scholarly journals Droplet Digital PCR for the Detection of Plasmodium falciparum DNA in Whole Blood and Serum: A Comparative Analysis with Other Molecular Methods

Pathogens ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 478
Author(s):  
Elena Pomari ◽  
Ronaldo Silva ◽  
Lucia Moro ◽  
Giulia La Marca ◽  
Francesca Perandin ◽  
...  

Background: The estimation of Plasmodium falciparum parasitaemia can vary according to the method used. Recently, droplet digital PCR (ddPCR) has been proposed as a promising approach in the molecular quantitation of Plasmodium, but its ability to predict the actual parasitaemia on clinical samples has not been largely investigated. Moreover, the possibility of applying the ddPCR-sensitive method to serum samples has never been explored. Methods: We used, for the first time, ddPCR on both blood and serum to detect the DNA of P. falciparum in 52 paired samples from 26 patients. ddPCR was compared with loop-mediated isothermal amplification (LAMP) and rtPCR. The correlation between the ddPCR results, microscopy, and clinical parameters was examined. Results: ddPCR and microscopy were found to be strongly correlated (ρ(26) = 0.83111, p < 0.0001) in blood. Samples deviating from the correlation were partially explained by clinical parameters. In serum samples, ddPCR revealed the best performance in detecting P. falciparum DNA, with 77% positive samples among malaria subjects. Conclusion: Absolute quantitation by ddPCR can be a flexible technique for Plasmodium detection, with potential application in the diagnosis of malaria. In particular, ddPCR is a powerful approach for Plasmodium DNA analysis on serum when blood samples are unavailable.

2019 ◽  
Vol 66 (1) ◽  
pp. 229-238 ◽  
Author(s):  
Tracie Profaizer ◽  
Patricia Slev

Abstract BACKGROUND T-cell receptor excision circles (TREC) and κ-deleting recombination receptor excision circles (KREC) concentrations can be used to assess and diagnose immune deficiencies, monitor thymic and bone marrow immune reconstitution, or follow responses to drug therapy. We developed an assay to quantify TREC, KREC, and a reference gene in a single reaction using droplet digital PCR (ddPCR). METHODS PCR was optimized for 3 targets: TREC, KREC, and ribonuclease P/MRP subunit p30 (RPP30) as the reference gene. Multiplexing was accomplished by varying the target's fluorophore and concentration. Correlation with clinical results was evaluated using 47 samples from healthy donors, 59 samples with T-cell and B-cell markers within the reference interval from the flow cytometry laboratory, 20 cord blood samples, and 34 samples submitted for exome sequencing for severe combined immunodeficiency disease (SCID). RESULTS The limit of the blank was 4 positive droplets, limit of detection 9 positive droplets, and limit of quantification 25 positive droplets, or 2.0 copies/μL. TREC and KREC copies/μL were as expected in the healthy donors and cord blood samples and concordant with the healthy flow cytometry results. Of the samples from the SCID Panel, 56.5% had a TREC count &lt;20 copies/μL and 17.7% had a KREC count &lt;20 copies/μL, suggestive of low T- and B-cell numbers, respectively. CONCLUSIONS Our multiplex ddPCR assay is an analytically sensitive and specific method for the absolute quantification of TREC and KREC. To the best of our knowledge, this paper is the first to describe the simultaneous quantification of TREC, KREC, and a reference gene by use of ddPCR.


Author(s):  
Yang Zheng ◽  
Jun Jin ◽  
Ziqiang Shao ◽  
Jingquan Liu ◽  
Run Zhang ◽  
...  

The relatively long turnaround time and low sensitivity of traditional blood culture may delay the effective antibiotic therapy in patients with bloodstream infection (BSI). To reduce the morbidity and mortality of BSI, a rapid and sensitive pathogen detection method is urgently required. Acinetobacter baumannii and Klebsiella pneumonia are two major microorganisms responsible for BSI. Here we reported a novel droplet digital PCR (ddPCR) method that can detect A. baumannii and K. pneumonia in whole blood samples within 4 h, with a specificity of 100% for each strain and limit of detection at 0.93 copies/microliter for A. baumannii and 0.27 copies/microliter for K. pneumonia. Clinical validation in 170 patients with suspected BSIs showed that, compared with blood culture that reported 4 (2.4%) A. baumannii cases and 7 (4.1%) K. pneumonia cases, ddPCR detected 23 (13.5%) A. baumannii cases, 26 (15.3%) K. pneumonia cases, and 4 (2.4%) dual infection cases, including the 11 positive patients reported by blood culture. In addition, the positive patients reported by ddPCR alone (n = 42) had significantly lower serum concentrations of procalcitonin and lactate, SOFA and APACHE II scores, and 28-day mortality than those reported by both blood culture and ddPCR (n = 11), suggesting that patients with less severe manifestations can potentially benefit from the guidance of ddPCR results. In conclusion, our study suggests that ddPCR represents a sensitive and rapid method to identify causal pathogens in blood samples and to guide the treatment decisions in the early stage of BSI.


