Search

IntroductionAltered immune signatures are emerging as a central theme in neurodegenerative disease, yet little is known about immune responses in early-onset Alzheimer's disease (EOAD).MethodsWe examined single-cell RNA-sequencing (scRNA-seq) data from peripheral blood mononuclear cells (PBMCs) and droplet digital polymerase chain reaction (ddPCR) data from CD4 T cells from participants with EOAD and clinically normal controls.ResultsWe analyzed PBMCs from 16 individuals by scRNA-seq and discovered increased interferon signaling-associated gene (ISAG) expression and striking expansion of antiviral-like ISAGhi T cells in EOAD. Isolating CD4 T cells from 19 individuals, including four cases analyzed by scRNA-seq, we confirmed increased expression of ISAGhi marker genes. Publicly available cerebrospinal fluid leukocyte scRNA-seq data from late-onset mild cognitive impairment and AD also revealed increased expression of interferon-response genes.DiscussionAntiviral-like ISAGhi T cells are expanded in EOAD. Additional research into these cells and the role of heightened peripheral IFN signaling in neurodegeneration is warranted.HighlightsInterferon-responsive T cells expanded in early-onset Alzheimer's disease (AD). Increased interferon-associated gene expression present in early- and late-onset AD. Peripheral immune changes in T and NK cells driven by females with early-onset AD.

Background: Droplet digital PCR (ddPCR) is a highly sensitive tool for detecting bacterial DNA in bacterial bloodstream infections (BSI). This study aimed to examine the sensitivity and specificity of ddPCR and the association between bacterial DNA load in whole blood and the time-to-positivity (TTP) of blood culture (BC) in patients with Escherichia coli BSI. Methods: This prospective study enrolled patients with E. coli BSI confirmed via BC at the Hiroshima University Hospital from June 2023 to August 2024. The E. coli DNA load in whole blood, which was simultaneously obtained from two BC sets, was measured using ddPCR with E. coli specific primer and probe. Whole blood samples from 50 patients with BC positive for pathogens other than E. coli (n = 25) and BC negative (n = 25) were also evaluated using ddPCR. Results: A total of 131 patient samples were analyzed in this study. Of the 81 patients with E. coli BSI, ddPCR detected E. coli DNA in 67 (82.7%). The results of ddPCR for E. coli had a sensitivity of 82.7% (95% CI: 73.1–89.4%), specificity 100% (95% CI: 93.0–100%). Patients with positive ddPCR results had significantly shorter TTP than those with negative results (median, 8.8 h vs. 10.7 h, p < 0.001). The positivity rate for both BC sets was significantly higher in patients with positive ddPCR results than in those with negative results (89.6% vs. 35.1%, p < 0.001). Among ddPCR-positive patients, septic shock was significantly associated with intestinal perforation, higher E. coli DNA load, higher 28-d mortality, shorter TTP, and higher positivity rate for four bottles of BC than those without septic shock. The E. coli DNA load in whole blood negatively correlated with TTP (p < 0.001, R2 = 0.38). Conclusion: The E. coli DNA load in whole blood is inversely correlated with TTP. Notably, a higher E. coli DNA load is associated with septic shock. [ABSTRACT FROM AUTHOR]

Plasma cell‐free DNA (cfDNA) analysis to track estrogen receptor 1 (ESR1) mutations is highly beneficial for the identification of tumor molecular dynamics and the improvement of personalized treatments for patients with metastatic breast cancer (MBC). Plasma‐cfDNA is, up to now, the most frequent liquid biopsy analyte used to evaluate ESR1 mutational status. Circulating tumor cell (CTC) enumeration and molecular characterization analysis provides important clinical information in patients with MBC. In this study, we investigated whether analysis of CTCs and circulating tumor DNA (ctDNA) provide similar or complementary information for the analysis of ESR1 mutations. We analyzed both plasma‐cfDNA (n = 90) and paired CTC‐derived genomic DNA (gDNA; n = 42) from 90 MBC patients for seven ESR1 mutations. Eight out of 90 (8.9%) plasma‐cfDNA samples tested using the ddPLEX Mutation Detection Assay (Bio‐Rad, Hercules, CA, USA), were found positive for one ESR1 mutation, whereas 11/42 (26.2%) CTC‐derived gDNA samples were found positive for at least one ESR1 mutation. Direct comparison of paired samples (n = 42) revealed that the ESR1 mutation rate was higher in CTC‐derived gDNA (11/42, 26.2%) than in plasma‐cfDNA (6/42, 14.3%) samples. Our results, using this highly sensitive ddPLEX assay, reveal a higher percentage of mutations in CTC‐derived gDNAs than in paired ctDNA in patients with MBC. CTC‐derived gDNA analysis should be further evaluated as an important and complementary tool to ctDNA for identifying patients with ESR1 mutations and for guiding individualized therapy. [ABSTRACT FROM AUTHOR]

Introduction: Detection of PIK3CA mutations in primary tumors and liquid biopsy samples is of increasing importance for treatment decisions and therapy resistance in many types of cancer. The aim of the present study was to directly compare the efficacy of a relatively inexpensive ultrasensitive real-time PCR with the well-established and highly sensitive technology of ddPCR for the detection of the three most common hotspot mutations of PIK3CA , in exons 9 and 20, that are all of clinical importance in various types of cancer. Patients and methods: We analyzed 42 gDNAs from primary tumors (FFPEs), 29 plasma-cfDNA samples, and 29 paired CTC-derived gDNAs, all from patients with ER+ metastatic breast cancer, and plasma from 10 healthy donors. The same blood draws were used for CTC isolation using EpCAM beads for positive immunomagnetic enrichment. All FFPEs and plasma-cfDNA samples were analyzed in parallel for PIK3CA mutations by ultrasensitive real-time PCR assay and droplet digital PCR. Results: In gDNAs from FFPEs, using ultrasensitive real-time PCR, the p.E545K mutation was detected in 22/42(52.4%), and the p.E542K and p.H1047R mutations were detected in 14/42(33.3%) and 16/42(38.1%), respectively. Using ddPCR, the p.E545K mutation was detected in 22/42(52.4%), p.E542K in 17/42(40.5%), and p.H1047R in 19/42(45.2%) samples, revealing a concordance between the two methodologies of 81%, 78.6% and 78.6% for each mutation respectively. In plasma-cfDNA, using ultrasensitive real-time PCR, the p.E545K mutation was detected in 11/29(38%) and both p.E542K and p.H1047R mutations in 2/29(6.9%).In the same plasma-cfDNA samples using ddPCR, p.E545K was detected in 1/29(3.5%), p.E542K in 2/29(6.9%), and p.H1047R in 3/29(10.5%) samples, revealing a concordance of 65.5%,100% and 93.1% for each mutation respectively. In paired CTC-derived gDNAs p.E545K was detected in 11/29(38%), p.E542K in 3/29(10.3%), and p.H1047R in 7/29(24.1%) samples. Conclusions: This low-cost, high-throughput and ultrasensitive real-time PCR assay provides accurate and specific detection of PIK3CA hotspot mutations in liquid biopsy samples and gives similar results to ddPCR. This assay can be performed in labs where digital PCR instrumentation is not available. In CTC-derived gDNA and paired plasma-cfDNA, PIK3CA mutations detected were not identical, revealing that CTC and plasma-cfDNA give complementary information. [ABSTRACT FROM AUTHOR]

Transient abnormal myelopoiesis (TAM) generally affects newborns with Down syndrome and is associated with constitutional trisomy 21 and a somatic GATA1 mutation. Here we describe a case of TAM which evolved after umbilical cord blood transplantation (UCBT), whose origin was identified as a GATA1 mutation-harboring clone in umbilical cord blood (UCB) by detailed genetic analyses. A 58-year-old male who received UCBT for peripheral T-cell lymphoma presented progressive anemia and thrombocytopenia, and leukocytosis with blast cells in the peripheral blood (PB). Bone marrow (BM) aspiration showed granulocytic and megakaryocytic dysplasia with excess blasts whose karyotype was trisomy 21. Short tandem repeat analysis showed complete donor chimerism. He was initially diagnosed as donor-derived myelodysplastic syndrome (MDS) and treated with azacitidine, followed by secondary transplantation using unrelated BM, providing durable complete remission. Retrospective targeted-capture sequencing analysis of PB/BM samples collected at multiple timepoints identified trisomy 21 and a GATA1 mutation, suggestive of a diagnosis of donor cell-derived TAM (DC-TAM). Importantly, a minor clone with the same GATA1 mutation was detected in UCB by droplet digital PCR. DC-TAM is a rare UCBT-related complication which resembles MDS, but the identification of GATA1 mutation may be useful for its diagnosis. Our genetic analyses revealed that a pre-existing clone in UCB may contribute to the development of donor cell-derived hematologic neoplasms, highlighting the potential relevance of genetic screening of donor UCB. [ABSTRACT FROM AUTHOR]

