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1.
Pathog Dis ; 71(1): 55-64, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24376092

ABSTRACT

Anaplasma phagocytophilum, an obligate intracellular bacterium, modifies functions of its in vivo host, the neutrophil. The challenges of using neutrophils ex vivo necessitate cell line models. However, cell line infections do not currently mimic ex vivo neutrophil infection characteristics. To understand these discrepancies, we compared infection of cell lines to ex vivo human neutrophils and differentiated hematopoietic stem cells with regard to infection capacity, oxidative burst, host defense gene expression, and differentiation. Using established methods, marked ex vivo neutrophil infection heterogeneity was observed at 24-48 h necessitating cell sorting to obtain homogeneously infected cells at levels observed in vivo. Moreover, gene expression of infected cell lines differed markedly from the prior standard of unsorted infected neutrophils. Differentiated HL-60 cells sustained similar infection levels to neutrophils in vivo and closely mimicked functional and transcriptional changes of sorted infected neutrophils. Thus, care must be exercised using ex vivo neutrophils for A. phagocytophilum infection studies because a major determinant of transcriptional and functional changes among all cells was the intracellular bacteria quantity. Furthermore, comparisons of ex vivo neutrophils and the surrogate HL-60 cell model allowed the determination that specific cellular functions and transcriptional programs are targeted by the bacterium without significantly modifying differentiation.


Subject(s)
Anaplasma phagocytophilum/growth & development , Granulocytes/microbiology , Models, Theoretical , Cells, Cultured , Gene Expression Profiling , Host-Pathogen Interactions , Humans
2.
J Clin Microbiol ; 51(9): 2931-8, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23804387

ABSTRACT

Molecular diagnosis of malaria offers many potential advantages over microscopy, including identification of malaria to the species level in an era with few experienced microscopists. We developed high-throughput multiplex 5' nuclease quantitative PCR (qPCR) assays, with the potential to support large studies, to specifically identify Plasmodium falciparum, P. vivax, P. ovale, P. malariae, and P. knowlesi. We compared qPCR to microscopy and confirmed discordant results with an alternative target PCR assay. The assays specifically detected 1 to 6 parasites/µl of blood. The clinical sensitivities (95% confidence intervals [CIs]) of the 4-plex assay to detect microscopically confirmed malaria were 95.8% (88.3 to 99.1%) for P. falciparum, 89.5% (75.2 to 97.1%) for P. vivax, 94.1% (71.3 to 99.9%) for P. ovale, and 100% (66.4 to 100%) for P. malariae. The specificities (95% CIs) were 98.6% (92.4 to 100%) for P. falciparum, 99% (84.8 to 100%) for P. vivax, 98.4% (94.4 to 99.8%) for P. ovale, and 99.3% (95.9 to 100%) for P. malariae. The clinical specificity for samples without malaria was 100%. The clinical sensitivity of the 5-plex assay for confirmed P. knowlesi malaria was 100% (95% CI, 69.2 to 100%), and the clinical specificity was 100% (95% CI, 87.2 to 100%). Coded retesting and testing with an alternative target PCR assay showed improved sensitivity and specificity of multiplex qPCR versus microscopy. Additionally, 91.7% (11/12) of the samples with uncertain species by microscopy were identified to the species level identically by both our multiplex qPCR assay and the alternative target PCR assay, including 9 P. falciparum infections. Multiplex qPCR can rapidly and simultaneously identify all 5 Plasmodium species known to cause malaria in humans, and it offers an alternative or adjunct to microscopy for clinical diagnosis as well as a needed high-throughput tool for research.


Subject(s)
Malaria/diagnosis , Malaria/parasitology , Molecular Diagnostic Techniques/methods , Multiplex Polymerase Chain Reaction/methods , Plasmodium/classification , Plasmodium/isolation & purification , Real-Time Polymerase Chain Reaction/methods , Cohort Studies , Humans , Malaria/epidemiology , Molecular Epidemiology/methods , Plasmodium/genetics , Sensitivity and Specificity , Time Factors
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