Evidence map›Paper›PMID 30889846›Full record

ArticlePharmaceutics2019

Impact of Polypharmacy on Candidate Biomarker miRNomes for the Diagnosis of Fibromyalgia and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Striking Back on Treatments.

Eloy Almenar-Pérez, Teresa Sánchez-Fito, Tamara Ovejero, Lubov Nathanson, Elisa Oltra

Abstract read
In one paragraph

Article in Pharmaceutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Recent research in myalgic encephalomyelitis/chronic fatigue syndrome: an evidence map.Health technology assessment (Winchester, England) · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Manual Therapy Improves Fibromyalgia Symptoms by DownregulatingInternational journal of molecular sciences · 2024
    Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. 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

5 authors.

Eloy Almenar-PérezEscuela de Doctorado, Universidad Católica de Valencia San Vicente Mártir, 46001 Valencia, Spain. eloy.almenar@ucv.es.
Teresa Sánchez-FitoEscuela de Doctorado, Universidad Católica de Valencia San Vicente Mártir, 46001 Valencia, Spain. mt.sanchez@ucv.es.
Tamara OvejeroSchool of Medicine, Universidad Católica de Valencia San Vicente Mártir, 46001 Valencia, Spain. tamara.ovejero@ucv.es.
Lubov NathansonKiran C Patel College of Osteopathic Medicine, Nova Southeastern University, Ft Lauderdale, FL 33314, USA. lnathanson@nova.edu.
Elisa OltraSchool of Medicine, Universidad Católica de Valencia San Vicente Mártir, 46001 Valencia, Spain. elisa.oltra@ucv.es.ORCID 0000-0003-0598-2907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibromyalgia (FM) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) are diseases of unknown etiology presenting complex and often overlapping symptomatology. Despite promising advances on the study of miRNomes of these diseases, no validated molecular diagnostic biomarker yet exists. Since FM and ME/CFS patient treatments commonly include polypharmacy, it is of concern that biomarker miRNAs are masked by drug interactions. Aiming at discriminating between drug-effects and true disease-associated differential miRNA expression, we evaluated the potential impact of commonly prescribed drugs on disease miRNomes, as reported by the literature. By using the web search tools SM2miR, Pharmaco-miR, and repoDB, we found a list of commonly prescribed drugs that impact FM and ME/CFS miRNomes and therefore could be interfering in the process of biomarker discovery. On another end, disease-associated miRNomes may incline a patient's response to treatment and toxicity. Here, we explored treatments for diseases in general that could be affected by FM and ME/CFS miRNomes, finding a long list of them, including treatments for lymphoma, a type of cancer affecting ME/CFS patients at a higher rate than healthy population. We conclude that FM and ME/CFS miRNomes could help refine pharmacogenomic/pharmacoepigenomic analysis to elevate future personalized medicine and precision medicine programs in the clinic.

Indexed as

fibromyalgia (FM)ME/CFS Common Data Elements (CDEs)microRNAmiRNomemyalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)pharmacoepigenomicspharmacogenomicsPharmaco-miRrepoDBSM2miR

Identifiers

PMID30889846
PMCPMC6471415

What OpenQuestion holds

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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.