This paper reported a novel approach to quantification of adulterated fox-derived components in meat products by drop digital polymerase chain reaction (ddPCR). By using the F2 gene as the target gene of fox, a single primer was designed to identify the adulteration that had been added either inadvertently or deliberately during the process. In this paper, the fox meat was used as the experimental materials and a relationship was established between fox mass and copy number by extracting DNA and using DNA concentration as an intermediary. The results that across the dynamic range, the relationships between meat mass and DNA concentration were nearly linear (R2 = 0.9986), as was the relationship between DNA concentration and DNA copy number (R2 = 0.9992). Based on the DNA concentration, the following formulas were developed about the relationship between fox meat mass (Mfox) and DNA copy number (C): Mfox = 0.05C + 2.7. [ABSTRACT FROM AUTHOR]

Rotaviruses are well‐recognized pathogens responsible for diarrhea in humans and various animal species, with Rotavirus A the most often detected and most thoroughly described. Rotaviral disease is an important concern in pathology of pigeons as well, as pigeon rotavirus A was proven to play a major role in young pigeon disease (YPD). However, rotaviruses of other groups have been so far understudied in birds. This paper describes the first finding of Rotavirus G in domestic pigeon in Europe, as well as the recovery of three complete genomes of pigeon rotavirus A with Oxford Nanopore Sequencing. Quantification of pigeon rotavirus A genetic material with droplet digital polymerase chain reaction (PCR) in pigeons suffering from diarrhea and in asymptomatic pigeons was also performed in the frameworks of this study and resulted in determination of statistically highly significant differences between the groups in both detection rate and shedding of the virus. Phylogenetic analysis revealed the close relationship of acquired strains with those originating from pigeons from Europe, North America, Asia, and Australia, indicating a broad geographical spread of pigeon rotaviruses. Results of our research shed more light on occurrence and diversity of Rotavirus species in pigeons. [ABSTRACT FROM AUTHOR]

Background: The 1986 disaster at the Chornobyl Nuclear Power Plant released massive amounts of radioactive material into the local environment. In addition to radiation, remediation efforts and abandonment of military-industrial complexes contributed to contamination with heavy metals, organics, pesticides and other toxic chemicals. Numerous studies have evaluated the effects of this contamination on the local ecology. However, few studies have reported the effect of this contamination on vector-borne pathogens and their hosts. In this manuscript, we characterize tick-borne pathogen presence at two sample locations within the Chornobyl Exclusion Zone, one at the Nuclear Power Plant (NPP) and another 16 km away in Chornobyl City (CC). Methods: Ticks and whole-blood samples were collected from free-breeding dogs captured at the NPP and CC. Endpoint PCR and quantitative PCR were used to identify tick species and to assess the presence of specific tick-borne pathogens, including Anaplasma phagocytophilum, Borrelia burgdorferi sensu lato, Babesia spp., Bartonella spp., Francisella tularensis and general Anaplasmataceae. A droplet digital PCR assay was developed for Babesia canis and A. phagocytophilum to evaluate their presence in dogs from the two populations. Pathogen prevalences between the two sample populations were compared by calculating Z-scores. Results: Ticks were identified as Ixodes ricinus (n = 102) and Dermacentor reticulatus (n = 4). Overall, 56.9% of I. ricinus ticks were positive for at least one pathogen. A significantly higher prevalence of A. phagocytophilum and B. burgdorferi was found in ticks at the NPP (44.0% and 42.0%, respectively) compared to CC (23.1% and 19.2%, respectively). Babesia spp. (including B. canis and B. caballi) were detected in 8.8% ticks at similar proportions for both populations. Interestingly, we found a significantly lower level of A. phagocytophilum in dogs at the NPP (1.8%) than in dogs at CC (11.7%). In total, 24.3% of dogs were positive for B. canis, evenly distributed across the two populations. Conclusions: The results of this study show contrasting pathogen prevalence in both ticks and dogs at the NPP and CC, which may reflect the differential exposures at the two locations. This work adds an important new component to our understanding of the consequences of prolonged exposure to environmental contamination on the wildlife and ecology within the Chornobyl Exclusion Zone. [ABSTRACT FROM AUTHOR]

Canine distemper virus (CDV) poses a substantial threat to diverse carnivorans, leading to systemic and often fatal diseases. Accurate and prompt diagnosis is paramount for effective management and curbing further transmission. This study evaluates the diagnostic performance of droplet digital PCR (ddPCR) in comparison to conventional reverse-transcription (RT-PCR) and quantitative reverse-transcription real-time PCR (RT-qPCR). Seventy-six clinical samples were collected from dogs with CDV symptoms diagnosed by specialized veterinarians, and sixteen samples from apparently healthy individuals. Conventional PCR, quantitative real-time PCR, and ddPCR were deployed, and their diagnostic capabilities were meticulously assessed. DdPCR exhibited heightened analytical sensitivity, reaching a detection limit of 3 copies/μL, whereas RT-qPCR had a detection limit of 86 copies/μL. The comparative analysis between clinical diagnosis and molecular techniques, including RT-PCR and RT-qPCR, demonstrated low concordance, with Kappa coefficients of 0.268 and 0.324, respectively. In contrast, ddPCR showed a moderate concordance, with a Kappa coefficient of 0.477. The sensitivity was 42.4% for RT-PCR, 57.9% for RT-qPCR, and 72.4% for ddPCR, with 100% specificity for all methods. This study underscores ddPCR's superior sensitivity and agreement with clinical CDV diagnosis, even at low viral concentrations, suggesting it as a promising alternative for CDV diagnosis. [ABSTRACT FROM AUTHOR]

With the continuous development and advancement of human pluripotent stem cell (PSC)-derived cell therapies, an ever-increasing number of clinical indications can benefit from their application. Due to the capacity for PSCs to form teratomas, safety testing is required to ensure the absence of residual PSCs in a cell product. To mitigate these limitations, in vitro analytical methods can be utilized as quality control after the production of a PSC-derived cell product. Sensitivity of these analytic methods is critical in accurately quantifying residual PSC in the final cell product. In this study, we compared the sensitivity of three in vitro assays: qPCR, ddPCR and RT-LAMP. The spike-in samples were produced from three independent experiments, each spiked with different PSC lines (PSC1, NH50191, and WA09 referred to as H9) into a background of primary fibroblasts (Hs68). These samples were then subjected to qPCR, ddPCR and RT-LAMP to determine their detection limit in measuring a commonly used PSC marker, LIN28A. The results indicated that the three analytic methods all exhibited consistent results across different cell-line spiked samples, with ddPCR demonstrating the highest sensitivity of the three methods. The LIN28A ddPCR assay could confidently detect 10 residual PSCs in a million fibroblasts. In our hand, ddPCR LIN28A assay demonstrated the highest sensitivity for detection of residual PSCs compared to the other two assays. Correlating such in vitro safety results with corresponding in vivo studies demonstrating the tumorigenicity profile of PSC-derived cell therapy could accelerate the safe clinical translation of cell therapy. [ABSTRACT FROM AUTHOR]

In this study, a ddPCR method for the detection of scale drop disease virus (SDDV) in yellowfin seabream (Acanthopagrus latus) was established based on Real-time fluorescence quantitative PCR detection methods and principles. The reaction conditions were optimized, and the sensitivity, specificity, accuracy, and reproducibility were assessed. The results showed that threshold line position was determined to be 1900 by the ddPCR method; the optimum annealing temperature for SDDV detection by the ddPCR method was 60°C; the limit of detection was 1.4-1.7 copies/µL; the results of specific detection of other common viruses, except for SDDV specific amplification, were all negative; and the relative standard deviation (RSD) for the reproducibility validation was 0.77%. The samples of yellowfin seabream (Acanthopagrus latus) liver, spleen, kidney, heart, intestine, brain, blood, muscle, skin and ascites with three replicates, respectively, were tested using the ddPCR method, and the results were consistent with clinical findings. The ddPCR method established in this study has the advantages of high sensitivity, high specificity, good reproducibility and simple steps for the quantitative detection of SDDV, which could be used for the nucleic acid detection of clinical SDDV samples, and provided a new quantitative method for the diagnosis of yellowfin seabream SDDV in the early stage of pathogenesis. [ABSTRACT FROM AUTHOR]

