Mutations in STAT3 and diagnostic guidelines for hyper-IgE syndrome

  • Woellner, Cristina MSc
  • Gertz, Michael E. PhD
  • Schäffer, Alejandro A. PhD
  • Lagos, Macarena MD
  • Perro, Mario MSc
  • Glocker, Erik-Oliver MD
  • Pietrogrande, Maria C. MD
  • Cossu, Fausto MD
  • Franco, José L. MD, PhD
  • Matamoros, Nuria MD
  • Pietrucha, Barbara MD, PhD
  • Heropolitańska-Pliszka, Edyta MD
  • Yeganeh, Mehdi MD
  • Moin, Mostafa MD
  • Español, Teresa MD, PhD
  • Ehl, Stephan MD
  • Gennery, Andrew R. MD
  • Abinun, Mario MD, PhD
  • Bręborowicz, Anna MD
  • Niehues, Tim MD
  • Kilic, Sara Sebnem MD
  • Junker, Anne MD
  • Turvey, Stuart E. MD, PhD
  • Plebani, Alessandro MD
  • Sánchez, Berta PhD
  • Garty, Ben-Zion MD
  • Pignata, Claudio MD
  • Cancrini, Caterina MD
  • Litzman, Jiri MD
  • Sanal, Özden MD
  • Baumann, Ulrich MD
  • Bacchetta, Rosa MD
  • Hsu, Amy P. BA
  • Davis, Joie N. CRNP
  • Hammarström, Lennart MD
  • Davies, E. Graham MD
  • Eren, Efrem MD
  • Arkwright, Peter D. MD, PhD
  • Moilanen, Jukka S. MD, PhD
  • Viemann, Dorothee MD
  • Khan, Sujoy MRCP
  • Maródi, László MD
  • Cant, Andrew J. MD
  • Freeman, Alexandra F. MD
  • Puck, Jennifer M. MD
  • Holland, Steven M. MD
  • Grimbacher, Bodo MD
Journal of Allergy & Clinical Immunology 125(2):p 424-432e8, February 2010.

Background

The hyper-IgE syndrome (HIES) is a primary immunodeficiency characterized by infections of the lung and skin, elevated serum IgE, and involvement of the soft and bony tissues. Recently, HIES has been associated with heterozygous dominant-negative mutations in the signal transducer and activator of transcription 3(STAT3)and severe reductions of TH17 cells.

Objective

To determine whether there is a correlation between the genotype and the phenotype of patients with HIES and to establish diagnostic criteria to distinguish betweenSTAT3mutated andSTAT3wild-type patients.

Methods

We collected clinical data, determined TH17 cell numbers, and sequencedSTAT3in 100 patients with a strong clinical suspicion of HIES and serum IgE >1000 IU/mL. We explored diagnostic criteria by using a machine-learning approach to identify which features best predict aSTAT3mutation.

Results

In 64 patients, we identified 31 differentSTAT3mutations, 18 of which were novel. These included mutations at splice sites and outside the previously implicated DNA-binding and Src homology 2 domains. A combination of 5 clinical features predictedSTAT3mutations with 85% accuracy. TH17 cells were profoundly reduced in patients harboringSTAT3mutations, whereas 10 of 13 patients without mutations had low (<1%) TH17 cells but were distinct by markedly reduced IFN-γ–producing CD4+T cells.

Conclusion

We propose the following diagnostic guidelines for STAT3-deficient HIES. Possible: IgE >1000IU/mL plus a weighted score of clinical features >30 based on recurrent pneumonia, newborn rash, pathologic bone fractures, characteristic face, and high palate. Probable: These characteristics plus lack of TH17 cells or a family history for definitive HIES. Definitive: These characteristics plus a dominant-negative heterozygous mutation inSTAT3.

Copyright © Mosby-Year Book Inc. 2010. All Rights Reserved.
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