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Record W4408301389 · doi:10.1111/imm.13916

Original Antigenic Sin in <scp>CD4</scp>+ T Cells

2025· article· en· W4408301389 on OpenAlexafffund
M. Zhang, Junling Ma, Meili Li

Bibliographic record

VenueImmunology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversity of Victoria
FundersChina Scholarship CouncilNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaCanadian Institutes of Health ResearchNatural Science Foundation of Shanghai
KeywordsAntigenHeterologousImmunologyImmune systemT cellAcquired immune systemBiologyAntibodyMemory T cellImmunityCell biologyGeneGenetics

Abstract

fetched live from OpenAlex

Original antigenic sin (OAS) describes the phenomenon in which prior exposure to an antigen weakens the adaptive antibody response to a subsequent heterologous infection. This phenomenon can diminish the effectiveness of immunity acquired through vaccination or previous infections. We demonstrate that OAS arises because CD4+ T cell proliferation and regulation signals are antigen-nonspecific. Rapidly responding memory CD4+ T cells trigger regulatory T cell (Tregs) responses, which prematurely suppress the naïve CD4+ T cell response, leading to a similar OAS effect in CD4+ T cells. This mechanism is illustrated through a mathematical model incorporating naïve and memory CD4+ T cell proliferation, interleukin-2 (IL-2), and Tregs. The model, calibrated with experimental data, employs numerical simulations to analyse how CD4+ T cell responses vary with the degree of cross-reactivity between memory CD4+ T cells and the antigen associated with the secondary infection. The findings indicate that the immune response is weakest at an intermediate level of cross-reactivity, a key characteristic of OAS. This mechanism may also explain OAS in antibody responses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.232
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes2
Has abstractyes

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