Detection Of Virus Research Articles

Application of the second-generation sequencing technology of metagenomics in the detection of pathogens in respiratory patients

ObjectiveTo explore the application value of the second-generation metagenomic next-generation sequencing (mNGS) in the detection of pathogens in patients with pulmonary infection. MethodsWe conducted a retrospective analysis of 65 pulmonary infection cases treated at our institution and the Fifth People's Hospital of Shanghai between January 2021 and May 2023. All subjects were subjected to mNGS, targeted next-generation sequencing (tNGS), and conventional microbiological culture. A comparative analysis was performed to evaluate the diversity and quantity of pathogens identified by these methodologies and to appraise their respective diagnostic capabilities in pulmonary infection diagnostics. ResultsThe mNGS successfully identified etiological agents in 60 of the 65 cases, compared to tNGS, which yielded positive results in 42 cases, and conventional laboratory cultures, which detected pathogens in 24 cases. At the bacterial genus level, mNGS discerned 9 genera, 11 species, and 92 isolates of pathogenic bacteria, whereas tNGS identified 8 genera, 8 species, and 71 isolates. Conventional methods were less sensitive, detecting only 6 genera, 7 species, and 33 isolates. In terms of fungal detection, mNGS identified 4 fungal species, tNGS detected 4 isolates of the Candida genus, and conventional methods identified 2 isolates of the same genus. Viral detection at the species level revealed 10 species and 46 isolates by mNGS, whereas tNGS detected only 3 species and 7 isolates. The area under the receiver operating characteristic curve (AUC) with 95% confidence intervals for diagnosing pulmonary infections was 0.818 (0.671 to 0.966) for mNGS, 0.668 (0.475 to 0.860) for tNGS, and 0.721 (0.545 to 0.897) for conventional culture.The mNGS demonstrates superior diagnostic efficacy and pathogen detection breadth in critically ill patients with respiratory infections, offering a significant advantage by reducing the time to diagnosis. The enhanced sensitivity and comprehensive pathogen profiling of mNGS underscore its potential as a leading diagnostic tool in clinical microbiology.

Development of a dual-component biosensor for rapid and sensitive detection of influenza H7 and H5 subtypes

The outbreak of highly pathogenic influenza virus subtypes, such as H7 and H5, presents a significant global health challenge, necessitating the development of rapid and sensitive diagnostic methods. In this study, we have developed a novel dual-component biosensor assembly, each component of which incorporates an antibody fused with a nano-luciferase subunit. Our results demonstrate the effectiveness of this biosensor in enabling the rapid and sensitive detection of influenza H7 and other subtypes. Additionally, we successfully applied the biosensor in paper-based assay and lateral flow assay formats, expanding its versatility and potential for field-deployable applications. Notably, we achieved effective detection of the H7N9 virus using this biosensor. Furthermore, we designed and optimized a dedicated biosensor to the sensitive detection of the influenza H5 subtype. Collectively, our findings underscore the significant potential of this dual-component biosensor assembly as a valuable and versatile tool for accurate and timely diagnosis of influenza virus infections, promising to advance the field of influenza diagnostics and contribute to outbreak management and surveillance efforts.

Molecular Detection and Phylogenetic Relationships of Honey Bee-Associated Viruses in Bee Products.

