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Patient with multiple acyl-CoA dehydrogenase deficiency disease and ETFDH mutations benefits from riboflavin therapy: a case report

Overview of attention for article published in BMC Medical Genomics, April 2018
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Title
Patient with multiple acyl-CoA dehydrogenase deficiency disease and ETFDH mutations benefits from riboflavin therapy: a case report
Published in
BMC Medical Genomics, April 2018
DOI 10.1186/s12920-018-0356-8
Pubmed ID
Authors

Liuh Ling Goh, Yingshan Lee, Ee Shien Tan, James Soon Chuan Lim, Chia Wei Lim, Rinkoo Dalan

Abstract

Lipid storage myopathy (LSM) is a diverse group of lipid metabolic disorders with great variations in the clinical phenotype and age of onset. Classical multiple acyl-CoA dehydrogenase deficiency (MADD) is known to occur secondary to mutations in electron transfer flavoprotein dehydrogenase (ETFDH) gene. Whole exome sequencing (WES) with clinical correlations can be useful in identifying genomic alterations for targeted therapy. We report a patient presented with severe muscle weakness and exercise intolerance, suggestive of LSM. Diagnostic testing demonstrated lipid accumulation in muscle fibres and elevated plasma acyl carnitine levels. Exome sequencing of the proband and two of his unaffected siblings revealed compound heterozygous mutations, c.250G > A (p.Ala84Thr) and c.770A > G (p.Tyr257Cys) in the ETFDH gene as the probable causative mutations. In addition, a previously unreported variant c.1042C > T (p.Arg348Trp) in ACOT11 gene was found. This missense variant was predicted to be deleterious but its association with lipid storage in muscle is unclear. The diagnosis of MADD was established and the patient was treated with riboflavin which resulted in rapid clinical and biochemical improvement. Our findings support the role of WES as an effective tool in the diagnosis of highly heterogeneous disease and this has important implications in the therapeutic strategy of LSM treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 22%
Student > Master 5 14%
Researcher 4 11%
Student > Ph. D. Student 3 8%
Other 2 5%
Other 4 11%
Unknown 11 30%
Readers by discipline Count As %
Medicine and Dentistry 6 16%
Nursing and Health Professions 5 14%
Biochemistry, Genetics and Molecular Biology 5 14%
Neuroscience 2 5%
Unspecified 1 3%
Other 4 11%
Unknown 14 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2018.
All research outputs
#18,601,965
of 23,041,514 outputs
Outputs from BMC Medical Genomics
#870
of 1,234 outputs
Outputs of similar age
#255,657
of 329,118 outputs
Outputs of similar age from BMC Medical Genomics
#14
of 20 outputs
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