Standard PCR Research Articles

Virulence and Antimicrobial Resistance Patterns of Salmonella spp. Recovered From Migratory and Captive Wild Birds.

Salmonella spp., especially those are resistant to extended-spectrum β-lactamase (ESBL), are considered as major concern to global health due to their emergence and dissemination. The aim of this study was to investigate the virulence and antimicrobial resistance (AMR) profile of Salmonella spp. from migratory and captive wild birds. A total 262 faecal samples were collected, and the identification of Salmonella spp. was carried out using a standard culture and PCR as well as molecular detection of virulence and AMR genes. The overall prevalence of Salmonella was determined to be 30.92% (95% CI = 25.63-36.75). Migratory birds exhibited highest prevalence (38.10%), whereas wild birds in captivity showed a lower prevalence (23.40%). The agfA gene was detected at a higher rate at 24.69%. Salmonella spp. exhibited 100% resistance to tetracycline, followed by 58% ampicillin and 46% streptomycin. In addition, there was a resistance rate to ceftriaxone of 17% and to colistin sulphate of 25%. Interestingly, levofloxacin alone displayed 100% sensitivity across all isolates, while ciprofloxacin and azithromycin showed 73% and 64% sensitivity, respectively. The MAR index was 0.25 and 0.42, and 74.07% of all isolates showed multidrug resistance (MDR). It was shown that migratory and captive wild birds contained ESBL genes blaTEM (94.34% and 49.06%) and blaSHV (13.33% and 10%), respectively. Genes responsible for sulphonamide (sul1) resistance were detected in 13.33% and 79% of wild and migratory birds, respectively. Salmonella has been found in captive wild and migratory birds and could act as reservoirs for the transmission of MDR and ESBL bacteria.

A simple, cost-effective, and efficient method for screening CRISPR/Cas9 mutants in plants

The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9)-mediated genome editing system is widely used for targeted mutagenesis in a growing number of plant species. To streamline the screening process for mutants, especially those generated from low-efficiency editing events, there is a need for a rapid, cost-effective, and efficient method. Although several screening methods have been developed to process initial samples, these methods often tend to be time-consuming, expensive, or inefficient when dealing with larger sample sizes. Here we describe a simple, rapid, low-cost, and sensitive screening method for screening CRISPR/Cas9 mutants called PCR-Bsl I-associated analysis (PCR-BAA). This method requires only standard PCR and Bsl I restriction enzyme digestion, as well as agarose gel electrophoresis analysis. This method is particularly well suited for the efficient screening of mutants from larger populations of transformants. The simplicity, low cost, and high sensitivity of the PCR-BAA method make it particularly suitable for rapid screening of CRISPR/Cas9-induced mutants, especially those from low-efficiency editing events.

Microsphere integrated convective amplification sensor for all-in-one-pot detection of Mycoplasma pneumoniae

The integration of isothermal amplification with CRISPR-Cas systems play a crucial role in the point-of-care test of infectious pathogens, owing to their specificity, sensitivity, and portability. However, these systems lack rigorous internal amplification control for monitoring false negatives and rely on carefully designed guide sequences, which barriers to their further promotion and application. Additionally, the complexity of sample purification and the laborious preparation of liquid reagents significantly limit these systems to ready-to-use and direct sample-to-answer detection in on-site diagnosis. Here, we combined ready-to-use lyophilized microsphere, thermal lysis of pathogens, guide-sequence-independent convective amplification, internal amplification control for monitoring negative false and a portable multi-channel instrument to develop a microsphere integrated convective amplification sensor (MICASOR) system for on-site detection. MICASOR integrated the overall workflow of DNA testing into one-pot to achieve all-in-one-pot detection for on-site diagnosis. MICASOR is a rapid, potable, ready-to-use and guide-sequence-independent platform and can monitor false negatives. MICASOR can detect as low as 1 copy/μL of clinical samples of Mycoplasma pneumoniae within 15 minutes. Validated by 30 real clinical samples, MICASOR showed 100 % agreement with gold standard real-time PCR. These results suggest that MICASOR has great potential to promote the control of infectious diseases in the outpatients, communities and poor resource areas.

