Title |
Validation and clinical application of a molecular method for the identification of Cryptococcus neoformans/Cryptococcus gattii complex DNA in human clinical specimens
|
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Published in |
Brazilian Journal of Infectious Diseases, September 2015
|
DOI | 10.1016/j.bjid.2015.07.006 |
Pubmed ID | |
Authors |
Vanessa Rivera, Marcela Gaviria, Cesar Muñoz-Cadavid, Luz Cano, Tonny Naranjo |
Abstract |
The diagnosis of cryptococcosis is usually performed based on cultures of tissue or body fluids and isolation of the fungus, but this method may require several days. Direct microscopic examination, although rapid, is relatively insensitive. Biochemical and immunodiagnostic rapid tests are also used. However, all of these methods have limitations that may hinder final diagnosis. The increasing incidence of fungal infections has focused attention on tools for rapid and accurate diagnosis using molecular biological techniques. Currently, PCR-based methods, particularly nested, multiplex and real-time PCR, provide both high sensitivity and specificity. In the present study, we evaluated a nested PCR targeting the gene encoding the ITS-1 and ITS-2 regions of rDNA in samples from a cohort of patients diagnosed with cryptococcosis. The results showed that in our hands, this Cryptococcus nested PCR assay has 100% specificity and 100% sensitivity and was able to detect until 2 femtograms of Cryptococcus DNA. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 24% |
Student > Bachelor | 8 | 18% |
Student > Ph. D. Student | 5 | 11% |
Researcher | 4 | 9% |
Lecturer > Senior Lecturer | 2 | 4% |
Other | 4 | 9% |
Unknown | 11 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 24% |
Agricultural and Biological Sciences | 8 | 18% |
Biochemistry, Genetics and Molecular Biology | 6 | 13% |
Immunology and Microbiology | 3 | 7% |
Veterinary Science and Veterinary Medicine | 2 | 4% |
Other | 3 | 7% |
Unknown | 12 | 27% |