Evidence map›Paper›PMID 36535959›Full record

ArticleScientific reports2022

Metabolomics analysis of plasma samples of patients with fibromyalgia and electromagnetic sensitivity using GC-MS technique.

Cristina Piras, Monica Pibiri, Stella Conte, Gabriella Ferranti, Vera Piera Leoni, Sonia Liggi, Martina Spada, Sandro Muntoni, Pierluigi Caboni, Luigi Atzori

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 2 institutions in 2 countries.

Cristina PirasDepartment of Biomedical Sciences, Clinical Metabolomics Unit, University of Cagliari, Blocco A, Cittadella Universitaria, Monserrato, CA, Italy.
Monica PibiriDepartment of Biomedical Sciences, Clinical Metabolomics Unit, University of Cagliari, Blocco A, Cittadella Universitaria, Monserrato, CA, Italy.
Stella ConteDepartment of Education, Psychology and Philosophy, University of Cagliari, Cagliari, Italy.
Gabriella FerrantiDepartment of Education, Psychology and Philosophy, University of Cagliari, Cagliari, Italy.
Vera Piera LeoniDepartment of Biomedical Sciences, Clinical Metabolomics Unit, University of Cagliari, Blocco A, Cittadella Universitaria, Monserrato, CA, Italy.
Sonia LiggiDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Martina SpadaDepartment of Biomedical Sciences, Clinical Metabolomics Unit, University of Cagliari, Blocco A, Cittadella Universitaria, Monserrato, CA, Italy.
Sandro MuntoniDepartment of Biomedical Sciences, Clinical Metabolomics Unit, University of Cagliari, Blocco A, Cittadella Universitaria, Monserrato, CA, Italy.
Pierluigi CaboniDepartment of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy.
Luigi AtzoriDepartment of Biomedical Sciences, Clinical Metabolomics Unit, University of Cagliari, Blocco A, Cittadella Universitaria, Monserrato, CA, Italy. latzori@unica.it.
University of Cagliari · ITImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibromyalgia (FM) is a chronic and systemic condition that causes widespread chronic pain, asthenia, and muscle stiffness, as well as in some cases depression, anxiety, and disorders of the autonomic system. The exact causes that lead to the development of FM are still unknown today. In a percentage of individuals, the symptoms of FM are often triggered and/or exacerbated by proximity to electrical and electromagnetic devices. Plasma metabolomic profile of 54 patients with fibromyalgia and self-reported electromagnetic sensitivity (IEI-EMF) were compared to 23 healthy subjects using gas chromatography-mass spectrometry (GC-MS) coupled with multivariate statistical analysis techniques. Before the GC-MS analysis the plasma samples were extracted with a modified Folch method and then derivatized with methoxamine hydrochloride in pyridine solution and N-trimethylsilyltrifuoroacetamide. The combined analysis allowed to identify a metabolomic profile able of distinguishing IEI-EMF patients and healthy subjects. IEI-EMF patients were therefore characterized by the alteration of 19 metabolites involved in different metabolic pathways such as energy metabolism, muscle, and pathways related to oxidative stress defense and chronic pain. The results obtained in this study complete the metabolomic "picture" previously investigated on the same cohort of IEI-EMF patients with

Indexed as

Chronic PainFibromyalgiaMultiple Chemical SensitivityElectromagnetic FieldsGas Chromatography-Mass SpectrometryHumansMetabolomics

Identifiers

PMID36535959
PMCPMC9763344
OpenAlexW4312094468

What OpenQuestion holds

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LicenceCC BY
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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.