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The puzzle of immune phenotypes of childhood asthma

Overview of attention for article published in Molecular and Cellular Pediatrics, July 2016
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Title
The puzzle of immune phenotypes of childhood asthma
Published in
Molecular and Cellular Pediatrics, July 2016
DOI 10.1186/s40348-016-0057-3
Pubmed ID
Authors

Katja Landgraf-Rauf, Bettina Anselm, Bianca Schaub

Abstract

Asthma represents the most common chronic childhood disease worldwide. Whereas preschool children present with wheezing triggered by different factors (multitrigger and viral wheeze), clinical asthma manifestation in school children has previously been classified as allergic and non-allergic asthma. For both, the underlying immunological mechanisms are not yet understood in depth in children. Treatment is still prescribed regardless of underlying mechanisms, and children are not always treated successfully. This review summarizes recent key findings on the complex mechanisms of the development and manifestation of childhood asthma. Whereas traditional classification of childhood asthma is primarily based on clinical symptoms like wheezing and atopy, novel approaches to specify asthma phenotypes are under way and face challenges such as including the stability of phenotypes over time and transition into adulthood. Epidemiological studies enclose more information on the patient's disease history and environmental influences. Latest studies define endotypes based on molecular and cellular mechanisms, for example defining risk and protective single nucleotide polymorphisms (SNPs) and new immune phenotypes, showing promising results. Also, regulatory T cells and recently discovered T helper cell subtypes such as Th9 and Th17 cells were shown to be important for the development of asthma. Innate lymphoid cells (ILC) could play a critical role in asthma patients as they produce different cytokines associated with asthma. Epigenetic findings showed different acetylation and methylation patterns for children with allergic and non-allergic asthma. On a posttranscriptional level, miRNAs are regulating factors identified to differ between asthma patients and healthy controls and also indicate differences within asthma phenotypes. Metabolomics is another exciting chapter important for endotyping asthmatic children. Despite the development of new biomarkers and the discovery of new immunological molecules, the complex puzzle of childhood asthma is still far from being completed. Addressing the current challenges of distinct clinical asthma and wheeze phenotypes, including their stability and underlying endotypes, involves addressing the interplay of innate and adaptive immune regulatory mechanisms in large, interdisciplinary cohorts.

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Mendeley readers

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The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Student > Doctoral Student 8 20%
Student > Master 5 13%
Student > Bachelor 4 10%
Professor 4 10%
Other 4 10%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 14 35%
Biochemistry, Genetics and Molecular Biology 5 13%
Immunology and Microbiology 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Agricultural and Biological Sciences 2 5%
Other 3 8%
Unknown 10 25%
Attention Score in Context

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 30 July 2016.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Molecular and Cellular Pediatrics
#61
of 113 outputs
Outputs of similar age
#251,380
of 380,139 outputs
Outputs of similar age from Molecular and Cellular Pediatrics
#4
of 6 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 113 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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