Evidence map›Paper›PMID 42374599›Full record

ArticleJournal of biomedical semantics2026

Immune biomarkers, profiles, and responses: a vaccine ontology perspective.

Yongqun He, Anthony Huffman, Jie Zheng, Anna Maria Masci, Asiyah Yu Lin, Barry Smith

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. VO: The Vaccine Ontology.Scientific data · 2026
    Article
  2. Article
  3. VO: The Vaccine Ontology.bioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yongqun HeUniversity of Michigan Medical School, Ann Arbor, MI, 48109, USA. yongqunh@umich.edu.
Anthony HuffmanUniversity of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Jie ZhengUniversity of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Anna Maria MasciUniversity of Texas, MD Anderson Cancer Center, Houston, TX, 10808, USA.
Asiyah Yu LinOntoData Research and Solutions LLC, Bethesda, MD, 20817, USA.
Barry SmithUniversity at Buffalo, Buffalo, NY, 14260, USA.

Funding

PRO: A Protein Ontology in Open Biomedical OntologiesR01GM080646 · NIGMS · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2007 to 2018
$8.9M
Ontology-based Information Network to Support Vaccine ResearchR01AI081062 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HE, YONGQUN · 2009 to 2012
$1.1M
NIAID NIH HHS R01 AI081062NIGMS NIH HHS R01 GM080646USA National Institute of Health (NIH) R01AI081062USA National Institute of Health (NIH) R01GM080646
6 · The paper itself

Abstract

backgroundVaccines have the ability to induce a range of immune responses under different conditions, for example stimulating the production of neutralizing antibodies to block pathogen entry or activating cytotoxic T cells to eliminate infected cells. Many such immune responses have not been thoroughly examined and classified. The Vaccine Ontology (VO) is a community-based ontology in the domain of vaccinology. We here describe how VO is used to represent the variety of immune responses associated with vaccines, together with associated biomarkers and profiles.

resultsThe VO differentiates 'vaccination' and 'vaccine immunization.' The former is a process of administering a vaccine in vivo; the latter is the outcome of vaccine induction of immune response. This distinction is critical for understanding both the procedure of vaccination and the resulting immune effects. VO also models and represents various vaccine-induced responses at multiple biological levels, including population, organism, organ/tissue, cell, and gene/protein levels. Such an approach captures the complexity of vaccine-induced immunity, from population-wide trend (for example: herd immunity) to molecular mechanisms. VO defines immune biomarkers as material entities such as neutralizing antibodies that signify a humoral immune response, and IFN gamma that is indicative of cell-mediated responses. Such biomarkers provide measurable indicators of the immune system's functional state post vaccination, enabling robust evaluation of vaccine efficacy. VO classifies 'immune response profile' and 'correlated profile (or correlate) of immune protection' as 'process profiles,' a class in the Basic Formal Ontology (BFO 2.0). Immune response profiles, such as 'Th1 (or Th2)-biased profile,' can be induced by various vaccines and vaccine adjuvants. Different types of 'correlated profile of immune protection' are also identified, such as mechanistic and non-mechanistic correlates of immune protection.

conclusionThe important immune-related terms for immune biomarkers, profiles, and responses are modeled ontologically in VO together with their interrelations. The results support enhanced classification and analysis of vaccine-induced immune responses and related biomarkers and immune profiles, leading to further understanding of the vaccine immune mechanisms and enhanced vaccine research and development.

Indexed as

Biological OntologiesBiomarkersImmunityVaccinesAnimalsHumansBiomarkersVaccinescorrelates of protectionimmune biomarkerimmune profileimmune responseontologyvaccineVaccine ontology

Identifiers

PMID42374599
PMCPMC13602549

What OpenQuestion holds

Textmetadata
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.