2022
DOI: 10.3390/metabo12050398
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Understanding Inborn Errors of Metabolism through Metabolomics

Abstract: Inborn errors of metabolism (IEMs) are rare diseases caused by a defect in a single enzyme, co-factor, or transport protein. For most IEMs, no effective treatment is available and the exact disease mechanism is unknown. The application of metabolomics and, more specifically, tracer metabolomics in IEM research can help to elucidate these disease mechanisms and hence direct novel therapeutic interventions. In this review, we will describe the different approaches to metabolomics in IEM research. We will discuss… Show more

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Cited by 7 publications
(3 citation statements)
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“…In addressing IEiMs, alternative treatments focus on augmenting the production of the necessary product, either by facilitating the conversion of the substrate to the desired product or by directly supplying the product ( Figure 1 f) [ 18 ].…”
Section: From Catalysts To Cures: Conventional Metabolic Therapiesmentioning
confidence: 99%
“…In addressing IEiMs, alternative treatments focus on augmenting the production of the necessary product, either by facilitating the conversion of the substrate to the desired product or by directly supplying the product ( Figure 1 f) [ 18 ].…”
Section: From Catalysts To Cures: Conventional Metabolic Therapiesmentioning
confidence: 99%
“…Metabolic related diseases comprise a significant portion of rare diseases, representing the majority (7). These diseases encompass inborn metabolic abnormalities as well as other rare metabolic conditions with low incidence in the general population (8). Inborn errors of metabolism (IEMs) are a subset of rare metabolic diseases that result from defects in enzymes, co-factors, or transport proteins due to mutations affecting crucial metabolic enzymes (8).…”
Section: Introductionmentioning
confidence: 99%
“…The investigation of Inborn Errors of Metabolism has already benefitted from metabolomics as a tool to facilitate diagnosis by finding appropriate biomarkers in human samples [ 9 ].…”
Section: Introductionmentioning
confidence: 99%