In the last few years, the isolation and amplification of DNA or RNA from the environment (eDNA/eRNA) has proven to be an alternative and non-invasive approach for molecular identification of pathogens and pests in beekeeping. We have recently demonstrated that bee pollen and bee bread represent suitable biological material for the molecular identification of viral RNA. In the present study, we extracted total RNA from different bee products (pollen, n = 25; bee bread, n = 17; and royal jelly, n = 15). All the samples were tested for the presence of six of the most common honey bee-associated viruses-Deformed wing virus (DWV), Acute bee paralysis virus (ABPV), Chronic bee paralysis virus (CBPV), Sacbrood virus (SBV), Kashmir bee virus (KBV), and Black queen cell virus (BQCV)-using a reverse transcription polymerase chain reaction (RT-PCR). We successfully detected six records of DWV (10.5%, 6/57), four of ABPV (7.0%, 4/57), three of Israeli acute paralysis virus (IAPV) (5.3%, 3/57), and two of BQCV (3.5%, 2/57). Using ABPV primers, we also successfully detected the presence of IAPV. The obtained viral sequences were analyzed for phylogenetic relationships with the highly similar sequences (megablast) available in the GenBank database. The Bulgarian DWV isolates revealed a high homology level with strains from Syria and Turkey. Moreover, we successfully detected a DWV strain B for the first time in Bulgaria. In contrast to DWV, the ABPV isolates formed a separate clade in the phylogenetic tree. BQCV was closely grouped with Russian isolates, while Bulgarian IAPV formed its own clade and included a strain from China. In conclusion, the present study demonstrated that eRNA can be successfully used for molecular detection of honey bee-associated viruses in bee products. The method can assist the monitoring of the health status of honey bee colonies at the local, regional, and even national levels.

Detection and typing of influenza viruses in vaccinated and non- vaccinated children in central Greece during 2018-2019

During the 2018-2019 influenza season in central Greece, 388 respiratory samples were collected from children presented with influenza symptoms and tested for the detection of influenza viruses. Real-time RT-PCR testing of the samples revealed the presence of influenza A (H1N1) (pdm09), influenza A (H3N2), seasonal influenza A (H1N1), and influenza B viruses. All samples tested were found negative for influenza A(H5) HA gene sequence. The majority of influenza viruses detected were type A (90%), of which the majority, (61%), were influenza A (H1N1) (pdm09) viruses, indicating that these viruses were the dominant influenza subtype circulating in central Greece during the winter and early spring of the aforementioned season.

Development of two competitive ELISAs based on monoclonal antibodies for the serological detection of Bovine ephemeral fever virus

Bovine ephemeral fever virus (BEFV) is a member of the genus Ephemerovirus in the family Rhabdoviridae. It is an arthropod-borne virus transmitted by many species of midges and mosquitoes. It can cause severe economic consequences due to losses in milk production and the general condition of cattle and water buffalo. BEF occurs in some tropical, subtropical and warm temperate regions of Africa, Australia, the Middle East and Asia with seasonal outbreaks, but its possible spread to other areas (e.g. Europe) cannot be excluded. Therefore, using and developing rapid diagnostic methods with optimal performance is essential for identifying emerging pathogens and their control. In the present study, we developed two competitive serological ELISAs based on monoclonal antibodies (mAbs), designed by using BEFV inactivated antigen and the BEF recombinant nucleoprotein (N), respectively. A panel of 77 BEF-positive and 338 BEF-negative sera was used to evaluate the two tests. With a diagnostic sensitivity of 97.4 % using the inactivated virus and 98.7 % using the recombinant N, and a diagnostic specificity of 100 % using both antigens, our results suggest that these tests are suitable for the serological diagnosis of BEF.

Viral shedding and environmental dispersion of two clade 2.3.4.4b H5 high pathogenicity avian influenza viruses in experimentally infected mule ducks: implications for environmental sampling

