| Title |
Molecular Genotyping of Candida parapsilosis Species Complex
|
|---|---|
| Published in |
Mycopathologia, July 2018
|
| DOI | 10.1007/s11046-018-0278-1 |
| Pubmed ID | |
| Authors |
Sourour Neji, Ines Hadrich, Amine Ilahi, Houaida Trabelsi, Hedi Chelly, Nadia Mahfoudh, Fatma Cheikhrouhou, Hayet Sellami, Fattouma Makni, Ali Ayadi |
| Abstract |
The Candida parapsilosis complex species has emerged as an important cause of human disease. The molecular identification of C. parapsilosis isolates at the species level can be helpful for epidemiological studies and then for the establishment of appropriate therapies and prophylactic measures. The present study was undertaken to analyze 13 short tandem repeat (STR) markers (7 minisatellites and 6 microsatellites) in a global set of 182 C. parapsilosis complex isolates from different origins including invasive and superficial clinical sites. Upon the analysis of 182 strains of C. parapsilosis complex species, 10-17 haplotypes were detected for each minisatellite marker. The combination of 7 minisatellite markers yielded 121 different genotypes with a 0.995 D value. Upon the analysis of 114 isolates (68 from invasive infections and 46 from superficial infections), 21-32 genotypes were detected for each microsatellite marker. The combination of all 13 markers yielded 96 different genotypes among 114 isolates with a high degree of discrimination (0.997 D value). The same multilocus genotype was shared by isolates recovered from some patients and from the hand of theirs correspondent healthcare worker. For another patient, the same multilocus genotype of C. metapsilosis was detected in blood and skin confirming that candidemia usually arises as an endogenous infection following prior colonization. These STR markers are a valuable tool for the differentiation of C. parapsilosis complex strains, to support epidemiological investigations especially studies of strain relatedness and pathways of transmission. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 19% |
| Researcher | 3 | 12% |
| Student > Doctoral Student | 3 | 12% |
| Student > Postgraduate | 2 | 8% |
| Lecturer | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 19% |
| Immunology and Microbiology | 3 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Engineering | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 9 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 March 2019.
All research outputs
#17,982,872
of 23,094,276 outputs
Outputs from Mycopathologia
#750
of 1,080 outputs
Outputs of similar age
#236,065
of 326,767 outputs
Outputs of similar age from Mycopathologia
#5
of 10 outputs
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