2022
DOI: 10.1101/2022.09.27.22280432
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Plasma multi-omics analysis reveals very long chain ceramides as validated biomarkers of Friedreich’s ataxia

Abstract: Friedreich Ataxia (FRDA) is an autosomal neurodegenerative disease caused by the deficiency of the protein frataxin. Frataxin is a critical enzyme in the assembly of iron-sulfur clusters that are cofactors for several metabolic enzymes. To identify metabolic features that could be used as potential biomarkers for FRDA in plasma, we performed a multi-omics analysis using a discovery-validation cohort design. We combined metabolomics, lipidomics and proteomics from several liquid chromatography-high resolution m… Show more

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“…For example, elevated levels of Cers are observed in FRDA patient skin fibroblasts ( Wang et al, 2022b ), consistent with the observations in fh mutant flies and patient heart samples ( Chen et al, 2016a , b ). However, in patient plasma samples levels of Cers with C16-C18 acyl chain do not significantly change, while levels of VLCFA-Cers decrease ( Wang et al, 2022a ). Given that sampling neurons of patients is challenging, neuronal cells derived from induced pluripotent stem cells (iPSCs) or transdifferentiated from blood cells or fibroblasts can be used as surrogates and may provide the best source for SL profiling ( Engle et al, 2018 ; Mollinari et al, 2018 ).…”
Section: Future Directionsmentioning
confidence: 99%
“…For example, elevated levels of Cers are observed in FRDA patient skin fibroblasts ( Wang et al, 2022b ), consistent with the observations in fh mutant flies and patient heart samples ( Chen et al, 2016a , b ). However, in patient plasma samples levels of Cers with C16-C18 acyl chain do not significantly change, while levels of VLCFA-Cers decrease ( Wang et al, 2022a ). Given that sampling neurons of patients is challenging, neuronal cells derived from induced pluripotent stem cells (iPSCs) or transdifferentiated from blood cells or fibroblasts can be used as surrogates and may provide the best source for SL profiling ( Engle et al, 2018 ; Mollinari et al, 2018 ).…”
Section: Future Directionsmentioning
confidence: 99%