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