Evidence map›Paper›PMID 27796750›Full record

ArticleMolecular neurobiology2017

Circulating microRNA Profiles as Liquid Biopsies for the Characterization and Diagnosis of Fibromyalgia Syndrome.

Andrea Masotti, Antonella Baldassarre, Maria Paola Guzzo, Cristina Iannuccelli, Christian Barbato, Manuela Di Franco

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  7. Review
  8. Common miRNAs of Osteoporosis and Fibromyalgia: A Review.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. TheFrontiers in molecular biosciences · 2022
    Review
  16. Article
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  18. Article
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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 3 institutions in 1 country.

Andrea MasottiOspedale Pediatrico Bambino Gesù, Gene Expression-Microarrays Laboratory, V.le di San Paolo 15, 00146, Rome, Italy.
Antonella BaldassarreOspedale Pediatrico Bambino Gesù, Gene Expression-Microarrays Laboratory, V.le di San Paolo 15, 00146, Rome, Italy.
Maria Paola GuzzoRheumatology Unit, Department of Internal Medicine and Medical Specialities, Sapienza University of Rome, Rome, Italy.
Cristina IannuccelliRheumatology Unit, Department of Internal Medicine and Medical Specialities, Sapienza University of Rome, Rome, Italy.
Christian BarbatoInstitute of Cell Biology and Neurobiology (IBCN), National Research Council (CNR), Via del Fosso di Fiorano, 64 00143, Rome, Italy. christian.barbato@cnr.it.
Manuela Di FrancoRheumatology Unit, Department of Internal Medicine and Medical Specialities, Sapienza University of Rome, Rome, Italy. manuela.difranco@uniroma1.it.
Sapienza University of Rome · ITBambino Gesù Children's Hospital · ITNational Research Council · IT

Funding

Ministero della Salute n/aMinistero dell'Istruzione, dell'Università e della Ricerca Flagship Project NanoMAXSapienza Università di Roma n/a
6 · The paper itself

Abstract

This work was aimed at investigating the circulating microRNA (miRNA) profiles in serum and saliva of patients affected by fibromyalgia syndrome (FM), correlating their expression values with clinical and clinimetric parameters and to suggest a mathematical model for the diagnosis of FM. A number of 14 FM patients and sex- and age-matched controls were enrolled in our study. The expression of a panel of 179 miRNAs was evaluated by qPCR. Statistical analyses were performed in order to obtain a mathematical linear model, which could be employed as a supporting tool in the diagnosis of FM. Bioinformatics analysis on miRNA targets were performed to obtain the relevant biological processes related to FM syndrome and to characterize in details the disease. Six miRNAs were found downregulated in FM patients compared to controls. Five of these miRNAs have been included in a linear predictive model that reached a very high sensitivity (100 %) and a high specificity (83.3 %). Moreover, miR-320b displayed a significant negative correlation (r = -0.608 and p = 0.036) with ZSDS score. Finally, several biological processes related to brain function/development and muscular functions were found potentially implicated in FM syndrome. Our study suggests that the study of circulating miRNA profiles coupled to statistical and bioinformatics analyses is a useful tool to better characterize the FM syndrome and to propose a preliminary model for its diagnosis.

Indexed as

AdultArea Under CurveCirculating MicroRNAFemaleFibromyalgiaGene Expression ProfilingGene Expression RegulationHumansLiquid BiopsyMaleMiddle AgedROC CurveSalivaSensitivity and SpecificityYoung AdultCirculating MicroRNABiomarkersCirculating miRNAsDepressionFibromyalgia syndromeLiquid biopsiesPain

Identifiers

PMID27796750
OpenAlexW2544634585

What OpenQuestion holds

Textmetadata
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.