↓ Skip to main content

Human Fungal Pathogen Identification

Overview of attention for book
Cover of 'Human Fungal Pathogen Identification'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Current Challenges in the Diagnosis of Fungal Infections.
  3. Altmetric Badge
    Chapter 2 Human Fungal Pathogen Identification
  4. Altmetric Badge
    Chapter 3 Current Algorithms in Fungal Diagnosis in the Immunocompromised Host.
  5. Altmetric Badge
    Chapter 4 Commercial Molecular Tests for Fungal Diagnosis from a Practical Point of View.
  6. Altmetric Badge
    Chapter 5 Systemic Antifungal Agents: Current Status and Projected Future Developments.
  7. Altmetric Badge
    Chapter 6 Fungal-Grade Reagents and Materials for Molecular Analysis.
  8. Altmetric Badge
    Chapter 7 Host-Derived Biomarkers for Risk Assessment of Invasive Fungal Diseases.
  9. Altmetric Badge
    Chapter 8 Assessment of Immune Responses to Fungal Infections: Identification and Characterization of Immune Cells in the Infected Tissue.
  10. Altmetric Badge
    Chapter 9 Histopathology.
  11. Altmetric Badge
    Chapter 10 Culture-Based Techniques.
  12. Altmetric Badge
    Chapter 11 Serological Approaches.
  13. Altmetric Badge
    Chapter 12 Isolation of Nucleic Acids for Fungal Diagnosis.
  14. Altmetric Badge
    Chapter 13 Prerequisites for Control of Contamination in Fungal Diagnosis.
  15. Altmetric Badge
    Chapter 14 Broad-Spectrum Molecular Detection of Fungal Nucleic Acids by PCR-Based Amplification Techniques.
  16. Altmetric Badge
    Chapter 15 Genus- and Species-Specific PCR Detection Methods.
  17. Altmetric Badge
    Chapter 16 Identification of Fungal Pathogens in Tissue Samples from Patients with Proven Invasive Infection by Fluorescence In Situ Hybridization.
  18. Altmetric Badge
    Chapter 17 Nuclear Magnetic Resonance Spectroscopy-Based Identification of Yeast.
  19. Altmetric Badge
    Chapter 18 T2 Magnetic Resonance for Fungal Diagnosis.
  20. Altmetric Badge
    Chapter 19 Fungal Species Identification by MALDI-ToF Mass Spectrometry.
  21. Altmetric Badge
    Chapter 20 Immunological Identification of Fungal Species.
  22. Altmetric Badge
    Chapter 21 Human Fungal Pathogen Identification
  23. Altmetric Badge
    Chapter 22 Microarray Technologies in Fungal Diagnostics.
  24. Altmetric Badge
    Chapter 23 Molecular Detection of Resistance to Echinocandins.
  25. Altmetric Badge
    Chapter 24 Molecular Detection of Resistance to Azole Components.
  26. Altmetric Badge
    Chapter 25 Immune Cell-Supplemented Human Skin Model for Studying Fungal Infections.
Attention for Chapter 7: Host-Derived Biomarkers for Risk Assessment of Invasive Fungal Diseases.
Altmetric Badge

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
4 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
Host-Derived Biomarkers for Risk Assessment of Invasive Fungal Diseases.
Chapter number 7
Book title
Human Fungal Pathogen Identification
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6515-1_7
Pubmed ID
Book ISBNs
978-1-4939-6513-7, 978-1-4939-6515-1
Authors

Cristina Cunha, Samuel M. Gonçalves, Agostinho Carvalho Ph.D., Agostinho Carvalho

Editors

Thomas Lion

Abstract

Invasive fungal diseases are major complications associated with the treatment of hematologic malignancies. The integration of host-derived biomarkers into clinical processes to predict the risk and progression of fungal disease is a promising approach in immunocompromised patients. Recent insights into human antifungal immunity have highlighted the remarkable influence of host genetics in modulating susceptibility to infection. In this chapter, we describe protocols to examine human genetic variation and to assess its functional consequences using the pattern recognition receptor PTX3 as an example.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Student > Ph. D. Student 1 25%
Professor 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Medicine and Dentistry 2 50%