Evidence map›Paper›PMID 34791348›Full record

Trial reportThe Journal of nutrition2022

Body Composition and Metabolomics in the Alberta Physical Activity and Breast Cancer Prevention Trial.

Kathleen M McClain, Christine M Friedenreich, Charles E Matthews, Joshua N Sampson, David P Check, Darren R Brenner, Kerry S Courneya, Rachel A Murphy, Steven C Moore

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Kathleen M McClainDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.ORCID 0000-0001-5520-2097
Christine M FriedenreichDepartment of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Edmonton, AB, Canada.
Charles E MatthewsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Joshua N SampsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
David P CheckDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Darren R BrennerDepartments of Oncology and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Kerry S CourneyaFaculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB, Canada.
Rachel A MurphySchool of Population and Public Health, The University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0003-4383-5641
Steven C MooreDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
National Cancer Institute · USAlberta Health Services · CAUniversity of Alberta · CAUniversity of British Columbia · CAUniversity of Calgary · CA

Funding

Physical Activity, Energy Balance, and CancerZIACP010197 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBANES, DEMETRIUS · 2009 to 2025
$17.5M
CIHR
6 · The paper itself

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.

Indexed as

Breast NeoplasmsAbsorptiometry, PhotonAlbertaBody CompositionBody Mass IndexExerciseFemaleHumansMetabolomicsadipositybody compositionfat masslean massmetabolomicsobesity

Identifiers

PMID34791348
PMCPMC8826845
OpenAlexW3214198091

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.