Evidence map›Paper›PMID 33633136›Full record

ArticleScientific reports2021

Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome.

Paula I Metselaar, Lucero Mendoza-Maldonado, Andrew Yung Fong Li Yim, Ilias Abarkan, Peter Henneman, Anje A Te Velde, Alexander Schönhuth, Jos A Bosch, Aletta D Kraneveld, Alejandro Lopez-Rincon

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Recent research in myalgic encephalomyelitis/chronic fatigue syndrome: an evidence map.Health technology assessment (Winchester, England) · 2025
    Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. ME/CFS: Past, Present and Future.Healthcare (Basel, Switzerland) · 2021
    Article
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.

Paula I MetselaarTytgat Institute for Liver and Intestinal Research, AGEM, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Lucero Mendoza-MaldonadoUnidad de Citogenética, Hospital Civil de Guadalajara "Juan I. Menchaca", Guadalajara, Jalisco, Mexico.
Andrew Yung Fong Li YimDepartment of Clinical Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Ilias AbarkanDivision of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands.
Peter HennemanDepartment of Clinical Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Anje A Te VeldeTytgat Institute for Liver and Intestinal Research, AGEM, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Alexander SchönhuthGenome Data Science, Faculty of Technology, Bielefeld University, Bielefeld, Germany.
Jos A BoschDepartment of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
Aletta D KraneveldDivision of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands.
Alejandro Lopez-RinconDivision of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands. a.lopezrincon@uu.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic disorder characterized by disabling fatigue. Several studies have sought to identify diagnostic biomarkers, with varying results. Here, we innovate this process by combining both mRNA expression and DNA methylation data. We performed recursive ensemble feature selection (REFS) on publicly available mRNA expression data in peripheral blood mononuclear cells (PBMCs) of 93 ME/CFS patients and 25 healthy controls, and found a signature of 23 genes capable of distinguishing cases and controls. REFS highly outperformed other methods, with an AUC of 0.92. We validated the results on a different platform (AUC of 0.95) and in DNA methylation data obtained from four public studies on ME/CFS (99 patients and 50 controls), identifying 48 gene-associated CpGs that predicted disease status as well (AUC of 0.97). Finally, ten of the 23 genes could be interpreted in the context of the derailed immune system of ME/CFS.

Indexed as

Gene Expression ProfilingGene Expression RegulationTranscriptomeBiomarkersCase-Control StudiesComputational BiologyDisease SusceptibilityDNA MethylationFatigue Syndrome, ChronicModels, BiologicalReproducibility of ResultsRNA, MessengerROC CurveBiomarkersRNA, Messenger

Identifiers

PMID33633136
PMCPMC7907358

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.