Identification of a new Clostridium perfringens variant with a chromosomally encoded enterotoxin gene in a suspected persistent food poisoning outbreak in Eritrea.

Clostridium perfringens is a causative agent of various human and animal enteric diseases including food poisoning. In this study, we describe an interesting case of a persistent food poisoning outbreak among Finnish peacekeepers in Eritrea, possibly caused by Clostridium perfringens carrying a new variant of the chromosomally encoded enterotoxin gene. C. perfringens strains causing food poisoning carry the enterotoxin gene, cpe, in its chromosome (c-cpe) or on a plasmid (p-cpe). PCR assays are widely used for toxinotype C. perfringens strains. The integration sites for the cpe gene are highly conserved, and PCR assays targeting the cpe gene and the adjacent IS elements (the IS1470 in c-cpe and the IS1470-like or IS1151 in p-cpe strains) are used to further determine the genetic location of the cpe gene. We sequenced nine enteropathogenic C. perfringens strains related to a persistent food poisoning outbreak among Finnish peacekeepers in Eritrea. Six of these strains produced non-typeable cpe results in the standard PCR assay due to divergence in the enterotoxin integration site. The gene order of the new variant of the chromosomal cpe insertion site with an additional IS1470 element impairing genotyping PCR assay for the location of cpe is described. In addition, variant c-cpe strains carried 58-81 copies of IS1470 in their genomes, compared to 9-23 copies found in previously described c-cpe strains. Thus, the present study represents an untraditional type of C. perfringens food poisoning caused by variant c-cpe strains, and the sequenced strains bring geographic variation to the existing strain collection of sequenced C. perfringens.

B-217 Effective Diagnostic Platform and Method to Differentiate the Infectious From Non-Infectious Viruses With Nucleic Acid Detection Workflow

Abstract Background While qPCR has demonstrated high sensitivity, specificity, and ability to deliver reliable quantitative data in clinical samples, such results do not differentiate between infectious and non-infectious viral particles. In view of the principle of the qPCR method itself, the amplification detects the nucleic acid (DNA/RNA) of the virus, not the virus itself. In many cases, it is still possible to detect DNA/RNA fragments from dead viruses in recovered patients, while they are not infectious anymore. This will lead to prolonged quarantine period or treatment for the patients, which could cause great psychological pressure to the patients and increased healthcare burden. Therefore, an effective detection method that can discriminate viable and inviable pathogens is of great significance. Methods SARS-CoV2 viral RNA, SARS-CoV-2 viruses, or clinical samples with SARS-CoV2 infection were diluted in Delta MTM (Molecular Transport Media) to the respective testing concentrations. The samples were incubated with intercalating dye (PMAxx 100nM) with or without Triton X-100 for 10 min. The mixture was then exposed to the photo-activation device for 5-15 min (@ temperature below 37° C). The samples were then subjected to the standard nucleic acid extraction & purification steps with Qiagen viral RNA extraction kit. The extracted RNA was subjected to amplification with SARS-CoV2 Resolute 2.0 & Fortunate 2.1 assays on BioRAD CFX96. Results The viability PCR (vPCR) efficiency was almost 100% for all SARS-CoV2 RNA input tested suggesting that without viral membrane protection, PMAxx dye effectively bound to the naked RNA after photoactivation process, and the bound RNA was not able to be amplified. The vPCR efficiency was further enhanced with addition of surfactant Triton X-100 suggesting the improved permeability of dye through the viral envelope facilitated the PMAxx binding to the nucleic acid. COVID19 positive clinical samples with viral load ≈ Ct 30 treated with or without PMAxx and photo-activation procedures showed distinctive ΔCt value ranging from 9.27±0.18 to 15.01±0.14. The Ct after dye treatment were all non-numeric (non-detectable) if cut-off Ct sets @ 42.0, indicating the complete inhibition after vPCR pretreatment. Since the clinical samples were undergone heat-inactivation pre-treatment, the result shown here indicating that all samples were non-infectious, which was consistent with the samples tested. Conclusions We developed an effective viability PCR detection method and proprietary vPCR device, which was specifically designed for effective dye photo-activation. In addition, the method takes less than 15 min and could be integrated into the existing standard nucleic acid extraction and amplification workflow. Comparing to the standard PCR test result, this method could provide the information not only on the positivity of the tested pathogen, but also its viability, which could be very essential information for public surveillance and diagnostic decisions for healthcare providers.

