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Circulating plasmablasts/plasma cells: a potential biomarker for IgG4-related disease

Overview of attention for article published in Arthritis Research & Therapy, February 2017
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Circulating plasmablasts/plasma cells: a potential biomarker for IgG4-related disease
Published in
Arthritis Research & Therapy, February 2017
DOI 10.1186/s13075-017-1231-2
Pubmed ID

Wei Lin, Panpan Zhang, Hua Chen, Yu Chen, Hongxian Yang, Wenjie Zheng, Xuan Zhang, Fengxiao Zhang, Wen Zhang, Peter E. Lipsky


Immunoglobulin G4 (IgG4)-related disease (IgG4-RD) is a multisystem fibroinflammatory disease. We previously reported that a circulating cell population expressing CD19(+)CD24(-)CD38(hi) was increased in patients with IgG4-RD. In this study, we aimed to document that this cell population represented circulating plasmablasts/plasma cells, to identify the detailed phenotype and gene expression profile of these IgG4-secreting plasmablasts/plasma cells, and to determine whether this B-cell lineage subset could be a biomarker in IgG4-related disease (IgG4-RD). A total of 42 untreated patients with IgG4-RD were evaluated. Peripheral B-cell subsets, including CD19(+)CD24(-)CD38(hi) plasmablasts/plasma cells, CD19(+)CD24(+)CD38(-) memory B cells, CD19(+)CD24(int)CD38(int) naïve B cells, and CD19(+)CD24(hi)CD38(hi) regulatory B cells, were assessed and sorted by flow cytometry. Microarray analysis was used to measure gene expression of circulating B-cell lineage subsets. Further characterization of CD19(+)CD24(-)CD38(hi) plasmablasts/plasma cells was carried out by evaluating additional surface markers, including CD27, CD95, and human leukocyte antigen (HLA)-DR, by flow cytometric assay. In addition, various B-cell lineage subsets were cultured in vitro and IgG4 concentrations were measured by cytometric bead array. In untreated patients with IgG4-RD, the peripheral CD19(+)CD24(-)CD38(hi) plasmablast/plasma cell subset was increased and positively correlated with serum IgG4 levels, the number of involved organs, and the IgG4-related Disease Responder Index. It decreased after treatment with glucocorticoids. Characterization of the plasmablast/plasma cell population by gene expression profiling documented a typical plasmablast/plasma cell signature with higher expression of X-box binding protein 1 and IFN regulatory factor 4, but lower expression of paired box gene 5 and B-cell lymphoma 6 protein. In addition, CD27, CD95, and HLA-DR were highly expressed on CD19(+)CD24(-)CD38(hi) plasmablasts/plasma cells from patients with IgG4-RD. Furthermore, CD19(+)CD24(-)CD38(hi) plasmablasts/plasma cells secreted more IgG4 than other B-cell populations. Circulating CD19(+)CD24(-)CD38(hi) plasmablasts/plasma cells are elevated in active IgG4-RD and decreased after glucocorticoid treatment. This IgG4-secreting plasmablast/plasma cell population might be a potentially useful biomarker for diagnosis and assessing response to treatment.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Ph. D. Student 9 15%
Student > Bachelor 7 11%
Other 7 11%
Student > Master 7 11%
Other 13 21%
Unknown 9 15%
Readers by discipline Count As %
Medicine and Dentistry 26 42%
Immunology and Microbiology 7 11%
Agricultural and Biological Sciences 7 11%
Biochemistry, Genetics and Molecular Biology 6 10%
Nursing and Health Professions 1 2%
Other 5 8%
Unknown 10 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 July 2017.
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Outputs from Arthritis Research & Therapy
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