%0 Journal Article %T Mutations in STAT3 and diagnostic guidelines for hyper-IgE syndrome. %A Woellner C %A Gertz EM %A Schäffer AA %A Lagos M %A Perro M %A Glocker EO %A Pietrogrande MC %A Cossu F %A Franco JL %A Matamoros N %A Pietrucha B %A Heropolitańska-Pliszka E %A Yeganeh M %A Moin M %A Español T %A Ehl S %A Gennery AR %A Abinun M %A Breborowicz A %A Niehues T %A Kilic SS %A Junker A %A Turvey SE %A Plebani A %A Sánchez B %A Garty BZ %A Pignata C %A Cancrini C %A Litzman J %A Sanal O %A Baumann U %A Bacchetta R %A Hsu AP %A Davis JN %A Hammarström L %A Davies EG %A Eren E %A Arkwright PD %A Moilanen JS %A Viemann D %A Khan S %A Maródi L %A Cant AJ %A Freeman AF %A Puck JM %A Holland SM %A Grimbacher B %J J Allergy Clin Immunol %V 125 %N 2 %D Feb 2010 %M 20159255 %F 14.29 %R 10.1016/j.jaci.2009.10.059 %X 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.
CONCLUSIONS: 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.