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Record W2330815192 · doi:10.1021/jf401758f

Hypaphorine Is Present in Human Milk in Association with Consumption of Legumes

2013· article· en· W2330815192 on OpenAlexaff
Bernd O. Keller, Brian T. Wu, Stephanie S. J. Li, Vishakha Monga, Sheila M. Innis

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2013
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsChild and Family Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsTryptophanFood scienceExcretionChemistryBiologyBiochemistryAmino acid

Abstract

fetched live from OpenAlex

In metabolomic analysis of human milk amines, we found a previously unidentified compound. This was tentatively identified as hypaphorine, an indole alkaloid composed of tryptophan and three methyls, and with neurological and glucose-lowering effects in rodents. Hypaphorine identity was confirmed by hypaphorine synthesis, and then a fluorometric method was developed to quantify hypaphorine in milk and foods. Using dietary records, we identified peanut products as probable sources of hypaphorine. Milk from 24 lactating women showed widely varying hypaphorine, with a mean ± SD 0.34 ± 0.33 μM, and the highest concentration of 1.24 μM. Peanuts showed high hypaphorine of 70 μg/g compared to 60 and 100 μg/g in dried chickpeas and lentils. Dietary challenge in lactating women with hypaphorine-rich foods demonstrated transfer of hypaphorine into milk with hypaphorine appearance peaking 5-18 h after consumption and prolonged disappearance indicative of slow excretion or metabolism. The potential functional roles of hypaphorine in human nutrition remain to be addressed.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.154

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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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

Citations39
Published2013
Admission routes1
Has abstractyes

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