Detection and differentiation of Cryptosporidium by real-time polymerase chain reaction in stool samples from patients in Rio de Janeiro, Brazil
Mem. Inst. Oswaldo Cruz
;
107(4): 476-479, June 2012.
Article
in English
| LILACS
| ID: lil-626440
ABSTRACT
This study reports the first genetic characterisation of Cryptosporidium isolates in Brazil using real-time polymerase chain reaction (RT-PCR). A total of 1,197 faecal specimens from children and 10 specimens from human immunodeficiency virus-infected patients were collected between 1999-2010 and screened using microscopy. Forty-eight Cryptosporidium oocyst-positive isolates were identified and analysed using a generic TaqMan assay targeting the 18S rRNA to detect Cryptosporidium species and two other TaqMan assays to identify Cryptosporidium hominis and Cryptosporidium parvum. The 18S rRNA assay detected Cryptosporidium species in all 48 of the stool specimens. The C. parvum TaqMan assay correctly identified five/48 stool samples, while 37/48 stool specimens were correctly amplified in the C. hominis TaqMan assay. The results obtained in this study support previous findings showing that C. hominis infections are more prevalent than C. parvum infections in Brazil and they demonstrate that the TaqMan RT-PCR procedure is a simple, fast and valuable tool for the detection and differentiation of Cryptosporidium species.
Full text:
Available
Index:
LILACS (Americas)
Main subject:
AIDS-Related Opportunistic Infections
/
Cryptosporidiosis
/
Cryptosporidium
/
Feces
Type of study:
Diagnostic study
/
Prevalence study
/
Prognostic study
/
Risk factors
Limits:
Child
/
Humans
Country/Region as subject:
South America
/
Brazil
Language:
English
Journal:
Mem. Inst. Oswaldo Cruz
Journal subject:
Tropical Medicine
/
Parasitology
Year:
2012
Type:
Article
Affiliation country:
Brazil
/
United States
Institution/Affiliation country:
Centers for Disease Control and Prevention/US
/
Fiocruz/BR
/
Universidade Federal Fluminense/BR
/
Universidade Federal do Rio de Janeiro/BR
/
Universidade do Estado do Rio de Janeiro/BR
Similar
MEDLINE
...
LILACS
LIS