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The Extended Clinical Phenotype of 26 Patients with Chronic Mucocutaneous Candidiasis due to Gain-of-Function Mutations in STAT1

Overview of attention for article published in Journal of Clinical Immunology, November 2015
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Title
The Extended Clinical Phenotype of 26 Patients with Chronic Mucocutaneous Candidiasis due to Gain-of-Function Mutations in STAT1
Published in
Journal of Clinical Immunology, November 2015
DOI 10.1007/s10875-015-0214-9
Pubmed ID
Authors

Mark Depner, Sebastian Fuchs, Jan Raabe, Natalie Frede, Cristina Glocker, Rainer Doffinger, Effrossyni Gkrania-Klotsas, Dinakantha Kumararatne, T. Prescott Atkinson, Harry W. Schroeder, Tim Niehues, Gregor Dückers, Asbjørg Stray-Pedersen, Ulrich Baumann, Reinhold Schmidt, Jose L. Franco, Julio Orrego, Moshe Ben-Shoshan, Christine McCusker, Cristina Miuki Abe Jacob, Magda Carneiro-Sampaio, Lisa A. Devlin, J. David M. Edgar, Paul Henderson, Richard K. Russell, Anne-Bine Skytte, Suranjith L. Seneviratne, Jennifer Wanders, Hans Stauss, Isabelle Meyts, Leen Moens, Milos Jesenak, Robin Kobbe, Stephan Borte, Michael Borte, Dowain A. Wright, David Hagin, Troy R. Torgerson, Bodo Grimbacher

Abstract

Gain-of-function (GOF) mutations in the signal transducer and activator of transcription 1 (STAT1) result in unbalanced STAT signaling and cause immune dysregulation and immunodeficiency. The latter is often characterized by the susceptibility to recurrent Candida infections, resulting in the clinical picture of chronic mucocutaneous candidiasis (CMC). This study aims to assess the frequency of GOF STAT1 mutations in a large international cohort of CMC patients. STAT1 was sequenced in genomic DNA from 57 CMC patients and 35 healthy family members. The functional relevance of nine different STAT1 variants was shown by flow cytometric analysis of STAT1 phosphorylation in patients' peripheral blood cells (PBMC) after stimulation with interferon (IFN)-α, IFN-γ or interleukin-27 respectively. Extended clinical data sets were collected and summarized for 26 patients. Heterozygous mutations within STAT1 were identified in 35 of 57 CMC patients (61 %). Out of 39 familial cases from 11 families, 26 patients (67 %) from 9 families and out of 18 sporadic cases, 9 patients (50 %) were shown to have heterozygous mutations within STAT1. Thirteen distinct STAT1 mutations are reported in this paper. Eight of these mutations are known to cause CMC (p.M202V, p.A267V, p.R274W, p.R274Q, p.T385M, p.K388E, p.N397D, and p.F404Y). However, five STAT1 variants (p.F172L, p.Y287D, p.P293S, p.T385K and p.S466R) have not been reported before in CMC patients. STAT1 mutations are frequently observed in patients suffering from CMC. Thus, sequence analysis of STAT1 in CMC patients is advised. Measurement of IFN- or IL-induced STAT1 phosphorylation in PBMC provides a fast and reliable diagnostic tool and should be carried out in addition to genetic testing.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Italy 1 <1%
Unknown 117 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 13%
Student > Bachelor 16 13%
Researcher 15 13%
Student > Master 15 13%
Other 12 10%
Other 24 20%
Unknown 21 18%
Readers by discipline Count As %
Medicine and Dentistry 38 32%
Biochemistry, Genetics and Molecular Biology 22 18%
Immunology and Microbiology 18 15%
Agricultural and Biological Sciences 11 9%
Computer Science 1 <1%
Other 4 3%
Unknown 25 21%
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 26 November 2015.
All research outputs
#20,298,249
of 22,835,198 outputs
Outputs from Journal of Clinical Immunology
#1,256
of 1,560 outputs
Outputs of similar age
#324,099
of 386,745 outputs
Outputs of similar age from Journal of Clinical Immunology
#16
of 24 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,560 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.