Evidence map›Paper›PMID 34498155›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2021

Sarcopenic metabolomic profile reflected a sarcopenic phenotype associated with amino acid and essential fatty acid changes.

Rafael Opazo, Bárbara Angel, Carlos Márquez, Lydia Lera, Gustavo R Cardoso Dos Santos, Gustavo Monnerat, Cecilia Albala

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Article in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  6. Review
  7. Metabolomics-driven discovery of therapeutic targets for cancer cachexia.Journal of cachexia, sarcopenia and muscle · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Fatty acid amides as potential circulating biomarkers for sarcopenia.Journal of cachexia, sarcopenia and muscle · 2023
    Article
  13. Article
  14. Review
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

7 authors at 4 institutions in 3 countries.

Rafael OpazoLaboratorio de Biotecnología INTA, Universidad de Chile, Santiago, Chile.
Bárbara AngelUnidad de Nutrición Pública INTA, Universidad de Chile, Santiago, Chile.
Carlos MárquezUnidad de Nutrición Pública INTA, Universidad de Chile, Santiago, Chile.
Lydia LeraUnidad de Nutrición Pública INTA, Universidad de Chile, Santiago, Chile.
Gustavo R Cardoso Dos SantosLaboratório de Pesquisa, Desenvolvimento e Inovação (LPDI-LADETEC), Instituto de Química Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Gustavo MonneratLaboratório de Pesquisa, Desenvolvimento e Inovação (LPDI-LADETEC), Instituto de Química Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Cecilia AlbalaUnidad de Nutrición Pública INTA, Universidad de Chile, Santiago, Chile. calbala@uchile.cl.ORCID 0000-0002-6135-334X
University of Chile · CLUniversidade Federal do Rio de Janeiro · BRFundação Oswaldo Cruz · BRKeiser University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough sarcopenia greatly affects health and quality of life in older people, its pathophysiological causes are not fully elucidated. To face this challenge, omics technologies can be used. The metabolome gives a vision of the interaction between the genome and the environment through metabolic networks, thus contributing in clarifying the pathophysiology of the sarcopenic phenotype.

objectivesThe main goal of this study was to compare the plasma metabolome of sarcopenic and non-sarcopenic older people.

methodsCross-sectional study of 20 sarcopenic and 21 non-sarcopenic older subjects with available frozen plasma samples. Non-targeted metabolomic study by ultra-high-performance liquid chromatography-electrospray ionization tandem mass spectrometry (UHPLC-ESI-MS/MS) analysis with later bioinformatics data analysis. Once the significantly different metabolites were identified, the KEGG database was used on them to establish which were the metabolic pathways mainly involved.

resultsFrom 657 features identified, 210 showed significant differences between the study groups, and 30 had a FoldChangeLog

conclusionsThe study results allowed us to confirm that the concept of "sarcopenic phenotype" is also witnessed at the plasma metabolite levels. The non-targeted metabolomics study can open a wide view of the sarcopenic features changes at the plasma level, which would be linked to the sarcopenic physiopathological alterations.

Indexed as

SarcopeniaAgedAmino AcidsCross-Sectional StudiesFatty Acids, EssentialHumansMetabolomicsPhenotypeQuality of LifeTandem Mass SpectrometryAmino AcidsFatty Acids, EssentialMetabolic pathwaysMetabolomePrecision medicineSarcopeniaUHPLC-ESI–MS/MS

Identifiers

PMID34498155
OpenAlexW3198752567

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.