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Advanced diagnostic technologies have made accurate and precise diagnosis of pathogens easy. Herein, we present a new diagnostic method, droplet digital PCR (ddPCR), to detect and quantify Acinetobacter baumannii in mini bronchoalveolar lavage (mini-BAL) samples. A. baumannii causes ventilator-associated pneumonia (VAP), a severe healthcare infection affecting patients' lungs. VAP carries a high risk of morbidity and mortality, making its timely diagnosis crucial for prompt and effective management. Methodology. The assay performance was evaluated by comparing colonization data, quantitative culture results, and different generations of PCR (traditional PCR and Real-Time PCR-qPCR Taqman® and SYBR® Green). The ddPCR and qPCR Taqman® prove to be more sensitive than other molecular techniques. Reasonable analytical specificity was obtained with ddPCR, qPCR TaqMan®, and conventional PCR. However, qPCR SYBR® Green technology presented a low specificity, making the results questionable in clinical samples. DdPCR detected/quantified A. baumanni in more clinical samples than other methods (38.64% of the total samples). This emerging ddPCR technology offers promising advantages such as detection by more patients and direct quantification of pathogens without calibration curves.

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Vesicular stomatitis caused by Alagoas vesiculovirus (VSAV) has generated disease outbreaks in Brazil, mainly in the northeast region. Phylogenetic studies divide the isolates into three distinct genotypes (A, B, and C). However, there is no description of how this genetic divergence reflects on the phenotype of VSAV isolates such as in vitro replication fitness. Therefore, the objective of this work was to evaluate the ability of three distinct genotypes of Brazilian isolates of VSAV to grow in different cell-culture lines (BHK-21, Vero, and NCI-H1299). Quantification of viral RNA was performed using RT-PCR digital droplet from supernatant of cell culture collected every 4 h for a period of 24 h of viral growth in three different cell lines (BHK-21, Vero, and NCI-H1299). It was observed that the genotype C isolate has the lowest replication efficiency among the three analyzed viruses, without major changes in the copies of viral RNA over the entire time of the study.

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Malaria is an acute febrile disease caused by a protozoan of the genus Plasmodium. Light microscopy (LM) is the gold standard for the diagnosis of malaria. Despite this method being rapid and inexpensive, it has a low limit of detection, which hampers the identification of low parasitemia infections. By using multicopy targets and highly sensitive molecular techniques, it is possible to change this scenario. In this study, we evaluated the performance of droplet digital PCR (ddPCR) to detect Plasmodium DNA obtained from saliva samples (whole saliva and buccal swab) of 157 individuals exposed to malaria transmission from the Brazilian Amazon region. We used the highly sensitive ddPCR method with non-ribosomal multicopy targets for Plasmodium vivax (Pvr47) and Plasmodium falciparum (Pfr364). There was good concordance between the quantitative real-time PCR (qPCR) results from the saliva and blood, except for mixed-species infections. The sensitivity of qPCR was 93% for blood, 77% for saliva, and 47% for swabs. Parasite DNA was not detected in saliva samples in low-density infections compared with the detection in blood samples. ddPCR showed increased sensitivity for detecting Plasmodium in the blood and swabs (99% in blood, 73% in saliva, and 59% in swabs). Notably, ddPCR detected more mixed infections in the blood (15%), saliva (9%), and swabs (18%) than qPCR. Our data showed that the differences between ddPCR and qPCR were the result of a higher number of P. falciparum infections detected by ddPCR. Overall, there was a moderate correlation between parasite densities estimated by the different methods in the blood. Our findings highlight the possibility of using non-invasive sample collection methods for malaria diagnosis by targeting multicopy sequences combined with highly sensitive molecular methods.

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Infection with ovine gammaherpesvirus 2 (OvHV-2) is generally asymptomatic in sheep; however, when it crosses the species barrier, it causes malignant catarrhal fever (MCF) in cattle. In the present study, we developed a real-time PCR assay and a droplet digital PCR assay and use both methods to study an outbreak caused by OvHV-2. Both PCR methods showed high sensitivity and specificity and were able to detect low copy numbers of OvHV-2 in sheep and cattle. The present study describes the first digital PCR quantification of OvHV-2 genome copies in samples collected from sheep and cattle.

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Although PPV has been described as a cellular contaminant, few recent studies about the presence of this virus in cell cultures, serum, and trypsin were found in the literature. The purpose of this study was to detect the presence of porcine parvovirus (PPV) by polymerase chain reaction (PCR) in cell cultures, serum, and trypsin used in official public laboratories of educational institutes and research centers. We tested samples of cell cultures (88), batches of trypsin (10), and fetal bovine serum (13) from different manufacturers. The PCR for beta-actin and GAPDH was used to evaluate the efficiency of DNA extraction from samples. The PPV DNA was detected in 52 of 88 (59.1%) cell culture samples. One in ten batches of trypsin tested for PPV DNA was positive. In no sample of fetal bovine serum, amplification of PPV DNA was observed. Positive samples were tested and confirmed by another analyst. In addition, all positive samples were sequenced. Our results indicate that regular PCR testing for PPV in cell cultures and their supplies is important.

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