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Heterogeneity in Asthma

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

Table of Contents

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    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 16: Functional proteomics for the characterization of impaired cellular responses to glucocorticoids in asthma.
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Chapter title
Functional proteomics for the characterization of impaired cellular responses to glucocorticoids in asthma.
Chapter number 16
Book title
Heterogeneity in Asthma
Published in
Advances in experimental medicine and biology, October 2013
DOI 10.1007/978-1-4614-8603-9_16
Pubmed ID
Book ISBNs
978-1-4614-8602-2, 978-1-4614-8603-9
Authors

Pazdrak K, Kurosky A, Konrad Pazdrak, Alexander Kurosky, Pazdrak, Konrad, Kurosky, Alexander

Abstract

In chronic airway inflammatory disorders, such as asthma, glucocorticoid (GC) insensitivity is a challenging clinical problem associated with life-threatening disease progression and the potential development of serious side effects. The mechanism of steroid resistance in asthma remains unclear and may be multifactorial. Excluding noncompliance with GC treatment, abnormal steroid pharmacokinetics, and rare genetic defects in the glucocorticoid receptor (GR), the majority of GC insensitivity in asthma can be attributed to secondary defects related to GR function. Airway inflammatory cells obtained from patients with GC-resistant asthma show a number of abnormalities in cell immune responses to GC, which suggests that there is a causative defect in GR signaling in GC-resistant cells that could be further elucidated by a functional and molecular proteomics approach. Since T cells, eosinophils, and monocytes play a major role in the pathogenesis of airway inflammation, most of the work published to date has focused on these cell types as the primary therapeutic targets in GC-insensitive asthma. We herein review several distinct techniques for the assessment of (1) the cellular response to GCs including the effect of GCs on cell viability, adhesion, and mediator release; (2) the functionality of GC receptors, including phosphorylation of the GR, nuclear translocation, and binding activities; and (3) the characterization of proteins differentially expressed in steroid-resistant cells by comparative 2DE-gel electrophoresis-based techniques and mass spectrometry. These comprehensive approaches are expected to reveal novel candidates for biomarkers of steroid insensitivity, which may lead to the development of effective therapeutic interventions for patients with chronic steroid-resistant asthma.

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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 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 %
Professor > Associate Professor 5 24%
Researcher 4 19%
Student > Bachelor 3 14%
Student > Ph. D. Student 2 10%
Other 2 10%
Other 2 10%
Unknown 3 14%
Readers by discipline Count As %
Medicine and Dentistry 11 52%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Agricultural and Biological Sciences 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Business, Management and Accounting 1 5%
Other 0 0%
Unknown 4 19%
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
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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.