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Cited by 388

The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.

Evolution of Inflammatory Diseases

Open access
Okin, Daniel, Medzhitov, Ruslan·2012·Current Biology

Abstract

The association of inflammation with modern human diseases (e.g. obesity, cardiovascular disease, type 2 diabetes mellitus, cancer) remains an unsolved mystery of current biology and medicine. Inflammation is a protective response to noxious stimuli that unavoidably occurs at a cost to normal tissue function. This fundamental tradeoff between the cost and benefit of the inflammatory response has been optimized over evolutionary time for specific environmental conditions. Rapid change of the human environment due to niche construction outpaces genetic adaptation through natural selection, leading increasingly to a mismatch between the modern environment and selected traits. Consequently, multiple tradeoffs that affect human physiology are not optimized to the modern environment, leading to increased disease susceptibility. Here we examine the inflammatory response from an evolutionary perspective. We discuss unique aspects of the inflammatory response and its evolutionary history that can help explain the association between inflammation and modern human diseases.

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Crossref · 10.1016/j.cub.2012.07.029

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Metadata

Authors
Okin, D., & Medzhitov, R.
Venue
Current Biology
Publisher
Elsevier BV
Published
2012-09
Volume
22
Issue
17
Pages
R733-R740
ISSN
0960-9822 (ISSN-L)
OpenAlex
W2016281184
Cited by
388
References
73
FWCI
10.56
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Evolution of Inflammatory Diseases. https://app.cochat.ai/papers/10.1016/j.cub.2012.07.029
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Okin, D., & Medzhitov, R. (2012). Evolution of Inflammatory Diseases. Current Biology. https://doi.org/10.1016/j.cub.2012.07.029

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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.