High pathogenicity avian influenza viruses (HPAIVs) have caused major epizootics in recent years, with devastating consequences for poultry and wildlife worldwide. Domestic and wild ducks can be highly susceptible to HPAIVs, and infection leads to efficient viral replication and massive shedding (i.e., high titres for an extended time), contributing to widespread viral dissemination. Importantly, ducks are known to shed high amounts of virus in the earliest phase of infection, but the dynamics and impact of environmental contamination on the epidemiology of HPAIV outbreaks are poorly understood. In this study, we monitored mule ducks experimentally infected with two H5N8 clade 2.3.4.4b goose/Guangdong HPAIVs sampled in France in 2016–2017 and 2020–2021 epizootics. We investigated viral shedding dynamics in the oropharynx, cloaca, conjunctiva, and feathers; bird-to-bird viral transmission; and the role of the environment in viral spread and as a source of samples for early detection and surveillance. Our findings showed that viral shedding started before the onset of clinical signs, i.e., as early as 1 day post-inoculation (dpi) or post-contact exposure, peaked at 4 dpi, and lasted for up to 14 dpi. The detection of viral RNA in aerosols, dust, and water samples mirrored viral shedding dynamics, and viral isolation from these environmental samples was successful throughout the experiment. Our results confirm that mule ducks can shed high HPAIV titres through the four excretion routes tested (oropharyngeal, cloacal, conjunctival, and feather) while being asymptomatic and that environmental sampling could be a non-invasive tool for early viral RNA detection in HPAIV-infected farms.

Sylvatic Mosquito Viromes in the Cerrado Biome of Minas Gerais, Brazil: Discovery of New Viruses and Implications for Arbovirus Transmission.

Studies on animal virome have mainly concentrated on chordates and medically significant invertebrates, often overlooking sylvatic mosquitoes, constituting a major part of mosquito species diversity. Despite their potential role in arbovirus transmission, the viromes of sylvatic mosquitoes remain largely unexplored. These mosquitoes may also harbor insect-specific viruses (ISVs), affecting arboviral transmission dynamics. The Cerrado biome, known for rapid deforestation and its status as a biodiversity hotspot, offers an ideal setting for investigating mosquito viromes due to potential zoonotic spillover risks from land use changes. This study aimed to characterize the viromes of sylvatic mosquitoes collected from various locations within Minas Gerais state, Brazil. The total RNA was extracted from mosquito pools of Psorophora albipes, Sabethes albiprivus, Sa. chloropterus, Psorophora ferox, and Coquillettidia venezuelensis species, followed by high-throughput sequencing (HTS). Bioinformatic analysis included quality control, contig assembly, and viral detection. Sequencing data analysis revealed 11 near-complete viral genomes (new viruses are indicated with asterisks) across seven viral families and one unassigned genus. These included: Xinmoviridae (Ferox mosquito mononega-like virus* and Albipes mosquito Gordis-like virus*), Phasmaviridae (Sabethes albiprivus phasmavirus*), Lispiviridae (Pedras lispivirus variant MG), Iflaviridae (Sabethes albiprivus iflavivirus*), Virgaviridae (Buriti virga-like virus variant MG and Sabethes albiprivus virgavirus 1*), Flaviviridae (Psorophora ferox flavivirus*), Mesoniviridae (Alphamesonivirus cavallyense variant MG), and the genus Negevirus (Biggie virus variant MG virus and Coquillettidia venezuelensis negevirus*). Moreover, the presence of ISVs and potential novel arboviruses underscores the need for ongoing surveillance and control strategies to mitigate the risk of emerging infectious diseases.

Zr-MOF Carrier-Enhanced Dual-Mode Biosensing Platforms for Rapid and Sensitive Diagnosis of Mpox.

Dual-mode readout platforms with colorimetric and electrochemiluminescence (ECL) signal enhancement are proposed for the ultrasensitive and flexible detection of the monkeypox virus (MPXV) in different scenes. A new nanotag, Ru@U6-Ru/Pt NPs is constructed for dual-mode platforms by integrating double-layered ECL luminophores and the nanozyme using Zr-MOF (UiO-66-NH2) as the carrier, which not only generates enhanced ECL and colorimetric signals but also provide greater stability than that of commonly used nanotags. Dual-mode platforms are used within 15min from the "sample in" to the "result out" steps, without nucleic acid amplification. The colorimetric mode allows the screening of MPXV with the visual limit of detection (vLOD) of 0.1 pM (6 × 108 copies µL-1) and the ECL mode supports quantitative detection of MPXV with an LOD as low as 10 aM (6 copies·µL-1), resulting in a broad sensing range of 60 to 3 × 1011 copies·µL-1 (10 orders of magnitude). Validation is conducted using 50 clinical samples, which is 100% concordant to those of quantitative polymerase chain reaction (qPCR), indicating that Ru@U6-Ru/Pt NPs-based dual-mode sensing platforms showed great promise as rapid, sensitive, and accurate tools for diagnosis of the nucleic acid of MPXV and other infectious pathogens.

