Title of article :
Improved Specificity and False Discovery Rates for Multiplex Analysis of Changes in Strain-Specific Anti-Influenza IgG
Author/Authors :
Li, Dongmei University of Rochester Medical Center - Rochester, USA , Wang, Jiong Department of Medicine - Division of Nephrology - University of Rochester Medical Center - Rochester, USA , Treanor, John J Department of Medicine - Division of Infectious Diseases - University of Rochester Medical Center - Rochester, USA , Zand, Martin S University of Rochester Medical Center - Rochester, USA
Abstract :
We describe a statistical approach to compare absolute antibody concentrations, both within and across subjects, derived from a
multidimensional measurement of IgG binding to the influenza surface receptor hemagglutinin (HA). 4is approach addresses a
fundamental problem in the field of vaccine immunology: how to accurately compare the levels of antibodies against multiple
influenza strains. 4e mPlex-Flu assay can simultaneously measure the concentration of IgG antibodies against up to 50 influenza
strains with only ≤ 10 μl of serum. It yields mean fluorescence intensity (MFI) over a 4-log range with low inter- and intrasample
variability. While comparison of IgG binding to a single HA between subjects is straightforward, variations in binding behavior
across influenza strains, coupled with reagent variations, make quantifying and comparing binding between multiple HA subtypes
within subjects challenging. In this paper, we first treat such HA variations as an independent antigen and calculate each subtype
antibody concentration using its own standard curve, normalizing variations in HA binding. We applied this method to the
analyses of data from an H5 influenza clinical vaccine study. 4e results demonstrated that there are differences in coefficient
estimates and in results of “comparing groups” between those with versus those without consideration of subtype antibody
variations. 4en, we used simulation studies to show the importance of taking the subtype antibody variations into account in HA
strain antibody data analysis. Using a common standard curve for all subtype antibodies resulted in both inflated type I error and
lowered specificity when comparing different treatment groups. Our results suggest that using individual standard curves for each
influenza HA strain, and independently calculating anti-HA IgG concentrations, allows for adjustment of influenza HA subtype
variations in treatment group comparisons in clinical vaccine studies. 4is method facilitates the direct comparison of serum antiHA IgG concentrations against different influenza HA subtypes for multiplex assays.
Keywords :
IgG , Strain-Specific , Anti-Influenza , MFI
Journal title :
Computational and Mathematical Methods in Medicine