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PTPN11 mutation manifesting as LEOPARD syndrome associated with hypertrophic plexi and neuropathic pain

Overview of attention for article published in BMC Neurology, April 2015
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Title
PTPN11 mutation manifesting as LEOPARD syndrome associated with hypertrophic plexi and neuropathic pain
Published in
BMC Neurology, April 2015
DOI 10.1186/s12883-015-0310-8
Pubmed ID
Authors

Marianna Spatola, Christian Wider, Thierry Kuntzer, Alexandre Croquelois

Abstract

LEOPARD syndrome (LS) belongs to the family of neuro-cardio-facio-cutaneous syndromes, which include Neurofibromatosis-1 (NF1), Noonan syndrome, Costello Syndrome, cardio-facio-cutaneous syndrome, Noonan-like syndrome with loose anagen hair and Legius syndrome. These conditions are caused by mutations in genes encoding proteins involved in the RAS-MAPK cellular pathway. Clinical heterogeneity and phenotype overlaps across those different syndromes is already recognized. We hereby report a heterozygous de novo mutation in the PTPN11 gene (c.1403Cā€‰>ā€‰T) manifesting with a clinical picture of LS during childhood, and later development of neuropathic pain with hypertrophic plexi, which are typically observed in NF1 but have not been reported in LS. LS caused by PTPN11 mutations may be associated with hypertrophic roots and plexi. Consequently, clinicians should be aware of the possible development of neuropathic pain and consider specific diagnostic work-up and management.

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 25%
Student > Postgraduate 4 17%
Student > Master 4 17%
Student > Bachelor 2 8%
Student > Ph. D. Student 1 4%
Other 2 8%
Unknown 5 21%
Readers by discipline Count As %
Medicine and Dentistry 13 54%
Agricultural and Biological Sciences 3 13%
Neuroscience 2 8%
Psychology 1 4%
Environmental Science 1 4%
Other 0 0%
Unknown 4 17%