Evidence map›Paper›PMID 28517934›Full record

ArticleJournal of proteome research2017

Plasma and Serum Metabolite Association Networks: Comparability within and between Studies Using NMR and MS Profiling.

Maria Suarez-Diez, Jonathan Adam, Jerzy Adamski, Styliani A Chasapi, Claudio Luchinat, Annette Peters, Cornelia Prehn, Claudio Santucci, Alexandros Spyridonidis, Georgios A Spyroulias and 3 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Journal of proteome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Clinical lipidomics in bacterial sepsis: a systematic review of serum and plasma evaluations.Metabolomics : Official journal of the Metabolomic Society · 2026
    Pooled it
  2. Pooled it
  3. Unveiling the metabolomic profile of growth hormone deficiency children using NMR spectroscopy.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  4. Review
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  9. NMR-based metabolic profiling of children with premature adrenarche.Metabolomics : Official journal of the Metabolomic Society · 2022
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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

13 authors at 6 institutions in 4 countries.

Maria Suarez-DiezLaboratory of Systems and Synthetic Biology, Wageningen University & Research , Stippeneng 4, 6708 WE Wageningen, The Netherlands.ORCID 0000-0001-5845-146X
Jonathan AdamResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München , 85764 München-Neuherberg, Germany.
Jerzy AdamskiGerman Center for Diabetes Research (DZD), Helmholtz Zentrum München , 85764 München-Neuherberg, Germany.ORCID 0000-0001-9259-0199
Styliani A ChasapiDepartment of Pharmacy, University of Patras , 26504 Rio, Greece.
Claudio LuchinatMagnetic Resonance Center (CERM), University of Florence , Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy.ORCID 0000-0003-2271-8921
Annette PetersResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München , 85764 München-Neuherberg, Germany.
Cornelia PrehnInstitute of Experimental Genetics, Helmholtz Zentrum München , 85764 München-Neuherberg, Germany.
Claudio SantucciMagnetic Resonance Center (CERM), University of Florence , Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy.
Alexandros SpyridonidisBone Marrow Transplantation Unit, University Hospital Patras , 26500 Rio, Greece.
Georgios A SpyrouliasDepartment of Pharmacy, University of Patras , 26504 Rio, Greece.
Leonardo TenoriDepartment of Experimental and Clinical Medicine, University of Florence , Largo Brambilla 3, 501134 Florence, Italy.
Rui Wang-SattlerResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München , 85764 München-Neuherberg, Germany.
Edoardo SaccentiLaboratory of Systems and Synthetic Biology, Wageningen University & Research , Stippeneng 4, 6708 WE Wageningen, The Netherlands.ORCID 0000-0001-8284-4829
Helmholtz Zentrum München · DEInteruniversity Consortium for Magnetic Resonance · ITUniversity of Patras · GRWageningen University & Research · NLGeneral University Hospital of Patras · GRUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood is one of the most used biofluids in metabolomics studies, and the serum and plasma fractions are routinely used as a proxy for blood itself. Here we investigated the association networks of an array of 29 metabolites identified and quantified via NMR in the plasma and serum samples of two cohorts of ∼1000 healthy blood donors each. A second study of 377 individuals was used to extract plasma and serum samples from the same individual on which a set of 122 metabolites were detected and quantified using FIA-MS/MS. Four different inference algorithms (ARANCE, CLR, CORR, and PCLRC) were used to obtain consensus networks. The plasma and serum networks obtained from different studies showed different topological properties with the serum network being more connected than the plasma network. On a global level, metabolite association networks from plasma and serum fractions obtained from the same blood sample of healthy people show similar topologies, and at a local level, some differences arise like in the case of amino acids.

Indexed as

AdolescentAdultAgedAged, 80 and overAmino AcidsCarboxylic AcidsFemaleHealthy VolunteersHumansLipidsMagnetic Resonance SpectroscopyMaleMetabolomeMiddle AgedPlasmaSerumAmino AcidsCarboxylic AcidsLipidsbloodcorrelationsdifferential network analysislow molecular weight metabolitesmutual informationnetwork inferencenetwork topologyplasmaserum

Identifiers

PMID28517934
PMCPMC5645760
OpenAlexW2615428808

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.