↓ Skip to main content

Heterogeneity in Asthma

Overview of attention for book
Cover of 'Heterogeneity in Asthma'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to asthma and phenotyping.
  3. Altmetric Badge
    Chapter 2 Epidemiology of asthma: prevalence and burden of disease.
  4. Altmetric Badge
    Chapter 3 Heterogeneity of asthma in society.
  5. Altmetric Badge
    Chapter 4 Inhaled environmental allergens and toxicants as determinants of the asthma phenotype.
  6. Altmetric Badge
    Chapter 5 Current clinical diagnostic tests for asthma.
  7. Altmetric Badge
    Chapter 6 Management of Asthma: The Current US and European Guidelines.
  8. Altmetric Badge
    Chapter 7 Community-based interventions in asthma.
  9. Altmetric Badge
    Chapter 8 Heterogeneity of response to therapy.
  10. Altmetric Badge
    Chapter 9 Introduction to genetics and genomics in asthma: genetics of asthma.
  11. Altmetric Badge
    Chapter 10 Gene expression profiling in asthma.
  12. Altmetric Badge
    Chapter 11 Asthma epigenetics.
  13. Altmetric Badge
    Chapter 12 Overview.
  14. Altmetric Badge
    Chapter 13 Metabolomics in Asthma
  15. Altmetric Badge
    Chapter 14 Proteomic Analysis of the Asthmatic Airway
  16. Altmetric Badge
    Chapter 15 Measurement of the innate immune response in the airway.
  17. Altmetric Badge
    Chapter 16 Functional proteomics for the characterization of impaired cellular responses to glucocorticoids in asthma.
  18. Altmetric Badge
    Chapter 17 Analysis and Predictive Modeling of Asthma Phenotypes
  19. Altmetric Badge
    Chapter 18 The Role of Visual Analytics in Asthma Phenotyping and Biomarker Discovery
  20. Altmetric Badge
    Chapter 19 Central nervous system influences in asthma.
  21. Altmetric Badge
    Chapter 20 Asthma, culture, and cultural analysis: continuing challenges.
  22. Altmetric Badge
    Chapter 21 Conclusions and future directions.
Attention for Chapter 15: Measurement of the innate immune response in the airway.
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
14 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Measurement of the innate immune response in the airway.
Chapter number 15
Book title
Heterogeneity in Asthma
Published in
Advances in experimental medicine and biology, October 2013
DOI 10.1007/978-1-4614-8603-9_15
Pubmed ID
Book ISBNs
978-1-4614-8602-2, 978-1-4614-8603-9
Authors

Brasier AR, Zhao Y, Allan R. Brasier, Yingxin Zhao, Brasier, Allan R., Zhao, Yingxin

Abstract

Asthma is an idiopathic disease associated with episodic inflammation and reversible airway obstruction that is triggered by environmental agents. Allergic and infectious agents trigger asthmatic exacerbations through the innate immune response (IIR). The IIR is activated by sentinel cells in the airways to elaborate inflammatory cytokines and protective mucosal interferons whose actions are designed to limit the spread of the organism, as well as to activate the adaptive immune response. We address the structure of the IIR pathway in sentinel cells of the airway and describe observations on its dysregulation. The IIR is triggered in a cell-type specific manner by germline-encoded pathogen recognition receptors (PPRs) including plasma membrane Toll-like receptors (TLRs) and the cytoplasmic Retinoic Acid-inducible Gene (RIG)-I-like RNA helicases, and protein kinase R (PKR). Although their mechanisms of intracellular signaling differ, both pathways converge on a small group of transcriptional effectors, nuclear factor-κB (NF-κB), IFN regulatory factor (IRF), and signal transducer and activator of transcription (STAT). We describe several distinct techniques to quantitate the IIR including assays based on quantitative real-time PCR (Q-RT-PCR) of NF-κB and IRF3-regulated genes, multiplex bead-based analysis of secreted proteins/cytokines and more recent developments in targeted, quantitative selected reaction monitoring (SRM)-mass spectrometry (MS). Application of these methods for quantitation of the IIR will further our understanding of the role of the IIR in asthma and its contribution to disease heterogeneity.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Researcher 2 14%
Student > Master 2 14%
Professor > Associate Professor 2 14%
Student > Doctoral Student 1 7%
Other 1 7%
Unknown 2 14%
Readers by discipline Count As %
Medicine and Dentistry 6 43%
Agricultural and Biological Sciences 3 21%
Engineering 1 7%
Unknown 4 29%
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 May 2014.
All research outputs
#15,301,167
of 22,756,196 outputs
Outputs from Advances in experimental medicine and biology
#2,495
of 4,926 outputs
Outputs of similar age
#130,764
of 212,707 outputs
Outputs of similar age from Advances in experimental medicine and biology
#18
of 45 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,926 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 37th percentile – i.e., 37% 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 212,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.