Trial reportThe Journal of nutrition2022
Body Composition and Metabolomics in the Alberta Physical Activity and Breast Cancer Prevention Trial.
Trial report in The Journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 18 citations in OpenAlex.
- Multimodal (Bio)Markers and Risk of Obesity - A Comprehensive Scoping Review.Advances in nutrition (Bethesda, Md.) · 2026Article
- Steroid hormone metabolites and mammographic breast density in premenopausal women.British journal of cancer · 2026Article
- Metabolites and lipid species mediate the associations of adiposity in childhood and early adulthood with mammographic breast density in premenopausal women.Breast cancer research : BCR · 2025Article
- Effect of Strength Training on Body Composition, Volumetrics and Strength in Female Breast Cancer Survivors.Healthcare (Basel, Switzerland) · 2024Article
- Analysis of plasma metabolomes from 11 309 subjects in five population-based cohorts.Scientific reports · 2024Article
- Plasma metabolites of a healthy lifestyle in relation to mortality and longevity: Four prospective US cohort studies.Med (New York, N.Y.) · 2024Article
- Who is Focusing on Women's Health: A Bibliometric Analysis of Global Research Trends on Overweight in Female Patients with Gynecologic or Breast Cancer.International journal of women's health · 2024Article
- Metabolomic profiling reveals key metabolites associated with hypertension progression.Frontiers in cardiovascular medicine · 2024Article
- The metabolomic profiling of total fat and fat distribution in a multi-cohort study of women and men.Scientific reports · 2023Article
- Exploring the association of physical activity with the plasma and urine metabolome in adolescents and young adults.Nutrition & metabolism · 2023Article
- A comparison of associations of body mass index and dual-energy x-ray absorptiometry measured percentage fat and total fat with global serum metabolites in young women.Obesity (Silver Spring, Md.) · 2023Article
- Research advances in the application of metabolomics in exercise science.Frontiers in physiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundObesity is correlated with many biomarkers, but the extent to which these correlate with underlying body composition is poorly understood.
objectivesOur objectives were to 1) describe/compare distinct contributions of fat/lean mass with BMI-metabolite correlations and 2) identify novel metabolite biomarkers of fat/lean mass.
methodsThe Alberta Physical Activity and Breast Cancer Prevention Trial was a 2-center randomized trial of healthy, inactive, postmenopausal women (n = 304). BMI (in kg/m2) was calculated using weight and height, whereas DXA estimated fat/lean mass. Ultra-performance liquid chromatography and mass spectrometry measured relative concentrations of serum metabolite concentrations. We estimated partial Pearson correlations between 1052 metabolites and BMI, adjusting for age, smoking, and site. Fat mass index (FMI; kg/m2) and lean mass index (LMI; kg/m2) correlations were estimated similarly, with mutual adjustment to evaluate independent effects.
resultsUsing a Bonferroni-corrected α level <4.75 × 10-5, we observed 53 BMI-correlated metabolites (|r| = 0.24-0.42). Of those, 21 were robustly correlated with FMI (|r| > 0.20), 25 modestly (0.10 ≤ |r| ≤ 0.20), and 7 virtually null (|r| < 0.10). Ten of 53 were more strongly correlated with LMI than with FMI. Examining non-BMI-correlated metabolites, 6 robustly correlated with FMI (|r| = 0.24-0.31) and 2 with LMI (r = 0.25-0.26). For these, correlations for fat and lean mass were in opposing directions compared with BMI-correlated metabolites, in which correlations were mostly in the same direction.
conclusionsOur results demonstrate how a thorough evaluation of the components of fat and lean mass, along with BMI, provides a more accurate assessment of the associations between body composition and metabolites than BMI alone. Such an assessment makes evident that some metabolites correlated with BMI predominantly reflect lean mass rather than fat, and some metabolites related to body composition are not correlated with BMI. Correctly characterizing these relations is important for an accurate understanding of how and why obesity is associated with disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.