Publication Date:
2018-11-29
Description:
Introduction: Red blood cell (RBC) alloimmunization is an important transfusion complication which is very prevalent among patients with sickle cell disease (SCD). Only part of patients is able to develop alloantibodies following antigen-mismatched transfusions, named the 'immune responders', who should be prospectively transfused with antigen-matched RBC units, comprising the most immunogenic erythrocyte antigens. Auto-immune diseases are a known risk factor for RBC alloimmunization, suggesting that auto-immunity and post-transfusion alloantibody development happen through similar physiopathological pathways. In this context, polymorphisms in FCGR2B gene have already been associated with several auto-immune disorders and, hypothetically, could be associated with RBC alloimmunization and help to identify the 'immune responders' in transfusion practice. Methods: In this case-control study, we enrolled 277 transfused SCD patients with retrospective data on alloimmunization status and transfusion exposure from two Brazilian centers. DNA samples (collected from March, 2017 to June, 2018) were extracted from whole blood samples using commercial kits (PureLink™ Genomic DNA®, Invitrogen, CA), and used for PCR amplification of promoter region of FCGR2B gene containing both -386G/C and -120T/A single nucleotide polymorphisms (SNPs) using gene-specific primer. SNPs of the FCGR2B were genotyped by direct Sanger sequencing (ABI3730XL, Applied Biosystems, CA). Cases had a positive history of alloimmunization with a clinically significant alloantibody and a minimum transfusion exposure of 1 RBC unit. Controls had a negative history of alloimmunization and having received ≥ 2 RBC units. Patients with autoimmune diseases or poor quality of DNA were excluded. Unadjusted and adjusted analyses were conducted by using Logistic Regression models to determine the association of covariates with binary outcome. Since the assumption of linearity in the logit was not supported, continuous covariates were categorized based on optimum cut-off point derived from ROC analysis. All statistical analyses were performed using SAS University Edition. A p-value of
Print ISSN:
0006-4971
Electronic ISSN:
1528-0020
Topics:
Biology
,
Medicine
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