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We have previously shown that the diversity of antibodies in an individual can be displayed on chips on which 130,000 peptides chosen from random sequence space have been synthesized. This immunosignature technology is unbiased in displaying antibody diversity relative to

We have previously shown that the diversity of antibodies in an individual can be displayed on chips on which 130,000 peptides chosen from random sequence space have been synthesized. This immunosignature technology is unbiased in displaying antibody diversity relative to natural sequence space, and has been shown to have diagnostic and prognostic potential for a wide variety of diseases and vaccines. Here we show that a global measure such as Shannon’s entropy can be calculated for each immunosignature. The immune entropy was measured across a diverse set of 800 people and in 5 individuals over 3 months. The immune entropy is affected by some population characteristics and varies widely across individuals. We find that people with infections or breast cancer, generally have higher entropy values than non-diseased individuals. We propose that the immune entropy as measured from immunosignatures may be a simple method to monitor health in individuals and populations.

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    Title
    • Entropy is a Simple Measure of the Antibody Profile and is an Indicator of Health Status: A Proof of Concept
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    Date Created
    2017-12-22
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1038/s41598-017-18469-6
    • Identifier Type
      International standard serial number
      Identifier Value
      2045-2322
    Note
    • The final version of this article, as published in Scientific Reports, can be viewed online at: http://www.nature.com/articles/s41598-017-18469-6

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    Wang, L., Whittemore, K., Johnston, S. A., & Stafford, P. (2017). Entropy is a Simple Measure of the Antibody Profile and is an Indicator of Health Status: A Proof of Concept. Scientific Reports, 7(1). doi:10.1038/s41598-017-18469-6

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