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Mevalonate kinase deficiency: current perspectives

Overview of attention for article published in The Application of Clinical Genetics, July 2016
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Title
Mevalonate kinase deficiency: current perspectives
Published in
The Application of Clinical Genetics, July 2016
DOI 10.2147/tacg.s93933
Pubmed ID
Authors

Leslie A Favier, Grant S Schulert

Abstract

Mevalonate kinase deficiency (MKD) is a recessively inherited autoinflammatory disorder with a spectrum of manifestations, including the well-defined clinical phenotypes of hyperimmunoglobulinemia D and periodic fever syndrome and mevalonic aciduria. Patients with MKD have recurrent attacks of hyperinflammation associated with fever, abdominal pain, arthralgias, and mucocutaneous lesions, and more severely affected patients also have dysmorphisms and central nervous system anomalies. MKD is caused by mutations in the gene encoding mevalonate kinase, with the degree of residual enzyme activity largely determining disease severity. Mevalonate kinase is essential for the biosynthesis of nonsterol isoprenoids, which mediate protein prenylation. Although the precise pathogenesis of MKD remains unclear, increasing evidence suggests that deficiency in protein prenylation leads to innate immune activation and systemic hyperinflammation. Given the emerging understanding of MKD as an autoinflammatory disorder, recent treatment approaches have largely focused on cytokine-directed biologic therapy. Herein, we review the current genetic and pathologic understanding of MKD, its various clinical phenotypes, and the evolving treatment approach for this multifaceted disorder.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 99 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 13%
Student > Ph. D. Student 12 12%
Researcher 9 9%
Other 8 8%
Student > Master 8 8%
Other 25 25%
Unknown 26 26%
Readers by discipline Count As %
Medicine and Dentistry 23 23%
Biochemistry, Genetics and Molecular Biology 16 16%
Agricultural and Biological Sciences 10 10%
Immunology and Microbiology 10 10%
Unspecified 5 5%
Other 8 8%
Unknown 29 29%
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 27 September 2018.
All research outputs
#17,562,823
of 25,748,735 outputs
Outputs from The Application of Clinical Genetics
#1
of 1 outputs
Outputs of similar age
#239,410
of 368,515 outputs
Outputs of similar age from The Application of Clinical Genetics
#1
of 1 outputs
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