Abstract

Allele specific antibody response against the polymorphic system of HLA is the allogeneic response marker determining the immunological risk for graft acceptance before and after organ transplantation and therefore routinely studied during the patient's workup. Experimentally, bead bound antigen- antibody reactions are detected using a special multicolor flow cytometer (Luminex). Routinely for each sample, antibody responses against 96 different HLA antigen groups are measured simultaneously and a 96-dimensional immune response vector is created. Under a common experimental protocol, using unsupervised clustering algorithms, we analyzed these immune intensity vectors of anti HLA class II responses from a dataset of 1,748 patients before or after renal transplantation residing in a single country. Each patient contributes only one serum sample in the analysis. A population view of linear correlations of hierarchically ordered fluorescence intensities reveals patterns in human immune responses with striking similarities with the previously described CREGs but also brings new information on the antigenic properties of class II HLA molecules. The same analysis affirms that “public” anti-DP antigenic responses are not correlated to anti DR and anti DQ responses which tend to cluster together. Principal Component Analysis (PCA) projections also demonstrate ordering patterns clearly differentiating anti DP responses from anti DR and DQ on several orthogonal planes. We conclude that a computer vision of human alloresponse by use of several dimensionality reduction algorithms rediscovers proven patterns of immune reactivity without any a priori assumption and might prove helpful for a more accurate definition of public immunogenic antigenic structures of HLA molecules. Furthermore, the use of Eigen decomposition on the Immune Response generates new hypotheses that may guide the design of more effective patient monitoring tests.

Highlights

  • Multidimensional Descriptive Statistics are starting to play an increasingly important role in medical and wider scientific fields

  • One of the most widely monitored human Immune Response is humoral anti Human Leukocyte Antigen (HLA) activity, which is usually measured in patients awaiting for a compatible transplant or patients that underwent transplantation and are at risk of developing antibodies against the foreign HLA of the graft

  • Measurement of anti HLA humoral response is frequently performed on Luminex platforms that can simultaneously define antibodies against a selection of ∼100 different antigens coupled on fluorescent beads

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Summary

Introduction

Multidimensional Descriptive Statistics are starting to play an increasingly important role in medical and wider scientific fields. The complexity of the data produced in current day-to-day clinical and scientific practice is growing This further substantiates the necessity for data analysis algorithms that can either improve medical decisions or unveil unknown data properties important for clinical and scientific research [1, 2]. Measurement of anti HLA humoral response is frequently performed on Luminex platforms that can simultaneously define antibodies against a selection of ∼100 different antigens coupled on fluorescent beads. These complex measurements are used as input to the organ allocation algorithms but are used to determine Donor Specific Antibodies (DSA) that can endanger the long-term survival of the organ [3, 4]

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