Background: Droplet digital (dd)PCR is a new-generation PCR technique with high precision and sensitivity; however, the positive and negative droplets are not always effectively separated because of the “rain” phenomenon. We aimed to develop a practical optimization and evaluation process for the ddPCR assay and to apply it to the detection of BRAF V600E in fine-needle aspiration (FNA) specimens of thyroid nodules, as an example. Methods: We optimized seven ddPCR parameters that can affect “rain.” Analytical and clinical performance were analyzed based on histological diagnosis after thyroidectomy using a consecutive prospective series of 242 FNA specimens. Results: The annealing time and temperature, number of PCR cycles, and primer and probe concentrations were found to be more important considerations for assay optimization than the denaturation time and ramp rate. The limit of blank and 95% limit of detection were 0% and 0.027%, respectively. The sensitivity of ddPCR for histological papillary thyroid carcinoma (PTC) was 82.4% (95% confidence interval [CI], 73.6%–89.2%). The pooled sensitivity of BRAF V600E in FNA specimens for histological PTC was 78.6% (95% CI, 75.9%–81.2%, I² =60.6%). Conclusions: We present a practical approach for optimizing ddPCR parameters that affect the separation of positive and negative droplets to reduce rain. Our approach to optimizing ddPCR parameters can be expanded to general ddPCR assays for specific mutations in clinical laboratories. The highly sensitive ddPCR can compensate for uncertainty in cytological diagnosis by detecting low levels of BRAF V600E. [ABSTRACT FROM AUTHOR]

Abstract Background Droplet digital PCR (ddPCR) is a highly sensitive tool for detecting bacterial DNA in bacterial bloodstream infections (BSI). This study aimed to examine the sensitivity and specificity of ddPCR and the association between bacterial DNA load in whole blood and the time-to-positivity (TTP) of blood culture (BC) in patients with Escherichia coli BSI. Methods This prospective study enrolled patients with E. coli BSI confirmed via BC at the Hiroshima University Hospital from June 2023 to August 2024. The E. coli DNA load in whole blood, which was simultaneously obtained from two BC sets, was measured using ddPCR with E. coli specific primer and probe. Whole blood samples from 50 patients with BC positive for pathogens other than E. coli (n = 25) and BC negative (n = 25) were also evaluated using ddPCR. Results A total of 131 patient samples were analyzed in this study. Of the 81 patients with E. coli BSI, ddPCR detected E. coli DNA in 67 (82.7%). The results of ddPCR for E. coli had a sensitivity of 82.7% (95% CI: 73.1–89.4%), specificity 100% (95% CI: 93.0–100%). Patients with positive ddPCR results had significantly shorter TTP than those with negative results (median, 8.8 h vs. 10.7 h, p

Barley yellow dwarf viruses (BYDVs) belong to a complex of several species, all vectored by aphids. Due to the abundance of Sitobion avenae and Rhopalosiphum padi, BYDV-MAV and BYDV-PAS are among the prevalent species in Irish crops. Several BYDV detection methods, such as immunosorbent assays and PCR-based diagnostic tests, are available and routinely used. However, there are opportunities to develop improved assays to capture viral load information from different sample matrices. Here, we successfully developed a droplet digital PCR assay to detect and quantify BYDV-MAV and BYDV-PAS in both aphid and barley samples. The high specificity shown by this assay allows us to differentiate the two species from each other within a wide dynamic range. This assay will provide a better overview of the process underlying BYDV infection and transmission from the early stage of infection to the appearance of the symptoms.

Abstract Background Acne vulgaris is a multifactorial disease of the pilosebaceous unit of human skin. Previous studies have identified an acne‐associated dysbiosis of the skin microbiome. Objectives This dysbiosis was mainly determined for Cutibacterium acnes. However, detailed analyses combining qualitative and quantitative aspects are scarce, also regarding the possible contribution of other skin bacteria and the impact of treatment. Methods We conducted a culture‐independent study to determine differences between the healthy skin and the acne microbiome before and after isotretinoin treatment. Three amplicon‐based sequencing approaches and digital droplet PCR for quantification were applied. Results Our results revealed a 2.2‐fold reduced abundance of C. acnes with a reduced diversity in the acne microbiome. A phylotype switch was found, which was mainly characterized by a significant relative decrease of IB and II strains in the acne microbiome. In contrast, the relative abundance of staphylococci increased significantly and the quantitative ratio of staphylococci to C. acnes strongly increased from 1:34 in the healthy cohort to 1:11 in the acne cohort. The diversity of staphylococci was reduced, mainly due to the decrease of Staphylococcus hominis, and the appearance and predominance of Staphylococcus aureus in some acne patients. Isotretinoin treatment drastically depleted C. acnes (37‐fold) and moderately also staphylococci (3.6‐fold). Isotretinoin treatment resulted in a decrease of Staphylococcus epidermidis and a significant increase of S. aureus on facial skin. Conclusions The switch from a C. acnes‐dominated healthy skin microbiome towards an acne microbiome that is relatively enriched in staphylococci could indicate a stronger impact of staphylococci in the pathophysiology of acne than currently acknowledged. Our data further showed that isotretinoin largely eliminated the skin microbiome and in particular C. acnes, but also S. epidermidis. Instead, more harmful bacteria such as S. aureus could expand, suggesting that posttreatment strategies should be considered to accelerate skin microbiome recovery.

Abstract Domestic dogs (Canis lupus familiaris) serve as valuable translational models for human cancer research due to their biological similarities. Canine mammary tumors (CMTs), frequently diagnosed in female dogs, share various characteristics with human breast cancers. This study investigates the PIK3CA (H1047R) mutation in CMTs using droplet digital PCR (ddPCR) and explores the potential of liquid biopsy for non-invasive detection. We analyzed 80 formalin-fixed, paraffin-embedded (FFPE) CMT tissue samples and compared ddPCR results with next-generation sequencing (NGS) data, achieving high concordance. Plasma and serum samples were also assessed for mutation concordance with tissue results. Our findings indicate a higher frequency of the PIK3CA (H1047R) mutations in benign and grade I malignant CMTs compared to more aggressive malignancies. The ddPCR assay demonstrated high sensitivity and specificity, with plasma testing showing 78.6% sensitivity and 87.5% specificity, and serum testing showing 66.7% sensitivity and 90.0% specificity. These results highlight the viability of liquid biopsy as a minimally invasive method for monitoring PIK3CA mutations in canine patients. The study suggests that liquid biopsy techniques hold significant promise for improving the early detection and monitoring of canine cancers, warranting further research to refine these methods and explore their applications in canine cancer diagnostics and treatment.

Abstract Background DNA methylation showed notable potential to act as a diagnostic marker in many cancers. Many studies proposed DNA methylation biomarker in OSCC detection, while most of these studies are limited to specific cohorts or geographical location. However, the generalizability of DNA methylation as a diagnostic marker in oral cancer across different geographical locations is yet to be investigated. Methods We used genome-wide methylation data from 384 oral cavity cancer and normal tissues from TCGA HNSCC and eastern India. The common differentially methylated CpGs in these two cohorts were used to develop an Elastic-net model that can be used for the diagnosis of OSCC. The model was validated using 812 HNSCC and normal samples from different anatomical sites of oral cavity from seven countries. Droplet Digital PCR of methyl-sensitive restriction enzyme digested DNA (ddMSRE) was used for quantification of methylation and validation of the model with 22 OSCC and 22 contralateral normal samples. Additionally, pyrosequencing was used to validate the model using 46 OSCC and 25 adjacent normal and 21 contralateral normal tissue samples. Results With ddMSRE, our model showed 91% sensitivity, 100% specificity, and 95% accuracy in classifying OSCC from the contralateral normal tissues. Validation of the model with pyrosequencing also showed 96% sensitivity, 91% specificity, and 93% accuracy for classifying the OSCC from contralateral normal samples, while in case of adjacent normal samples we found similar sensitivity but with 20% specificity, suggesting the presence of early disease methylation signature at the adjacent normal samples. Methylation array data of HNSCC and normal tissues from different geographical locations and different anatomical sites showed comparable sensitivity, specificity, and accuracy in detecting oral cavity cancer with across. Similar results were also observed for different stages of oral cavity cancer. Conclusions Our model identified crucial genomic regions affected by DNA methylation in OSCC and showed similar accuracy in detecting oral cancer across different geographical locations. The high specificity of this model in classifying contralateral normal samples from the oral cancer compared to the adjacent normal samples suggested applicability of the model in early detection.