Handheld, Graphene Multiplexed Sensor for Wastewater-Based Epidemiology

Wastewater-based epidemiology (WBE) is emerging as a vital tool for early detection of the emergence of diseases without the need for individual testing and reporting. This is enabled via virus shedding through bodily waste, which can be present up to two days before symptoms appear in infected individuals, albeit at low levels. Current detection methods, such as HPLC-MS and PCR, are time-consuming and require specialized equipment with highly trained personnel. This drives up the cost and turnaround time while limiting the widespread implementation of WBE for local detection, especially in resource-limited settings. Therefore, a fast, cost-effective, multiplexing, and sensitive viral wastewater detection platform could help health officials effectively implement measures to mitigate the spread of diseases. Here, I will present our recently developed handheld, graphene-based multiplexed platform utilizing high-specificity aptamers for rapid, sensitive, and simultaneous detection of virus proteins for SARS-CoV-2, Influenza A, and RSV in wastewater to accurately assess infected individuals in municipal communities. In addition, the device allows normalizing to the population, contributing to the signal by simultaneously measuring the presence of virus proteins and caffeine in wastewater. These results will highlight the selectivity and specificity of the platform in wastewater as well as the limits of detection.

RT-PCR based detection and pathotypical characterization of Newcastle disease virus isolated from layer chickens in Mymensingh, Bangladesh

The Newcastle disease virus (NDV) poses a significant threat to commercial chicken operations and is prevalent in Bangladesh. This rapidly spreading viral illness has severe economic implications for the poultry industry globally. In Bangladesh, the velogenic strain of NDV is particularly widespread. This study utilized primers from the Fusion (F) and Matrix (M) genes along with haemagglutination (HA) testing and reverse transcription-polymerase chain reaction (RT-PCR) to isolate and identify NDV. Post-mortem examinations provided 12 samples (from brain, trachea, and proventriculus) taken from four birds suspected of having NDV from Trishal and Mymensingh Sadar. The samples were injected into 10-day-old embryonated chicken eggs using the chorioallantoic membrane technique. Embryos and allantoic fluid (AF) were collected at 48 and 96 hours post-infection. NDV-infected embryos showed edema and hemorrhage. Significant hemagglutination was observed in the allantoic fluid tested with HA. Through the HA test and lesion observation, four NDV isolates were identified. Pathotypic characterization of the field isolates using the Intracerebral Pathogenicity Index (ICPI) and Mean Death Time (MDT) indicated velogenic strains (ICPI: 1.5–2.0, MDT: <60). RT-PCR confirmed the NDV status of all four isolates using primers for partial amplification of the F gene (839 bp) and the common sequence of the ‘F-M’ genes (970 bp). This study demonstrates that RT-PCR is an effective molecular technique for the rapid and confirmatory identification of velogenic NDV strains, particularly prevalent in Mymensingh at the field level.

Hospital surveillance of respiratory viruses during the COVID-19 pandemic and beyond: contribution to the WHO mosaic framework, Israel, 2020 to 2023.

