Detection of Rare Drug Resistance Mutations by Digital PCR in a Human Influenza A Virus Model System and Clinical Samples.

Digital PCR (dPCR) is being increasingly used for the quantification of sequence variations, including single nucleotide polymorphisms (SNPs), due to its high accuracy and precision in comparison with techniques such as quantitative PCR (qPCR) and melt curve analysis. To develop and evaluate dPCR for SNP detection using DNA, RNA, and clinical samples, an influenza virus model of resistance to oseltamivir (Tamiflu) was used. First, this study was able to recognize and reduce off-target amplification in dPCR quantification, thereby enabling technical sensitivities down to 0.1% SNP abundance at a range of template concentrations, a 50-fold improvement on the qPCR assay used routinely in the clinic. Second, a method was developed for determining the false-positive rate (background) signal. Finally, comparison of dPCR with qPCR results on clinical samples demonstrated the potential impact dPCR could have on clinical research and patient management by earlier (trace) detection of rare drug-resistant sequence variants. Ultimately this could reduce the quantity of ineffective drugs taken and facilitate early switching to alternative medication when available. In the short term such methods could advance our understanding of microbial dynamics and therapeutic responses in a range of infectious diseases such as HIV, viral hepatitis, and tuberculosis. Furthermore, the findings presented here are directly relevant to other diagnostic areas, such as the detection of rare SNPs in malignancy, monitoring of graft rejection, and fetal screening.

The need for transparency and good practices in the qPCR literature.

Two surveys of over 1,700 publications whose authors use quantitative real-time PCR (qPCR) reveal a lack of transparent and comprehensive reporting of essential technical information. Reporting standards are significantly improved in publications that cite the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines, although such publications are still vastly outnumbered by those that do not.

Diagnosis of neuroinvasive astrovirus infection in an immunocompromised adult with encephalitis by unbiased next-generation sequencing.

Metagenomic next-generation sequencing (NGS) was used to diagnose an unusual and fatal case of progressive encephalitis in an immunocompromised adult presenting at disease onset as bilateral hearing loss. The sequencing and confirmatory studies revealed neuroinvasive infection of the brain by an astrovirus belonging to a recently discovered VA/HMO clade.

Proof-of-Principle for Immune Control of Global HIV-1 Reactivation In Vivo.

BACKGROUND: Emerging data relating to human immunodeficiency virus type 1 (HIV-1) cure suggest that vaccination to stimulate the host immune response, particularly cytotoxic cells, may be critical to clearing of reactivated HIV-1-infected cells. However, evidence for this approach in humans is lacking, and parameters required for a vaccine are unknown because opportunities to study HIV-1 reactivation are rare. METHODS: We present observations from a HIV-1 elite controller, not treated with combination antiretroviral therapy, who experienced viral reactivation following treatment for myeloma with melphalan and autologous stem cell transplantation. Mathematical modeling was performed using a standard viral dynamic model. Enzyme-linked immunospot, intracellular cytokine staining, and tetramer staining were performed on peripheral blood mononuclear cells; in vitro CD8 T-cell-mediated control of virion production by autologous CD4 T cells was quantified; and neutralizing antibody titers were measured. RESULTS: Viral rebound was measured at 28,000 copies/mL on day 13 post-transplant before rapid decay to <50 copies/mL in 2 distinct phases with t1/2 of 0.71 days and 4.1 days. These kinetics were consistent with an expansion of cytotoxic effector cells and killing of productively infected CD4 T cells. Following transplantation, innate immune cells, including natural killer cells, recovered with virus rebound. However, most striking was the expansion of highly functional HIV-1-specific cytotoxic CD8 T cells, at numbers consistent with those applied in modeling, as virus control was regained. CONCLUSIONS: These observations provide evidence that the human immune response is capable of controlling coordinated global HIV-1 reactivation, remarkably with potency equivalent to combination antiretroviral therapy. These data will inform design of vaccines for use in HIV-1 curative interventions.

