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Cited by 625

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Uncoupling of Immune Complex Formation and Kidney Damage in Autoimmune Glomerulonephritis

Clynes, Raphael, Dumitru, Calin, Ravetch, Jeffrey V.·1998·Science

Abstract

The generation of autoantibody and subsequent tissue deposition of immune complexes (IC) is thought to trigger the pathogenic consequences of systemic autoimmune disease. Modulation of the autoantibody response disrupts pathogenesis by preventing the formation of ICs; however, uncoupling IC formation from subsequent inflammatory responses seems unlikely because of the apparent complexity of the IC-triggered inflammatory cascade. However, the disruption of a single gene, which encodes the γ chain of the Fc receptor, was found to achieve this uncoupling in a spontaneous model of lupus nephritis, the New Zealand Black/New Zealand White (NZB/NZW) mouse. Gamma chain–deficient NZB/NZW mice generated and deposited IC and activated complement, but were protected from severe nephritis, thus defining another potential pathway for therapeutic intervention in autoimmune disease.

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Metadata

Authors
Clynes, R., Dumitru, C., & Ravetch, J. V.
Venue
Science
Published
1998-02-13
Volume
279
Issue
5353
Pages
1052-1054
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2085406842
Cited by
625
References
1
FWCI
32.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Uncoupling of Immune Complex Formation and Kidney Damage in Autoimmune Glomerulonephritis. https://app.cochat.ai/papers/10.1126/science.279.5353.1052
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Clynes, R., Dumitru, C., & Ravetch, J. V. (1998). Uncoupling of Immune Complex Formation and Kidney Damage in Autoimmune Glomerulonephritis. Science. https://doi.org/10.1126/science.279.5353.1052

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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.