Abstract Background Nipah virus (NiV) is a zoonotic pathogen that poses a significant threat because of its wide host range, multiple transmission modes, high transmissibility, and high mortality rates, affecting both human health and animal husbandry. In this study, we developed a one-step reverse transcription droplet digital PCR (RT-ddPCR) assay that targets the N gene of NiV. Results Our RT-ddPCR assay exhibited remarkable sensitivity, with a lower limit of detection of 6.91 copies/reaction. Importantly, it displayed no cross-reactivity with the other 13 common viruses and consistently delivered reliable results with a coefficient of variation below 10% across different concentrations. To validate the effectiveness of our RT-ddPCR assay, we detected 75 NiV armored RNA virus samples, mimicking real-world conditions, and negative control samples, and the RT-ddPCR results perfectly matched the simulated results. Furthermore, compared with a standard quantitative real-time PCR (qPCR) assay, our RT-ddPCR assay demonstrated greater stability when handling complex matrices with low viral loads. Conclusions These findings show that our NiV RT-ddPCR assay is exceptionally sensitive and provides a robust tool for quantitatively detecting NiV, particularly in stimulated field samples with low viral loads or complex matrices. This advancement has significant implications for early NiV monitoring, safeguarding human health and safety, and advancing animal husbandry practices.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive disease with limited survival. Curative opportunities are only available for patients with resectable cancer. Palliative chemotherapy is the current standard of care for unresectable tumors. Numerous efforts have been made to investigate new therapeutic strategies for PDAC. Immunotherapy has been found to be effective in treating tumors with high microsatellite instability (MSI-H), including PDAC. The ability of the Endoscopic Ultrasound Fine Needle Biopsy (EUS-FNB) to reliably collect tissue could enhance new personalized treatment by permitting genomic alterations analysis. The aim of this study was to investigate the feasibility of obtaining adequate DNA for molecular analysis from EUS-FNB formalin-fixed-paraffin-embedded (FFPE) specimens. For this purpose, FFPE-DNA obtained from 43 PDAC archival samples was evaluated to verify adequacy in terms of quantity and quality and was tested to evaluate MSI-H status by droplet digital PCR (ddPCR). All samples were suitable for ddPCR analysis. Unlike the 1–2% MSI-H frequency found with traditional techniques, ddPCR detected this phenotype in 16.28% of cases. This study suggests the ddPCR ability to identify MSI-H phenotype, with the possibility of improving the selection of patients who may benefit from immunotherapy and who would be excluded by performing traditional diagnostic methods. [ABSTRACT FROM AUTHOR]

Pine wilt disease (PWD), which poses a significant risk to pine plantations across the globe, is caused by the pathogenic agent Bursaphelenchus xylophilus, also referred to as the pine wood nematode (PWN). A droplet digital PCR (ddPCR) assay was developed for the quick identification of the PWN in order to improve detection sensitivity. The research findings indicate that the ddPCR assay demonstrated significantly higher analysis sensitivity and detection sensitivity in comparison to traditional quantitative PCR (qPCR). However, it had a more limited dynamic range. High specificity was shown by both the ddPCR and qPCR techniques in the diagnosis of the PWN. Assessments of reproducibility revealed that ddPCR had lower coefficients of variation at every template concentration. Inhibition tests showed that ddPCR was less susceptible to inhibitors. There was a strong linear association between standard template measurements obtained using ddPCR and qPCR (Pearson correlation = 0.9317; p < 0.001). Likewise, there was strong agreement (Pearson correlation = 0.9348; p < 0.001) between ddPCR and qPCR measurements in the evaluation of pine wood samples. Additionally, wood samples from symptomatic (100% versus 86.67%) and asymptomatic (31.43% versus 2.9%) pine trees were diagnosed with greater detection rates using ddPCR. This study's conclusions highlight the advantages of the ddPCR assay over qPCR for the quantitative detection of the PWN. This method has a lot of potential for ecological research on PWD and use in quarantines. [ABSTRACT FROM AUTHOR]

Background: Nipah virus (NiV) is a zoonotic pathogen that poses a significant threat because of its wide host range, multiple transmission modes, high transmissibility, and high mortality rates, affecting both human health and animal husbandry. In this study, we developed a one-step reverse transcription droplet digital PCR (RT-ddPCR) assay that targets the N gene of NiV. Results: Our RT-ddPCR assay exhibited remarkable sensitivity, with a lower limit of detection of 6.91 copies/reaction. Importantly, it displayed no cross-reactivity with the other 13 common viruses and consistently delivered reliable results with a coefficient of variation below 10% across different concentrations. To validate the effectiveness of our RT-ddPCR assay, we detected 75 NiV armored RNA virus samples, mimicking real-world conditions, and negative control samples, and the RT-ddPCR results perfectly matched the simulated results. Furthermore, compared with a standard quantitative real-time PCR (qPCR) assay, our RT-ddPCR assay demonstrated greater stability when handling complex matrices with low viral loads. Conclusions: These findings show that our NiV RT-ddPCR assay is exceptionally sensitive and provides a robust tool for quantitatively detecting NiV, particularly in stimulated field samples with low viral loads or complex matrices. This advancement has significant implications for early NiV monitoring, safeguarding human health and safety, and advancing animal husbandry practices. [ABSTRACT FROM AUTHOR]

Species of Saccharomyces genus have played an irreplaceable role in alcoholic beverage and baking industry for centuries. S. cerevisiae has also become an organism of choice for industrial production of alcohol and other valuable chemicals and a model organism shaping the rise of modern genetics and genomics in the past few decades. Today´s brewing industry faces challenges of decreasing consumption of traditional beer styles and increasing consumer demand for new styles, flavors and aromas. The number of currently used brewer's strains and their genetic diversity is yet limited and implementation of more genetic and phenotypic variation is seen as a solution to cope with the market challenges. This requires modification of current production strains or introduction of novel strains from other settings, e.g. industrial or wild habitats into the brewing industry. Due to legal regulation in many countries and negative customer perception of GMO organisms, the production of food and beverages requires non-GMO production organisms, whose development can be difficult and time-consuming. Here, we apply FIND-IT (Fast Identification of Nucleotide variants by DigITal PCR), an ultrafast genome-mining method, for isolation of novel yeast variants with varying flavor profiles. The FIND-IT method uses combination of random mutagenesis, droplet digital PCR with probes that target a specific desired mutation and a sub-isolation of the mutant clone. Such an approach allows the targeted identification and isolation of specific mutant strains with eliminated production of certain flavor and off-flavors and/or changes in the strain metabolism. We demonstrate that the technology is useful for the identification of loss-of function or gain of function mutations in unrelated industrial and wild strains differing in ploidy. Where no other phenotypic selection exists, this technology serves together with standard breeding techniques as a modern tool facilitating a modification of (brewer's) yeast strains leading to diversification of the product portfolio. • Mutagenesis and ddPCR allow for targeted mutant identification in brewer's yeast. • Modification of flavor profiles has been achieved in various industrial yeasts. • Heterothallic S. eubayanus strain facilitates development of novel lager hybrids. • Combination of the method with other non-GM techniques creates phenotypic diversity. • Method enables non-GMO engineering and improvement of brewing-related properties. [ABSTRACT FROM AUTHOR]

Edwardsiella tarda (E. tarda) can infect humans and a variety of animals, including fish, amphibians, reptiles, birds, and mammals. However, a more highly sensitive, specific, and repeatable test for its detection is lacking. The objective of this study was to develop a highly sensitive, specific, and repeatable droplet digital polymerase chain reaction (ddPCR)-based method for the quantitative detection of E. tarda. The gyrB gene was selected as the target gene, and primers and probe were designed and synthesized. Using E. tarda genomic DNA as templates, the reaction method was optimized to establish a linear relationship with realtime PCR detection methods. The sensitivity, specificity, and repeatability of the method were analyzed, and clinical samples were tested. When the primer and probe concentrations were 900 and 300 nM, respectively, and the annealing temperature was 57°C, the efficiency of the ddPCR amplification reaction was highest and the boundary between positive and negative droplet distribution was clearest. The sensitivity was high, with detection limit being as low as 0.56 copies·µL-1; additionally, and a good linear relationship (R² = 0.9962) between ddPCR and real-time PCR detection, within the range of 1-25,000 copies·µL-1, was evident. The repeatability was good, with a detection coefficient of variation of 2.74%. There was no cross-reactivity with 15 other common pathogenic microorganisms in aquatic animals (Streptococcus agalactiae, Streptococcus iniae, Streptococcus suis type 2, Nocardia seriolae, Vibrio parahaemolyticus, Aeromonas sobria, red sea bream iridovirus, decapod iridescent virus 1, enterocytozoon hepatopenaei, carp edema virus, Koi herpesvirus, goldfish hematopoietic necrosis virus, tilapia lake virus, viral nervous necrosis virus, or grass carp reovirus) in positive samples. Among the 48 clinical samples, including Bahaba taipingensis and its live food fish, pond water samples, and routine monitoring samples (Koi), 21 were positive for E. tarda, consistent with the bacterial isolation and identification results. The E. tarda ddPCR detection method has high specificity, sensitivity, and repeatability, can more accurately quantify E. tarda, and provides a useful reference for research related to this bacterium. [ABSTRACT FROM AUTHOR]

