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Record W3028047467 · doi:10.1002/eat.23292

Plasma levels of o<scp>ne‐carbon</scp> metabolism nutrients in women with anorexia nervosa

2020· article· en· W3028047467 on OpenAlexafffund
Jessica Burdo, Linda Booij, Esther Kahan, Lea Thaler, Mimi Israël, Luis B. Agellon, Evan Nitschmann, Linda Wykes, Howard Steiger

Bibliographic record

VenueInternational Journal of Eating Disorders · 2020
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversité de MontréalConcordia UniversityCentre Hospitalier Universitaire Sainte-JustineDouglas CollegeMcGill UniversityDouglas Mental Health University Institute
FundersCanadian Institutes of Health Research
KeywordsNutrientAnorexia nervosaCholineVitamin B12Internal medicineBetaineEndocrinologyMalnutritionBody mass indexMethionineAnorexiaEating disordersMedicinePhysiologyPsychologyBiologyPsychiatryEcologyBiochemistryAmino acid

Abstract

fetched live from OpenAlex

OBJECTIVE: People who are ill with anorexia nervosa (AN) show altered availability of key plasma nutrients. However, little is known about the patterning of alterations that occurs across diverse nutrients during active phases of illness or about the persistence of any such alterations following remission of illness. METHOD: We compared plasma levels of one-carbon metabolism nutrients across women with active AN (AN-Active: n = 53), in remission from AN (AN-Remitted: n = 40), or who had no eating-disorder history (NED: n = 36). We also tested associations between body mass index (BMI) changes and changes in pre- to posttreatment nutrient levels, and explored the association between nutrient levels, on the one hand, and BMI and eating symptoms, on the other. Choline, betaine, and methionine were analyzed using mass spectrometry. Folate and B12 were analyzed using the AccuBind® ELISA kit. Eating-disorder symptoms were assessed by interview and self-report. RESULTS: Compared to NED individuals, AN-Active individuals exhibited significantly elevated B12 and (less-reliably) betaine. In AN-Active individuals, lower BMI was associated with higher B12. DISCUSSION: The observed alterations run contrary to the intuition that plasma nutrient levels should be directly responsive to nutritional status and suggest, instead, the existence of compensatory adaptations to malnutrition in individuals with active AN. Further study is required to clarify mechanisms that underlie such effects.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.727

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 science0.0010.000
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 head0.019
GPT teacher head0.288
Teacher spread0.269 · 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

Citations6
Published2020
Admission routes2
Has abstractyes

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