Evidence map›Paper›PMID 26187853›Full record

ReviewTrends in immunology2015

Utilizing population variation, vaccination, and systems biology to study human immunology.

John S Tsang

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Trends in immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05856396 (Maternal Determinants of Infant Immunity to Pertussis), which is not on this map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
5.2field-weighted citation impact, top 4% 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.

NCT05856396 phase4completednot on this mapstarted 2023, after this paper: background citation

Maternal Determinants of Infant Immunity to Pertussis

TypeinterventionalSponsorCentre Hospitalier Universitaire Saint PierreRan2023 to 2025Enrolled200ConditionsVaccination, Infection, Maternal-Fetal Relations, PertussisArmsTriaxis® (Pertussis-containing vaccine), Vaxelis® (Pertussis-containing vaccine)
3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 94 citations in OpenAlex.

  1. Trial
  2. Efficacy of BCG Vaccination Against Respiratory Tract Infections in Older Adults During the Coronavirus Disease 2019 Pandemic.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Trial
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Constraints and tunability of antigen-agnostic memory durability.bioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Serial Sampling of the Small Airway Epithelium to Identify Persistent Smoking-dysregulated Genes.American journal of respiratory and critical care medicine · 2023
    Article
  20. Review

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

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

1 author at 1 institution in 1 country.

John S TsangSystems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, MD 20892, USA; Trans-NIH Center for Human Immunology, Autoimmunity, and Inflammation (CHI), National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: john.tsang@nih.gov.
National Institute of Allergy and Infectious Diseases · US

Funding

Integrative analysis and modeling of human immune responses and pathologiesZIAAI001152 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI TSANG, JOHN · 2011 to 2022
$14.1M
Intramural NIH HHS Z99 AI999999Intramural NIH HHS ZIA AI001152
6 · The paper itself

Abstract

The move toward precision medicine has highlighted the importance of understanding biological variability within and across individuals in the human population. In particular, given the prevalent involvement of the immune system in diverse pathologies, an important question is how much and what information about the state of the immune system is required to enable accurate prediction of future health and response to medical interventions. Towards addressing this question, recent studies using vaccination as a model perturbation and systems-biology approaches are beginning to provide a glimpse of how natural population variation together with multiplexed, high-throughput measurement and computational analysis can be used to uncover predictors of immune response quality in humans. Here I discuss recent developments in this emerging field, with emphasis on baseline correlates of vaccination responses, sources of immune-state variability, as well as relevant features of study design, data generation, and computational analysis.

Indexed as

Systems BiologyVaccinationHumansImmune System

Identifiers

PMID26187853
PMCPMC4979540
OpenAlexW1630221068

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.