Gene-environment interactions and colorectal cancer risk: A case-control study on xenobiotic metabolizing enzyme polymorphisms in the Jammu& Kashmir, India population

BackgroundCancer remains a significant global health concern, with colorectal cancer (CRC) showing a rising incidence, particularly among younger populations. Most CRC cases are linked to a complex interplay of genetic and environmental factors. The cytochrome P450 (CYP) superfamily, including enzymes like CYP2A13 and CYP2A6, plays a vital role in metabolizing environmental carcinogens such as polycyclic aromatic hydrocarbons (PAHs) and nitrosamines. Polymorphisms in these genes, alongside phase II glutathione-S-transferases (GSTs) involved in detoxification, can influence individual cancer risk. This study focuses on the association between these genetic polymorphisms and CRC risk in the Jammu & Kashmir, population, a region with high exposure to dietary and lifestyle-related carcinogens. MethodologyThis hospital-based case-control study was conducted at the Sher-I-Kashmir Institute of Medical Sciences (SKIMS), Srinagar, J&K, India between March 2019 and March 2022. The study included 246 histopathologically confirmed colorectal cancer (CRC) cases, and an equal number of matched controls based on age (±5 years), gender, and place of residence. Blood samples were collected for DNA extraction, followed by genotyping of xenobiotic-metabolizing enzyme (XME) genes, including CYP2A13, CYP2A6, and GSTs using standard PCR-RFLP and multiplex PCR methods. Statistical analyses were performed using STATA software to assess the association between gene polymorphisms and CRC risk. ResultsThe study revealed key associations between genetic and environmental factors and CRC risk. The analysis demonstrated that cases had significantly lower education levels than controls. Family history of cancer, smoking, and dietary factors like red meat and salt tea consumption were more prevalent among cases. Genetic analysis identified significant interactions between various CYP and GST genotypes, and environmental factors such as smoking, pesticide exposure, and diet, with varying effects on CRC risk. ConclusionThe research underscores the influence of genetic and environmental factors on colorectal cancer (CRC) risk. Lower educational was associated with a heightened risk of CRC. Certain genotype variants of xenobiotic metabolizing enzymes (XME) were found to increase CRC risk, particularly in conjunction with smoking, pesticide exposure, and sun-dried vegetable consumption. A family history of cancer, especially CRC, further amplified the risk. These findings emphasize the importance of developing personalized CRC prevention and screening strategies that account for gene-environment interactions.

Development and validation of a droplet digital PCR assay for Nipah virus quantitation

BackgroundNipah 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.ResultsOur 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.ConclusionsThese 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.

Antimicrobial resistance profiling of bacteria isolated from wastewater and samples of pharmaceutical industries in South India

