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Cited by 235

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Macrophages and Immunologic Inflammation of the Kidney

Open access
Duffield, Jeremy S.·2010·Seminars in Nephrology

Abstract

Monocyte derived tissue effector cells, macrophages, are present in large numbers in all forms of kidney disease with inflammation. Their roles in inflammation and the molecular effectors of macrophage function have been difficult to decipher. With the advent of modern genetic tools and mouse models of human disease, great insight into monocyte/macrophage biology has been forthcoming. In this review we will place macrophage study in its historical context, define immunological diseases of the kidney, and broaden its definition to encompass current thinking of the immune response to kidney injury, highlight key advances of the study of monocyte/macrophages in kidney diseases, and identify new therapeutic pathways and targets that hinge around macrophage function. Here we advance the case that targeting macrophage activation and phenotype is leading to new therapies in treatment of many acute and chronic kidney diseases.

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Crossref · 10.1016/j.semnephrol.2010.03.003

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Metadata

Authors
Duffield, J. S.
Venue
Seminars in Nephrology
Publisher
Elsevier BV
Published
2010-05
Volume
30
Issue
3
Pages
234-254
ISSN
0270-9295 (ISSN-L)
OpenAlex
W1994455716
Cited by
235
References
11
FWCI
7.14
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Macrophages and Immunologic Inflammation of the Kidney. https://app.cochat.ai/papers/10.1016/j.semnephrol.2010.03.003
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Duffield, J. S. (2010). Macrophages and Immunologic Inflammation of the Kidney. Seminars in Nephrology. https://doi.org/10.1016/j.semnephrol.2010.03.003

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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.