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HLA-G Haplotypes Are Differentially Associated with Asthmatic Features

Overview of attention for article published in Frontiers in immunology, February 2018
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Title
HLA-G Haplotypes Are Differentially Associated with Asthmatic Features
Published in
Frontiers in immunology, February 2018
DOI 10.3389/fimmu.2018.00278
Pubmed ID
Authors

Camille Ribeyre, Federico Carlini, Céline René, François Jordier, Christophe Picard, Jacques Chiaroni, Laurent Abi-Rached, Philippe Gouret, Grégory Marin, Nicolas Molinari, Pascal Chanez, Julien Paganini, Delphine Gras, Julie Di Cristofaro

Abstract

Human leukocyte antigen (HLA)-G, a HLA class Ib molecule, interacts with receptors on lymphocytes such as T cells, B cells, and natural killer cells to influence immune responses. Unlike classical HLA molecules, HLA-G expression is not found on all somatic cells, but restricted to tissue sites, including human bronchial epithelium cells (HBEC). Individual variation in HLA-G expression is linked to its genetic polymorphism and has been associated with many pathological situations such as asthma, which is characterized by epithelium abnormalities and inflammatory cell activation. Studies reported both higher and equivalent soluble HLA-G (sHLA-G) expression in different cohorts of asthmatic patients. In particular, we recently described impaired local expression of HLA-G and abnormal profiles for alternatively spliced isoforms in HBEC from asthmatic patients. sHLA-G dosage is challenging because of its many levels of polymorphism (dimerization, association with β2-microglobulin, and alternative splicing), thus many clinical studies focused onHLA-Gsingle-nucleotide polymorphisms as predictive biomarkers, but few analyzedHLA-Ghaplotypes. Here, we aimed to characterizeHLA-Ghaplotypes and describe their association with asthmatic clinical features and sHLA-G peripheral expression and to describe variations in transcription factor (TF) binding sites and alternative splicing sites.HLA-Ghaplotypes were differentially distributed in 330 healthy and 580 asthmatic individuals. Furthermore,HLA-Ghaplotypes were associated with asthmatic clinical features showed. However, we did not confirm an association between sHLA-G and genetic, biological, or clinical parameters.HLA-Ghaplotypes were phylogenetically split into distinct groups, with each group displaying particular variations in TF binding or RNA splicing sites that could reflect differential HLA-G qualitative or quantitative expression, with tissue-dependent specificities. Our results, based on a multicenter cohort, thus support the pertinence ofHLA-Ghaplotypes as predictive genetic markers for asthma.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 24%
Professor 2 10%
Student > Master 2 10%
Other 1 5%
Librarian 1 5%
Other 1 5%
Unknown 9 43%
Readers by discipline Count As %
Medicine and Dentistry 4 19%
Biochemistry, Genetics and Molecular Biology 3 14%
Business, Management and Accounting 1 5%
Engineering 1 5%
Unknown 12 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 April 2018.
All research outputs
#16,053,755
of 25,382,440 outputs
Outputs from Frontiers in immunology
#16,721
of 31,537 outputs
Outputs of similar age
#199,192
of 343,867 outputs
Outputs of similar age from Frontiers in immunology
#442
of 688 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
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 is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 343,867 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 688 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.