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Human Fungal Pathogen Identification

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Cover of 'Human Fungal Pathogen Identification'

Table of Contents

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    Book Overview
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    Chapter 1 Current Challenges in the Diagnosis of Fungal Infections.
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    Chapter 2 Human Fungal Pathogen Identification
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    Chapter 3 Current Algorithms in Fungal Diagnosis in the Immunocompromised Host.
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    Chapter 4 Commercial Molecular Tests for Fungal Diagnosis from a Practical Point of View.
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    Chapter 5 Systemic Antifungal Agents: Current Status and Projected Future Developments.
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    Chapter 6 Fungal-Grade Reagents and Materials for Molecular Analysis.
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    Chapter 7 Host-Derived Biomarkers for Risk Assessment of Invasive Fungal Diseases.
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    Chapter 8 Assessment of Immune Responses to Fungal Infections: Identification and Characterization of Immune Cells in the Infected Tissue.
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    Chapter 9 Histopathology.
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    Chapter 10 Culture-Based Techniques.
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    Chapter 11 Serological Approaches.
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    Chapter 12 Isolation of Nucleic Acids for Fungal Diagnosis.
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    Chapter 13 Prerequisites for Control of Contamination in Fungal Diagnosis.
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    Chapter 14 Broad-Spectrum Molecular Detection of Fungal Nucleic Acids by PCR-Based Amplification Techniques.
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    Chapter 15 Genus- and Species-Specific PCR Detection Methods.
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    Chapter 16 Identification of Fungal Pathogens in Tissue Samples from Patients with Proven Invasive Infection by Fluorescence In Situ Hybridization.
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    Chapter 17 Nuclear Magnetic Resonance Spectroscopy-Based Identification of Yeast.
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    Chapter 18 T2 Magnetic Resonance for Fungal Diagnosis.
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    Chapter 19 Fungal Species Identification by MALDI-ToF Mass Spectrometry.
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    Chapter 20 Immunological Identification of Fungal Species.
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    Chapter 21 Human Fungal Pathogen Identification
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    Chapter 22 Microarray Technologies in Fungal Diagnostics.
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    Chapter 23 Molecular Detection of Resistance to Echinocandins.
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    Chapter 24 Molecular Detection of Resistance to Azole Components.
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    Chapter 25 Immune Cell-Supplemented Human Skin Model for Studying Fungal Infections.
Attention for Chapter 3: Current Algorithms in Fungal Diagnosis in the Immunocompromised Host.
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Chapter title
Current Algorithms in Fungal Diagnosis in the Immunocompromised Host.
Chapter number 3
Book title
Human Fungal Pathogen Identification
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6515-1_3
Pubmed ID
Book ISBNs
978-1-4939-6513-7, 978-1-4939-6515-1
Authors

Thomas Lehrnbecher M.D., Karsten Becker, Andreas H. Groll, Thomas Lehrnbecher

Editors

Thomas Lion

Abstract

Invasive fungal diseases (IFDs) are a major cause of morbidity and mortality in immunocompromised patients such as patients with hematological malignancies or allogeneic hematopoietic stem cell transplant recipients. Whereas the definite diagnosis of IFD requires invasive diagnostic procedures, imaging and noninvasive diagnostic assays may help in decision making with regard to the institution and the choice of antifungal agents, the duration of therapy, surgical intervention, and monitoring of fungal manifestations.Unfortunately, signs and symptoms of IFD are often nonspecific in the immunocompromised patient. Therefore, in immunocompromised patients with suspected IFD, all samples collected need to be cultured for fungi, and, in the case of specimens obtained by invasive diagnostic procedures, also microscopically examined. For high sensitivity of the cultural and microscopic approaches, specific media and stains, respectively, are crucial. Non-culture based method such as the detection of galactomannan or ß-d-glucan and molecular tools such as polymerase chain reaction may help in the early diagnosis of IFD. Imaging studies may be indicative for IFD, but invasive diagnostics such as bronchoalveolar lavage and/or biopsy should be pursued in order to identify the causative pathogen. This chapter summarizes the current knowledge on diagnosing IFD and proposes practical help in the use of diagnostic tools.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 15%
Student > Master 2 10%
Student > Postgraduate 2 10%
Researcher 2 10%
Professor 1 5%
Other 3 15%
Unknown 7 35%
Readers by discipline Count As %
Medicine and Dentistry 7 35%
Immunology and Microbiology 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Nursing and Health Professions 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 7 35%