Academic Journal

Latent effector capacity governs reversible T cell exhaustion: A theoretical mathematical model of PD-1 blockade response.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Latent effector capacity governs reversible T cell exhaustion: A theoretical mathematical model of PD-1 blockade response.
Συγγραφείς: Liew AY; Department of Immunology, Mayo Clinic College of Medicine, Rochester, MN, USA., Li Y; Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA., Dong H; Department of Immunology, Mayo Clinic College of Medicine, Rochester, MN, USA.; Department of Urology, Mayo Clinic, Rochester, MN, USA.
Πηγή: Science advances [Sci Adv] 2026 Oct 16; Vol. 12 (42), pp. eaei0840. Date of Electronic Publication: 2026 Oct 16.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: MEDLINE
Imprint Name(s): Original Publication: Washington, DC : American Association for the Advancement of Science, [2015]-
Ιατρικοί όροι (MeSH): T-Cell Exhaustion*/drug effects , Immune Checkpoint Inhibitors*/pharmacology , Models, Immunological*, Epigenesis, Genetic ; Humans ; Animals
Περίληψη: T cell exhaustion is often viewed as a terminal state marked by irreversible loss of function during chronic infection and cancer. However, the rapid recovery of antitumor activity in clinical responders after PD-1 blockade suggests that some exhausted T cells retain hidden functional potential. To explain this paradox, we present a theoretical framework that separates latent effector capacity from active effector function. Latent effector capacity represents a history-dependent state reflecting preserved epigenetic accessibility and regulatory readiness, distinct from ongoing gene expression. In this model, PD-1 signaling acts as a reversible mask that suppresses effector function without eliminating the underlying effector capacity. The framework explains preserved chromatin accessibility, rapid reinvigoration after checkpoint blockade, and variable therapeutic responses. By incorporating nonlinear maintenance and erosion of latent effector capacity, the model predicts a bistable system with a point of no return beyond which exhaustion becomes irreversible. These principles may guide development of mechanistically informed biomarkers and artificial intelligence models predicting response to PD-1 therapy.
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Substance Nomenclature: 0 (Immune Checkpoint Inhibitors)
Entry Date(s): Date Created: 20261016 Date Completed: 20261021 Latest Revision: 20261021
Update Code: 20261021
PubMed Central ID: PMC13674514
DOI: 10.1126/sciadv.aei0840
PMID: 42886782
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:2375-2548
DOI:10.1126/sciadv.aei0840