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Molecular signatures of antibody responses derived from a systems biological study of 5 human vaccines

Many vaccines induce protective immunity via antibodies. Recent studies have used systems biological approaches to determine signatures that predict vaccine immunity in humans, but whether there is a ‘universal signature’ that can predict antibody responses to any vaccine, is unknown. Here we perfor...

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Detalles Bibliográficos
Autores principales: Li, Shuzhao, Rouphael, Nadine, Duraisingham, Sai, Romero-Steiner, Sandra, Presnell, Scott, Davis, Carl, Schmidt, Daniel S, Johnson, Scott E, Milton, Andrea, Rajam, Gowrisankar, Kasturi, Sudhir, Carlone, George M, Quinn, Charlie, Chaussabel, Damien, Palucka, A Karolina, Mulligan, Mark J, Ahmed, Rafi, Stephens, David S, Nakaya, Helder I, Pulendran, Bali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3946932/
https://www.ncbi.nlm.nih.gov/pubmed/24336226
http://dx.doi.org/10.1038/ni.2789
Descripción
Sumario:Many vaccines induce protective immunity via antibodies. Recent studies have used systems biological approaches to determine signatures that predict vaccine immunity in humans, but whether there is a ‘universal signature’ that can predict antibody responses to any vaccine, is unknown. Here we performed systems analyses of immune responses to the meningococcal polysaccharide and conjugate vaccines in healthy adults, in the broader context of our previous studies with the yellow fever and two influenza vaccines. To achieve this, we performed a large-scale network integration of public human blood transcriptomes, and systems-scale databases in specific biological contexts, and deduced a set of blood transcription modules. These modules revealed distinct transcriptional signatures of antibody responses to different classes of vaccines providing key insights into primary viral, protein recall and anti-polysaccharide responses. These results illuminate the early transcriptional programs orchestrating vaccine immunity in humans, and demonstrate the power of integrative network modeling.