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Usage Information

Anti-citrullinated protein antibodies cause arthritis by cross-reactivity to joint cartilage
Changrong Ge, Dongmei Tong, Bibo Liang, Erik Lönnblom, Nadine Schneider, Cecilia Hagert, Johan Viljanen, Burcu Ayoglu, Roma Stawikowska, Peter Nilsson, Gregg B. Fields, Thomas Skogh, Alf Kastbom, Jan Kihlberg, Harald Burkhardt, Doreen Dobritzsch, Rikard Holmdahl
Changrong Ge, Dongmei Tong, Bibo Liang, Erik Lönnblom, Nadine Schneider, Cecilia Hagert, Johan Viljanen, Burcu Ayoglu, Roma Stawikowska, Peter Nilsson, Gregg B. Fields, Thomas Skogh, Alf Kastbom, Jan Kihlberg, Harald Burkhardt, Doreen Dobritzsch, Rikard Holmdahl
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Research Article Immunology

Anti-citrullinated protein antibodies cause arthritis by cross-reactivity to joint cartilage

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Abstract

Today, it is known that autoimmune diseases start a long time before clinical symptoms appear. Anti-citrullinated protein antibodies (ACPAs) appear many years before the clinical onset of rheumatoid arthritis (RA). However, it is still unclear if and how ACPAs are arthritogenic. To better understand the molecular basis of pathogenicity of ACPAs, we investigated autoantibodies reactive against the C1 epitope of collagen type II (CII) and its citrullinated variants. We found that these antibodies are commonly occurring in RA. A mAb (ACC1) against citrullinated C1 was found to cross-react with several noncitrullinated epitopes on native CII, causing proteoglycan depletion of cartilage and severe arthritis in mice. Structural studies by X-ray crystallography showed that such recognition is governed by a shared structural motif “RG-TG” within all the epitopes, including electrostatic potential-controlled citrulline specificity. Overall, we have demonstrated a molecular mechanism that explains how ACPAs trigger arthritis.

Authors

Changrong Ge, Dongmei Tong, Bibo Liang, Erik Lönnblom, Nadine Schneider, Cecilia Hagert, Johan Viljanen, Burcu Ayoglu, Roma Stawikowska, Peter Nilsson, Gregg B. Fields, Thomas Skogh, Alf Kastbom, Jan Kihlberg, Harald Burkhardt, Doreen Dobritzsch, Rikard Holmdahl

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Usage data is cumulative from September 2025 through September 2026.

Usage JCI PMC
Text version 2,855 110
PDF 401 25
Figure 1,413 0
Table 484 0
Supplemental data 198 5
Citation downloads 386 0
Totals 5,737 140
Total Views 5,877
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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