The study was aimed to determine the phenotypic and genotypic antimicrobial resistance in the isolated bacteria from the influent (25), effluent (15), surface and ground water samples (15) surrounding the pharmaceutical industries located in south India. From 55 samples, 48 isolates of 10 different bacteria were obtained. The identified bacterial isolates were viz. Klebsiella pneumoniae, Pseudomonas aeruginosa, Enterobacter aerogenes, Corynebacterium sp., Acinetobacter sp., Aeromonas punctata, Ralstonia picketti, Staphylococcus aureus, Stenotrophomonas maltophillia, and Citrobacter freundii. The phenotypic profile of resistance through antibiotic susceptibility test was carried out against sixteen different antibiotics. Standard PCR technique was used for the detection of 12 resistance genes encoding carbapenems, quinoline, aminoglycoside, β-lactam belonging blaOXA-58,blaOXA-22,qnrA, qnrB, aac(6)-Ib-cr, aac (3)-XI, mec A, qepA, aadB, blaVIM, blaOXA-48 and blaNDM. Pseudomonas aeruginosa (1: TN/I/2020) showed presence of 3 resistance genes. qnrB (489 bp) gene was present in maximum of 7 isolates while blaVIM (196 bp) gene was present in 6 isolates. The resistance genes blaNDM (621 bp) was present in three different isolates; aac (X):6)-lb-cr (482 bp), qepA (495 bp), aadB (500 bp), blaOXA-58 (843 bp) resistant genes were present in two different isolates each among the bacterial isolates obtained in this study. In phenotypic resistance profiling by AST method, out of 16 antibiotics tested, 14 showed resistance. Similarly, in genotypic resistance profiling, among 12 resistance genes tested, a maximum of three resistance genes were noticed in Pseudomonas aeruginosa. There were positive and negative correlations observed between phenotypic and genotypic resistance among different antibiotics and their resistance genes indicating the variations in the resistance gene expression.

Developing a Machine Learning 'Smart' Polymerase Chain Reaction Thermocycler Part 2: Putting the Theoretical Framework into Practice.

The introduction of PCR into forensic science and the rapid increases in the sensitivity, specificity and discrimination power of DNA profiling that followed have been fundamental in shaping the field of forensic biology. Despite these developments, the challenges associated with the DNA profiling of trace, inhibited and degraded samples remain. Thus, any improvement to the performance of sub-optimal samples in DNA profiling would be of great value to the forensic community. The potential exists to optimise the PCR performance of samples by altering the cycling conditions used. If the effects of changing cycling conditions upon the quality of a DNA profile can be well understood, then the PCR process can be manipulated to achieve a specific goal. This work is a proof-of-concept study for the development of a smart PCR system, the theoretical foundations of which are outlined in part 1 of this publication. The first steps needed to demonstrate the performance of our smart PCR goal involved the manual alteration of cycling conditions and assessment of the DNA profiles produced. In this study, the timing and temperature of the denaturation and annealing stages of the PCR were manually altered to achieve the goal of reducing PCR runtime while maintaining an acceptable quality and quantity of DNA product. A real-time feedback system was also trialled using an STR PCR and qPCR reaction mix, and the DNA profiles generated were compared to profiles produced using the standard STR PCR kits. The aim of this work was to leverage machine learning to enable real-time adjustments during a PCR, allowing optimisation of cycling conditions towards predefined user goals. A set of parameters was found that yielded similar results to the standard endpoint PCR methodology but was completed 30 min faster. The development of an intelligent system would have significant implications for the various biological disciplines that are reliant on PCR technology.

Evaluation of an electricity-independent method for IS2404 Loop-mediated isothermal amplification (LAMP) diagnosis of Buruli ulcer in resource-limited settings.

