Evidence map›Paper›PMID 29197660›Full record

ArticleBiochimica et biophysica acta. Molecular basis of disease2018

Metabolomic markers of fatigue: Association between circulating metabolome and fatigue in women with chronic widespread pain.

Maxim B Freidin, Helena R R Wells, Tilly Potter, Gregory Livshits, Cristina Menni, Frances M K Williams

Open access · hybridAbstract readTwin Study
In one paragraph

Article in Biochimica et biophysica acta. Molecular basis of disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Urinary metabolites and fatigue in a population-based metabolomics study: an exploratory analysis.Metabolomics : Official journal of the Metabolomic Society · 2026
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  14. Metabolomics in chronic pain research.European journal of pain (London, England) · 2021
    Review
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  16. A laboratory approach for characterizing chronic fatigue: what does metabolomics tell us?Metabolomics : Official journal of the Metabolomic Society · 2019
    Article
  17. 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

6 authors at 1 institution in 2 countries.

Maxim B FreidinDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Helena R R WellsDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Tilly PotterDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Gregory LivshitsDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK; Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Israel.
Cristina MenniDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Frances M K WilliamsDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK. Electronic address: frances.williams@kcl.ac.uk.
King's College London · GB

Funding

Medical Research Council MR/M016560/1Versus Arthritis 20682
6 · The paper itself

Abstract

backgroundFatigue is a sensation of unbearable tiredness that frequently accompanies chronic widespread musculoskeletal pain (CWP) and inflammatory joint disease. Its mechanisms are poorly understood and there is a lack of effective biomarkers for diagnosis and onset prediction. We studied the circulating metabolome in a population sample characterised for CWP to identify biomarkers showing specificity for fatigue. MATERIAL AND

methodsUntargeted metabolomic profiling was conducted on fasting plasma and serum samples of 1106 females with and without CWP from the TwinsUK cohort. Linear mixed-effects models accounting for covariates were used to determine relationships between fatigue and metabolites. Receiver operating curve (ROC)-analysis was used to determine predictive value of metabolites for fatigue.

resultsWhile no association between fatigue and metabolites was identified in twins without CWP (n=711), in participants with CWP (n=395), levels of eicosapentaenoate (EPA) ω-3 fatty acid were significantly reduced in those with fatigue (β=-0.452±0.116; p=1.2×10

conclusionThe results of this agnostic metabolomics screening show that fatigue is metabolically distinct from CWP, and is associated with a decrease in circulating levels of EPA. Our panel of circulating metabolites provides the starting point for a diagnostic test for fatigue in CWP.

Indexed as

MetabolomeAdultAgedArea Under CurveBiomarkersChronic PainCohort StudiesC-Reactive ProteinDiseases in TwinsEicosapentaenoic AcidFatigueFatty Acids, Omega-3FemaleFuransGlycosylationHumans3-carboxy-4-methyl-5-propyl-2-furanpropionic acidBiomarkersC-Reactive ProteinEicosapentaenoic AcidFatty Acids, Omega-3FuransPropionatesTryptophanChronic widespread pain (CWP)Eicosapentaenoate (EPA)FatigueMetabolome

Identifiers

PMID29197660
PMCPMC5764223
OpenAlexW2773380187

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.