Beyond the antibodies: serum metabolomic profiling of myasthenia gravis

Metabolomics : Official Journal of the Metabolomic Society
Derrick BlackmoreWalter Maksymowych

Abstract

Myasthenia gravis (MG) is a chronic, potentially debilitating autoimmune disease characterized by weakness and rapid fatigue of the voluntary muscles that worsens on exertion. Left untreated, MG symptoms may cause significant morbidity or even death. To date, no robust biological marker is available to follow the course of the disease. Therefore, new diagnostic approaches and biological markers are essential not only for improved diagnosis of the disease but for improved outcomes. The present study applied a two-control, multi-label metabolomics profiling approach as a potential strategy for the identification of biomarkers unique to myasthenia gravis (MG). Metabolic analyses using acid- and dansyl-labelled serum from seropositive MG (n = 46), rheumatoid arthritis (RA) (n = 23) and healthy controls (HC) (n = 49) were performed on samples from adult patients presenting to the University of Alberta Hospital neuromuscular and rheumatology clinics. Comparisons between patients with MG vs. HC, and RA vs. HC were made using univariate and multivariate statistics. Serum biomarker patterns were statistically significantly different between groups. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-D...Continue Reading

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Citations

Mar 10, 2020·Immunological Reviews·Haiping WangPing-Chih Ho
Jan 7, 2020·Metabolomics : Official Journal of the Metabolomic Society·Derrick BlackmoreZaeem A Siddiqi
Jan 2, 2021·Frontiers in Neurology·Ying WuOliver A Garden

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Software Mentioned

Bruker Data Analysis
Empower
R
Impute
BioConductor
SIMCA
IsoMS
Quant
metaboanalyst
MycompoundID

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