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  5. Trained immunity causes myeloid cell hypercoagulability

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Article
English
2025

Trained immunity causes myeloid cell hypercoagulability

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English
2025
Science Advances
Vol 11 (10)
DOI: 10.1126/sciadv.ads0105

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Luke O'neill
Luke O'neill

Trinity College Dublin

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Aisling M. Rehill
Seán McCluskey
Anna E. Ledwith
+15 more

Abstract

The pathogenic basis for increased thrombotic risk in individuals with inflammatory diseases is poorly understood. Myeloid cell “trained immunity” describes persistent innate immune cell memory arising from prior exposure to an inflammatory stimulus, leading to an enhanced immune response to subsequent unrelated stimuli. We identify enhanced myeloid cell prothrombotic activity as a maladaptive consequence of trained immunity. Lipopolysaccharide (LPS) stimulation of macrophages trained previously with β-glucan or heme exhibited significantly enhanced procoagulant activity compared to macrophages stimulated with LPS alone, which was mediated by enhanced acid sphingomyelinase–mediated tissue factor decryption. Furthermore, splenic monocytes isolated from β-glucan–trained mice revealed enhanced procoagulant activity up to 4 weeks after β-glucan administration compared to monocytes from control mice over the same time period. Moreover, hematopoietic progenitor cells and bone marrow interstitial fluid from β-glucan–trained mice had enhanced procoagulant activity compared to control mice. Trained immunity and associated metabolic perturbations may therefore represent an opportunity for targeted intervention in immunothrombotic disease development.

How to cite this publication

Aisling M. Rehill, Seán McCluskey, Anna E. Ledwith, Tristram A. J. Ryan, Betül Ünlü, Gemma Leon, Hugo Charles‐Messance, Edmund Gilbert, Paula Klavina, Emily A. Day, Judith A. Coppinger, Jamie M. O’Sullivan, Corrina McMahon, James S. O’Donnell, Annie M. Curtis, Luke O'neill, Frederick J. Sheedy, Roger J. S. Preston (2025). Trained immunity causes myeloid cell hypercoagulability. Science Advances, 11(10), DOI: 10.1126/sciadv.ads0105.

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Publication Details

Type

Article

Year

2025

Authors

18

Datasets

0

Total Files

0

Language

English

Journal

Science Advances

DOI

10.1126/sciadv.ads0105

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