DOI: 10.5061/dryad.p6882
title: Data from: An immunosignature test distinguishes Trypanosoma cruzi, hepatitis B, hepatitis C and West Nile Virus seropositivity among asymptomatic blood donors

description: Background: The complexity of the eukaryotic parasite Trypanosoma (T.)
 cruzi manifests in its highly dynamic genome, multi-host life cycle,
 progressive morphologies and immune-evasion mechanisms. Accurate
 determination of infection or Chagas’ disease activity and prognosis
 continues to challenge researchers. We hypothesized that a diagnostic
 platform with higher ligand complexity than previously employed may hold
 value. Methodology: We applied the ImmunoSignature Technology (IST) for
 the detection of T. cruzi-specific antibodies among healthy blood donors.
 IST is based on capturing the information in an individual’s antibody
 repertoire by exposing their peripheral blood to a library of
 &gt;100,000 position-addressable, chemically-diverse peptides.
 Principal findings: Initially, samples from two Chagas cohorts declared
 positive or negative by bank testing were studied. With the first cohort,
 library-peptides displaying differential binding signals between T. cruzi
 sero-states were used to train an algorithm. A classifier was fixed and
 tested against the training-independent second cohort to determine assay
 performance. Next, samples from a mixed cohort of donors declared positive
 for Chagas, hepatitis B, hepatitis C or West Nile virus were assayed on
 the same library. Signals were used to train a single algorithm that
 distinguished all four disease states. As a binary test, the accuracy of
 predicting T. cruzi seropositivity by IST was similar, perhaps modestly
 reduced, relative to conventional ELISAs. However, the results indicate
 that information beyond determination of seropositivity may have been
 captured. These include the identification of cohort subclasses, the
 simultaneous detection and discerning of other diseases, and the discovery
 of putative new antigens. Conclusions & significance: The central
 outcome of this study established IST as a reliable approach for specific
 determination of T. cruzi seropositivity versus disease-free individuals
 or those with other diseases. Its potential contribution for monitoring
 and controlling Chagas lies in IST’s delivery of higher resolution
 immune-state readouts than obtained with currently-used technologies.
 Despite the complexity of the ligand presentation and large quantitative
 readouts, performing an IST test is simple, scalable and reproducible.
description: Multiclass Infectious
 Disease Biomarker DataThis data set consists
 of 331 rows and 126016 columns in a tab delimited text file. Each row
 corresponds to a different sample. The first 7 columns correspond to the
 sample meta data. Donor disease is provided in the second column and
 consist of 84 Chag (Chagas), 88 HBV (Hepatitis B), 71 HCV (Hepatitis C)
 and 88 WNV (West Nile virus). The third column provides the donors'
 age, the fourth the donors' sex. There are 62 females (F) and 1102
 Males in this data set. The fifth column provides the date the sample was
 drawn in YYYY-MM-DD format, and the 6th any available ethnicity
 information. The final meta data column is "process.lock" which
 is an indicator of what process was used to create this particular set of
 arrays. The remaining 126009 correspond to the raw intensities associated
 with the peptide sequence that defines that column
 name.Chagas_Manuscript_2016_MulticlassStudy_Data_Set.zipBinary Classification Disease Biomarker DataThis data set consists of 903 rows and 126018 columns in a tab delimited text file. The first 9 columns correspond to the sample meta data. The first column, sample, corresponds to a given donor. The second column, analysis_set, identifies the cohort as testing or training. The third column, process_lock,is an indicator of what process was used to create this particular set of arrays. The fourth column, Ab2, is the secondary antibody either Anti-IgA or Anti-IgG. The fifth column is diagnostic class either healthy or chagas. The sixth column,med_SCO, is the median ELISA S/CO values. The seventh column is the donors' age. The eigth column the donors' Gender listed as F (Female), M (Male), or U (Unknown). The 9th column, Ethnicity, provides any ethnicity information associated with the donor. The remaining 126009 correspond to the raw intensities associated with the peptide sequence that defines that column name.Chagas_Manuscript_2015_2016_Binary_classification_Study_Data_Set.zip