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Cited by 577

The DOI matches its Crossref record; 205 of the 205 references it cites were found in a registry or an index.

Targeting immunometabolism as an anti-inflammatory strategy

Open access
Pålsson-McDermott, Eva M., O’Neill, Luke A. J.·2020·Cell Research

Abstract

The growing field of immunometabolism has taught us how metabolic cellular reactions and processes not only provide a means to generate ATP and biosynthetic precursors, but are also a way of controlling immunity and inflammation. Metabolic reprogramming of immune cells is essential for both inflammatory as well as anti-inflammatory responses. Four anti-inflammatory therapies, DMF, Metformin, Methotrexate and Rapamycin all work by affecting metabolism and/or regulating or mimicking endogenous metabolites with anti-inflammatory effects. Evidence is emerging for the targeting of specific metabolic events as a strategy to limit inflammation in different contexts. Here we discuss these recent developments and speculate on the prospect of targeting immunometabolism in the effort to develop novel anti-inflammatory therapeutics. As accumulating evidence for roles of an intricate and elaborate network of metabolic processes, including lipid, amino acid and nucleotide metabolism provides key focal points for developing new therapies, we here turn our attention to glycolysis and the TCA cycle to provide examples of how metabolic intermediates and enzymes can provide potential novel therapeutic targets.

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Metadata

Authors
Pålsson-McDermott, E. M., & O’Neill, L. A. J.
Venue
Cell Research
Published
2020-03-04
Volume
30
Issue
4
Pages
300-314
ISSN
  • 1001-0602 (ISSN-L)
  • 1748-7838
OpenAlex
W3009569400
Cited by
577
References
205
FWCI
20.95
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Targeting immunometabolism as an anti-inflammatory strategy. https://app.cochat.ai/papers/10.1038/s41422-020-0291-z
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Pålsson-McDermott, E. M., & O’Neill, L. A. J. (2020). Targeting immunometabolism as an anti-inflammatory strategy. Cell Research. https://doi.org/10.1038/s41422-020-0291-z

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

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