Cited by 337Influenza Virus Research StudiesImmune responses and vaccinationsImmunotherapy and Immune Responses

Systems analysis of immunity to influenza vaccination across multiple years and in diverse populations reveals shared molecular signatures

Open access
Nakaya, Helder I., Hagan, Thomas, Duraisingham, Sai S., Lee, Eva K., Kwissa, Marcin, Rouphael, Nadine, Frasca, Daniela, Gersten, Merril +10 more·2015·Immunity

Abstract

Systems approaches have been used to describe molecular signatures driving immunity to influenza vaccination in humans. Whether such signatures are similar across multiple seasons and in diverse populations is unknown. We applied systems approaches to study immune responses in young, elderly, and diabetic subjects vaccinated with the seasonal influenza vaccine across five consecutive seasons. Signatures of innate immunity and plasmablasts correlated with and predicted influenza antibody titers at 1 month after vaccination with >80% accuracy across multiple seasons but were not associated with the longevity of the response. Baseline signatures of lymphocyte and monocyte inflammation were positively and negatively correlated, respectively, with antibody responses at 1 month. Finally, integrative analysis of microRNAs and transcriptomic profiling revealed potential regulators of vaccine immunity. These results identify shared vaccine-induced signatures across multiple seasons and in diverse populations and might help guide the development of next-generation vaccines that provide persistent immunity against influenza.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.immuni.2015.11.012

Cites

55 of 55 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The vaccination-induced innate immune signature is impaired in older individuals.

    “This vaccination-induced innate immune signature was impaired in older individuals”

    From Successful and Maladaptive T Cell Aging (2017) · cites this paper as Nakaya et al., 2015

  • Such inflammatory signatures were more common in older individuals.

    “Notably, such signatures were more common in older individuals.”

    From Successful and Maladaptive T Cell Aging (2017) · cites this paper as Nakaya et al., 2015

  • Early innate responses on the day after influenza vaccination, largely antiviral and type I IFN-related genes, correlate with superior vaccine responses.

    “early innate responses on the day after influenza vaccination, largely comprised of antiviral and type I IFN-related genes, correlated with superior vaccine responses.”

    From Successful and Maladaptive T Cell Aging (2017) · cites this paper as Nakaya et al., 2015

  • In longitudinal annual influenza vaccination studies, inflammatory monocyte transcriptional signatures at baseline consistently correlated with poorer antibody responses, suggesting inflammation is detrimental to protective humoral immunity.

    “In longitudinal studies of annual influenza vaccinations, inflammatory monocyte transcriptional signatures at baseline consistently correlated with poorer antibody responses, suggesting that an inflammatory state is detrimental to the establishment of protective humoral immunity”

    From Successful and Maladaptive T Cell Aging (2017) · cites this paper as Nakaya et al., 2015

  • Pre-vaccination expression of genes associated with T-cell and B-cell function is positively correlated with influenza-specific antibody responses, while monocyte- and inflammation-related genes are negatively correlated.

    “Pre-vaccination expression of genes associated with T-cell and B-cell function were positively correlated with influenza-specific antibody responses, while monocyte- and inflammation-related genes were negatively correlated with influenza-specific antibody responses, supporting the concept that inflammatory responses at baseline might be detrimental to vaccine-induced antibody responses [155].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Nakaya, H. I., Hagan, T., Duraisingham, S. S., Lee, E. K., Kwissa, M., Rouphael, N., Frasca, D., Gersten, M., Mehta, A. K., Gaujoux, R., Li, G.-M., Gupta, S., Ahmed, R., Mulligan, M. J., Shen-Orr, S., Blomberg, B. B., Subramaniam, S., & Pulendran, B.
Affiliations
  • Emory University (US)
  • University of California San Diego (US)
  • Churchill Hospital (GB)
  • Georgia Institute of Technology (US)
  • University of Chicago (US)
  • University of Miami (US)
  • Technion – Israel Institute of Technology (IL)
Corresponding author
  • Subramaniam, Shankar
  • Pulendran, Bali
Venue
Immunity
Publisher
Elsevier BV
Published
2015-12
Volume
43
Issue
6
Pages
1186-1198
ISSN
1074-7613 (ISSN-L)
OpenAlex
W2215687226
Cited by
337
References
55
Citations by year
2026: 16 · 2025: 30 · 2024: 26 · 2023: 30 · 2022: 46 · 2021: 35 · 2020: 38 · 2019: 41 · 2018: 27 · 2017: 34 · 2016: 12 · 2015: 2
FWCI
19.60
Type
journal article
Language
en
Open access
Locations
  • Immunity (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute on Aging (R37AG023717)
  • National Institute of Allergy and Infectious Diseases (R38AI140299, R37 AI48638, U19AI090023, U54AI057157, HHSN272201400004C, P30AI050409, U19AI057266, R37AI048638)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R37DK057665)
Topics
  • Health Sciences › Medicine › Epidemiology › Influenza Virus Research Studies
  • Life Sciences › Immunology and Microbiology › Immunology › Immune responses and vaccinations
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
Keywords
influenza vaccination, vaccine-induced immunity, seasonal influenza vaccine, antibody response, molecular signatures, innate immunity, plasmablasts, monocyte inflammation, microRNA, gene expression profiling, older adults, diabetes mellitus, cross-population comparison
MeSH terms
Adult, Aged, Antibodies, Viral, Female, Flow Cytometry, Humans, Influenza, Human, Influenza Vaccines, Male, Middle Aged, Seasons, Systems Analysis, Oligonucleotide Array Sequence Analysis, Transcriptome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review