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Usage Information

Patterns of ANA+ B cells for SLE patient stratification
Jolien Suurmond, … , Cynthia Aranow, Betty Diamond
Jolien Suurmond, … , Cynthia Aranow, Betty Diamond
Published May 2, 2019
Citation Information: JCI Insight. 2019;4(9):e127885. https://doi.org/10.1172/jci.insight.127885.
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Research Article Immunology

Patterns of ANA+ B cells for SLE patient stratification

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Abstract

IgG antinuclear antibodies (ANAs) are a dominant feature of several autoimmune diseases. We previously showed that systemic lupus erythematosus (SLE) is characterized by increased ANA+ IgG plasmablasts/plasma cells (PCs) through aberrant IgG PC differentiation rather than an antigen-specific tolerance defect. Here, we aimed to understand the differentiation pathways resulting in ANA+ IgG PCs in SLE patients. We demonstrate distinct profiles of ANA+ antigen-experienced B cells in SLE patients, characterized by either a high frequency of PCs or a high frequency of IgG+ memory B cells. This classification of SLE patients was unrelated to disease activity and remained stable over time in almost all patients, suggesting minimal influence of disease activity. A similar classification applies to antigen-specific B cell subsets in mice following primary immunization with T-independent and T-dependent antigens as well as in lupus-prone mouse models (MRL/lpr and NZB/W). We further show that, in both lupus-prone mice and SLE patients, the classification correlates with the serum autoantibody profile. In this study, we identified B cell phenotypes that we propose reflect an extrafollicular pathway for PC differentiation or a germinal center pathway, respectively. The classification we propose can be used to stratify patients for longitudinal studies and clinical trials.

Authors

Jolien Suurmond, Yemil Atisha-Fregoso, Ashley N. Barlev, Silvia A. Calderon, Meggan C. Mackay, Cynthia Aranow, Betty Diamond

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Usage data is cumulative from August 2021 through August 2022.

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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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