Evidence map›Paper›PMID 31959772›Full record

SynthesisScientific reports2020

Metabolomic and Lipidomic Signatures of Metabolic Syndrome and its Physiological Components in Adults: A Systematic Review.

Stéphanie Monnerie, Blandine Comte, Daniela Ziegler, José A Morais, Estelle Pujos-Guillot, Pierrette Gaudreau

Abstract readSystematic Review
In one paragraph

Synthesis in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
–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

75 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Metabolic syndrome is associated with accelerated brain aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Serum Lipidomic Analysis of T2DM Patients: A Potential Biomarker Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

15 more citing papers are in PubMed but not listed here.

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

6 authors.

Stéphanie MonnerieUniversité Clermont Auvergne, INRA, UNH, Mapping, F-63000, Clermont Ferrand, France.
Blandine ComteUniversité Clermont Auvergne, INRA, UNH, Mapping, F-63000, Clermont Ferrand, France.
Daniela ZieglerCentre Hospitalier de l'Université de Montréal (CHUM), Montréal, Canada.
José A MoraisDépartement de Gériatrie, Université McGill, Montréal, Canada.
Estelle Pujos-GuillotUniversité Clermont Auvergne, INRA, UNH, Mapping, F-63000, Clermont Ferrand, France. estelle.pujos-guillot@inrae.fr.ORCID http://orcid.org/0000-0002-4693-5712
Pierrette GaudreauCentre de Recherche du CHUM, Montréal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this work was to conduct a systematic review of human studies on metabolite/lipid biomarkers of metabolic syndrome (MetS) and its components, and provide recommendations for future studies. The search was performed in MEDLINE, EMBASE, EMB Review, CINHAL Complete, PubMed, and on grey literature, for population studies identifying MetS biomarkers from metabolomics/lipidomics. Extracted data included population, design, number of subjects, sex/gender, clinical characteristics and main outcome. Data were collected regarding biological samples, analytical methods, and statistics. Metabolites were compiled by biochemical families including listings of their significant modulations. Finally, results from the different studies were compared. The search yielded 31 eligible studies (2005-2019). A first category of articles identified prevalent and incident MetS biomarkers using mainly targeted metabolomics. Even though the population characteristics were quite homogeneous, results were difficult to compare in terms of modulated metabolites because of the lack of methodological standardization. A second category, focusing on MetS components, allowed comparing more than 300 metabolites, mainly associated with the glycemic component. Finally, this review included also publications studying type 2 diabetes as a whole set of metabolic risks, raising the interest of reporting metabolomics/lipidomics signatures to reflect the metabolic phenotypic spectrum in systems approaches.

Indexed as

Lipid MetabolismMetabolomicsAdultAgedBiomarkersDiabetes Mellitus, Type 2FemaleHumansIncidenceMaleMetabolic SyndromeMiddle AgedPhenotypePrevalenceRiskBiomarkers

Identifiers

PMID31959772
PMCPMC6971076

What OpenQuestion holds

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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.