Evidence map›Paper›PMID 23591775›Full record

ArticleMolecular systems biology2013

Apoptosis and other immune biomarkers predict influenza vaccine responsiveness.

David Furman, Vladimir Jojic, Brian Kidd, Shai Shen-Orr, Jordan Price, Justin Jarrell, Tiffany Tse, Huang Huang, Peder Lund, Holden T Maecker and 4 more

Erratum issued Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT01827462 (Immune Senescence in the Elderly), which is not on this map. Cited by 150 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 2 pooled it
12.8field-weighted citation impact, top 1% 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.

NCT01827462 phase4completednot on this map

Immune Senescence in the Elderly: Comparison of Immune Responses to Influenza Vaccine In Adults of Different Ages

TypeinterventionalSponsorStanford UniversityRan2007 to 2017Enrolled136ConditionsInfluenzaArmsTrivalent, inactivated influenza vaccine (TIV), Quadrivalent, inactivated influenza vaccine (IIV4), High-Dose Trivalent, inactivated influenza vaccine (TIV High-Dose)
3 · Its place in the literature

Who cites it

150 citing papers in PubMed, 2 syntheses or guidelines pooled it, 186 citations in OpenAlex.

  1. Pooled it
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  9. Article
  10. Review
  11. Aging restricts maturation of CXCL13bioRxiv : the preprint server for biology · 2026
    Article
  12. Large language models for bioinformatics.Quantitative biology (Beijing, China) · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Immunological biomarkers of aging.Journal of immunology (Baltimore, Md. : 1950) · 2025
    Review
  18. Article
  19. Review
  20. Article

90 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
  • Erratum issued
5 · Who and what money

Authors and funding

14 authors at 2 institutions in 2 countries.

David FurmanDepartment of Microbiology and Immunology, School of Medicine, Stanford University, Palo Alto, CA 94305, USA.
Vladimir Jojic
Brian Kidd
Shai Shen-Orr
Jordan Price
Justin Jarrell
Tiffany Tse
Huang Huang
Peder Lund
Holden T Maecker
Paul J Utz
Cornelia L Dekker
Daphne Koller
Mark M Davis
Stanford University · USTechnion – Israel Institute of Technology · IL

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
XOLAIR IN SUBJECTS WITH MODERATE TO SEVERE ATOPIC DERMATITIS WITH FOOD ALLERGYM01RR000070 · NCRR · STANFORD UNIVERSITY · PI RASGON, NATALIE L · 1985 to 2008
$32.4M
Virginia Mason/UCHSC Autoimmune Prevention CenterU19AI050864 · NIAID · UNIVERSITY OF COLORADO DENVER · PI HOLERS, VERNON MICHAEL · 2001 to 2011
$29.2M
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
Vaccination and infection: indicators of immunological health and responsivenessU19AI090019 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 2010 to 2015
$17.3M
Howard Hughes Medical InstituteNCRR NIH HHS M01 RR000070NCRR NIH HHS M01 RR00070NIAID NIH HHS T32 AI007290NIAID NIH HHS U19 AI050864NIAID NIH HHS U19-AI050864NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI090019
6 · The paper itself

Abstract

Despite the importance of the immune system in many diseases, there are currently no objective benchmarks of immunological health. In an effort to identifying such markers, we used influenza vaccination in 30 young (20-30 years) and 59 older subjects (60 to >89 years) as models for strong and weak immune responses, respectively, and assayed their serological responses to influenza strains as well as a wide variety of other parameters, including gene expression, antibodies to hemagglutinin peptides, serum cytokines, cell subset phenotypes and in vitro cytokine stimulation. Using machine learning, we identified nine variables that predict the antibody response with 84% accuracy. Two of these variables are involved in apoptosis, which positively associated with the response to vaccination and was confirmed to be a contributor to vaccine responsiveness in mice. The identification of these biomarkers provides new insights into what immune features may be most important for immune health.

Indexed as

VaccinationAdultAgedAged, 80 and overAge FactorsAnimalsAntibodies, ViralApoptosisArtificial IntelligenceBiomarkersCytokinesFemaleHumansImmunity, HumoralInfluenza A virusInfluenza, HumanAntibodies, ViralBiomarkersCytokinesInfluenza VaccinesVaccines, Subunit

Identifiers

PMID23591775
PMCPMC3658270
OpenAlexW2099615297

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.