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. Author manuscript; available in PMC: 2018 Aug 2.
Published in final edited form as: Cold Spring Harb Perspect Biol. 2018 Aug 1;10(8):a028886. doi: 10.1101/cshperspect.a028886

Table 1.

Influenza studies

References Cohort (n) Vaccine Technology Concept
Bucasas et al. 2011 Adult males (119), age 18–40 years, 2008 flu season TIV Microarray analysis on PBMCs D0, D1, D3, D14 Response to vaccine is associated with common transcriptional signatures; early gene up-regulation of IFN-related genes and antigen processing and presentation
Late gene up-regulation of proliferation and biosynthesis-related genes
Gene signature correlates with magnitude of antibody response
Nakaya et al. 2011 Adults (56) over 3 years, 2007–2009 TIV versus LAIV FACS analysis; microarray analysis on PBMCs D0, D3, D7 Early TIV transcriptional response correlates with increase in antibody titer; B-cell signature
LAIV produced a T-cell and monocyte signature; IFN signature; link between host innate immunity and antibody response
Identified a kinase that may be involved with regulation of antibody responses
Furman et al. 2013 Older adults (59); younger adults (30) TIV Microarry; CyTOF; Luminex on PBMCs from D0, D28 Preexisting antibody repertoire against HA epitopes can predict response to vaccination
Biomarkers for predicting antibody response include genes related to apoptosis
Bentebibel et al. 2013 Adults (12), 2009; children (19), 2010; adults (37), 2011 TIV, same B strain both years; different H3N2 and H1N1 FACS analysis D0, D7 Increased blood TFH 7 days after vaccination (ICOS+) provide help to memory B cells, and correlate with increased antibody titers in subjects with preexisting antibody titers
Plasmablast number 7 days postvaccination does not correlate with antibody response in children
Furman et al. 2014 Adult males (34); females (53) TIV Microarray, FACS on PBMCs from D0, D28 Testosterone levels affect response to vaccination
Tsang et al. 2014 Adults (63), 2009 TIV and pH1N1 Microarray, FACS analysis on PBMCs on D-7, D0, D1, D7, D70 Prevaccination parameters can predict antibody response
Used baseline cell subpopulation frequencies to predict response
Furman et al. 2015 Y1: Young (30), older (61); Y2: young (25), older (52) TIV Micorarray, on PBMCs from D0, D28 Chronic viral infection (CMV) enhances immune response after vaccination in young, but not older individuals
Nakaya et al. 2015 Elderly (54), young (141), diabetic (17) over 5 years, 2007–2011; previous cohort (218) TIV Microarray, FACS analysis (2010 cohort); microRNA (miRNA) profiling (2010 cohort) on PBMCs on D0, D1, D3, D7, D14 Prevaccination signatures correlate with antibody response to vaccination
Antibody response correlates with age
Early IFN signature
Later ASC and cell-cycle signatures
Decreased IFN response and enhanced NK and monocyte response in elderly miRNAs were up-regulated in elderly and correlated with antibody response
Sobolev et al. 2016 Adults (178) 18–63 years old Adjuvanted H1N1 Microarray, FACS analysis, Luminex on PBMCs on D-7, D0, D1, D7 Increased adverse effects after vaccination is associated with increased number of transitional B cells at baseline
No common signature for nonresponders
Nakaya et al. 2016 Children (90) 14–24 months old, 2012–2013 TIV ATIV (MF59) Microarray, FACS analysis on PBMCs from D0, D1, D3, D7, D28 Adjuvanted vaccine provides more uniform and robust response across the entire cohort
Adjuvant enhances kinetics of serum antibody titers and induction of multi-cytokine-producing CD4 T cells

TIV, Trivalent-inactivated influenza vaccine; PBMC, peripheral blood mononuclear cell; IFN, interferon; LAIV, live attenuated influenza vaccine; FACS, fluorescence-activated cell sorting; CyTOF, cytometry by time-of-flight; HA, hemagglutinin; ASC, antibody secreting cell; NK, natural killer; ATIV, adjuvanted trivalent influenza vaccine.