BackgroundA new respiratory virus surveillance platform, based on nationwide hospital laboratory data, was established in Israel during the COVID-19 pandemic.AimWe aimed to evaluate the performance of this platform with respect to the detection of influenza and respiratory syncytial virus (RSV) from week 36 in 2020 to week 15 in 2023, and how it fits with the World Health Organization (WHO) mosaic surveillance framework.MethodsData of respiratory samples from hospitalised patients sent for laboratory confirmation of influenza virus or RSV from 25 general hospital laboratories nationwide were collected. We analysed the weekly number and percentage of samples positive for influenza virus or RSV vis-à-vis SARS-CoV-2 activity and compared data from the new surveillance platform with existing surveillance platforms. Using data in the new surveillance platform, we analysed early stages of a 2021 out-of-season RSV outbreak and evaluated the capabilities of the new surveillance system with respect to objectives and domains of the WHO mosaic framework.ResultsThe new hospital-laboratory surveillance platform captured the activity of influenza virus and RSV, provided crucial data when outpatient sentinel surveillance was not operational and supported an out-of-season RSV outbreak investigation. The new surveillance platform fulfilled important objectives in all three domains of the mosaic framework and could serve for gathering additional information to fulfil more domain objectives.ConclusionThe new hospital laboratory surveillance platform provided essential data during the COVID-19 pandemic and beyond, fulfilled important domain objectives of the mosaic framework and could be adapted for the surveillance of other viruses.

Detection of Lumpy Skin Disease Virus in Transhipped Through Merak Port and The Impact of its Spread

Detection of Lumpy Skin Disease Virus in Transhipped Through Merak Port and The Impact of its Spread

Detection of Viruses in Special Stands of Common Ash Reveals Insights into the Virome of Fraxinus excelsior

Plant diseases are mostly multicausal with several factors influencing the health status of affected hosts. Common ash (Fraxinus excelsior), a significant tree species of European forests, is currently mostly endangered by ash dieback, caused by the invasive fungus Hymenoscyphus fraxineus. However, contributing factors, including pathogenic viruses, are poorly understood. Here, we report the results of a virus screening conducted on selected special stands of F. excelsior. Over three consecutive years, ash trees from different origins were tested, including leaf material from mature seed trees, young trees and ash seedlings from the natural regeneration. Using RT-PCR, we screened for five viruses, including the generalist species ArMV (Nepovirus arabis) and CLRV (Nepovirus avii), as well as newly discovered viruses in ash, including the emaravirus ASaV (Emaravirus fraxini), the idaeovirus PrLBaV (Idaeovirus ligustri), and cytorhabdoviruses. The results revealed a high virus diversity in common ash. An association of ASaV detection with specific leaf symptoms, including shoestring, chlorotic ringspots, and vein yellowing, was documented. An analyses of relevant gene products of cytorhabdoviruses obtained from ashes of different sites revealed sequence diversities and two distinct phylogenetic groups present in ash populations. Signatures of novel viruses from different families have been identified by high-throughput sequencing. Together, our results provide insights into the virus diversity and distribution of viruses in ash and expand our knowledge about the virome of this endangered tree species.

Reverse Transcription-polymerase Chain Reaction (RT-PCR) Based Detection and Identification of Monopartite Bean Common Mosaic Virus in Mungbean

Background: Bean common mosaic virus (BCMV) which belongs to the genus Potyvirus and the family Potyviridae, causes significant yield losses in legumes across the globe. Traditional methods for BCMV detection and diagnosis, such as visual inspection and serological assays, are often time-consuming, labour-intensive and may lack the sensitivity required for early detection. Advances in molecular techniques have made RT-PCR a powerful tool for the accurate detection of BCMV-infected plants. Methods: Three pairs of specific primers that flank the BCMV coat protein and polyprotein gene were designed using the Primer 3web tool to amplify fragments approximately ranging from 191 to 205 bp. The RT-PCR protocol was then standardized, including the optimization of annealing temperatures for all three primers, followed by the sequencing of the amplified PCR products. The, specificity and sensitivity of primer pair BCMV2 were then established. Result: Three pairs of specific primers were designed and RT-PCR protocol was standardized. The sequenced PCR products showed 98.03% to 99.50 % nucleotide similarity with the corresponding sequences of BCMV isolates used in primer designing. Further, the BCMV2 primer pair specifically amplified the target amplicon (200 bp) from the suspected leaf sample and no amplicon was observed when tested against other pathotypes of potyvirus such as BCMNV, BYMV, CABMV, SMV and PeMoV. The designed primer was sensitive enough to detect 0.05% of target cDNA. Additionally, the RT-PCR protocol was validated using field samples collected from Hyderabad, India. ELISA in combination with RT-PCR using the developed specific BCMV primer pair will ensure a foolproof, sensitive and rapid, procedure for diagnosis of BCMV in the quarantine processing of imported germplasm.

