Evidence map›Paper›PMID 31208054›Full record

ArticleMetabolites2019

Comparison of the Serum Metabolic Fingerprint of Different Exercise Modes in Men with and without Metabolic Syndrome.

Aikaterina Siopi, Olga Deda, Vasiliki Manou, Ioannis Kosmidis, Despina Komninou, Nikolaos Raikos, Georgios A Theodoridis, Vassilis Mougios

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Metabolomics in Exercise and Sports: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2022
    Pooled it
  2. Pooled it
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  4. Observational
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  6. Article
  7. Review
  8. Review
  9. Recent Progress in Metabolic Syndrome Research and Therapeutics.International journal of molecular sciences · 2021
    Review
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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

8 authors at 2 institutions in 1 country.

Aikaterina SiopiSchool of Physical Education and Sport Science, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. renasiopi@gmail.com.ORCID 0000-0003-2875-0535
Olga DedaSchool of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. oliadmy@gmail.com.ORCID 0000-0003-3642-7367
Vasiliki ManouSchool of Physical Education and Sport Science, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. vmanou@phed.auth.gr.
Ioannis KosmidisSchool of Physical Education and Sport Science, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. ikosmidia@phed.auth.gr.
Despina KomninouDepartment of Nutrition and Dietetics, Alexander Technological Educational Institute of Thessaloniki, 57400 Sindos, Greece. komninoud@gmail.com.
Nikolaos RaikosCenter for Interdisciplinary Research and Innovation, BIOMIC_AUTh (CIRI-AUTH), Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece. raikos@med.auth.gr.
Georgios A TheodoridisSchool of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. gtheodor@chem.auth.gr.ORCID 0000-0002-2015-108X
Vassilis MougiosSchool of Physical Education and Sport Science, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. mougios@auth.gr.ORCID 0000-0002-8430-7231
Aristotle University of Thessaloniki · GRAlexander Technological Educational Institute of Thessaloniki · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exercise plays a beneficial role in the treatment of metabolic syndrome (MetS). Metabolomics can provide new insights and facilitate the optimization of exercise prescription. This study aimed to investigate whether the response of the human serum metabolic fingerprint to exercise depends on exercise mode or the presence of MetS. Twenty-three sedentary men (nine with MetS and fourteen healthy) completed four trials: Resting, high-intensity interval exercise (HIIE), continuous moderate-intensity exercise (CME), and resistance exercise (RE). Blood samples were collected pre-exercise, immediately after exercise, and 1 h post-exercise for targeted metabolomic analysis in serum by liquid chromatography-mass spectrometry. Time exerted the strongest differentiating effect, followed by exercise mode. The largest changes from baseline were found in the immediate post-exercise samples. RE caused the strongest responses overall, followed by HIIE, while CME had minimal effect. Unlike previous results in urine, no valid model could separate the two groups in serum. Exercise exerted a beneficial effect on prominent serum biomarkers of metabolic risks, such as branched-chain amino acids, alanine, acetylcarnitine, choline, and betaine. These findings contribute to the ongoing research efforts to map the molecular responses to exercise and to optimize exercise guidelines for individuals at cardiometabolic risk.

Indexed as

exercise modemetabolic syndromemetabolomicsserum metabolites

Identifiers

PMID31208054
PMCPMC6631338
OpenAlexW2950791660

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.