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Glycosylation pattern of anti‐platelet IgG is stable during pregnancy and predicts clinical outcome in alloimmune thrombocytopenia
Author(s) -
Sonneveld Myrthe E.,
Natunen Suvi,
Sainio Susanna,
Koeleman Carolien A. M.,
Holst Stephanie,
Dekkers Gillian,
Koelewijn Joke,
Partanen Jukka,
Schoot C. Ellen,
Wuhrer Manfred,
Vidarsson Gestur
Publication year - 2016
Publication title -
british journal of haematology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.907
H-Index - 186
eISSN - 1365-2141
pISSN - 0007-1048
DOI - 10.1111/bjh.14053
Subject(s) - fucosylation , neonatal alloimmune thrombocytopenia , platelet , pregnancy , antigen , antibody , immunology , medicine , asymptomatic , immunoglobulin g , fetus , glycan , chemistry , glycoprotein , biology , biochemistry , genetics
Fetal or neonatal alloimmune thrombocytopenia ( FNAIT ) is a potentially life‐threatening disease where fetal platelets are destroyed by maternal anti‐platelet IgG alloantibodies. The clinical outcome varies from asymptomatic, to petechiae or intracranial haemorrhage, but no marker has shown reliable correlation with severity, making screening for FNAIT impractical and highly inefficient. We recently found IgG Fc‐glycosylation towards platelet and red blood cell antigens to be skewed towards decreased fucosylation, increased galactosylation and sialylation. The lowered core‐fucosylation increases the affinity of the pathogenic antibodies to Fcγ RIII a and Fcγ RIII b, and hence platelet destruction. Here we analysed the N‐linked glycans of human platelet antigen ( HPA )‐1a specific IgG1 with mass spectrometry in large series of FNAIT cases ( n = 166) including longitudinal samples ( n = 26). Besides a significant decrease in Fc‐fucosylation after the first pregnancy ( P = 0·0124), Fc‐glycosylation levels remained stable during and after pregnancy and in subsequent pregnancies. Multiple logistic regression analysis identified anti‐ HPA ‐1a –fucosylation ( P = 0·006) combined with galactosylation ( P = 0·021) and antibody level ( P = 0·038) correlated with bleeding severity , making these parameters a feasible marker in screening for severe cases of FNAIT .