Rapid Detection of Severe Fever with Thrombocytopenia Syndrome Virus in the Acute Phase of Infection by Direct Real-Time Reverse Transcription without RNA Extraction.

No specific treatment has been developed for severe fever with thrombocytopenia syndrome (SFTS). However, the prognosis can improve with early plasma exchange. Therefore, rapid and accurate detection of SFTS virus is important for diagnosis and prognosis. Direct real-time reverse transcription polymerase chain reaction (RT-PCR) testing is easier and more time-efficient than conventional real-time RT-PCR. Our study compared direct real-time RT-PCR efficiency without the RNA extraction and purification of conventional real-time RT-PCR. Samples were collected from 18 patients with SFTS and five without SFTS. A strong correlation (r = 0.774, 95% CI: 0.652-0.857, P <0.01) was found between conventional and direct real-time RT-PCR assays. Direct real-time RT-PCR showed 84.4% sensitivity and 92.0% specificity for viral detection. Direct real-time RT-PCR is an effective diagnostic tool for patients with acute phase SFTS, but further optimization is required for viral detection.

Viruses and Non‐Woven Polymers: Surface Properties and Future Perspectives in Sampling for Wastewater‐Based Epidemiology

AbstractEnvironmental disease monitoring initiatives such as wastewater‐based epidemiology can offer a unique perspective on the health status of a population. Such efforts are being increasingly utilized to guide public health initiatives and to aid in controlling the spread of infectious diseases. Key to these approaches is the sampling and identification of viruses, bacteria, and other pathogens. Advanced material technologies can be explored for the development of materials suitable for sampling, leading to the retention and detection of viruses. Here, how the surface interactions between viruses and adsorbent materials can inform the future development of effective, novel materials to aid in sampling viruses for wastewater‐based epidemiology are considered. This review provides a summary of the surface properties of viruses along with their physiochemical interactions with adsorbent materials at the solid‐water interface. Also discussed are the properties of non‐woven polymer membranes, a newer material technology being employed for the retention of viruses, with a focus on virus‐capture applications in aqueous environments.

Monkeypox-related ophthalmic disease (MPXROD): Monitoring the antiviral effect of tecovirimat with monkeypox virus detection in tear samples.

Although monkeypox-related ophthalmic disease (MPXROD) is rare, visual impairing complications have been reported. At present, tecovirimat is the standard-of-care antiviral treatment. In this MPXROD case, the effect of tecovirimat was assessed with PCR analysis of tear samples and concurrent monitoring of inflammation with laser flare photometry (LFP). The patient presented with a palpebral lesion and a corneal ulcer in his right eye, with complete absence of the corneal epithelium, high intraocular pressure and anterior uveitis. MPXV-DNA was detected in tear samples with real-time PCR (RT-PCR). A total volume of 0.5 ml tear-wash was aspirated from the inferior fornix, following instillation of saline onto the ocular surface. In addition, LFP was used to quantify inflammation in both eyes. Viral load in tear samples was detected prior to treatment initiation. In the left eye, tear samples tested negative for MPXV-DNA one week post-treatment while MPXV-DNA was still detected in the right eye, before reaching undetectable levels four weeks post-treatment. Objective quantification of anterior chamber inflammation through LFP demonstrated gradual decrease that was more pronounced in the affected right eye and coincided with the clinical improvement of the corneal ulcer. This case of Mpox related corneal ulcer with associated uveitis manifests the feasibility of monitoring the antiviral effect of tecovirimat with virus detection in tear samples and LFP. Our observations indicate that tecovirimat resulted in viral load reduction in both eyes. RT-PCR MPXV detection in tear samples and LFP represent noninvasive tools that could assist with treatment response monitoring.