Buruli ulcer (BU) caused by Mycobacterium ulcerans (MU) is a devastating necrotic skin disease. PCR, recommended for confirmation of BU by WHO, requires an adequately equipped laboratory, therefore often delaying timely diagnosis and treatment of BU patients in remote settings. Loop-mediated isothermal amplification (LAMP) is a PCR-based protocol for isothermal amplification of DNA that has been suggested for diagnosis of BU in low-resource settings. This is an exploratory diagnostic test evaluation study, with an embedded qualitative sub-study. Its aims are two-fold: First, to evaluate a simple rapid syringe-based DNA extraction method (SM) in comparison with a more elaborate conventional DNA extraction method (CM), followed by a LAMP assay targeting IS2404 for the detection of MU, either using a commercially available pocket warmer (pw) or a heat block (hb) for incubation. Second, to complement this by exploring the diagnostic workflow for BU at a community-based health centre in an endemic area in rural Ghana as an example of a potential target setting, using interviews with researchers and health care workers (HCWs). Diagnostic test evaluation results are discussed in relation to the requirements of a target product profile (TPP) for BU diagnosis and the target setting. A protocol using SM for DNA extraction followed by IS2404 PCR (IS2404 PCRSM) was able to identify MU DNA in 73 out of 83 BU clinical specimens submitted for diagnosis. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of IS2404 PCRSM were 90.12%, 100%, 100% and 65.21% respectively, as compared to the reference standard IS2404 PCR in combination with a standard extraction protocol for mycobacterial DNA. Evaluation of the LAMP assay on 64 SM DNA extracts showed a sensitivity, specificity, PPV and NPV of 83.6%, 100%, 100% and 50%, respectively, using either pocket warmer (pwLAMPSM) or heat block (hbLAMPSM) for incubation of the reaction, as compared to the same reference standard. The limit of detection of pwLAMPSM was found to be 30 copies of the IS2404 target. Interview findings explored barriers to BU diagnosis and treatment, including perceptions of the disease, costs, and availability of transport. Participants confirmed that a diagnosis at the PoC, in addition to screening based on clinical criteria, would be advantageous in order to prevent delays and loss to follow-up. The high diagnostic and analytic accuracy of the pwLAMP, evaluated by us in combination with a syringe-based DNA extraction method, supports its potential use for the rapid detection of MU in suspected BU samples at the community or primary health care level without reliable electricity supply. Further optimization needs include a lysis buffer, evaluation directly at the PoC and/or other sites, assessing staff training requirements and quality control.

Rapid and sensitive detection of chikungunya virus using one-tube, reverse transcription, semi-nested multi-enzyme isothermal rapid amplification, and lateral flow dipstick assays.

This study presents a new one-tube, reverse transcription semi-nested, multi-enzyme isothermal rapid amplification assay combined with lateral flow dipstick strips for the detection of CHIKV. This technique significantly improves sensitivity and outperforms RT-qPCR for the detection of CHIKV, especially in samples with low viral loads. It is also significantly faster than conventional RT-qPCR and does not require special equipment or a standard PCR laboratory. The combination of the isothermal amplification technology developed in this study with point-of-care molecular testing offers the potential for rapid, on-site, low-cost molecular diagnosis of CHIKV.

Optimizing Tear Collection in Mice for mRNA and Protein Analysis.

The tear film is a highly dynamic biofluid capable of reflecting pathology-associated molecular changes, not only in the ocular surface but also in other tissues and organs. Molecular analysis of this biofluid offers a non-invasive way to diagnose or monitor diseases, assess medical treatment efficacy, and identify possible biomarkers. Due to the limited sample volume, collecting tear samples requires specific skills and appropriate tools to ensure high quality and maximum efficiency. Various tear sampling methodologies have been described in human studies. In this article, a comprehensive description of an optimized protocol is presented, specifically tailored for extracting tear-related protein information from experimental animal models, especially mice. This method includes the pharmacological stimulation of tear production in 2-month-old mice, followed by sample collection using Schirmer strips and the evaluation of the efficacy and efficiency of the protocol through standard procedures, SDS-PAGE, qPCR, and digital PCR (dPCR). This protocol can be easily adapted for the investigation of the tear protein signature in a variety of experimental paradigms. By establishing an affordable, standardized, and optimized tear sampling protocol for animal models, the aim was to bridge the gap between human and animal research, facilitating translational studies and accelerating advancements in the field of ocular and systemic disease research.

Phytoplasma Associated with White-backed Planthopper on Rice Plants in Sidrap Regency, South Sulawesi

South Sulawesi is one of the largest rice production centers in Indonesia. Several important diseases of rice plants, such as those caused by viruses and phytoplasmas, can be transmitted by insect vectors, especially leafhoppers and stem plant. Symptoms of diseases caused by viruses and phytoplasmas are quite diverse but visually similar and difficult to distinguish. This study aims to analyze the presence of phytoplasma associated with white-backed planthopper which are commonly found in rice plantations. The research method used is by conducting surveys and explorations of insect samples in six villages in Sidrap District. White-back planthoppers found on rice plantations showing symptoms of yellowing and stunted leaves were sampled for further analysis, including total DNA isolation of insects, standard PCR amplification for insect and Nested-PCR for phytoplasma identification, gene sequencing for both amplicons, and nucleotide analysis using BLAST method and Mega X program. The PCR with CO1 primer successfully amplified a 700 bp amplicon from insects, whereas nested-PCR using fP1/rP7 primers followed by m23SR/R16F2n amplified phytoplasma supposedly around 1800 bp and 1250 bp of 16S RNA gene, respectively. The DNA sequencing analysis results indicate that the insect samples were identified as 83% Sogatella vibix species based on homology percentage analysis using BLAST and Mega X Program. As for the phytoplasma, it leans more towards the 16SrI group or Candidatus phytoplasma asteris (Aster yellows phytoplasma) with a homology percentage of 99%.