2012 ◽  
Vol 30 (30_suppl) ◽  
pp. 14-14
Author(s):  
Michael James Heller ◽  
Avery Sonnenberg

14 Background: We have developed a “Sample to Answer” dielectrophoretic (DEP) technology for detecting cancer and other disease-related cfc-DNA biomarkers directly from whole blood. Using AC/DC electric field microarray devices specifically designed for the isolation of cfc-DNA, exosomes and cellular nanoparticulates from blood samples, experiments were carried out by adding about 20ul of the patient blood sample to the DEP microarray device. Methods: The DEP field was applied at 10 kHz and 20 Vp-p for 15 minutes to nine microelectrodes. The microarray was then washed three times with 0.5x PBS with the DEP field on, and finally examined by epifluorescent microscopy. Results: For Chronic Lymphocytic Leukemia (CLL) cancer patient blood samples, results clearly show greenish white fluorescent circles around the nine DEP microelectrodes on the array. This is the SYBR Green fluorescent stained cfc-DNA from the CLL cancer patient blood sample now concentrated in the DEP high field regions. Normal blood samples show little or no fluorescence around the DEP high field microelectrodes. More than fifty CLL samples have been analyzed to date. Conclusions: DEP devices are now being used to collect cfc-DNA from other cancer patient whole blood, plasma and serum samples. Blood sample to PCR is now achieved in less than twenty minutes. Newer work has demonstrated that PCR can be carried out in-situ (in the same device). Thus, the new DEP technology and devices set the stage for “seamless sample to answer” diagnostic systems which will allow a variety of important cancer and other disease biomarkers to be rapidly isolated and analyzed directly from whole blood and other clinical samples.


Diagnostics ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 639
Author(s):  
Dumrong Mairiang ◽  
Adisak Songjaeng ◽  
Prachya Hansuealueang ◽  
Yuwares Malila ◽  
Paphavee Lertsethtakarn ◽  
...  

Detection and quantification of viruses in laboratory and clinical samples are standard assays in dengue virus (DENV) studies. The quantitative reverse transcription polymerase chain reaction (qRT-PCR) is considered to be the standard for DENV detection and quantification due to its high sensitivity. However, qRT-PCR offers only quantification relative to a standard curve and consists of several “in-house” components resulting in interlaboratory variations. We developed and optimized a protocol for applying one-step RT-droplet digital PCR (RT-ddPCR) for DENV detection and quantification. The lower limit of detection (LLOD95) and the lower limit of quantification (LLOQ) for RT-ddPCR were estimated to be 1.851 log10-copies/reaction and 2.337 log10-copies/reaction, respectively. The sensitivity of RT-ddPCR was found to be superior to qRT-PCR (94.87% vs. 90.38%, p = 0.039) while no false positives were detected. Quantification of DENV in clinical samples was independently performed in three laboratories showing interlaboratory variations with biases <0.5 log10-copies/mL. The RT-ddPCR protocol presented here could help harmonize DENV quantification results and improve findings in the field such as identifying a DENV titer threshold correlating with disease severity.


Author(s):  
Kazuhiro Horiba ◽  
Yuka Torii ◽  
Toshihiko Okumura ◽  
Suguru Takeuchi ◽  
Takako Suzuki ◽  
...  

Abstract Background Febrile neutropenia (FN) is a frequent complication in immunocompromised patients. However, causative microorganisms are detected in only 10% of patients. This study aimed to detect the microorganisms that cause FN using next-generation sequencing (NGS) to idenjpgy the genome derived from pathogenic microorganisms in the bloodstream. Here, we implemented a metagenomic approach to comprehensively analyze microorganisms present in clinical samples from patients with FN. Methods FN is defined as 1) a neutrophil count &lt; 500/µL, and 2) fever ≥ 37.5 °C. Plasma/serum samples of 112 pediatric patients with FN, 10 patients with neutropenia without fever (NE), were sequenced by NGS and analyzed by a metagenomic pipeline PATHDET. Results The putative pathogens were detected by NGS in 5 of 10 patients with FN with positive for blood culture results, 15 of 87 patients (17%) with negative for blood culture results, and 3 of 8 patients with NE. Several bacteria that were common in the oral, skin, and gut flora were commonly detected in blood samples, suggesting translocation of the human microbiota to the bloodstream in the setting of neutropenia. The cluster analysis of the microbiota in blood samples using NGS demonstrated that the representative bacteria of each cluster was mostly consistent with the pathogens in each patient. Conclusions NGS technique has a great potential for detecting causative pathogens in patients with FN. Cluster analysis, which extracts characteristic microorganisms from a complex microbial population, may be effective to detect pathogens in minute quantities of microbiota, such as those from the bloodstream.