Biodetect: development of a serious game to train Zika Virus detection using biosensors

The use and handling of biological laboratory components are activities that require great care and attention from professionals, as incorrect handling of any component in this environment can cause numerous harms to health and ongoing research. In this sense, this article proposes the development of an educational game aimed at teaching and training professionals and students who deal with biological laboratory protocols. The game simulates the construction of a Biosensor to identify the Zika virus, from collecting biological material to analyzing the results. The plot unfolds in two main phases: in the forest, where the main character, the Little Scientist, seeks to capture the Zika virus, and in the laboratory, facing challenges such as eliminating contaminating viruses and manipulating DNA. Specific missions are assigned to each phase, ranging from eliminating mosquitoes to washing your hands correctly. The game incorporates historical elements about the emergence of the Zika virus and seeks to teach laboratory protocols through interaction and entertainment.

Analytical and clinical evaluation of a novel real-time PCR-based detection kit for Mpox virus

Outbreaks of emerging diseases, like Mpox in 2022, pose unprecedented challenges to global healthcare systems. Although Mpox cases globally decreased since the end of 2022, numbers are still significant in the African Region, European Region, Region of the Americas, and Western Pacific Region. Rapid and efficient detection of infected individuals by precise screening assays is crucial for successful containment. In these assays, analytical and clinical performance must be assessed to ensure high quality. However, clinical studies evaluating Mpox virus (MPXV) detection kits using patient-derived samples are scarce. This study evaluated the analytical and clinical performance of a new diagnostic MPXV real-time PCR detection kit (Sansure Monkeypox Virus Nucleic Acid Diagnostic Kit) using patient-derived samples collected in Germany during the MPXV clade IIb outbreak in 2022. Our experimental approach determined the Limit of Detection (LoD) to less than 200 cp/mL using whole blood samples and samples derived from vesicles or pustules. Furthermore, we tested potentially inhibiting substances and pathogens with homologous nucleic acid sequences or similar clinical presentation and detected no cross-reactivity or interference. Following this, the assay was compared to a CE-marked test in a clinical performance study and achieved a diagnostic sensitivity of 100.00% and diagnostic specificity of 96.97%. In summary, the investigated real-time PCR assay demonstrates high analytical performance and concurs with the competitor device with high specificity and sensitivity.

Development of a Lateral Flow Assay for the Detection of the Hepatitis C Virus Core Antigen.

Hepatitis C virus (HCV) infection remains a global health challenge, with millions of people affected annually. Current diagnostic methods, reliant on antibody screening and viral RNA detection, are complex, costly, and often inaccessible, particularly in resource-limited settings. Development of a lateral flow immunochromatography-based assay for detecting the highly conserved hepatitis C core antigen (HCVcAg). The assay relies on the interaction of four highly specific and cross-reactive monoclonal antibodies with recombinant HCVcAg from five different genotypes in a double antibody sandwich format. Latex and colloidal gold were evaluated as detector nanoparticles. Extensive evaluation of 32 antibody combinations led to identifying the most sensitive antibody pairs. The chosen assay, named LN17, demonstrated a target sensitivity of 10 ng/strip, with potential clinical implications for detecting HCV. Furthermore, the study examined matrix effects in serum samples, providing valuable insights for future clinical application. The developed assay holds promise as a rapid, cost-effective, and user-friendly tool to enhance accessibility to hepatitis C screening, especially in high-risk populations and resource-limited environments.