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Cited by 428

The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.

The Intersection of Epigenetics and Metabolism in Trained Immunity

Open access
Fanucchi, Stephanie, Domínguez-Andrés, Jorge, Joosten, Leo A.B., Netea, Mihai G., Mhlanga, Musa M.·2021·Immunity

Abstract

The last few years have witnessed an increasing body of evidence that challenges the traditional view that immunological memory is an exclusive trait of the adaptive immune system. Myeloid cells can show increased responsiveness upon subsequent stimulation with the same or a different stimulus, well after the initial challenge. This de facto innate immune memory has been termed "trained immunity" and is involved in infections, vaccination and inflammatory diseases. Trained immunity is based on two main pillars: the epigenetic and metabolic reprogramming of cells. In this review we discuss the latest insights into the epigenetic mechanisms behind the induction of trained immunity, as well as the role of different cellular metabolites and metabolic networks in the induction, regulation and maintenance of trained immunity.

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Metadata

Authors
Fanucchi, S., Domínguez-Andrés, J., Joosten, L. A. B., Netea, M. G., & Mhlanga, M. M.
Venue
Immunity
Publisher
Elsevier BV
Published
2021-01
Volume
54
Issue
1
Pages
32-43
ISSN
1074-7613 (ISSN-L)
OpenAlex
W3100724954
Cited by
428
References
78
FWCI
10.33
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Intersection of Epigenetics and Metabolism in Trained Immunity. https://app.cochat.ai/papers/10.1016/j.immuni.2020.10.011
The paper
Fanucchi, S., Domínguez-Andrés, J., Joosten, L. A. B., Netea, M. G., & Mhlanga, M. M. (2021). The Intersection of Epigenetics and Metabolism in Trained Immunity. Immunity. https://doi.org/10.1016/j.immuni.2020.10.011

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.