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T Follicular Helper-Like Cells in Inflamed Non-Lymphoid Tissues

Overview of attention for article published in Frontiers in immunology, July 2018
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
T Follicular Helper-Like Cells in Inflamed Non-Lymphoid Tissues
Published in
Frontiers in immunology, July 2018
DOI 10.3389/fimmu.2018.01707
Pubmed ID
Authors

Andreas Hutloff

Abstract

T and B cell cooperation normally takes place in secondary lymphoid organs (SLO). However, both cell types are also frequently found in inflamed non-lymphoid tissues. Under certain conditions, these infiltrates develop into ectopic lymphoid structures, also known as tertiary lymphoid tissues, which structurally and functionally fully resemble germinal centers (GCs) in SLO. However, tertiary lymphoid tissue is uncommon in most human autoimmune conditions; instead, relatively unstructured T and B cell infiltrates are found. Recent studies have demonstrated that active T and B cell cooperation can also take place in such unstructured aggregates. The infiltrating cells contain a population of T follicular helper (Tfh)-like cells (also designated "peripheral T helper cells") lacking prototypic Tfh markers like CXCR5 and Bcl-6 but nevertheless expressing high levels of molecules important for B cell help like IL-21 and CD40L. Moreover, Tfh-like cells isolated from inflamed tissues can drive the differentiation of B cells into antibody-secreting cells in vitro. These findings are not restricted to experimental animal models but have been reproduced in rheumatoid arthritis and breast cancer patients. At this point, it is unclear whether T and B cell cooperation outside the ordered structure of the GC fully mirrors the reactions in SLO. However, Tfh-like cells in inflamed tissues are certainly important for the local differentiation of B cells into antibody-secreting cells, and should be considered as an important target for the treatment of autoimmune diseases.

X Demographics

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 20%
Student > Ph. D. Student 12 18%
Student > Master 8 12%
Student > Bachelor 6 9%
Student > Postgraduate 5 8%
Other 8 12%
Unknown 14 21%
Readers by discipline Count As %
Immunology and Microbiology 18 27%
Medicine and Dentistry 11 17%
Biochemistry, Genetics and Molecular Biology 9 14%
Agricultural and Biological Sciences 6 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 3 5%
Unknown 17 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 September 2021.
All research outputs
#7,782,070
of 25,385,509 outputs
Outputs from Frontiers in immunology
#9,048
of 31,537 outputs
Outputs of similar age
#123,063
of 340,859 outputs
Outputs of similar age from Frontiers in immunology
#241
of 635 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th 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 70% 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 340,859 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 63% of its contemporaries.
We're also able to compare this research output to 635 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 60% of its contemporaries.