Usher syndrome (USH) is an inherited disorder characterized by sensorineural hearing loss (SNHL), retinitis pigmentosa (RP)-related vision loss, and vestibular dysfunction. USH presents itself as three distinct clinical types, 1, 2, and 3, with no biomarker for early detection. This study aimed to explore whether microRNA (miRNA) expression in USH cell lines is dysregulated compared to the miRNA expression pattern in a cell line derived from a healthy human subject. Lymphocytes from USH patients and healthy individuals were isolated and transformed into stable cell lines using Epstein–Barr virus (EBV). DNA from these cell lines was sequenced using a targeted panel to identify gene variants associated with USH types 1, 2, and 3. Microarray analysis was performed on RNA from both USH and control cell lines using NanoString miRNA microarray technology. Dysregulated miRNAs identified by the microarray were validated using droplet digital PCR technology. DNA sequencing revealed that two USH patients had USH type 1 with gene variants in USH1B (MYO7A) and USH1D (CDH23), while the other two patients were classified as USH type 2 (USH2A) and USH type 3 (CLRN-1), respectively. The NanoString miRNA microarray detected 92 differentially expressed miRNAs in USH cell lines compared to controls. Significantly altered miRNAs exhibited at least a twofold increase or decrease with a p value below 0.05. Among these miRNAs, 20 were specific to USH1, 14 to USH2, and 5 to USH3. Three miRNAs that are known as miRNA-183 family which are crucial for inner ear and retina development, have been significantly downregulated as compared to control cells. Subsequently, droplet digital PCR assays confirmed the dysregulation of the 12 most prominent miRNAs in USH cell lines. This study identifies several miRNA signatures in USH cell lines which may have potential utility in Usher syndrome identification. [ABSTRACT FROM AUTHOR]

Background: DNA methylation showed notable potential to act as a diagnostic marker in many cancers. Many studies proposed DNA methylation biomarker in OSCC detection, while most of these studies are limited to specific cohorts or geographical location. However, the generalizability of DNA methylation as a diagnostic marker in oral cancer across different geographical locations is yet to be investigated. Methods: We used genome-wide methylation data from 384 oral cavity cancer and normal tissues from TCGA HNSCC and eastern India. The common differentially methylated CpGs in these two cohorts were used to develop an Elastic-net model that can be used for the diagnosis of OSCC. The model was validated using 812 HNSCC and normal samples from different anatomical sites of oral cavity from seven countries. Droplet Digital PCR of methyl-sensitive restriction enzyme digested DNA (ddMSRE) was used for quantification of methylation and validation of the model with 22 OSCC and 22 contralateral normal samples. Additionally, pyrosequencing was used to validate the model using 46 OSCC and 25 adjacent normal and 21 contralateral normal tissue samples. Results: With ddMSRE, our model showed 91% sensitivity, 100% specificity, and 95% accuracy in classifying OSCC from the contralateral normal tissues. Validation of the model with pyrosequencing also showed 96% sensitivity, 91% specificity, and 93% accuracy for classifying the OSCC from contralateral normal samples, while in case of adjacent normal samples we found similar sensitivity but with 20% specificity, suggesting the presence of early disease methylation signature at the adjacent normal samples. Methylation array data of HNSCC and normal tissues from different geographical locations and different anatomical sites showed comparable sensitivity, specificity, and accuracy in detecting oral cavity cancer with across. Similar results were also observed for different stages of oral cavity cancer. Conclusions: Our model identified crucial genomic regions affected by DNA methylation in OSCC and showed similar accuracy in detecting oral cancer across different geographical locations. The high specificity of this model in classifying contralateral normal samples from the oral cancer compared to the adjacent normal samples suggested applicability of the model in early detection. [ABSTRACT FROM AUTHOR]

Background: The CDKN2A gene is frequently affected by somatic copy number variations (SCNVs, including deletions and amplifications [SCNdel and SCNamp]) in the cancer genome. Using surgical gastric margin tissue samples (SMs) as the diploid reference in SCNV analysis via CDKN2A/P16-specific real-time PCR (P16-Light), we previously reported that the CDKN2A SCNdel was associated with a high risk of metastasis of gastric carcinoma (GC). However, the status of CDKN2A SCNVs in SMs and their clinical significance have not been reported. Methods: Peripheral white blood cell (WBC) and frozen GC and SM tissue samples were collected from patients (n = 80). Droplet digital PCR (ddPCR) was used to determine the copy number (CN) of the CDKN2A gene in tissue samples using paired WBCs as the diploid reference. Results: A novel P16-ddPCR system was initially established with a minimal proportion (or limit, 10%) of the detection of CDKN2A CN alterations. While CDKN2A SCNamp events were detected in both SMs and GCs, fewer CDKN2A SCNdel events were detected in SMs than in GCs (15.0% vs. 41.3%, P = 4.77E-04). Notably, significantly more SCNamp and fewer SCNdel of the CDKN2A gene were detected in SMs from GC patients without metastasis than in those from patients with lymph node metastasis by P16-ddPCR (P = 0.023). The status of CDKN2A SCNVs in SM samples was significantly associated with overall survival (P = 0.032). No cancer deaths were observed among the 11 patients with CDKN2A SCNamp. Conclusion: CDKN2A SCNVs in SMs identified by P16-ddPCR are prevalent and significantly associated with GC metastasis and overall survival. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

During the last few years, cell-free DNA (cfDNA) has emerged as a possible noninvasive biomarker for prediction of complications after lung transplantation. We previously published a proof-of-concept study using a digital droplet polymerase chain reaction (ddPCR)-based method for detection of cfDNA. In the current study, we aimed to further evaluate the potential clinical usefulness of detecting chronic lung allograft dysfunction (CLAD) using three different ddPCR applications measuring and calculating the donor fraction (DF) of cfDNA as well as one method using the absolute amount of donor-derived cfDNA. We analyzed 246 serum samples collected from 26 lung transplant recipients. Nine of the patients had ongoing CLAD at some point during follow-up. All four methods showed statistically significant elevation of the measured variable in the CLAD samples compared to the non-CLAD samples. The results support the use of ddPCR-detected cfDNA as a potential biomarker for prediction of CLAD. These findings need to be validated in a subsequent prospective study. [ABSTRACT FROM AUTHOR]

Accurate and early diagnosis of monkeypox virus (MPXV) is crucial for controlling epidemics and treating affected individuals promptly. This study aimed to assess the analytical and clinical performance of the MolecisionTM Monkeypox Virus qPCR Assay, Biorain Monkeypox Virus ddPCR Assay, and MAGLUMI® Monkeypox Virus Ag (chemiluminescence immunoassay, CLIA) Assay. Additionally, it aimed to compare the clinical application of antigen and nucleic acid assays to offer insights into using commercial monkeypox assay kits. Specimens from 117 clinical patients, serial diluted virus cell culture supernatant, and artificially created positive samples were tested to evaluate the performance of these assay kits for MPXV diagnostics. The Biorain Monkeypox Virus ddPCR Assay had a limit of detection (LoD) of 3.89 CCID50/mL, while the MolecisionTM Monkeypox Virus qPCR Assay had an LoD of 15.55 CCID50/mL. The MAGLUMI® Monkeypox Virus Ag (CLIA) Assay had an LoD of 0.500 pg/mL. The accuracy of the MolecisionTM Monkeypox Virus qPCR Assay was comparable to the Biorain Monkeypox Virus ddPCR Assay, and the MAGLUMI® Monkeypox Virus Ag (CLIA) Assay demonstrated high sensitivity. The specificity of all three MPXV diagnostic assays for clinical specimens with potential cross-reacting substances was 100%. In conclusion, this study provides valuable insights into the clinical application of monkeypox assays, supporting efforts to mitigate and control the spread of monkeypox. [ABSTRACT FROM AUTHOR]

The ongoing COVID-19 pandemic, caused by the rapid global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since early 2020, has highlighted the need for sensitive and reliable diagnostic methods. Droplet digital PCR (ddPCR) has demonstrated superior performance over the gold-standard reverse transcription PCR (RT-PCR) in detecting SARS-CoV-2. In this study, we explored the development of a multiplex ddPCR assay that enables sensitive quantification of SARS-CoV-2, which could be utilized for antiviral screening and the monitoring of COVID-19 patients. We designed a quadruplex ddPCR assay targeting four SARS-CoV-2 genes and evaluated its performance in terms of specificity, sensitivity, linearity, reproducibility, and precision using a two-color ddPCR detection system. The results showed that the quadruplex assay had comparable limits of detection and accuracy to the simplex ddPCR assays. Importantly, the quadruplex assay demonstrated significantly improved performance for samples with low viral loads and ambiguous results compared to the standard qRT-PCR approach. The developed multiplex ddPCR represents a valuable alternative and complementary tool for the diagnosis of SARS-CoV-2 and potentially other pathogens in various application scenarios beyond the current COVID-19 pandemic. The improved sensitivity and reliability of this assay could contribute to more effective disease monitoring and antiviral screening during the ongoing public health crisis. [ABSTRACT FROM AUTHOR]

