Evaluation of a digital microfluidic real-time PCR platform to detect DNA of Candida albicans in blood.
Journal Article (Journal Article)
Species of Candida frequently cause life-threatening infections in neonates, transplant and intensive care unit (ICU) patients, and others with compromised host defenses. The successful management of systemic candidiasis depends upon early, rapid diagnosis. Blood cultures are the standard diagnostic method, but identification requires days and less than half of the patients are positive. These limitations may be eliminated by using real-time polymerase chain reaction (PCR) to detect Candida DNA in the blood specimens of patients at risk. Here, we optimized a PCR protocol to detect 5-10 yeasts in low volumes of simulated and clinical specimens. We also used a mouse model of systemic candidiasis and determined that candidemia is optimally detectable during the first few days after infection. However, PCR tests are often costly, labor-intensive, and inconvenient for routine use. To address these obstacles, we evaluated the innovative microfluidic real-time PCR platform (Advanced Liquid Logic, Inc.), which has the potential for full automation and rapid turnaround. Eleven and nine of 16 specimens from individual patients with culture-proven candidemia tested positive for C. albicans DNA by conventional and microfluidic real-time PCR, respectively, for a combined sensitivity of 94%. The microfluidic platform offers a significant technical advance in the detection of microbial DNA in clinical specimens.
Full Text
- Published version (via Digital Object Identifier)
- Pubmed Central version
- Open Access Copy from Duke
- Link to Item
Duke Authors
- Alexander, Barbara Dudley
- Benjamin Jr., Daniel Kelly
- Johnson, Melissa DePaoli
- Mitchell, Thomas Greenfield
- Perfect, John Robert
- Schell, Wiley Alexander
- Smith, Phillip Brian
Cited Authors
- Schell, WA; Benton, JL; Smith, PB; Poore, M; Rouse, JL; Boles, DJ; Johnson, MD; Alexander, BD; Pamula, VK; Eckhardt, AE; Pollack, MG; Benjamin, DK; Perfect, JR; Mitchell, TG
Published Date
- September 2012
Published In
Volume / Issue
- 31 / 9
Start / End Page
- 2237 - 2245
PubMed ID
- 22327343
Pubmed Central ID
- PMC3939829
Electronic International Standard Serial Number (EISSN)
- 1435-4373
Digital Object Identifier (DOI)
- 10.1007/s10096-012-1561-6
Language
- eng
Conference Location
- Germany