Evaluation of pathogenic variants detected in high homology regions of the PMS2 gene. How effective is long-range PCR?

Lynch syndrome (LS) is an inherited cancer predisposition syndrome characterized by a high risk of colorectal and extracolonic tumors. Germline pathogenic variants (GPV) in the PMS2 gene are associated with <15% of all cases. The PMS2CL pseudogene presents high homology with PMS2, challenging molecular diagnosis by next-generation sequencing (NGS). Due to the high methodological complexity required to distinguish variants between PMS2 and PMS2CL, most laboratories do not clearly report the origin of this molecular finding. The aim of this study was to confirm the GPVs detected by NGS in regions of high homology segments of the PMS2 gene in a Brazilian sample. An orthogonal and gold standard long-range PCR (LR-PCR) methodology to separate variants detected in the PMS2 gene from those detected in the pseudogene. A total of 74 samples with a PMS2 GPV detected by NGS in exons with high homology with PMS2CL pseudogene were evaluated. The most common was NM_000535.6:c.2182_2184delinsG, which was previously described as deleterious mutation in a study of African-American patients with LS and has been widely reported by laboratories as a pathogenic variant associated with the LS phenotype. Of all GPVs identified, only 6.8% were confirmed by LR-PCR. Conversely, more than 90% of GPV were not confirmed after LR-PCR, and the diagnosis of LS was ruled out by molecular mechanisms associated with PMS2. In conclusion, the use of LR-PCR was demonstrated to be a reliable approach for accurate molecular analysis of PMS2 variants in segments with high homology with PMS2CL. We highlight that our laboratory is a pioneer in routine diagnostic complementation of the PMS2 gene in Brazil, directly contributing to a more assertive molecular diagnosis and adequate genetic counseling for these patients and their families.

Variant-specific BCR::ABL1 quantification discrepancy in chronic myeloid leukemia.

Accurate quantification of the BCR::ABL1 fusion gene in whole blood is pivotal for the clinical management of chronic myeloid leukemia (CML) patients. The fusion protein encoded by BCR::ABL1 can vary in size, depending on the BCR and/or ABL1 gene breakpoint. The vast majority of CML patients have a p210 BCR::ABL1 fusion gene (M-BCR), which can be attributed to the presence of either e14a2 (b3a2) or e13a2 (b2a2) mRNA transcript junctions. Twenty-five CML samples were analyzed in two different ISO15189-accredited centers that both use an Europe Against Cancer-based quantitative polymerase chain reaction (qPCR) protocol. Reanalysis of the sample set with transcript-specific standard curves and digital droplet PCR (ddPCR) were performed. qPCR quantification revealed a significant (up to 1 log) difference specifically for the e13a2 transcript variant in contrast to e14a2 transcripts (Hodges-Lehman 4.29; p < 0.001). Reanalysis of the sample set with transcript-specific standard curves abolishes the initial transcript-specific difference (Hodges-Lehman 0.003; p = 0.8192). Comparison of transcript-specific qPCR results of both centers with ddPCR, an absolute quantification method, showed a statically significant association, especially in the lower range, indicating the clinical utility of transcript-specific or absolute quantification methods. Our data show that differences between transcript-specific quantification might exist between centers, leading to potential clinical impact on the follow-up of CML patients. The use of transcript-specific standard curves for qPCR quantification, or absolute quantification, can significantly reduce these differences. Specific attention should be applied to the interpretation of quantification differences of CML patients that switch between diagnostic centers.

