Candida species are reported to be one of the major pathogens in serious infectious problems in the surgical treatment of cancer patients. Candidemia is diagnosed by blood culture, β-D-glucan, and Candida antigen assay in Japan. However, these methods are not satisfied in the view points of confidence and quickness. The polymerase chain reaction (PCR) has been applied to diagnose fungal infections.
Candida-specific PCR was developed to detect fungi, especially medically important
Candida sp., and proved to be clinically more reliable than conventional methods. However
Candida-specific PCR provided only nonquantitative results and it was difficult to diagnose fungemia more precisely. Therefore, the present syudy was designed to investigate the real-time quantitative PCR for diagnosis and qantitative analysis of candidiasis. The
Candida albicans-secreted aspartic proteinase (SAP) gene was used as the specific primer pair of in quantitative PCR. A specific fluorogenic probe was designed between the sequence of the specific primer pair of SAP genes. Real-time detection of the specific fluorescent signal in each PCR cycle indicated an essential information to quantify the number of
C. albicans. This method was evaluated using human whole blood mixed with different numbers of
C.albicans isolates. Almost no difference was seen between measured numbers analyzed within 4.5 hours and actual numbers. Furthermore, the present syudy was designed to investigate the nested PCR for identification of clinically important
C.albicans,
Candida tropicalis, Candida parapsilosis, Candida glabrata and
Candida krusei, and it was successfully established in candidemia. Each specific nested primer pair was designed to identify individual fungi, between the sequence of the specific primer pair of the first PCR for the V 4 region of the 18 S ribosomal RNA gene of
Candida sp. Our quantitative determination of
C. albicans using real-time PCR and identification of
Candida sp. by nested PCR were confirmed to be applicable to fungemia and able to diagnose easily and sensitively quantify
C. albicans or identify
Candida sp. from blood in a short time.
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