398

Dietary choline intake and biomarkers of choline status across the life cycle

2017· other· en· W7027904398 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2017
Typeother
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsnot available
Fundersnot available
KeywordsCholineIsotope dilutionDietary Reference IntakeEssential nutrientNutrientBlood plasmaHuman nutritionDilution
DOInot available

Abstract

fetched live from OpenAlex

Choline, an essential dietary nutrient for humans, is involved in a broad range of critical physiological functions as a precursor for the synthesis of acetylcholine, phospholipids, and betaine. The current dietary recommendations for choline were set as Adequate Intakes (AIs), estimated based on limited data and expressed as total choline. However, dietary choline is present in different forms, which can be classified as water-soluble forms (free choline, phosphocholine, and glycerophosphocholine), and lipid-soluble forms (phosphatidylcholine and sphingomyelin). Despite its importance, there is still limited information available about choline intake and plasma and milk concentrations. Therefore, the overall goal of my research was to advance our knowledge of choline nutrition. To address this goal, I conducted four studies on healthy participants of different age groups across the life cycle, in which dietary choline intake was assessed and/or milk and plasma concentrations of choline and metabolites were determined by stable isotope dilution liquid chromatography-tandem mass spectrometry. The first study validated a food frequency questionnaire to assess dietary total choline intake. The second study showed that the concentrations of water-soluble forms of choline in human milk samples did not differ between lactating women from a high- (Canada) and a low-income (Cambodia) countries; in both cases, the estimated means of milk total choline were below the AI for infants aged 0 – 6 mo. The third study showed that one fasted or fed blood sample was adequate to quantify plasma choline concentrations, but recent food intake increased its concentrations in healthy adults. The last study showed that plasma free choline was not associated with choline intake among toddlers, children, and adults. This research has generated a considerable body of information about choline nutrition across the life cycle. In conclusion, these results suggest an overestimation of the current choline AI for infants and possibly for lactating women, thus emphasizing a need for reevaluating the AIs. The absence of an association between dietary choline intake and plasma free choline suggests the need for a better understanding of choline nutrition and metabolism is warranted.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.000
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 head0.017
GPT teacher head0.253
Teacher spread0.237 · 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
Published2017
Admission routes1
Has abstractyes

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