Mutations in STAT3 and diagnostic guidelines for hyper-IgE syndrome.

نویسندگان

  • Cristina Woellner
  • E Michael Gertz
  • Alejandro A Schäffer
  • Macarena Lagos
  • Mario Perro
  • Erik-Oliver Glocker
  • Maria C Pietrogrande
  • Fausto Cossu
  • José L Franco
  • Nuria Matamoros
  • Barbara Pietrucha
  • Edyta Heropolitańska-Pliszka
  • Mehdi Yeganeh
  • Mostafa Moin
  • Teresa Español
  • Stephan Ehl
  • Andrew R Gennery
  • Mario Abinun
  • Anna Breborowicz
  • Tim Niehues
  • Sara Sebnem Kilic
  • Anne Junker
  • Stuart E Turvey
  • Alessandro Plebani
  • Berta Sánchez
  • Ben-Zion Garty
  • Claudio Pignata
  • Caterina Cancrini
  • Jiri Litzman
  • Ozden Sanal
  • Ulrich Baumann
  • Rosa Bacchetta
  • Amy P Hsu
  • Joie N Davis
  • Lennart Hammarström
  • E Graham Davies
  • Efrem Eren
  • Peter D Arkwright
  • Jukka S Moilanen
  • Dorothee Viemann
  • Sujoy Khan
  • László Maródi
  • Andrew J Cant
  • Alexandra F Freeman
  • Jennifer M Puck
  • Steven M Holland
  • Bodo Grimbacher
چکیده

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 T(H)17 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 between STAT3 mutated and STAT3 wild-type patients. METHODS We collected clinical data, determined T(H)17 cell numbers, and sequenced STAT3 in 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 a STAT3 mutation. RESULTS In 64 patients, we identified 31 different STAT3 mutations, 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 predicted STAT3 mutations with 85% accuracy. T(H)17 cells were profoundly reduced in patients harboring STAT3 mutations, whereas 10 of 13 patients without mutations had low (<1%) T(H)17 cells but were distinct by markedly reduced IFN-gamma-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 T(H)17 cells or a family history for definitive HIES. Definitive: These characteristics plus a dominant-negative heterozygous mutation in STAT3.

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عنوان ژورنال:
  • The Journal of allergy and clinical immunology

دوره 125 2  شماره 

صفحات  -

تاریخ انتشار 2010