Evidence map›Paper›PMID 39931794›Full record

ReviewEuropean journal of immunology2025

Deciphering the Human Germinal Center: A Review of Models to Study T-B Cell Interactions.

Elisa Fleischmann, Vera Middelkamp, Theo van den Broek

Abstract readReview
In one paragraph

Review in European journal of immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. iScience · 2026
    Article
  2. Human Organoids as a Novel Tool for Vaccine Study.Advanced healthcare materials · 2026
    Review
  3. Review
  4. Review
  5. Review
  6. Frontiers in cellular and infection microbiology · 2025
    Review
  7. 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.

Elisa FleischmannCenter for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0009-0006-1175-2138
Vera MiddelkampCenter for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0009-0005-7674-2371
Theo van den BroekCenter for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-2781-5731

Funding

The Netherlands Organisation for Health Research and Development (ZonMw) 09150162210095Wilhelmina Children's Hospital Fund (WKZ fonds) WKZ23040506
6 · The paper itself

Abstract

Interactions between T- and B cells in the germinal center reaction are instrumental for the initiation, maintenance, and downregulation of the human adaptive immune response, leading to the production of antigen-specific antibodies and long-lasting immunological memory. Replicating the human immune system remains challenging, with an over-reliance on animal models with limited translational accuracy. There is an increasing need for new tools that accurately model human immune function. This review evaluates existing 2D and 3D in vitro and ex vivo human models for their ability to reproduce the germinal center reaction, with a particular focus on T- and B-cell interaction. We conclude that although current models are able to replicate certain features of the germinal center reaction, no current model is able to completely replicate the complex human GC process. We outline the challenges in recreating a fully functional germinal center and suggest future directions of research to improve existing models, ultimately bringing us closer to completely reproducing the human lymph node.

Indexed as

B-LymphocytesCell CommunicationGerminal CenterT-LymphocytesAnimalsHumans

Identifiers

PMID39931794
PMCPMC11811811

What OpenQuestion holds

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LicenceCC BY
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.