Droplet digital PCR based analysis of chimerism using a panel of Indel markers

Cell identity, a fundamental concept in biology, emerges from the interplay of gene expressions, cellular functions, and genomic fingerprints. Chimerism refers to the presence of two genetically distinct types of cells within an individual. Monitoring of chimerism is an important tool to evaluate the evolution of engraftment after transplant and to detect the relapse of the underlying hematological neoplasm or the occurrence of graft rejection. Also, continuous monitoring is an essential tool that can provide guidance for early therapeutic intervention. Digital droplet PCR (ddPCR) is a promising alternative to the standard quantitative PCR to assess the chimerism below 1% due to an excellent performance in the assessment of small amounts of specific targets in a complex biological sample. Here, we describe the development of a panel of ddPCR based assays for chimeric analysis. We found a group of 25 indels showing a good discrimination power when tested with artificial mixtures of DNA samples.

RFC1 Repeat Distribution in the Cypriot Population: Study of a Large Cohort of Patients With Undiagnosed Ataxia and Non-Disease Controls.

The intronic biallelic AAGGG expansion in the replication factor C subunit 1 (RFC1) gene was recently associated with a phenotype combining cerebellar ataxia, neuropathy, and vestibular areflexia syndrome, as well as with late-onset ataxia. Following this discovery, studies in multiple populations extended the phenotypic and genotypic spectrum of this locus. Multiple benign and additional pathogenic configurations are currently known. Our main objectives were to study the prevalence of the pathogenic AAGGG expansion in the Cypriot population, to further characterize the RFC1 repeat locus allele distribution, and to search for possible novel repeat configurations. Cypriot undiagnosed patients, in the majority presenting at least with cerebellar ataxia and non-neurologic disease controls, were included in this study. A combination of conventional methods was used, including standard PCR flanking the repeat region, repeat-primed PCR, long-range PCR, and Sanger sequencing. Bioinformatics analysis of already available in-house short-read whole-genome sequencing data was also performed. A large group of undiagnosed patients (n = 194), mainly presenting with pure ataxia or with ataxia accompanied by neuropathy or additional symptoms, as well as a group of non-disease controls (n = 100), were investigated in the current study. Our findings include the diagnosis of 10 patients homozygous for the pathogenic AAGGG expansion and a high percentage of heterozygous AAGGG carriers in both groups. The benign AAAAGn, AAAGGn, and AAGAGn configurations were also identified in our cohorts. We also report and discuss the identification of 2 recently reported novel and possibly benign repeat configurations, AAAGGGn and AAGACn, thus confirming their existence in another distinct population, and we highlight an increased frequency of the AAAGGGn in the patient group, including a single case of homozygosity. Our findings indicate the existence of genetic heterogeneity regarding the RFC1 repeat configurations and that the AAGGG pathogenic expansion is a frequent cause of ataxia in the Cypriot population.

Conditions and Antimicrobial Resistant Profiles of Campylobacter Species from Cow Milk Samples in Oromia Region, Ethiopia

