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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.
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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 2: Human Fungal Pathogen Identification
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Chapter title
Human Fungal Pathogen Identification
Chapter number 2
Book title
Human Fungal Pathogen Identification
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6515-1_2
Pubmed ID
Book ISBNs
978-1-4939-6513-7, 978-1-4939-6515-1
Authors

Enoch, David A, Yang, Huina, Aliyu, Sani H, Micallef, Christianne, David A. Enoch, Huina Yang, Sani H. Aliyu, Christianne Micallef, Enoch, David A., Aliyu, Sani H.

Editors

Thomas Lion

Abstract

Invasive fungal infections (IFI) are an emerging problem worldwide with invasive candidiasis and candidemia responsible for the majority of cases. This is predominantly driven by the widespread adoption of aggressive immunosuppressive therapy among certain patient populations (e.g., chemotherapy, transplants) and the increasing use of invasive devices such as central venous catheters (CVCs). The use of new immune modifying drugs has also opened up an entirely new spectrum of patients at risk of IFIs. While the epidemiology of candida infections has changed in the last decade, with a gradual shift from C. albicans to non-albicans candida (NAC) strains which may be less susceptible to azoles, these changes vary between hospitals and regions depending on the type of population risk factors and antifungal use. In certain parts of the world, the incidence of IFI is strongly linked to the prevalence of other disease conditions and the ecological niche for the organism; for instance cryptococcal and pneumocystis infections are particularly common in areas with a high prevalence of HIV disease. Poorly controlled diabetes is a major risk factor for invasive mould infections. Environmental factors and trauma also play a unique role in the epidemiology of mould infections, with well-described hospital outbreaks linked to the use of contaminated instruments and devices. Blastomycosis is associated with occupational exposure (e.g., forest rangers) and recreational activities (e.g., camping and fishing).The true burden of IFI is probably an underestimate because of the absence of reliable diagnostics and lack of universal application. For example, the sensitivity of most blood culture systems for detecting candida is typically 50 %. The advent of new technology including molecular techniques such as 18S ribosomal RNA PCR and genome sequencing is leading to an improved understanding of the epidemiology of the less common mould and dimorphic fungal infections. Molecular techniques are also providing a platform for improved diagnosis and management of IFI.Many factors affect mortality in IFI, not least the underlying medical condition, choice of therapy, and the ability to achieve early source control. For instance, mortality due to pneumocystis pneumonia in HIV-seronegative individuals is now higher than in seropositive patients. Of significant concern is the progressive increase in resistance to azoles and echinocandins among candida isolates, which appears to worsen the already significant mortality associated with invasive candidiasis. Mortality with mould infections approaches 50 % in most studies and varies depending on the site, underlying disease and the use of antifungal agents such as echinocandins and voriconazole. Nevertheless, mortality for most IFIs has generally fallen with advances in medical technology, improved care of CVCs, improved diagnostics, and more effective preemptive therapy and prophylaxis.

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X Demographics

The data shown below were collected from the profiles of 4 X users 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 366 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 365 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 43 12%
Student > Ph. D. Student 40 11%
Student > Master 40 11%
Researcher 32 9%
Other 30 8%
Other 62 17%
Unknown 119 33%
Readers by discipline Count As %
Medicine and Dentistry 74 20%
Biochemistry, Genetics and Molecular Biology 42 11%
Immunology and Microbiology 32 9%
Agricultural and Biological Sciences 22 6%
Pharmacology, Toxicology and Pharmaceutical Science 17 5%
Other 48 13%
Unknown 131 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 May 2021.
All research outputs
#15,224,950
of 25,847,449 outputs
Outputs from Methods in molecular biology
#4,075
of 14,388 outputs
Outputs of similar age
#223,277
of 424,409 outputs
Outputs of similar age from Methods in molecular biology
#337
of 1,089 outputs
Altmetric has tracked 25,847,449 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,388 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 424,409 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,089 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.