Apoptosis and Other Immune Biomarkers Predict Influenza Vaccine Responsiveness

Overview

Journal Mol Syst Biol

Specialty Molecular Biology

Date 2013 Apr 18

PMID 23591775

Citations 136

Authors

David Furman

Vladimir Jojic

Brian Kidd

Shai Shen-Orr

Jordan Price

Justin Jarrell

Tiffany Tse

Huang Huang

Peder Lund

Holden T Maecker

Paul J Utz

Cornelia L Dekker

Daphne Koller

Mark M Davis

Affiliations

Soon will be listed here.

Abstract

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 >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 in vitro 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.

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