Global trend in exosome isolation and application: an update concept in management of diseases.

Extracellular vesicles (EVs) secreted by various cells offer great potential for use in the diagnosis and treatment of disease. EVs are heterogeneous membranous vesicles. Exosomes are a subtype of EVs, 40-150 nm spherical vesicles with a lipid layer derived from endosomes. Exosomes, which are involved in signal transduction and maintain homeostasis, are released from almost all cells, tissues, and body fluids. Although several methods exist to isolate and characterize EVs and exosomes, each technique has significant drawbacks and limitations that prevent progress in the field. New approaches in the biology of EVs show great potential for isolating and characterizing EVs, which will help us better understand their biological function. The strengths and limitations of conventional strategies and novel methods (microfluidic) for EV isolation are outlined in this review. We also present various exosome isolation techniques and kits that are commercially available and assess the global market demand for exosome assays.

Willingness to Receive HIV Self-Testing Kits from Recent Sexual Partners Among Men in Dar Es Salam, Tanzania: Findings from the STEP Project Baseline Survey.

Globally, men are less likely to access HIV services, and addressing HIV service challenges among men is crucial to the global HIV/AIDS response. HIV self-testing (HIVST) has been shown to be a potentially effective strategy in improving HIV testing coverage among men. This study assessed and identified factors influencing willingness to receive HIVST kits from sexual partners among men in Tanzania. Data are from the baseline survey of the Self-Testing Education and Promotion (STEP) project, a five-year study comprising male participants aged 18 or older who self-reported as HIV-negative. Logistic regression models were used to assess factors associated with men's willingness to receive HIVST kits from their sexual partners. There were 505 heterosexual male participants enrolled in the study with an average age of 29 years, of whom 69% reported being willing to receive HIVST kits from their sexual partner. Logistic regression models demonstrated that willingness to receive HIVST kits from sexual partners was significantly associated with number of sexual partners within 12 months (aOR = 1.2, 95% CI [1.1-1.3]), awareness of HIVST (aOR = 5.6, 95% CI [3.2-9.5]), previous discussion of HIVST with sexual partners aOR = 14.0, 95% CI [8.0-24.6]), and previous testing for HIV with sexual partners not (aOR = 2.5, 95% CI [1.3-4.7]). These findings suggest additional promotional strategies to improve men's awareness of HIVST and support open conversations about HIVST and HIV testing with sexual partners could improve men's willingness to receive HIVST kits when distributed through their sexual partners.

The role of social media in public health awareness during times of war in Sudan: snakebites and scorpion stings.

BACKGROUND: Snakebite envenomation (SBE) and scorpion sting envenomation (SSE) are significant neglected tropical diseases that primarily affect impoverished communities in rural areas of developing nations. A lack of understanding about snake and scorpion species and their distribution exacerbates the disabilities and fatalities caused by SBE and SSE. In Sudan, particularly in regions affected by ongoing conflicts where healthcare resources are scarce, social media platforms offer a cost-effective approach to addressing public health challenges. Our aim in this study is to highlight the benefits of using social media for data collection and health promotion in such environments. METHODS: We present a cost-effective communication and data collection strategy implemented at the Toxic Organisms Research Centre (TORC) of the University of Khartoum, focusing on a Facebook group, "Scorpions and Snakes of Sudan", as our primary social media platform. Additionally, we discuss the lessons learned and the initial impact of this strategy on enhancing population health literacy. RESULTS: The group community is composed of ~ 5000 members from 14 countries. During the period from January 2023 to January 2024, we received 417 enquiries about snakes and scorpions belonging to 11 families and composed of 55 species. In addition, 53 other enquiries covered a range of organisms and their tracks (e.g., spiders, skinks, chameleons, foxes, sun spiders, centipedes, lizards, moth larvae, and insect tracks). The first photographic evidence of Malpolon monspessulanus in Sudan was via the group activities. The rare species Telescopus gezirae, the Blue Nile cat snake, is also documented via the group member's queries. Recognizing the evolving nature of social media use in public health, we also address the current limitations and evidence gaps that need to be addressed to effectively translate best practices into policy. CONCLUSION: In conclusion, utilizing Facebook as an institutional platform to share scientific information in simple Arabic language underscores the proactive roles that citizens, scientists, and public health stakeholders can play in leveraging social media for eHealth, eAwareness, and public health initiatives. This approach highlights the potential for collaborative efforts, particularly during crises, to maximize the benefits of social media in advancing public health.

