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

Malatji, Bontle G.; Mason, Shayne; Mienie, Lodewyk J.; Wevers, Ron A.; Meyer, Helgard Pieter; Reenen, Mari van

doi:10.1007/s11306-019-1513-6

Cited by 35 publications

(51 citation statements)

References 47 publications

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“…1) shows the selection process and number of studies included and excluded at each step to arrive at the final eleven studies, conducted in 7 countries, included in this analysis. There was a high degree of heterogeneity across the studies, which were of variable quality ( (22)(23)(24)(25), and three reported other biomarkers (16,21,26). Four studies (16,(21)(22)(23) examined more than one type of biomarker and so are included in each of the appropriate sections below.…”

Section: Resultsmentioning

confidence: 99%

“…The urinary microbial metabolism data reported in two of the studies included in this review were obtained from the same cohort (24,25). Two other studies evaluated serum markers for a range of metabolites, proteins and gene expression (22,23), and three compared patients with more than one type of control (23)(24)(25). These are summarised in Table 5.…”

Section: Metabolomics/metabolitesmentioning

confidence: 99%

“…Alterations in levels of urine metabolites reported in the first of Malatji's papers (25) were predicted to be associated with gut bacteria. Employing a more targeted approach, the same team later reported the presence of the monosaccharides sorbose, rhamnose and tagatose which are typically not found in human urine (24). One mechanism proposed by the authors for their presence was bacterial degradation of plant-derived carbohydrates.…”

Section: Metabolomics/metabolitesmentioning

confidence: 99%

“…A notable strength of the work by Malatji et al, is the range of controls, including family members and cohabitants, allowing the researchers to consider shared factors that may influence results. However, scant information on drug use was provided in their reports (24,25), nor was this controlled for, which is a significant limitation.…”

Section: Metabolomicsmentioning

confidence: 99%

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Determining the association between fibromyalgia, the gut microbiome and its biomarkers: A systematic review

Erdrich

Hawrelak

Myers

et al. 2020

Preprint

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Background The association between fibromyalgia and irritable bowel syndrome is well-established. Alterations in the composition and diversity of the gut microbiome in irritable bowel syndrome have been reported, however, this association is poorly understood in fibromyalgia. Our aim was to summarise the research reporting on the gastrointestinal microbiome and its biomarkers in people with fibromyalgia.Methods A systematic review of published original research reporting on the gastrointestinal microbiota and its biomarkers in adults with a diagnosis of fibromyalgia was undertaken.Results From 4771 studies, 11 met our inclusion criteria and were separated into four main groups: papers reporting Helicobacter pylori ; other gut bacterial markers; metabolomics and other biomarkers, which included intestinal permeability and small intestinal bacterial overgrowth.Conclusion The results suggest there is a paucity of quality research in this area, with indications that the gut microbiota may play a role in fibromyalgia within the emerging field of the gut-musculoskeletal axis. Further investigations into the relationship between the gut microbiota, gut dysfunction and fibromyalgia are warranted.

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Section: Resultsmentioning

confidence: 99%

Section: Metabolomics/metabolitesmentioning

confidence: 99%

Section: Metabolomics/metabolitesmentioning

confidence: 99%

Section: Metabolomicsmentioning

confidence: 99%

See 2 more Smart Citations

Determining the association between fibromyalgia, the gut microbiome and its biomarkers: A systematic review

Erdrich

Hawrelak

Myers

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…It is also well known that various perturbations or other physiological changes in the human body -such as an altered microbiome, for instance -may change what is considered a normal urinary metabolome fingerprint into a new diseasespecific fingerprint (Want et al, 2010;Emwas et al, 2015;Wu and Gao, 2015). There exists well-described examples in the literature of metabolites found in urine that are associated with microbial metabolism or microbial-host co-metabolism and found to change in response to diseases where gut dysbiosis is the predominant perturbation (Holmes et al, 2011;Vernocchi et al, 2016;Dumas et al, 2017;Malatji et al, 2019). Furthermore, urine is considered the preferred sample matrix for the detection of certain metabolites, which are otherwise difficult to detect from a blood sample due to their low concentrations.…”

Section: Urine Reflects Dysbiosis Within Bacterial Cns Infection(s)mentioning

confidence: 99%

Overview of Brain-to-Gut Axis Exposed to Chronic CNS Bacterial Infection(s) and a Predictive Urinary Metabolic Profile of a Brain Infected by Mycobacterium tuberculosis

et al. 2020

Self Cite

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Frontiers in Neuroscience | www.frontiersin.org April 2020 | Volume 14 | Article 296 Isaiah et al.CSF Metabolic Response to Mycobacterium effects expected, predicting pivotal altered metabolic pathways that would be reflected in the urinary profiles of TBM subjects. Our cascading metabolic model should be adjustable to account for other types of CNS bacterial infection(s) associated with chronic neuroinflammation, typically prevalent, and difficult to distinguish from TBM, in the resource-constrained settings of poor communities.

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Metabolomics in chronic pain research

Teckchandani

Gowda

Raftery

et al. 2020

European Journal of Pain

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Background and ObjectiveMetabolomics deals with the identification and quantification of small molecules (metabolites) in biological samples. As metabolite levels can reflect normal or altered metabolic pathways, their measurement provides information to improve the understanding, diagnosis and management of diseases. Despite its immense potential, metabolomics applications to pain research have been sparse. This paper describes current metabolomics techniques, reviews published human metabolomics pain research and compares successful metabolomics research in other areas of medicine with the goal of highlighting opportunities offered by metabolomics to advance pain medicine.Databases and Data TreatmentNon‐systematic review.ResultsOur search identified 19 studies that adopted a metabolomics approach in: fibromyalgia (7), chronic widespread pain (4), other musculoskeletal pain conditions (5), neuropathic pain (1), complex regional pain syndrome (1) and pelvic pain (1). The studies used either mass spectrometry or nuclear magnetic resonance. Most are characterized by small sample sizes. Some consistency has been found for alterations in glutamate and testosterone metabolism, and metabolic imbalances caused by the gut microbiome.ConclusionsMetabolomics research in chronic pain is in its infancy. Most studies are at the pilot stage. Metabolomics research has been successful in other areas of medicine. These achievements should motivate investigators to expand metabolomics research to improve the understanding of the basic mechanisms of human pain, as well as provide tools to diagnose, predict and monitor chronic pain conditions. Metabolomics research can lead to the identification of biomarkers to support the development and testing of treatments, thereby facilitating personalized pain medicine.

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

Cited by 35 publications

References 47 publications

Determining the association between fibromyalgia, the gut microbiome and its biomarkers: A systematic review

Determining the association between fibromyalgia, the gut microbiome and its biomarkers: A systematic review

Overview of Brain-to-Gut Axis Exposed to Chronic CNS Bacterial Infection(s) and a Predictive Urinary Metabolic Profile of a Brain Infected by Mycobacterium tuberculosis

Metabolomics in chronic pain research

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