Evidence map›Paper›PMID 29974226›Full record

ArticleEuropean journal of nutrition2019

Metabolite profiles evaluated, according to sex, do not predict resting energy expenditure and lean body mass in healthy non-obese subjects.

M Armbruster, M Rist, S Seifert, L Frommherz, C Weinert, C Mack, A Roth, B Merz, D Bunzel, R Krüger and 3 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Review
  3. Leveraging Multiomic Signatures to Predict Body Composition.Advances in nutrition (Bethesda, Md.) · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

13 authors at 1 institution in 1 country.

M ArmbrusterDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
M RistDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
S SeifertDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
L FrommherzDepartment of Quality and Safety of Fruit and Vegetables, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
C WeinertDepartment of Quality and Safety of Fruit and Vegetables, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
C MackDepartment of Quality and Safety of Fruit and Vegetables, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
A RothDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
B MerzDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
D BunzelDepartment of Quality and Safety of Fruit and Vegetables, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
R KrügerDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
S KullingDepartment of Quality and Safety of Fruit and Vegetables, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
B WatzlDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
A BubDepartment of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany. achim.bub@mri.bund.de.
Max Rubner Institut · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDifferences in resting energy expenditure (REE) between men and women mainly result from sex-related differences in lean body mass (LBM). So far, a little is known about whether REE and LBM are reflected by a distinct human metabolite profile. Therefore, we aimed to identify plasma and urine metabolite patterns that are associated with REE and LBM of healthy subjects.

methodsWe investigated 301 healthy male and female subjects (18-80 years) under standardized conditions in the cross-sectional KarMeN (Karlsruhe Metabolomics and Nutrition) study. REE was determined by indirect calorimetry and LBM by dual X-ray absorptiometry. Fasting blood and 24 h urine samples were analyzed by targeted and non-targeted metabolomics methods using GC × GC-MS, GC-MS, LC-MS, and NMR. Data were evaluated by predictive modeling of combined data using different machine learning algorithms, namely SVM, glmnet, and PLS.

resultsWhen evaluating data of men and women combined, we were able to predict REE and LBM with high accuracy (> 90%). This, however, was a clear effect of sex, which is supported by the high degree of overlap in identified important metabolites for LBM, REE, and sex, respectively. The applied machine learning algorithms did not reveal a metabolite pattern predictive of REE or LBM, when analyzing data for men and women, separately.

conclusionsWe could not identify a sex independent predictive metabolite pattern for REE or LBM. REE and LBM have no impact on plasma and urine metabolite profiles in the KarMeN Study participants. Studies applying metabolomics in healthy humans need to consider sex specific data evaluation.

Indexed as

Absorptiometry, PhotonAdolescentAdultAgedAged, 80 and overBasal MetabolismBody CompositionCross-Sectional StudiesFemaleHealthy VolunteersHumansMaleMetabolomeMiddle AgedReference ValuesSex FactorsHuman metabolismLean body massMetabolite profilesMetabolomicsResting energy expenditureSex differences

Identifiers

PMID29974226
PMCPMC6689277
OpenAlexW2810631721

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.