Evidence map›Paper›PMID 35323648›Full record

ArticleMetabolites2022

Age, Sex, Body Mass Index, Diet and Menopause Related Metabolites in a Large Homogeneous Alpine Cohort.

Vinicius Verri Hernandes, Nikola Dordevic, Essi Marjatta Hantikainen, Baldur Bragi Sigurdsson, Sigurður Vidir Smárason, Vanessa Garcia-Larsen, Martin Gögele, Giulia Caprioli, Ilaria Bozzolan, Peter P Pramstaller and 1 more

Abstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Article
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  6. Clinical and Metabolic Signatures ofKidney international reports · 2025
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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

11 authors.

Vinicius Verri HernandesInstitute for Biomedicine (Affiliated to the University of Lübeck), Eurac Research, 39100 Bozen, Italy.ORCID 0000-0002-3057-6460
Nikola DordevicInstitute for Biomedicine (Affiliated to the University of Lübeck), Eurac Research, 39100 Bozen, Italy.
Essi Marjatta HantikainenInstitute for Biomedicine (Affiliated to the University of Lübeck), Eurac Research, 39100 Bozen, Italy.
Baldur Bragi SigurdssonInstitute for Biomedicine (Affiliated to the University of Lübeck), Eurac Research, 39100 Bozen, Italy.ORCID 0000-0002-2949-8725
Sigurður Vidir SmárasonInstitute for Biomedicine (Affiliated to the University of Lübeck), Eurac Research, 39100 Bozen, Italy.
Vanessa Garcia-LarsenProgram in Human Nutrition, Department of International Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Martin GögeleInstitute for Biomedicine (Affiliated to the University of Lübeck), Eurac Research, 39100 Bozen, Italy.ORCID 0000-0003-4785-4348
Giulia CaprioliInstitute for Biomedicine (Affiliated to the University of Lübeck), Eurac Research, 39100 Bozen, Italy.
Ilaria BozzolanInstitute for Biomedicine (Affiliated to the University of Lübeck), Eurac Research, 39100 Bozen, Italy.
Peter P PramstallerInstitute for Biomedicine (Affiliated to the University of Lübeck), Eurac Research, 39100 Bozen, Italy.
Johannes RainerInstitute for Biomedicine (Affiliated to the University of Lübeck), Eurac Research, 39100 Bozen, Italy.ORCID 0000-0002-6977-7147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics in human serum samples provide a snapshot of the current metabolic state of an individuum. Metabolite concentrations are influenced by both genetic and environmental factors. Concentrations of certain metabolites can further depend on age, sex, menopause, and diet of study participants. A better understanding of these relationships is pivotal for the planning of metabolomics studies involving human subjects and interpretation of their results. We generated one of the largest single-site targeted metabolomics data sets consisting of 175 quantified metabolites in 6872 study participants. We identified metabolites significantly associated with age, sex, body mass index, diet, and menopausal status. While most of our results agree with previous large-scale studies, we also found novel associations including serotonin as a sex and BMI-related metabolite and sarcosine and C2 carnitine showing significantly higher concentrations in post-menopausal women. Finally, we observed strong associations between higher consumption of food items and certain metabolites, mostly phosphatidylcholines and lysophosphatidylcholines. Most, and the strongest, relationships were found for habitual meat intake while no significant relationships were found for most fruits, vegetables, and grain products. Summarizing, our results reconfirm findings from previous population-based studies on an independent cohort. Together, these findings will ultimately enable the consolidation of sets of metabolites which are related to age, sex, BMI, and menopause as well as to participants' diet.

Indexed as

agingbody mass indexdietgender differencesmenopausemetabolomics

Identifiers

PMID35323648
PMCPMC8955763

What Socratic holds

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LicenceCC BY
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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 Socratic graph.