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Plasma Cell Differentiation Pathways in Systemic Lupus Erythematosus

Overview of attention for article published in Frontiers in immunology, March 2018
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Title
Plasma Cell Differentiation Pathways in Systemic Lupus Erythematosus
Published in
Frontiers in immunology, March 2018
DOI 10.3389/fimmu.2018.00427
Pubmed ID
Authors

Susan Malkiel, Ashley N. Barlev, Yemil Atisha-Fregoso, Jolien Suurmond, Betty Diamond

Abstract

Plasma cells (PCs) are responsible for the production of protective antibodies against infectious agents but they also produce pathogenic antibodies in autoimmune diseases, such as systemic lupus erythematosus (SLE). Traditionally, high affinity IgG autoantibodies are thought to arise through germinal center (GC) responses. However, class switching and somatic hypermutation can occur in extrafollicular (EF) locations, and this pathway has also been implicated in SLE. The pathway from which PCs originate may determine several characteristics, such as PC lifespan and sensitivity to therapeutics. Although both GC and EF responses have been implicated in SLE, we hypothesize that one of these pathways dominates in each individual patient and genetic risk factors may drive this predominance. While it will be important to distinguish polymorphisms that contribute to a GC-driven or EF B cell response to develop targeted treatments, the challenge will be not only to identify the differentiation pathway but the molecular mechanisms involved. In B cells, this task is complicated by the cross-talk between the B cell receptor, toll-like receptors (TLR), and cytokine signaling molecules, which contribute to both GC and EF responses. While risk variants that affect the function of dendritic cells and T follicular helper cells are likely to primarily influence GC responses, it will be important to discover whether some risk variants in the interferon and TLR pathways preferentially influence EF responses. Identifying the pathways of autoreactive PC differentiation in SLE may help us to understand patient heterogeneity and thereby guide precision therapy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 155 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 14%
Student > Master 21 14%
Student > Bachelor 21 14%
Researcher 13 8%
Student > Doctoral Student 7 5%
Other 22 14%
Unknown 49 32%
Readers by discipline Count As %
Immunology and Microbiology 36 23%
Biochemistry, Genetics and Molecular Biology 23 15%
Medicine and Dentistry 22 14%
Agricultural and Biological Sciences 9 6%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Other 9 6%
Unknown 50 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 March 2018.
All research outputs
#7,151,813
of 25,382,440 outputs
Outputs from Frontiers in immunology
#7,985
of 31,537 outputs
Outputs of similar age
#118,381
of 347,366 outputs
Outputs of similar age from Frontiers in immunology
#254
of 697 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 31,537 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 347,366 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 697 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.