Background: Human infection with Ureaplasma urealyticum(UU) is mainly manifested as non-gonococcal urethritis, where it can lead to cervicitis, premature rupture of membranes and abortion in women, as well as infertility in males, which becomes a major problem in clinical diagnosis and treatment. At present, real-time fluorescence quantitative PCR and culture are the two main methods for detecting UU. The real-time fluorescence quantitative PCR method is cumbersome and cannot accomplish absolute quantification on nucleic acids, while the cultivation method has limitations such as low sensitivity and being time-consuming. The aim of this study is to establish a more rapid and accurate droplet digital PCR(ddPCR) method for the detection of UU. Methods: Primers were designed for the ParC gene of UU. Nucleic acids from a standard strain of UU were extracted. Specificity, sensitivity, and repeatability detection was performed using ddPCR, and the detection performance of ddPCR was evaluated. Results: The detection process could be completed in 92 min. It has a high sensitivity of up to 3.8 pg/μL. With a high specificity, no positive microdrop were detected in eight negative control pathogens in this experiment. In addition, ddPCR detection of UU has good repeatability, and the calculated CV is 2.1 %. Conclusion: Our data indicated that ddPCR detection technology has the characteristics of absolute quantification, high stability, high specificity and high sensitivity of UU. It can promote the accurate detection of UU, providing a more scientific basis for clinical diagnosis and treatment.

Phaeomoniella chlamydospora (Pch) is one of the main pathogens causing Petri disease, a grapevine trunk disease responsible for the decline and mortality of grapevines within a few years after planting. Phaeomoniella chlamydospora has been shown to be prevalent in asymptomatic grapevine nursery material, leading to the hypothesis that it may act as a latent pathogen, transitioning from an endophytic to a pathogenic phase under grapevine stress. To investigate this hypothesis, a two-year greenhouse and a four-year field experiment were conducted on young self-rooted ‘Merlot’, and ‘Merlot’ grafted onto ‘SO4’ rootstock, artificially inoculated with different spore concentrations of Pch and subjected to water stress. Additionally, the arbuscular mycorrhizal (AM) fungus Rhizophagus irregularis was inoculated in the soil in the greenhouse experiment to investigate its effects on abiotic stress mitigation and thus, disease development in water stressed and non-stressed grapevines. DNA was extracted from the grapevine wood, and Droplet Digital™ PCR was conducted to determine Pch abundance before and after the experiments. In the greenhouse, Pch abundance in inoculated grapevines was greater in water stressed grapevines treated with AM than in stressed grapevines without AM or in non-stressed grapevines. Basal necrosis was greater in grapevines inoculated with Pch. In the field, Pch abundance was not affected by water stress, but basal necrosis was greater in grapevines inoculated with a high spore concentration of the fungus. Symptoms resembling Petri disease developed in the third year of the field experiment, where water stress increased grapevine mortality. This study shows that water stress may increase Pch abundance and mortality in young grapevines within the first few years after planting.

This paper reported a novel approach to quantification of adulterated fox-derived components in meat products by drop digital polymerase chain reaction (ddPCR). By using the F2 gene as the target gene of fox, a single primer was designed to identify the adulteration that had been added either inadvertently or deliberately during the process. In this paper, the fox meat was used as the experimental materials and a relationship was established between fox mass and copy number by extracting DNA and using DNA concentration as an intermediary. The results that across the dynamic range, the relationships between meat mass and DNA concentration were nearly linear (R2 = 0.9986), as was the relationship between DNA concentration and DNA copy number (R2 = 0.9992). Based on the DNA concentration, the following formulas were developed about the relationship between fox meat mass (Mfox) and DNA copy number (C): Mfox = 0.05C + 2.7.

ABSTRACT The objective of this study was to establish a more sensitive and specific diagnostic method for detecting plasma BK polyomavirus (BKPyV) DNA load in patients after renal transplantation using droplet digital polymerase chain reaction (ddPCR) and to validate the methodology. The linear range, lower limit of detection, accuracy, precision, and specificity of the detection system were evaluated by using the WHO BKPyV standard (7.2 log10 IU/mL) as a reference, in accordance with the relevant documents of the Clinical and Laboratory Standards Institute. Plasma samples were collected from 74 renal transplantation patients with urinary BKPyV-DNA levels exceeding 7 log10 copies/mL. Quantitative PCR (qPCR) and ddPCR were performed, and their diagnostic efficacy for BKPyV-DNA in the diagnosis of BK polyomavirus-associated nephropathy was evaluated using a receiver operating characteristic (ROC) curve. The coefficients of variation for the repeated detection of BKPyV standard DNA were 2.55 and 4.71 at concentrations of 6.2 and 3.2 log10 IU/mL, respectively. The linear range was 2.2–6.2 log10 IU/mL, and the lowest detection limit was 100 IU/mL. By utilizing histopathological examination of renal biopsy as the gold standard for BKPyV diagnosis, the area under the ROC curve of 74 post-transplantation plasma samples detected by the ddPCR system was found to be 0.875 (95% CI: 0.797–0.953, P < 0.01). The optimal threshold was 512.86 copies/mL, with a sensitivity of 90.0% and a specificity of 67.6%. In comparison, the area under the ROC curve for qPCR was 0.668 (95% CI: 0.583–0.752, P < 0.01), with an optimal threshold of 11,481.54 copies/mL, a sensitivity of 35.0%, and a specificity of 100.0%. Pairwise comparison (Delong test) of the ROC curves of the two systems showed a significant difference in the area under the curve, with a difference of 0.207 and a P-value

In most people living with HIV (PLWH) on effective antiretroviral therapy (ART), cell-associated viral transcripts are readily detectable in CD4+ T cells despite the absence of viremia. Quantification of HIV RNA species provides insights into the transcriptional activity of proviruses that persist in cells and tissues throughout the body during ART (HIV reservoir). One such technique for HIV RNA quantitation, HIV transcription profiling, developed in the Yukl laboratory, measures a series of HIV RNA species using droplet digital PCR. To take advantage of advances in digital (d)PCR, we adapted the HIV transcription profiling technique to Qiagens dPCR platform (QIAcuity) and compared its performance to droplet digital (dd)PCR (Bio-Rad QX200 system). Using RNA standards, the two technologies were tested in parallel and assessed for multiple parameters including sensitivity, specificity, linearity, and intra- and inter-assay variability. The newly validated dPCR assays were then applied to samples from PLWH to determine HIV transcriptional activity relative to HIV reservoir size. We report that HIV transcriptional profiling was readily adapted to dPCR and assays performed similarly to ddPCR, with no differences in assay characteristics. We applied these assays in a cohort of 23 PLWH and found that HIV reservoir size, based on genetically intact proviral DNA, does not predict HIV transcriptional activity. In contrast, levels of total DNA correlated with levels of most HIV transcripts (initiated, proximally and distally elongated, unspliced, and completed, but not multiply spliced), suggesting that a considerable proportion of HIV transcripts likely originate from defective proviruses. These findings may have implications for measuring and assessing curative strategies and clinical trial outcomes.

Wastewater-based epidemiology (WBE) is a valuable disease surveillance tool. However, little is known on how factors such as transportation, storage, and wastewater characteristics influence the accuracy of the quantification methods. Hence, this study investigated the impact of storage temperatures and physicochemical characteristics of wastewater on SARS-CoV-2 and influenza A stability using droplet digital PCR. Additionally, strategies to enhance viral recovery were explored. Municipal influent wastewater stored between ±25 and −80 °C was assessed for a period of 84 days to determine viral degradation. Degradation up to 94.1% of influenza A and SARS-CoV-2 was observed in all samples with the highest at ±25 °C. Viral degradation was correlated to the changes in wastewater physicochemical characteristics. The low degradation observed of SARS-CoV-2 in the spiked pellets were indicative of viral adhesion to wastewater solids, which correlated with changes in pH. Ultrasonication frequencies ranging from 4 to 16 kHz, increased SARS-CoV-2 concentrations in the supernatant between 3.30 and 35.65%, indicating viral RNA attachment to wastewater solids. These results highlight the importance of additional pretreatment methods for maximizing RNA recovery from wastewater samples. Based on these findings, it was deduced that wastewater preservation studies are essential, and pretreatment should be included in the WBE methodology. HIGHLIGHTS SARS-CoV-2 and influenza A degradation observed at all storage temperatures.; Changes in physicochemical characteristics influenced viral degradation.; pH influenced viral affinity for wastewater solids.; Ultrasonication led to the detachment of SARS-CoV-2 from wastewater solids, increasing concentrations by up to 35.65%.;

