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Record W3149710726 · doi:10.1126/scitranslmed.abb0322

Increasing breast milk betaine modulates <i>Akkermansia</i> abundance in mammalian neonates and improves long-term metabolic health

2021· article· en· W3149710726 on OpenAlexfundno aff
Sílvia Ribó, David Sánchez‐Infantes, Laura Martinez-Guino, Izaskun García‐Mantrana, Marta Ramon‐Krauel, Mireia Tondo, Erland Arning, Miquel Nofrarías, Óscar Osorio-Conles, Antonio Fernández-Pérez, Pedro González‐Torres, Judith Cebrià, Aleix Gavaldà‐Navarro, Empar Chenoll, Elvira Isganaitis, Francesc Villarroya, Mario Vallejo, Joaquím Segalés, Josep C. Jiménez‐Chillarón, Teodoro Bottiglieri, Ellen W. Demerath, David A. Fields, María Carmen Collado, Carles Lerín

Bibliographic record

VenueScience Translational Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsnot available
FundersEuropean Research CouncilNational Institutes of HealthEli Lilly and CompanyHorizon 2020 Framework ProgrammeInstitute of GeneticsMedical Council of CanadaH2020 European Research CouncilEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentAjinomoto Pharmaceuticals
KeywordsBetaineOffspringLactationBreast milkPhysiologyBreast feedingEndocrinologyBiologyInternal medicineChemistryMedicinePregnancyBiochemistryPediatricsGenetics

Abstract

fetched live from OpenAlex

to mouse pups during the lactation period partially replicated the effects of maternal breast milk betaine, including increased intestinal goblet cell number, lower adiposity, and improved glucose homeostasis during adulthood. These data demonstrate a link between breast milk betaine content and long-term metabolic health of offspring.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.020
GPT teacher head0.309
Teacher spread0.289 · 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

Citations56
Published2021
Admission routes1
Has abstractyes

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