Literature DB >> 28502771

Metabolic Phenotypes of Response to Vaccination in Humans.

Shuzhao Li1, Nicole L Sullivan2, Nadine Rouphael3, Tianwei Yu4, Sophia Banton1, Mohan S Maddur2, Megan McCausland2, Christopher Chiu2, Jennifer Canniff5, Sheri Dubey6, Ken Liu1, ViLinh Tran1, Thomas Hagan2, Sai Duraisingham2, Andreas Wieland2, Aneesh K Mehta1, Jennifer A Whitaker1, Shankar Subramaniam7, Dean P Jones1, Alessandro Sette8, Kalpit Vora6, Adriana Weinberg5, Mark J Mulligan3, Helder I Nakaya9, Myron Levin5, Rafi Ahmed10, Bali Pulendran11.   

Abstract

Herpes zoster (shingles) causes significant morbidity in immune compromised hosts and older adults. Whereas a vaccine is available for prevention of shingles, its efficacy declines with age. To help to understand the mechanisms driving vaccinal responses, we constructed a multiscale, multifactorial response network (MMRN) of immunity in healthy young and older adults immunized with the live attenuated shingles vaccine Zostavax. Vaccination induces robust antigen-specific antibody, plasmablasts, and CD4+ T cells yet limited CD8+ T cell and antiviral responses. The MMRN reveals striking associations between orthogonal datasets, such as transcriptomic and metabolomics signatures, cell populations, and cytokine levels, and identifies immune and metabolic correlates of vaccine immunity. Networks associated with inositol phosphate, glycerophospholipids, and sterol metabolism are tightly coupled with immunity. Critically, the sterol regulatory binding protein 1 and its targets are key integrators of antibody and T follicular cell responses. Our approach is broadly applicable to study human immunity and can help to identify predictors of efficacy as well as mechanisms controlling immunity to vaccination.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Zostavax; herpes zoster vaccine; immune response; metabolomics; multiscale; shingles; systems biology; transcriptomics

Mesh:

Substances:

Year:  2017        PMID: 28502771      PMCID: PMC5711477          DOI: 10.1016/j.cell.2017.04.026

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  49 in total

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