Comparative study of sensitivity, linearity, and resistance to inhibition of digital and nondigital polymerase chain reaction and loop mediated isothermal amplification assays for quantification of human cytomegalovirus.

Performing nucleic acid amplification techniques (NAATs) in digital format using limiting dilution provides potential advantages that have recently been demonstrated with digital polymerase chain reaction (dPCR). Key benefits that have been claimed are the ability to quantify nucleic acids without the need of an external calibrator and a greater resistance to inhibitors than real-time quantitative PCR (qPCR). In this study, we evaluated the performance of four NAATs, qPCR, dPCR, real-time quantitative loop mediated isothermal amplification (qLAMP), and digital LAMP (dLAMP), for the detection and quantification of human cytomegalovirus (hCMV). We used various DNA templates and inhibitors to compare the performance of these methods using a conventional real-time thermocycler platform (Bio-Rad CFX96) and a chip based digital platform (Fluidigm Biomark 12.765 Digital Array). dPCR performed well and demonstrated greater resistance to inhibitors than the other methods although this resistance did not apply equally to all inhibitors tested. dLAMP was found to be less sensitive than dPCR, but its quantitative performance was better than qLAMP, the latter being unable to quantify below 1000 copies. dLAMP was also more resistant to inhibitors than qLAMP. Unlike qPCR, both digital methods were able to quantify viral genomes without requiring a calibrator; however, neither can currently compete with the large reaction volumes, and thus the greater absolute sensitivity, of qPCR. With the introduction of digital instrumentation that will enable larger reaction volumes, digital amplification methods such as those evaluated in this study could potentially offer a robust alternative to qPCR for nucleic acid quantification.

Evaluation of an ethidium monoazide-enhanced 16S rDNA real-time polymerase chain reaction assay for bacterial screening of platelet concentrates and comparison with automated culture.

BACKGROUND: Culture-based systems are currently the preferred means for bacterial screening of platelet (PLT) concentrates. Alternative bacterial detection techniques based on nucleic acid amplification have also been developed but these have yet to be fully evaluated. In this study we evaluate a novel 16S rDNA polymerase chain reaction (PCR) assay and compare its performance with automated culture. STUDY DESIGN AND METHODS: A total of 2050 time-expired, 176 fresh, and 400 initial-reactive PLT packs were tested by real-time PCR using broadly reactive 16S primers and a "universal" probe (TaqMan, Invitrogen). PLTs were also tested using a microbial detection system (BacT/ALERT, bioMérieux) under aerobic and anaerobic conditions. RESULTS: Seven of 2050 (0.34%) time-expired PLTs were found repeat reactive by PCR on the initial nucleic acid extract but none of these was confirmed positive on testing frozen second aliquots. BacT/ALERT testing also failed to confirm any time-expired PLTs positive on repeat testing, although 0.24% were reactive on the first test. Three of the 400 "initial-reactive" PLT packs were found by both PCR and BacT/ALERT to be contaminated (Escherichia coli, Listeria monocytogenes, and Streptococcus vestibularis identified) and 14 additional packs were confirmed positive by BacT/ALERT only. In 13 of these cases the contaminating organisms were identified as anaerobic skin or oral commensals and the remaining pack was contaminated with Streptococcus pneumoniae. CONCLUSION: These results demonstrate that the 16S PCR assay is less sensitive than BacT/ALERT and inappropriate for early testing of concentrates. However, rapid PCR assays such as this may be suitable for a strategy of late or prerelease testing.

The digital MIQE guidelines: Minimum Information for Publication of Quantitative Digital PCR Experiments.

