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The diagnostic challenge in very‐long chain acyl‐CoA dehydrogenase deficiency (VLCADD)

Overview of attention for article published in Journal of Inherited Metabolic Disease, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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Title
The diagnostic challenge in very‐long chain acyl‐CoA dehydrogenase deficiency (VLCADD)
Published in
Journal of Inherited Metabolic Disease, September 2018
DOI 10.1007/s10545-018-0245-5
Pubmed ID
Authors

Julia Hesse, Carina Braun, Sidney Behringer, Uta Matysiak, Ute Spiekerkoetter, Sara Tucci

Abstract

Very long-chain acyl-CoA dehydrogenase deficiency (VLCADD) is the most common defect of mitochondrial β-oxidation of long-chain fatty acids. However, the unambiguous diagnosis of true VLCADD patients may be challenging, and a high rate of false positive individuals identified by newborn screening undergo confirmation diagnostics. In this study, we show the outcome of enzyme testing in lymphocytes as a confirmatory tool in newborns identified by screening, and the correlation with molecular sequencing of the ACADVL gene. From April 2013 to March 2017, in 403 individuals with characteristic acylcarnitine profiles indicative of VLCADD, palmitoyl-CoA oxidation was measured followed by molecular genetic analysis in most of the patients with residual activity (RA) <50%. In almost 50% of the samples (209/403) the RA was >50%, one-third of the individuals (125/403) displayed a RA of 30-50% and 69/403 individuals showed a residual activity of 0-30%. Sequencing of the ACADVL gene revealed that all individuals with activities below 24% were true VLCADD patients, individuals with residual activities between 24 and 27% carried either one or two mutations. Twenty new mutations could be identified and functionally classified based on their effect on enzyme function. Finally, we observed an up-regulation of MCAD-activity in many patients. However, this did not correlate with the degree of VLCAD RA. Although the likely clinical phenotype cannot be fully foreseen by genetic and functional tests as it depends on many factors, our data demonstrate the strength of this functional enzyme test in lymphocytes as a quick and reliable method for confirmation diagnostics of VLCADD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 16%
Researcher 6 14%
Other 4 9%
Student > Master 4 9%
Professor 2 5%
Other 7 16%
Unknown 14 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 30%
Medicine and Dentistry 7 16%
Psychology 2 5%
Chemistry 2 5%
Nursing and Health Professions 1 2%
Other 5 11%
Unknown 14 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 20 December 2020.
All research outputs
#3,876,397
of 24,417,958 outputs
Outputs from Journal of Inherited Metabolic Disease
#213
of 1,953 outputs
Outputs of similar age
#71,538
of 339,920 outputs
Outputs of similar age from Journal of Inherited Metabolic Disease
#1
of 12 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,953 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 339,920 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.