Evaluation of the effect of Carica papaya seed on the growth performance of fattening rabbits.

Successful breeding depends on feeding. The present study aims to evaluate the Carica papaya seed effect on the growth performance of rabbits. The zootechnical parameters studied are weight growth, average daily gain, Feed Conversion Ratio, and carcass characteristics of kits. The experiment was conducted on 48 rabbits, divided into 4 groups, for 6 weeks. Forty-eight rabbits were divided into four (04) groups of 3 repetitions of 4 rabbits. The animals were fed diets containing various levels of papaya seed powder at variable contents: 0% (group T0), 4% (group T1), 6% (group T2), and 8% (group T3). At the end of the experiment, three animals were slaughtered in each animal group to assess the quality of the carcasses and organs. 6% of the seeds of Carica papaya significantly improved (p < 0.05) the average daily gain of the kits: T2 (22.40 g / d) compared to the T0 group (11.32 g / d), T1 (12.20 g / d) and T3 (17.53 g / d). The best Feed Conversion Ratio (0.80) was recorded in the animals of group T2. In contrast, the highest carcass yield was recorded in the rabbits of group T3 (62.70%). In conclusion, 6% was optimal in the feed rations of fattened rabbits to improve production performance. Breeders can consider the benefits of introducing Carica papaya seeds into the rabbits' diet.

Development of highly accurate digital PCR method and reference material for monkeypox virus detection.

Human monkeypox has attracted attention recently. Monkeypox virus (MPXV) keeps evolving as it spreading around the world rapidly, which may threaten the health of more and more people. Here, we have developed a high order reference method based on digital PCR (dPCR) for MPXV detection, of which the limits of quantification (LoQ) and detection (LoD) are 38 and 6 copies/reaction, respectively. Pseudovirus reference materials (RM) containing the conserved F3L gene has been developed, and the homogeneity assessment showed that the RM was homogeneous. The reference value with its expanded uncertainty determined by the established dPCR is (2.74 ± 0.46) × 103 copies/µL. Six different MPXV test kits were accessed by the RM. Four out of six test kits cannot reach their claimed LoDs. The poor analytical sensitivity might cause false-negative results, which lead to incorrect diagnosis and treatment. The establishment of a high order reference method of dPCR and pseudovirus RM is very useful for improving the accuracy and reliability of MPXV detection.

Ours to eat and own: assessing the feasibility of a cooperative meal-kit service to improve food access.

OBJECTIVE: Although typically serving higher income and younger demographic groups, meal-kit subscription services have the potential to improve food availability and dietary quality in communities experiencing low food access due to systemic discrimination. This study describes the development and characteristics of a pilot community-led meal-kit service (SouthEats) and evaluates key implementation outcomes of adoption, acceptability, and feasibility among households experiencing less income. DESIGN: We utilised a mixed methods study design, including data from administrative records, customer surveys and worker interviews. Thematic qualitative analyses and descriptive quantitative analyses were conducted to illuminate the characteristics and extent the pilot meal-kit service was adopted, acceptable, and financially feasible among the target populations. SETTING: The study took place in Washington DC, USA. PARTICIPANTS: Study participants included SouthEats consumers (n 35) and workers (n 3). RESULTS: During the pilot period, sixty-seven community members signed up for the meal-kit service, with 52 % making recurring purchases. Our results suggest that the meal-kit service is acceptable among people living in low food access areas. Our feasibility analysis indicates that, although not without challenges, the SouthEats model could be financially feasible. CONCLUSION: These preliminary insights can inform the scalability and potential replication of this service and provide foundational evidence for an approach that may be used to improve food access.

Mapping the behaviour change potential of meal kits to positively influence parental food literacy.