There is growing interest in digital PCR (dPCR) because technological progress makes it a practical and increasingly affordable technology. dPCR allows the precise quantification of nucleic acids, facilitating the measurement of small percentage differences and quantification of rare variants. dPCR may also be more reproducible and less susceptible to inhibition than quantitative real-time PCR (qPCR). Consequently, dPCR has the potential to have a substantial impact on research as well as diagnostic applications. However, as with qPCR, the ability to perform robust meaningful experiments requires careful design and adequate controls. To assist independent evaluation of experimental data, comprehensive disclosure of all relevant experimental details is required. To facilitate this process we present the Minimum Information for Publication of Quantitative Digital PCR Experiments guidelines. This report addresses known requirements for dPCR that have already been identified during this early stage of its development and commercial implementation. Adoption of these guidelines by the scientific community will help to standardize experimental protocols, maximize efficient utilization of resources, and enhance the impact of this promising new technology.

Development of an ethidium monoazide-enhanced internally controlled universal 16S rDNA real-time polymerase chain reaction assay for detection of bacterial contamination in platelet concentrates.

BACKGROUND: Bacterial contamination of platelet (PLT) concentrates remains a problem for blood transfusion services. Culture-based bacterial screening techniques are available but offer inadequate speed and sensitivity. Alternative techniques based on polymerase chain reaction (PCR) amplification have been described but their performance is often compromised by traces of bacterial DNA in reagents. STUDY DESIGN AND METHODS: Universal 16S rDNA primers were used to develop a real-time PCR assay (TaqMan, Applied Biosystems) and various reagent decontamination strategies were explored. Detection sensitivity was assessed by spiking PLT concentrates with known concentrations of 13 different organisms. RESULTS: Restriction enzyme digestion, master mix ultrafiltration, and use of alternative Taq polymerases all reduced the level of reagent DNA contamination to some extent but all proved unreliable. In contrast, ethidium monoazide (EMA) treatment of the PCR master mix followed by photoactivation was reliable and effective, permitting a full 40 amplification cycles, and totally eliminated contamination without compromising assay sensitivity. All 13 organisms were efficiently detected and the limit of detection for Escherichia coli-spiked PLTs was approximately 1 colony-forming unit/mL. Coamplification of human mitochondrial DNA served to confirm efficient nucleic acid extraction and the absence of PCR inhibition in each sample. One of five automated extraction platforms evaluated was found to be contamination free and capable of high-throughput processing. CONCLUSION: Cross-linking of EMA to DNA via photoactivation solved the previously intractable problem of reagent contamination and permitted the development of a high-sensitivity universal bacterial detection system. Trials are ongoing to assess the suitability of the system for high-throughput screening of PLT concentrates.

Highly sensitive and specific detection of the SARS-CoV-2 Delta variant by double-mismatch allele-specific real time reverse transcription PCR.

BACKGROUND: The highly transmissible Delta variant of SARS-CoV-2 (B.1.617.2), first identified in India, is currently replacing pre-existing variants in many parts of the world. To help guide public health policies it is important to monitor efficiently its spread. Genome sequencing is the gold standard for identification of Delta, but is time-consuming, expensive, and unavailable in many regions. OBJECTIVE: To develop and evaluate a rapid, simple and inexpensive alternative to sequencing for Delta identification. METHODS: A double-mismatch allele-specific RT-PCR (DMAS-RT-PCR) was developed. The technique exploits allele-specific primers, targeting two spike gene mutations, L452R and T478K, within the same amplicon. The discriminatory power of each primer was enhanced by an additional mismatch located at the fourth nucleotide from the 3' end. Specificity was assessed by testing well characterised cell culture-derived viral isolates and clinical samples, most of which had previously been fully sequenced. RESULTS: In all cases the results of viral genotyping by DMAS-RT-PCR were entirely concordant with the results of sequencing, and the assay was shown to discriminate reliably between the Delta variant and other variants (Alpha and Beta), and 'wild-type' SARS-CoV-2. Influenza A and RSV were non-reactive in the assay. The sensitivity of DMAS-RT-PCR matched that of the diagnostic SARS-CoV-2 RT-qPCR screening assay. Several samples that could not be sequenced due to insufficient virus were successfully genotyped by DMAS-RT-PCR. CONCLUSION: The method we describe would be simple to establish in any laboratory that can conduct PCR assays and should greatly facilitate monitoring of the spread of the Delta variant globally.