Evidence map›Paper›PMID 30486733›Full record

ReviewMolecular pain

Fibromyalgia: Genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers.

Simona D'Agnelli, Lars Arendt-Nielsen, Maria C Gerra, Katia Zatorri, Lorenzo Boggiani, Marco Baciarello, Elena Bignami

Open access · goldAbstract readReview
In one paragraph

Review in Molecular pain. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 4 pooled it
10.6field-weighted citation impact, top 1% 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

104 citing papers in PubMed, 4 syntheses or guidelines pooled it, 198 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Review
  8. Article
  9. Fibromyalgia: A Multifactorial Pain Disorder.International journal of molecular sciences · 2026
    Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Unravelling Fibromyalgia in Psoriatic Arthritis.Rheumatology and therapy · 2026
    Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. DNA hypomethylation of theFrontiers in neurology · 2026
    Article
  20. Article

44 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

7 authors at 2 institutions in 2 countries.

Simona D'Agnelli1 Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.ORCID 0000-0001-5396-9542
Lars Arendt-Nielsen2 Department of Health Science and Technology, Aalborg University, Denmark.
Maria C Gerra2 Department of Health Science and Technology, Aalborg University, Denmark.
Katia Zatorri1 Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Lorenzo Boggiani3 Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
Marco Baciarello1 Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Elena Bignami1 Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.
University of Parma · ITAalborg University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibromyalgia is a disease characterized by chronic widespread pain with additional symptoms, such as joint stiffness, fatigue, sleep disturbance, cognitive dysfunction, and depression. Currently, fibromyalgia diagnosis is based exclusively on a comprehensive clinical assessment, according to 2016 ACR criteria, but validated biological biomarkers associated with fibromyalgia have not yet been identified. Genome-wide association studies investigated genes potentially involved in fibromyalgia pathogenesis highlighting that genetic factors are possibly responsible for up to 50% of the disease susceptibility. Potential candidate genes found associated to fibromyalgia are SLC64A4, TRPV2, MYT1L, and NRXN3. Furthermore, a gene-environmental interaction has been proposed as triggering mechanism, through epigenetic alterations: In particular, fibromyalgia appears to be characterized by a hypomethylated DNA pattern, in genes implicated in stress response, DNA repair, autonomic system response, and subcortical neuronal abnormalities. Differences in the genome-wide expression profile of microRNAs were found among multiple tissues, indicating the involvement of distinct processes in fibromyalgia pathogenesis. Further studies should be dedicated to strength these preliminary findings, in larger multicenter cohorts, to identify reliable directions for biomarker research and clinical practice.

Indexed as

FibromyalgiaGeneticsAnimalsBiomarkersEpigenomicsHumansBiomarkersbiomarkersDNA methylationepigeneticsFibromyalgiageneticsgenome-wide association studymiRNAs

Identifiers

PMID30486733
PMCPMC6322092
OpenAlexW2902034312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.