Campylobacter is one of the major causes of gastroenteritis and is commonly transmitted through the consumption of raw milk or improperly pasteurized milk. A cross-sectional study was conducted from January 2019 to March 2020 in four study sites in the Oromia region of Ethiopia to isolate, identify, and estimate the prevalence of Campylobacter species in milk samples and to determine their antibiotic susceptibility pattern. A total of 384 cow milk samples were randomly chosen from 192 samples of raw milk from farmers and collectors and 192 samples of pasteurized milk from processors and retailers. Standard bacteriological techniques and PCR were used to isolate and identify Campylobacter spp. Of the total 384 milk samples, 35 (9.1%) were found to be positive for Campylobacter spp. The prevalence of Campylobacter spp. was highest in collector raw milk (13.5%), farmer raw milk (12.5%), and pasteurized milk (5.2%).The antibiotic susceptibility test was performed using the disc diffusion method. The most prevalent Campylobacter spp. isolated from milk samples was Campylobacter jejune (C. jejuni) (100%). The overall prevalence of Campylobacter in dairy value chains, including producer, collector, processor, and retailer, was 12.5%, 13.5%, 5.2%, and 5.2%, respectively. Cold storage, material type for making collection rooms, calibrating the pasteurizer machine, restricting milk handlers that are sick, means of transportation, and maintaining temperature during transportation had a statistically significant association. 100% and 8.6% of the Campylobacter isolates were sensitive to ciprofloxacin and chloramphenicol, respectively. However, all of the isolates were resistant to ampicillin, clindamycin, oxytetracycline, and trimethoprim. Moreover, 80% of the C. jejuni were resistant to tetracycline and streptomycin. 26% of the species developed ciprofloxacin degradation. The result of this study revealed the prevalence and risk factors of Campylobacter species in raw and pasteurized milk samples. Hence, there is a chance of acquiring infection via the consumption of raw or undercooked milk. Thus, the implementation of hygienic practices from the producer to the retailer&amp;apos;s market, proper handling to avoid cross-contamination and proper pasteurization are very important in preventing Campylobacter infection.

Performance evaluation of loop-mediated isothermal amplification, polymerase chain reaction and real-time polymerase chain reaction methods to detect Neisseria gonorrhoeae among symptomatic patients from India.

Background: Neisseria gonorrhoeae is one of the most important causative organisms in causing sexually transmitted infections. The clinical presentation of gonorrhoea mimics the symptoms of other sexually transmitted infections, and a proper diagnosis of the same is therefore crucial in patient management. The current study intended to compare different in-house molecular methods: that is, conventional PCR, real-time PCR, and LAMP assay for detection of N. gonorrhoeae. Methods: A total of 163 samples were collected from 145 patients who presented with urethral and vaginal discharge. Collected samples were processed for culture on GC agar base, and three different molecular diagnostic tests (conventional PCR, real-time PCR, and LAMP assay) were performed simultaneously on all the samples. Results: Culture of N. gonorrhoeae was positive in 17 out of 21 (80.9%) swab samples. With culture as the gold standard method, conventional and real-time PCR had a sensitivity of 94.1%, whereas the sensitivity of the LAMP assay was found to be 88.2%. All three methods had a specificity of 100%. In addition to swab samples, evaluation of urine samples by different molecular methods yielded a good concordance with a kappa value of 0.85 by conventional PCR and real-time PCR showing a perfect level of agreement, while the LAMP assay was found to have a substantial level of agreement. Conclusion: LAMP assay had a comparable diagnostic accuracy to other molecular methods for the detection of N. gonorrhoeae and can be used as a point-of-care test in resource-limited settings.

Multi-repeat sequences identification using genome mining techniques for developing highly sensitive molecular diagnostic assay for the detection of Chlamydia trachomatis.

Chlamydia trachomatis ( C. trachomatis) is a common sexually transmitted infection (STI). In 2019, the World Health Organization reported about 131 million infections. The majority of infected patients are asymptomatic with cases remaining undetected. It is likely that missed C. trachomatis infections contribute to preventable adverse health outcomes in women and children. Consequently, there is an urgent need of developing efficient diagnostic methods. In this study, genome-mining approaches to identify identical multi-repeat sequences (IMRS) distributed throughout the C. trachomatis genome were used to design a primer pair that would target regions in the genome. Genomic DNA was 10-fold serially diluted (100pg/μL to 1×10 -3pg/μL) and used as DNA template for PCR reactions. The gold standard PCR using 16S rRNA primers was also run as a comparative test, and products were resolved on agarose gel. The novel assay, C. trachomatis IMRS-PCR, had an analytical sensitivity of 4.31 pg/µL, representing better sensitivity compared with 16S rRNA PCR (9.5 fg/µL). Our experimental data demonstrate the successful development of lateral flow and isothermal assays for detecting C. trachomatis DNA with potential use in field settings. There is a potential to implement this concept in miniaturized, isothermal, microfluidic platforms, and laboratory-on-a-chip diagnostic devices for reliable point-of-care testing.