Evidence map›Paper›PMID 26274920›Full record

Trial reportPloS one2015

Reliability of Serum Metabolites over a Two-Year Period: A Targeted Metabolomic Approach in Fasting and Non-Fasting Samples from EPIC.

Marion Carayol, Idlir Licaj, David Achaintre, Carlotta Sacerdote, Paolo Vineis, Timothy J Key, N Charlotte Onland Moret, Augustin Scalbert, Sabina Rinaldi, Pietro Ferrari

Registry-linked trialOpen access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04117204 (Identifying a Cardiorenal Protective Diet in a Lower-income African American Population With Chronic Kidney Disease at Risk for Cardiovascular Disease.), which is not on this map. Cited by 92 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% 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.

NCT04117204 nacompletednot on this mapstarted 2019, after this paper: background citation

Identifying a Cardiorenal Protective Diet in a Lower-income African American Population With Chronic Kidney Disease at Risk for Cardiovascular Disease.

TypeinterventionalSponsorBaylor Research InstituteRan2019 to 2020Enrolled101ConditionsChronic Kidney Diseases, Cardiovascular Diseases, HypertensionArmsFruits and Vegetables
3 · Its place in the literature

Who cites it

92 citing papers in PubMed, 2 syntheses or guidelines pooled it, 135 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
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  6. Trial
  7. Article
  8. Prediagnostic Plasma Metabolite Profiles and Prediction of Hepatocellular Carcinoma Risk: The Multiethnic Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  9. Article
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  15. Identifying Metabolomic Mediators of the Physical Activity and Colorectal Cancer Relationship.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  16. Article
  17. Review
  18. Plasma metabolomics profiles and breast cancer risk.Breast cancer research : BCR · 2024
    Article
  19. Observational
  20. Article

32 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

10 authors at 6 institutions in 5 countries.

Marion CarayolInternational Agency for Research on Cancer, Lyon, France.
Idlir LicajInternational Agency for Research on Cancer, Lyon, France; Institute of Community Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway.
David AchaintreInternational Agency for Research on Cancer, Lyon, France.
Carlotta SacerdoteUnit of Cancer Epidemiology, AO Citta' della Salute e della Scienza-University of Turin and Center for Cancer Prevention (CPO-Piemonte), Turin, Italy.
Paolo VineisHuman Genetics Foundation (HuGeF), Turin, Italy; School of Public Health, Imperial College London, London, United Kingdom.
Timothy J KeyCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
N Charlotte Onland MoretDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands.
Augustin ScalbertInternational Agency for Research on Cancer, Lyon, France.
Sabina RinaldiInternational Agency for Research on Cancer, Lyon, France.
Pietro FerrariInternational Agency for Research on Cancer, Lyon, France.
Centre International de Recherche sur le Cancer · FRImperial College London · GBPiedmont Reference Center for Epidemiology and Cancer Prevention · ITUiT The Arctic University of Norway · NOUniversity Medical Center Utrecht · NLUniversity of Oxford · GB

Funding

Cancer Research UK 16491World Health Organization 001
6 · The paper itself

Abstract

objectiveAlthough metabolic profiles have been associated with chronic disease risk, lack of temporal stability of metabolite levels could limit their use in epidemiological investigations. The present study aims to evaluate the reliability over a two-year period of 158 metabolites and compare reliability over time in fasting and non-fasting serum samples.

methodsMetabolites were measured with the AbsolueIDQp180 kit (Biocrates, Innsbruck, Austria) by mass spectrometry and included acylcarnitines, amino acids, biogenic amines, hexoses, phosphatidylcholines and sphingomyelins. Measurements were performed on repeat serum samples collected two years apart in 27 fasting men from Turin, Italy, and 39 non-fasting women from Utrecht, The Netherlands, all participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Reproducibility was assessed by estimating intraclass correlation coefficients (ICCs) in multivariable mixed models.

resultsIn fasting samples, a median ICC of 0.70 was observed. ICC values were <0.50 for 48% of amino acids, 27% of acylcarnitines, 18% of lysophosphatidylcholines and 4% of phosphatidylcholines. In non-fasting samples, the median ICC was 0.54. ICC values were <0.50 for 71% of acylcarnitines, 48% of amino acids, 44% of biogenic amines, 36% of sphingomyelins, 34% of phosphatidylcholines and 33% of lysophosphatidylcholines. Overall, reproducibility was lower in non-fasting as compared to fasting samples, with a statistically significant difference for 19-36% of acylcarnitines, phosphatidylcholines and sphingomyelins.

conclusionA single measurement per individual may be sufficient for the study of 73% and 52% of the metabolites showing ICCs >0.50 in fasting and non-fasting samples, respectively. ICCs were higher in fasting samples that are preferable to non-fasting.

Indexed as

MetabolomeMetabolomicsAdultFastingFemaleHumansMaleMiddle Aged

Identifiers

PMID26274920
PMCPMC4537119
OpenAlexW1765294315

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.