OBJECTIVE: This study aimed to examine the theoretical potential of meal kit subscription services in Australia to promote parental food literacy using the retrospective application of behaviour change frameworks. DESIGN: A one-week subscription was purchased for all Australian-based meal kit subscription services (n 9) to access content and features available to subscribers. Behaviour change techniques (BCTs) identified in the subscription and meal planning features, meal kit delivery (i.e. ingredients and recipes) and website were coded using the behaviour change technique taxonomy (BCTTv1) and associated behaviour change frameworks. Identified BCTs were mapped to the theoretical domains framework to identify potential mechanisms of action for influencing parental food literacy development. SETTING: Australia. RESULTS: Thirty-five BCTs were identified across the nine meal kit services reviewed, ranging from nineteen to twenty-nine BCTs per company. Sixteen BCTs were common to all meal kits services, from the hierarchical clusters of 'goals and planning', 'shaping knowledge', 'social support', 'natural consequences', 'comparison of behaviour', 'repetitions and substitution', 'associations', 'reward and threat', 'antecedents' and 'regulation'. Across the meal kit services, the most frequently identified mechanisms of action were motivation (n 27) and capability (n 19). CONCLUSION: These findings support the applicability of behaviour change frameworks to commercial meal kit subscription services and provide a theory-informed process for identifying BCTs that may be relevant for promoting parental food literacy within this context. Further research is required to explore how families engage with meal kit subscription services to determine the exposure and delivery of identified BCT content and to evaluate the potential influence on food literacy development.

Quality assurance of malaria rapid diagnostic tests: An aid in malaria elimination.

Background & objectives: India targets malaria elimination by 2030 in a phased manner, so malaria's assured diagnosis is crucial. Introduction of rapid diagnostic kits in India in 2010 has revolutionized malaria surveillance. The storage temperature of rapid diagnostic tests (RDTs), kit components and handling in transportations impact the results of RDTs. Therefore, quality assurance (QA) is required before it reaches end-users. The Indian Council of Medical Research-National Institute of Malaria Research (ICMR-NIMR) has a World Health Organization (WHO) recognized lot-testing laboratory facility to assure the quality of RDTs. Methods: The ICMR-NIMR receives RDTs from different manufacturing companies as well as various agencies such as National and State Programmes and Central Medical Services Society. The WHO standard protocol is followed to conduct all the tests, including long-term and post-dispatch testing. Results: A total of 323 lots tested during January 2014-March 2021 were received from different agencies. Amongst them, 299 lots passed the quality of test and 24 failed. In long-term testing, 179 lots were tested and only nine failed. A total of 7741 RDTs were received from end-users for post-dispatch testing of which 7540 qualified the QA test with a score of 97.4 per cent. Interpretation & conclusions: RDTs received for quality testing showed compliance with QA evaluation of malaria RDTs based on the protocol recommended by the WHO. However, continuous monitoring of the quality of RDTs is required under QA programme. Quality-assured RDTs have a major role, especially in areas where low parasitaemia of parasites persists.

Feasibility and acceptability of at-home play kits for middle school physical activity promotion during the COVID-19 pandemic.

BACKGROUND: Schools are central to providing opportunities for youth physical activity (PA), however such opportunities were limited during the COVID-19 pandemic. Identifying feasible, acceptable, and effective approaches for school-based PA promotion amid pandemic-related barriers can inform resource allocation efforts in future circumstances necessitating remote instruction. The aims of this study were to: (1) describe the pragmatic, stakeholder-engaged and theory-informed approach employed to adapt one school's PA promotion efforts to pandemic restrictions, leading to the creation of at-home "play kits" for students, and (2) assess the feasibility, acceptability, and preliminary effectiveness of this intervention. METHODS: Intervention activities occurred in one middle school (enrollment: 847) located in a Federal Opportunity Zone in the Seattle, WA area, with control data from a nearby middle school (enrollment: 640). Students at the intervention school were eligible to receive a play kit during the quarter they were enrolled in physical education (PE) class. Student surveys were completed across the school year (n = 1076), with a primary outcome of days/week that the student engaged in ≥ 60 min of PA. Qualitative interviews (n = 25) were conducted with students, staff, parents, and community partners, and focused on play kit acceptability and feasibility. RESULTS: During remote learning play kits were received by 58% of eligible students. Among students at the intervention school only, students actively enrolled in PE (versus not enrolled) reported significantly more days with ≥ 60 min of PA in the previous week, however the comparison between schools was not statistically significant. In qualitative interviews, most students reported the play kit motivated them to participate in PA, gave them activity ideas, and made virtual PE more enjoyable. Student-reported barriers to using play kits included space (indoors and outdoors), requirements to be quiet at home, necessary but unavailable adult supervision, lack of companions to play outdoors, and inclement weather. CONCLUSIONS: A pre-existing community organization-school partnership lent itself to a rapid response to meet student needs at a time when school staff and resources were highly constrained. The intervention developed through this collaborative response-play kits-has potential to support middle school PA during future pandemics or other conditions that necessitate remote schooling, however modifications to the intervention concept and implementation strategy may be needed to improve reach and effectiveness.

