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Mass Cytometry Identifies Distinct Lung CD4+ T Cell Patterns in Löfgren’s Syndrome and Non-Löfgren’s Syndrome Sarcoidosis

Overview of attention for article published in Frontiers in immunology, September 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Title
Mass Cytometry Identifies Distinct Lung CD4+ T Cell Patterns in Löfgren’s Syndrome and Non-Löfgren’s Syndrome Sarcoidosis
Published in
Frontiers in immunology, September 2017
DOI 10.3389/fimmu.2017.01130
Pubmed ID
Authors

Ylva Kaiser, Tadepally Lakshmikanth, Yang Chen, Jaromir Mikes, Anders Eklund, Petter Brodin, Adnane Achour, Johan Grunewald

Abstract

Sarcoidosis is a granulomatous disorder of unknown etiology, characterized by accumulation of activated CD4(+) T cells in the lungs. Disease phenotypes Löfgren's syndrome (LS) and "non-LS" differ in terms of clinical manifestations, genetic background, HLA association, and prognosis, but the underlying inflammatory mechanisms largely remain unknown. Bronchoalveolar lavage fluid cells from four HLA-DRB1*03(+) LS and four HLA-DRB1*03(-) non-LS patients were analyzed by mass cytometry, using a panel of 33 unique markers. Differentially regulated CD4(+) T cell populations were identified using the Citrus algorithm, and t-stochastic neighborhood embedding was applied for dimensionality reduction and single-cell data visualization. We identified 19 individual CD4(+) T cell clusters differing significantly in abundance between LS and non-LS patients. Seven clusters more frequent in LS patients were characterized by significantly higher expression of regulatory receptors CTLA-4, PD-1, and ICOS, along with low expression of adhesion marker CD44. In contrast, 12 clusters primarily found in non-LS displayed elevated expression of activation and effector markers HLA-DR, CD127, CD39, as well as CD44. Hierarchical clustering further indicated functional heterogeneity and diverse origins of T cell receptor Vα2.3/Vβ22-restricted cells in LS. Finally, a near-complete overlap of CD8 and Ki-67 expression suggested larger influence of CD8(+) T cell activity on sarcoid inflammation than previously appreciated. In this study, we provide detailed characterization of pulmonary T cells and immunological parameters that define separate disease pathways in LS and non-LS. With direct association to clinical parameters, such as granuloma persistence, resolution, or chronic inflammation, these results provide a valuable foundation for further exploration and potential clinical application.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Other 6 12%
Student > Ph. D. Student 6 12%
Student > Master 4 8%
Student > Bachelor 3 6%
Other 10 20%
Unknown 12 24%
Readers by discipline Count As %
Medicine and Dentistry 15 30%
Immunology and Microbiology 8 16%
Biochemistry, Genetics and Molecular Biology 4 8%
Agricultural and Biological Sciences 3 6%
Computer Science 3 6%
Other 4 8%
Unknown 13 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 November 2017.
All research outputs
#3,081,997
of 25,382,440 outputs
Outputs from Frontiers in immunology
#3,231
of 31,537 outputs
Outputs of similar age
#54,421
of 323,484 outputs
Outputs of similar age from Frontiers in immunology
#56
of 492 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 done well, scoring higher than 89% 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 323,484 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 492 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.