Apoptosis and other immune biomarkers predict influenza vaccine responsiveness. Issue 1 (16th April 2013)

• Record Type: Journal Article
• Authors: Furman, David; Jojic, Vladimir; Kidd, Brian; Shen‐Orr, Shai; Price, Jordan; Jarrell, Justin; Tse, Tiffany; Huang, Huang; Lund, Peder; Maecker, Holden T; Utz, Paul J; Dekker, Cornelia L; Koller, Daphne; Davis, Mark M
• Is Part Of: Molecular systems biology. Volume 9:Issue 1(2013)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2013-04-16
• Subjects: Molecular biology -- Periodicals; Systems biology -- Periodicals; 572.8
• DOI: 10.1038/msb.2013.15
• Languages: English
• ISSNs: 1744-4292

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Despite the importance of the immune system in many diseases, there are currently no objective benchmarks of immunological health. In an effort to identifying such markers, we used influenza vaccination in 30 young (20–30 years) and 59 older subjects (60 to &gt;89 years) as models for strong and weak immune responses, respectively, and assayed their serological responses to influenza strains as well as a wide variety of other parameters, including gene expression, antibodies to hemagglutinin peptides, serum cytokines, cell subset phenotypes and <italic>in vitro</italic> cytokine stimulation. Using machine learning, we identified nine variables that predict the antibody response with 84% accuracy. Two of these variables are involved in apoptosis, which positively associated with the response to vaccination and was confirmed to be a contributor to vaccine responsiveness in mice. The identification of these biomarkers provides new insights into what immune features may be most important for immune health.</p> </abstract>