Evidence map›Paper›PMID 42148072›Full record

ReviewFrontiers in immunology2026

B-cell peripheral tolerance: think dynamics beyond affinity.

Patrick Henong Yuan, Helen Huang, Haripriya Vaidehi Narayanan, Alexander Hoffmann

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Patrick Henong Yuan *Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, United States.
Helen Huang *Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, United States.
Haripriya Vaidehi NarayananInstitute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, United States.
Alexander HoffmannInstitute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maintaining B-cell tolerance - the elimination of self-reactive B-cells - is literally a life-long challenge because the B-cell receptor mutates to generate millions of new variants during each immune response in the germinal center (GC) of lymph nodes. B-cell tolerance therefore rests on local mechanisms within GCs, i.e., in the periphery, whereas classical T-cell tolerance mechanisms operate in the thymus (central tolerance) when T-cell diversity is generated during immune development. While T-cell tolerance has been shown to be mediated by kinetic proofreading mechanisms that are capable of distinguishing small affinity differences, we argue here that B-cell tolerance mechanisms in the GC operate at different timescales covering intra- and, inter-cellular signaling in the light zone, and iterative light-dark-zone cycling, where the temporal relationship between BCR and CD40 signaling are key to determining whether a B-cell is positively or negatively selected. This review summarizes how recent research points to a new conceptual paradigm for B-cell tolerance that must involve the analysis of intracellular and intercellular network dynamics. We show how multi-scale dynamical systems modeling will be key to elucidate B-cell selection mechanisms and enable a predictive understanding of how autoimmune pathologies arise.

Indexed as

B-LymphocytesImmune TolerancePeripheral ToleranceAnimalsGerminal CenterHumansReceptors, Antigen, B-CellSignal TransductionT-LymphocytesReceptors, Antigen, B-CellAge-associated B cellsAICDanergic T cellsantigen captureantigen receptorautoimmune pathologiesB1-8hi splenic B cellsB1-8lo

Identifiers

PMID42148072
PMCPMC13176259

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.