Introduction: Chronic intestinal failure patients (CIF) require a central venous access device (CVAD) to administer parenteral nutrition. Most serious complication related to a CVAD is a central line-associated bloodstream infection (CLABSI). The golden standard to diagnose a CLABSI are blood cultures, however, they may require 1–5 days before getting a result. Droplet digital polymerase chain reaction (ddPCR) for the detection of pathogen 16S/28S rRNA is a novel culture-independent molecular technique that has been developed to enhance and expedite infection diagnostics within two and a half hours. In this study, we prospectively compared ddPCR with blood cultures to detect pathogens in whole blood. Methods: We included adult CIF patients with a clinical suspicion of CLABSI in this prospective single-blinded clinical study. Blood cultures were routinely collected and subsequently two central samples from the CVAD and two peripheral samples from a peripheral venous access point. Primary outcome was the sensitivity and specificity of ddPCR. Results: In total, 75 patients with 126 suspected CLABSI episodes were included, with 80 blood samples from the CVAD and 114 from peripheral veins. The central ddPCR samples showed a sensitivity of 91% (95%CI 77–98), and specificity of 96% (95%CI 85–99). Peripheral ddPCR samples had a sensitivity of 63% (95%CI 46–77) and specificity of 99% (95%CI 93–100). Conclusion: ddPCR showed a high sensitivity and specificity relative to blood cultures and enables rapid pathogen detection and characterization. Clinical studies should explore if integrated ddPCR and blood culture outcomes enables a more rapid pathogen guided CLABSI treatment and enhancing patient outcomes.

Abstract Identifying novel epigenetic biomarkers is a promising way to improve the clinical management of patients with breast cancer. Our study aimed to determine the methylation pattern of 25 tumor suppressor genes (TSG) and select the best methylation biomarker associated with clinicopathological features in the cohort of Slovak patients diagnosed with invasive ductal carcinoma (IDC). Overall, 166 formalin-fixed, paraffin-embedded (FFPE) tissues obtained from patients with IDC were included in the study. The methylation status of the promoter regions of 25 TSG was analyzed using semiquantitative methylation-specific MLPA (MS-MLPA). We identified CDH13 as the most frequently methylated gene in our cohort of patients. Further analysis by ddPCR confirmed an increased level of methylation in the promoter region of CDH13. A significant difference in CDH13 methylation levels was observed between IDC molecular subtypes LUM A versus HER2 (P = 0.0116) and HER2 versus TNBC (P = 0.0234). In addition, significantly higher methylation was detected in HER2+ versus HER2- tumors (P = 0.0004) and PR− versus PR+ tumors (P = 0.0421). Our results provide evidence that alteration in CDH13 methylation is associated with clinicopathological features in the cohort of Slovak patients with IDC. In addition, using ddPCR as a methylation-sensitive method represents a promising approach characterized by higher precision and technical simplicity to measure the methylation of target CpGs in CDH13 compared to other conventional methods such as MS-MLPA.

With a reduction in available chemical treatments, there is an increased interest in biological control of grapevine trunk diseases. Few studies have investigated the impact of introducing beneficial microorganisms in the rhizosphere on the existing indigenous soil microbiome. In this study, we explored the effect of two biocontrol agents (BCAs), Trichoderma atroviride SC1 (Ta SC1) (Vintec; Certis Belchim) and Bacillus subtilis PTA-271 (Bs PTA-271), on the grapevine rhizosphere bacterial and fungal microbiome as well as plant defense expression using high-throughput amplicon sequencing and quantitative real-time polymerase chain reaction (PCR), respectively. Additionally, we quantified both Ta SC1 and Bs PTA-271 in the rhizosphere over time using droplet digital PCR. The fungal microbiome was more affected by factors such as soil type, BCA treatment, and sampling time compared with the bacterial microbiome. Specifically, Ta SC1 application produced negative impacts on fungal diversity, whereas application of BCAs did not affect bacterial diversity. Interestingly, the survival and establishment of both BCAs showed opposite trends depending on the soil type, indicating that the physicochemical properties of soils have a role in BCA establishment. Fungal co-occurrence networks were less complex than bacterial networks but highly impacted by Ta SC1 application. Soils treated with Ta SC1 presented more complex and stable co-occurrence networks, with a higher number of positive correlations. Induced grapevine defenses also differed according to the soil, being more affected by BCA inoculation on sandy soil. The findings of this research emphasize the complex relationships among microorganisms in the rhizosphere and highlight the significance of taking into account various factors, such as soil type, sampling time, and BCA treatment, and their influence on the structure and dynamics of microbial communities.

Abstract Background Extracellular mitochondrial DNA (mtDNA) is released from damaged cells and increases in the serum and bronchoalveolar lavage fluid (BALF) of idiopathic pulmonary fibrosis (IPF) patients. While increased levels of serum mtDNA have been reported to be linked to disease progression and the future development of acute exacerbation (AE) of IPF (AE-IPF), the clinical significance of mtDNA in BALF (BALF-mtDNA) remains unclear. We investigated the relationships between BALF-mtDNA levels and other clinical variables and prognosis in IPF. Methods Extracellular mtDNA levels in BALF samples collected from IPF patients were determined using droplet-digital PCR. Levels of extracellular nucleolar DNA in BALF (BALF-nucDNA) were also determined as a marker for simple cell collapse. Patient characteristics and survival information were retrospectively reviewed. Results mtDNA levels in serum and BALF did not correlate with each other. In 27 patients with paired BALF samples obtained in a stable state and at the time of AE diagnosis, BALF-mtDNA levels were significantly increased at the time of AE. Elevated BALF-mtDNA levels were associated with inflammation or disordered pulmonary function in a stable state (n = 90), while being associated with age and BALF-neutrophils at the time of AE (n = 38). BALF-mtDNA ≥ 4234.3 copies/µL in a stable state (median survival time (MST): 42.4 vs. 79.6 months, p

Ciming Wu,1,&ast; Ming Ling,2,&ast; Qiong Chen,3 Hui Chai,1 Huan Chen1,4 1Zhejiang Chinese Medical University, College of Life Science, Hangzhou, Zhejiang, 310012, People’s Republic of China; 2Jinhua Institute for Food and Drug Control, Jinhua, Zhejiang, People’s Republic of China; 3Hangzhou First People’s Hospital, Hangzhou, Zhejiang, People’s Republic of China; 4Hangzhou Digital-Micro Biotech Co, Ltd, Hangzhou, Zhejiang, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Huan Chen; Hui Chai, Email chenhuan7809@gmail.com; christychai@zcmu.edu.cnAbstract: Methicillin-resistant Staphylococcus aureus (MRSA) is a predominant nosocomial infection-causing bacteria. The aim of this study was to develop a novel single-bacteria multiplex digital PCR assays (SMD-PCR), which is capable of simultaneously detecting and discriminating Methicillin-sensitive Staphylococcus aureus (MSSA) and MRSA. This protocol employed TaqMan probes to detect SAOUHSC_00106 and mecA genes, with the latter being linked to methicillin resistance. A total of 72 samples from various specimen types were evaluated. The accuracy rates for the sputum samples, pus samples, swab samples, ear secretion samples, and catheter samples were 94.44%, 100%, 92%, 100%, and 100%, respectively. Our results showed that the clinical practicability of SMD-PCR has applicability to the rapid detection of MRSA without DNA extraction or bacterial culture, and can be utilized for the rapid detection of Staphylococcus aureus and the timely identification of MRSA in clinical samples, thereby providing an advanced platform for the rapid diagnosis of clinical MRSA infection.Keywords: MSSA, MRSA, droplet digital PCR, SMD-PCR

Vibrio vulnificus poses a significant risk to public health due to its high pathogenicity and mortality rates as a common seafood-borne pathogen. Therefore, rapid, accurate, and specific detection methods for V. vulnificus are crucial for ensuring human safety and minimizing economic losses. This study identified vvhA and vv08030 as promising targets for V. vulnificus detection using bioinformatics screening and PCR analysis. Based on these specific target genes, a duplex real-time PCR (qPCR) assay and a duplex droplet digital PCR (ddPCR) assay were developed and evaluated for the rapid quantitative detection of V. vulnificus. These methods showed 100% specificity to V. vulnificus and no cross-reaction with other strains. It was proved in this research that the qPCR method can detect genomic DNA as low as 31.4 fg/μL, and the quantification range of the bacterial suspension was between 8.25 × 102 and 8.25 × 107 CFU/mL. On the other hand, ddPCR exhibited greater sensitivity with genomic sensitivity reaching 3.14 fg/μL and could accurately quantify bacterial suspensions between 8.25 × 101–8.25 × 105 CFU/mL. The feasibility of the ddPCR method in detecting V. vulnificus was assessed in spiked food samples. The lowest detectable V. vulnificus in salmon was 5.74 × 101 CFU/g without any pre-enrichment. These methods demonstrated high sensitivity, accuracy and rapidity, with potential applications in V. vulnificus detection strategies. [ABSTRACT FROM AUTHOR]

