Longitudinal Associations Between ATPase Inhibitory Factor 1, Growth Differentiation Factor-15, and Nutritional Status in Older Adults From the MAPT Study
Bibliographic record
Abstract
BACKGROUND: Weight and appetite regulation have been associated with the expression and secretion of ATPase inhibitory factor 1 (IF1) and growth differentiation factor-15 (GDF-15), 2 potential biomarkers for age-related mitochondrial dysfunction. The aim was to explore the associations between these biomarkers and nutritional variables in the Multidomain Alzheimer Preventive Trial study. METHODS: IF1 and GDF-15 plasma levels were quantified at 1-year follow-up. The nutritional status was measured using the Mini Nutritional Assessment (MNA) score variation between baseline and 1- and 2-year visits; appetite loss was extracted from the MNA. Bodyweight was measured every 6 months until the third year and then yearly until the fifth year of follow-up, and weight loss was established if the loss was greater than 5% or 10% within the past 6 or 12 months, respectively. Bidirectional associations of IF1 and GDF-15 levels with malnutrition, appetite, and weight loss were examined. The interactions between individual IF1 and GDF-15 with sex were explored. RESULTS: Four hundred and forty-eight participants had MNA data and 1 045 had weight loss data. All the associations between IF1 levels and the MNA score, appetite loss, and weight loss were nonsignificant. Higher GDF-15 levels were cross-sectionally associated with appetite loss at the first year of follow-up, and the GDF-15 highest quartile was associated with nearly 80% higher risks of weight loss over 4 years. Interactions between IF1 and GDF-15 levels, and between these 2 markers and sex were not significantly associated with the outcomes. CONCLUSIONS: GDF-15 plasma levels were related to key malnutrition criteria.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".