The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Macrophage diversity in renal injury and repair
Open accessAbstract
Monocyte-derived macrophages can determine the outcome of the immune response and whether this response contributes to tissue repair or mediates tissue destruction. In addition to their important role in immune-mediated renal disease and host defense, macrophages play a fundamental role in tissue remodeling during embryonic development, acquired kidney disease, and renal allograft responses. This review summarizes macrophage phenotype and function in the orchestration of kidney repair and replacement of specialized renal cells following injury. Recent advances in our understanding of macrophage heterogeneity in response to their microenvironment raise new and exciting therapeutic possibilities to attenuate or conceivably reverse progressive renal disease in the context of fibrosis. Furthermore, parallels with pathological processes in many other organs also exist.
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Cites
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Cited by
Protective and pathogenic functions of macrophage subsets
Murray, P. J., & Wynn, T. A. (2011) · Nature Reviews Immunology · doi:10.1038/nri3073 · Cited by 5,269
Macrophage plasticity and polarization in tissue repair and remodelling
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Cellular and molecular mechanisms of renal fibrosis
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Trophic macrophages in development and disease
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Distinct macrophage phenotypes contribute to kidney injury and repair
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Metadata
- Authors
- Ricardo, S. D., van Goor, H., & Eddy, A. A.
- Venue
- Journal of Clinical Investigation
- Published
- 2008-11-03
- Volume
- 118
- Issue
- 11
- Pages
- 3522-3530
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2095400574
- Cited by
- 724
- References
- 15
- FWCI
- 14.29
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