Identifying novel epigenetic biomarkers is a promising way to improve the clinical management of patients with breast cancer. Our study aimed to determine the methylation pattern of 25 tumor suppressor genes (TSG) and select the best methylation biomarker associated with clinicopathological features in the cohort of Slovak patients diagnosed with invasive ductal carcinoma (IDC). Overall, 166 formalin-fixed, paraffin-embedded (FFPE) tissues obtained from patients with IDC were included in the study. The methylation status of the promoter regions of 25 TSG was analyzed using semiquantitative methylation-specific MLPA (MS-MLPA). We identified CDH13 as the most frequently methylated gene in our cohort of patients. Further analysis by ddPCR confirmed an increased level of methylation in the promoter region of CDH13. A significant difference in CDH13 methylation levels was observed between IDC molecular subtypes LUM A versus HER2 (P = 0.0116) and HER2 versus TNBC (P = 0.0234). In addition, significantly higher methylation was detected in HER2+ versus HER2- tumors (P = 0.0004) and PR− versus PR+ tumors (P = 0.0421). Our results provide evidence that alteration in CDH13 methylation is associated with clinicopathological features in the cohort of Slovak patients with IDC. In addition, using ddPCR as a methylation-sensitive method represents a promising approach characterized by higher precision and technical simplicity to measure the methylation of target CpGs in CDH13 compared to other conventional methods such as MS-MLPA. [ABSTRACT FROM AUTHOR]

Background: Rapid and accurate diagnosis of the causative agents is essential for clinical management of bloodstream infections (BSIs) that might induce sepsis/septic shock. A considerable number of suspected sepsis patients initially enter the health-care system through an emergency department (ED), hence it is vital to establish an early strategy to recognize sepsis and initiate prompt care in ED. This study aimed to evaluate the diagnostic performance and clinical value of droplet digital PCR (ddPCR) assay in suspected sepsis patients in the ED. Methods: This was a prospective single-centered observational study including patients admitted to the ED from 25 October 2022 to 3 June 2023 with suspected BSIs screened by Modified Shapiro Score (MSS) score. The comparison between ddPCRand blood culture (BC)was performed toevaluate the diagnostic performance of ddPCR for BSIs. Meanwhile, correlative analysis between ddPCR and the inflammatory and prognostic-related biomarkers were conducted to explore the relevance. Further, the health economic evaluation of the ddPCR was analyzed. Results: 258 samples from 228 patients, with BC and ddPCR performed simultaneously, were included in this study. We found that ddPCR results were positive in 48.13% (103 of 214) of episodes, with identification of 132 pathogens. In contrast, BC only detected 18 positives, 88.89% of which were identified by ddPCR. When considering culture-proven BSIs, ddPCR shows an overall sensitivity of 88.89% and specificity of 55.61%, the optimal diagnostic power for quantifying BSI through ddPCR is achieved with a copy cutoff of 155.5. We further found that ddPCR exhibited a high accuracy especially in liver abscess patients. Among all the identified virus by ddPCR, EBV has a substantially higher positive rate with a link to immunosuppression. Moreover, the copies of pathogens in ddPCR were positively correlated with various markers of inflammation, coagulation, immunity as well as prognosis. With high sensitivity and specificity, ddPCR facilitates precision antimicrobial stewardship and reduces health care costs. Conclusions: The multiplexed ddPCR delivers precise and quantitative load data on the causal pathogen, offers the ability to monitor the patient's condition and may serve as early warning of sepsis in time-urgent clinical situations as ED. Importance: Early detection and effective administration of antibiotics are essential to improve clinical outcomes for those with life-threatening infection in the emergency department. ddPCR, an emerging tool for rapid and sensitive pathogen identification used as a precise bedside test, has developed to address the current challenges of BSI diagnosis and precise treatment. It characterizes sensitivity, specificity, reproducibility, and absolute quantifications without a standard curve. ddPCR can detect causative pathogens and related resistance genes in patients with suspected BSIs within a span of three hours. In addition, it can identify polymicrobial BSIs and dynamically monitor changes in pathogenic microorganisms in the blood and can be used to evaluate antibiotic efficacy and survival prognosis. Moreover, the copies of pathogens in ddPCR were positively correlated with various markers of inflammation, coagulation, immunity. With high sensitivity and specificity, ddPCR facilitates precision antimicrobial stewardship and reduces health care costs. [ABSTRACT FROM AUTHOR]

Gene therapy using lentiviral vectors (LVs) that harbor a functional β-globin gene provides a curative treatment for hemoglobinopathies including beta-thalassemia and sickle cell disease. Accurate quantification of the vector copy number (VCN) and/or the proportion of transduced cells is critical to evaluate the efficacy of transduction and stability of the transgene during treatment. Moreover, commonly used techniques for LV quantification, including real-time quantitative polymerase chain reaction (PCR) or fluorescence-activated cell sorting, require either a standard curve or expression of a reporter protein for the detection of transduced cells. In the present study, we describe a digital droplet PCR (ddPCR) technique to measure the lentiviral VCN in transduced hematopoietic stem and progenitor cells (HSPCs). After HSPCs were transduced with an LV encoding the therapeutic β-globin (βA-T87Q) gene, the integrated lentiviral sequence in the host genome was amplified with primers that targeted a sequence within the vector and the human RPP30 gene. The dynamic range of ddPCR was between 5 × 10−3 ng and 5 × 10−6 ng of target copy per reaction. We found that the ddPCR-based approach was able to estimate VCN with high sensitivity and a low standard deviation. Furthermore, ddPCR-mediated quantitation of lentiviral copy numbers in differentiated erythroblasts correlated with the level of βA-T87Q protein detected by reverse-phase high-performance liquid chromatography. Taken together, the ddPCR technique has the potential to precisely detect LV copy numbers in the host genome, which can be used for VCN estimation, calculation of infectious titer and multiplicity of infection for HSPC transduction in a clinical setting. [ABSTRACT FROM AUTHOR]

Summary: Quantifying the abundances of fungi is key to understanding natural variation in mycorrhizal communities in relation to plant ecophysiology and environmental heterogeneity. High‐throughput metabarcoding approaches have transformed our ability to characterize and compare complex mycorrhizal communities. However, it remains unclear how well metabarcoding read counts correlate with actual read abundances in the sample, potentially limiting their use as a proxy for species abundances.Here, we use droplet digital PCR (ddPCR) to evaluate the reliability of ITS2 metabarcoding data for quantitative assessments of mycorrhizal communities in the orchid species Neottia ovata sampled at multiple sites. We performed specific ddPCR assays for eight families of orchid mycorrhizal fungi and compared the results with read counts obtained from metabarcoding.Our results demonstrate a significant correlation between DNA copy numbers measured by ddPCR assays and metabarcoding read counts of major mycorrhizal partners of N. ovata, highlighting the usefulness of metabarcoding for quantifying the abundance of orchid mycorrhizal fungi. Yet, the levels of correlation between the two methods and the numbers of false zero values varied across fungal families, which warrants cautious evaluation of the reliability of low‐abundance families.This study underscores the potential of metabarcoding data for more quantitative analyses of mycorrhizal communities and presents practical workflows for metabarcoding and ddPCR to achieve a more comprehensive understanding of orchid mycorrhizal communities. [ABSTRACT FROM AUTHOR]

Achieving effective control over microbial contamination necessitates the precise and concurrent identification of numerous pathogens. As a common bacterium in the environment, Pseudomonas is rich in variety. It not only has pathogenic strains, but also spoilage bacteria that cause food spoilage. In this research, we devised a remarkably sensitive duplex droplet digital PCR (dddPCR) reaction system to simultaneously detect pathogenic Pseudomonas aeruginosa (P. aeruginosa) and spoilage Pseudomonas fragi (P. fragi). By employing comparative genomics, we identified four genes of P. fragi. Through a specific analysis, the RS22680 gene was selected as the detection target for P. fragi, and the lasR gene was chosen for P. aeruginosa, which were applied to construct a dddPCR reaction. In terms of specificity, sensitivity and anti-interference ability, the constructed dddPCR detection system was verified and analyzed. The assay showed excellent sensitivity and applicability, as evidenced by a limit of detection of 100 cfu/mL. When the concentration of natural background bacteria in milk or fresh meat was 100 times that of the target detection bacteria, the method was still capable of completing the absolute quantification. In the simulation of actual sample contamination, P. aeruginosa could be detected after 3 h of enrichment culture, and P. fragi could be detected after 6 h. The established dddPCR detection system exhibits exceptional performance, serving as a foundation for the simultaneous detection of various pathogenic bacteria in food products. [ABSTRACT FROM AUTHOR]