Body Composition and Metabolomics in the Alberta Physical Activity and Breast Cancer Prevention Trial (OR09-02-19)
Notice bibliographique
Résumé
Recent metabolomics studies have identified metabolic correlates of body mass index (BMI), but the degree to which correlations are driven by fat mass as opposed to lean mass has not been established. Our objectives were to 1) replicate findings of BMI-metabolite correlations, and 2) to describe the contributions of FM and LM to the BMI-metabolite associations. The Alberta Physical Activity and Breast Cancer Prevention Trial was a two-center randomized trial of healthy but inactive, postmenopausal women (N = 304). BMI (kg/m2) was calculated using measured weight and height, while whole body dual X-ray absorptiometry estimated fat mass and lean mass. Serum metabolite levels were measured by ultra-performance liquid chromatography and high-resolution/accurate mass spectrometer. We estimated partial Pearson correlations between 1053 metabolites and BMI, adjusting for age, smoking, and study site. Fat mass/m2 and lean mass/m2 correlations were estimated similarly, with mutual adjustment for one another to evaluate independent effects after accounting for their positive intercorrelation. Using a Bonferroni-corrected alpha-level <4.75 × 10–5, we observed 39 metabolites correlated with BMI (|r|:0.24–0.42; lowest p-value:7.53 × 10–14), including 25 metabolites that replicate previously-reported associations. Of metabolites correlated with BMI, only 14 were robustly correlated with fat mass/m2 (|r| > 0.20), and five had virtually no fat mass/m2 correlation (|r| < 0.10). Six metabolites were more strongly correlated with lean mass/m2 than with fat mass/m2. When we extended the analysis to all metabolites, we found another eight metabolites that were robustly correlated with fat mass/m2 (|r|:0.24–0.29) and three with lean mass/m2 (r:0.24–0.27) despite no statistically significant correlation with BMI. BMI may be insufficiently specific, in some cases, for studies of the metabolic effects of adiposity. Many BMI-related metabolites are only weakly correlated with fat mass; some are more directly related to lean mass than fat mass. For those metabolites already being studied in relation to disease risk (e.g., branched chain amino acids), our study demonstrates which aspect of body composition may primarily underlie metabolite-disease associations. National Institutes of Health Intramural Research Program, Canadian Breast Cancer Research Alliance.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».