Evidence map›Paper›PMID 24440991›Full record

ReviewExperimental gerontology2014

Mucosal adjuvants for vaccines to control upper respiratory infections in the elderly.

Kohtaro Fujihashi, Shintaro Sato, Hiroshi Kiyono

Abstract readReview
In one paragraph

Review in Experimental gerontology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Pneumococcal Capsular Polysaccharide Immunity in the Elderly.Clinical and vaccine immunology : CVI · 2017
    Review
  12. Mucosal adjuvants: Opportunities and challenges.Human vaccines & immunotherapeutics · 2016
    Article
  13. Pneumococcal Vaccination Strategies. An Update and Perspective.Annals of the American Thoracic Society · 2016
    Review
  14. Article
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Kohtaro FujihashiDepartment of Pediatric Dentistry, The Immunobiology Vaccine Center, The Institute of Oral Health Research, The School of Dentistry, The University of Alabama at Birmingham, Birmingham, AL 35294-0007, USA; Department of Microbiology, The Immunobiology Vaccine Center, The Institute of Oral Health Research, The School of Dentistry, The University of Alabama at Birmingham, Birmingham, AL 35294-0007, USA. Electronic address: kohtarof@uab.edu.
Shintaro SatoDivision of Mucosal Immunology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan; International Research and Development Center for Mucosal Vaccines, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan.
Hiroshi KiyonoDepartment of Pediatric Dentistry, The Immunobiology Vaccine Center, The Institute of Oral Health Research, The School of Dentistry, The University of Alabama at Birmingham, Birmingham, AL 35294-0007, USA; Department of Microbiology, The Immunobiology Vaccine Center, The Institute of Oral Health Research, The School of Dentistry, The University of Alabama at Birmingham, Birmingham, AL 35294-0007, USA; Division of Mucosal Immunology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan; International Research and Development Center for Mucosal Vaccines, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan.
The University of Tokyo · JPUniversity of Alabama at Birmingham · US

Funding

NALT-BASED ADJUVANTS FOR MUCOSAL IMMUNITY IN AGINGR01AG025873 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FUJIHASHI, KOHTARO · 2006 to 2010
$1.4M
NIA NIH HHS AG025873NIA NIH HHS R01 AG025873
6 · The paper itself

Abstract

Influenza virus and Streptococcus pneumoniae are two major pathogens that lead to significant morbidity and mortality in the elderly. Since both pathogens enter the host via the mucosa, especially the upper respiratory tract (URT), it is essential to elicit pathogen-specific secretory IgA (SIgA) antibody (Ab) responses at mucosal surfaces for defense of the elderly. However, as aging occurs, alterations in the mucosal immune system of older individuals result in a failure to induce SIgA Abs for protection from these infections. To overcome mucosal immunosenescence, we have developed a mucosal dendritic cell targeting, novel double adjuvant system which we show to be an attractive and effective immunological modulator. This system induces a more balanced Th1- and Th2-type cytokine response which supports both mucosal SIgA and systemic IgG1 and IgG2a Ab responses. Thus, adaptation of this adjuvant system to nasal vaccines for influenza virus and S. pneumoniae could successfully provide protection by supporting pathogen-specific SIgA Ab responses in the URT in the mouse model of aging. In summary, a double adjuvant system is considered to be an attractive and potentially important strategy for the future development of mucosal vaccines for the elderly.

Indexed as

Adjuvants, ImmunologicAdaptive ImmunityAgedAnimalsCytokinesHumansImmunity, MucosalImmunoglobulin A, SecretoryInfluenza, HumanInfluenza VaccinesMicePneumococcal InfectionsRespiratory MucosaRespiratory Tract InfectionsStreptococcal VaccinesStreptococcus pneumoniaeAdjuvants, ImmunologicCytokinesImmunoglobulin A, SecretoryInfluenza VaccinesStreptococcal VaccinesInfectious diseaseMucosaRespiratory tractSIgAVaccine

Identifiers

PMID24440991
PMCPMC3989367
OpenAlexW1965556233

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.