2020 ◽  
Author(s):  
Suttipat Srisut ◽  
Kanokon Suwannasin ◽  
Rungirun Sugaram ◽  
Arjen M. Dondorp ◽  
Mallika Imwong

Abstract Background: Copy number variations (CNVs) of the Plasmodium falciparum multidrug resistance 1 (pfmdr1), P. falciparum pfplasmepsin2 (pfplasmepsin2) and P. falciparum GTP cyclohydrolase 1 (pfgch1) genes are associated with antimalarial drug resistance in P. falciparum malaria. Droplet digital PCR (ddPCR) assays have been developed for accurate assessment of CNVs in several human genes. The aim of the present study was to develop and validate ddPCR assays for detection of the CNVs of P. falciparum genes associated with resistance to antimalarial drugs.Methods: The ddPCR assays were developed to detect the CNVs in the pfmdr1, pfplasmepsin2 and pfgch1 genes. The gene copy number (GCN) quantification limit, as well as the accuracy and precision of the ddPCR assays were determined and compared to conventional quantitative PCR (qPCR). In addition, the CNVs of genes of field samples collected from Thailand from 2015 to 2019 (n = 84) were assessed by ddPCR and results were compared to qPCR as the reference assay.Results: Based on the obtained gene copy number quantification limit, the accuracy and percent relative standard deviation (%RSD) value of the multiplex ddPCR assay were 95% and 5%, respectively, for detection of the CNV of the pfmdr1 gene, and 91% and 5% for detection of the CNV of the pfplasmepsin2 gene. The accuracy and %RSD value of the duplex ddPCR assay were 94.88% and 3.71, respectively, regarding pfgch1 GCN. In the P. falciparum field samples, pfmdr1 and pfplasmepsin2 GCNs were amplified in 15% and 27% of samples from Ubon Ratchathani, Thailand, while pfgch1 GCN was amplified in 50% of samples from Yala, Thailand. There was 100% agreement between the GCN results obtained from the ddPCR and qPCR assays (κ = 1.00). Conclusions: The developed ddPCR assays are simple, accurate, precise and cost-effective tools for detection of the CNVs in the pfmdr1, pfplasmepsin2 and pfgch1 genes of P. falciparum. The ddPCR assay is a useful additional tool for the surveillance of antimalarial drug resistance.


2018 ◽  
Vol 64 (12) ◽  
pp. 1762-1771 ◽  
Author(s):  
Mariana Fitarelli-Kiehl ◽  
Fangyan Yu ◽  
Ravina Ashtaputre ◽  
Ka Wai Leong ◽  
Ioannis Ladas ◽  
...  

Abstract BACKGROUND Although interest in droplet-digital PCR technology (ddPCR) for cell-free circulating DNA (cfDNA) analysis is burgeoning, the technology is compromised by subsampling errors and the few clinical targets that can be analyzed from limited input DNA. The paucity of starting material acts as a “glass ceiling” in liquid biopsies because, irrespective how analytically sensitive ddPCR techniques are, detection limits cannot be improved past DNA input limitations. METHODS We applied denaturation-enhanced ddPCR (dddPCR) using fragmented genomic DNA (gDNA) with defined mutations. We then tested dddPCR on cfDNA from volunteers and patients with cancer for commonly-used mutations. gDNA and cfDNA were tested with and without end repair before denaturation and digital PCR. RESULTS By applying complete denaturation of double-stranded DNA before ddPCR droplet formation the number of positive droplets increased. dddPCR using gDNA resulted in a 1.9–2.0-fold increase in data-positive droplets, whereas dddPCR applied on highly-fragmented cfDNA resulted in a 1.6–1.7-fold increase. End repair of cfDNA before denaturation enabled cfDNA to display a 1.9–2.0-fold increase in data-positive signals, similar to gDNA. Doubling of data-positive droplets doubled the number of potential ddPCR assays that could be conducted from a given DNA input and improved ddPCR precision for cfDNA mutation detection. CONCLUSIONS dddPCR is a simple and useful modification in ddPCR that enables extraction of more information from low-input clinical samples with minor change in protocols. It should be applicable to all ddPCR platforms for mutation detection and, potentially, for gene copy-number analysis in cancer and prenatal screening.


2016 ◽  
Vol 82 ◽  
pp. 70-75 ◽  
Author(s):  
Irene Giovannelli ◽  
Nunziata Ciccone ◽  
Guendalina Vaggelli ◽  
Nunzia Della Malva ◽  
Francesca Torricelli ◽  
...  

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