Evidence map›Paper›PMID 30919098›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

The GC-MS metabolomics signature in patients with fibromyalgia syndrome directs to dysbiosis as an aspect contributing factor of FMS pathophysiology.

Bontle G Malatji, Shayne Mason, Lodewyk J Mienie, Ron A Wevers, Helgard Meyer, Mari van Reenen, Carolus J Reinecke

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 5% 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, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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  16. Lysophosphatidylcholine: Potential Target for the Treatment of Chronic Pain.International journal of molecular sciences · 2022
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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

7 authors at 3 institutions in 2 countries.

Bontle G MalatjiFaculty of Natural and Agricultural Sciences, Centre for Human Metabolomics, North-West University (Potchefstroom Campus), Private Bag X6001, Potchefstroom, South Africa.
Shayne MasonFaculty of Natural and Agricultural Sciences, Centre for Human Metabolomics, North-West University (Potchefstroom Campus), Private Bag X6001, Potchefstroom, South Africa. nmr.nwu@gmail.com.ORCID 0000-0002-2945-5768
Lodewyk J MienieFaculty of Natural and Agricultural Sciences, Centre for Human Metabolomics, North-West University (Potchefstroom Campus), Private Bag X6001, Potchefstroom, South Africa.
Ron A WeversTranslational Metabolic Laboratory, Department of Laboratory Medicine, Radboud University Nijmegen Medical Centre, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
Helgard MeyerDepartment of Family Medicine, Kalafong Hospital, University of Pretoria, Private Bag X396, Pretoria, South Africa.
Mari van ReenenFaculty of Natural and Agricultural Sciences, Centre for Human Metabolomics, North-West University (Potchefstroom Campus), Private Bag X6001, Potchefstroom, South Africa.
Carolus J ReineckeFaculty of Natural and Agricultural Sciences, Centre for Human Metabolomics, North-West University (Potchefstroom Campus), Private Bag X6001, Potchefstroom, South Africa.
North-West University · ZAKalafong Hospital · ZARadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFibromyalgia syndrome (FMS) is a chronic pain syndrome. Previous analyses of untargeted metabolomics data indicated altered metabolic profile in FMS patients.

objectivesWe report a semi-targeted explorative metabolomics study on the urinary metabolite profile of FMS patients; exploring the potential of urinary metabolite information to augment existing medical diagnosis.

methodsAll cases were females. Patients had a medical history of persistent FMS (n = 18). Control groups were first-generation family members of the patients (n = 11), age-related individuals without indications of FMS (n = 10), and healthy, young (18-22 years) individuals (n = 41). The biofluid investigated was early morning urine samples. Data generation was done through gas chromatography-mass spectrometry (GC-MS) analysis and data processing and analyses were performed using Matlab, R, SPSS and SAS software.

resultsQuantitative analysis revealed the presence of 196 metabolites. Unsupervised and supervised multivariate analyses distinguished all three control groups and the FMS patients, which could be related to 14 significantly increased metabolites. These metabolites are associated with energy metabolism, digestion and metabolism of carbohydrates and other host and gut metabolites.

conclusionsOverall, urinary metabolite profiles in the FMS patients suggest: (1) energy utilization is a central aspect of this pain disorder, (2) dysbiosis seems to prevail in FMS patients, indicated by disrupted microbiota metabolites, supporting the model that microbiota may alter brain function through the gut-brain axis, with the gut being a gateway to generalized pain, and (3) screening of urine from FMS is an avenue to explore for adding non-invasive clinical information for diagnosis and treatment of FMS.

Indexed as

AdultBiomarkersDysbiosisFemaleFibromyalgiaGas Chromatography-Mass SpectrometryHumansMetabolomeMetabolomicsMiddle AgedMultivariate AnalysisYoung AdultBiomarkersBiomarkersCarbohydrateDysbiosisFibromyalgia syndrome (FMS)Gas chromatography–mass spectrometry (GC–MS)Pain

Identifiers

PMID30919098
OpenAlexW2923029396

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.