Plasma levels of o<scp>ne‐carbon</scp> metabolism nutrients in women with anorexia nervosa
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".