Establishment of real-time fluorescence and visual LAMP for rapid detection of Escherichia coli O157:H7 and kits construction.

Escherichia coli O157:H7 is a common pathogenic bacterium in food and water that can pose a threat to human health. The aim of this study was to develop loop-mediated isothermal amplification (LAMP) method for the detection of E. coli O157:H7 in food based on the specific gene Ecs_2840 and to construct rapid detection kits based on the established methods. Specifically, we established two methods of real-time fluorescent LAMP (RT-LAMP) and visual LAMP with calcein as an indicator. In pure bacterial culture, the cell sensitivity and genomic sensitivity of the RT-LAMP kit were 8.8 × 100 CFU ml-1 and 4.61 fg µl-1, respectively. The sensitivity of the visual LAMP kit was 2.35 × 100 CFU ml-1 and 4.61 fg µl-1. Both kits had excellent specificity and anti-interference performance. In addition, milk inoculated with 2.26 × 100 CFU ml-1E. coli O157:H7 could be detected within the reaction time after enrichment for 3 h. The results showed that the LAMP kits were rapid, sensitive, and specific for the detection of E. coli O157:H7 in food and had good application prospects in food safety surveillance.

2.5D MFFAU-Net: a convolutional neural network for kidney segmentation.

BACKGROUND: Kidney tumors have become increasingly prevalent among adults and are now considered one of the most common types of tumors. Accurate segmentation of kidney tumors can help physicians assess tumor complexity and aggressiveness before surgery. However, segmenting kidney tumors manually can be difficult because of their heterogeneity. METHODS: This paper proposes a 2.5D MFFAU-Net (multi-level Feature Fusion Attention U-Net) to segment kidneys, tumors and cysts. First, we propose a 2.5D model for learning to combine and represent a given slice in 2D slices, thereby introducing 3D information to balance memory consumption and model complexity. Then, we propose a ResConv architecture in MFFAU-Net and use the high-level and low-level feature in the model. Finally, we use multi-level information to analyze the spatial features between slices to segment kidneys and tumors. RESULTS: The 2.5D MFFAU-Net was evaluated on KiTS19 and KiTS21 kidney datasets and demonstrated an average dice score of 0.924 and 0.875, respectively, and an average Surface dice (SD) score of 0.794 in KiTS21. CONCLUSION: The 2.5D MFFAU-Net model can effectively segment kidney tumors, and the results are comparable to those obtained with high-performance 3D CNN models, and have the potential to serve as a point of reference in clinical practice.

Meal kit subscription services and opportunities to improve family vegetable consumption.

Popular commercial meal kit subscription services (MKSSs) may support families to overcome barriers to cooking and eating at home, and facilitate improved vegetable consumption. The global meal kit market has expanded rapidly creating a gap in our understanding of the health-promoting potential of MKSSs. This paper describes the contemporary MKSS market in Australia and provides a vegetable-specific content analysis of a sample of recipes. A 1-week subscription was purchased for all Australian-based MKSSs (n = 9) and websites were systematically reviewed to document key characteristics and recipe features. Vegetable content of all available recipes within a 1-week period were analysed. Our findings highlight the rapid expansion and evolution of MKSS market offerings over the past decade and their potential to support family vegetable consumption. Across all analysed recipes (n = 179), MKSSs provided a median of 2.5 vegetable serves per person (range 0.7-7.5 serves) and a median of 3 different types of vegetables from 2 vegetable subgroups (i.e. dark green, red and orange, starchy, legumes and all other vegetables). This suggests that MKSSs may support family vegetable consumption if families select recipes with a greater number and variety of vegetables. However, an opportunity remains for MKSSs to improve both vegetable quantity and variety to positively influence population health. Further research is required to describe how families use meal kits promoting a greater understanding of their potential to improve family nutrition.

Building the Bridge to a Participatory Citizenship: Curricular Integration of Communal Environmental Issues in School Projects Supported by the Internet of Things.

Generally, there is much to praise about the rise in acknowledging the need for young citizens to exercise their rights and duties, but the belief remains that this is not yet entrenched in young citizens' overall democratic involvement. A lack of citizenship and engagement in community issues was revealed by a recent study conducted by the authors in a secondary school from the outskirts of Aveiro, Portugal, during the 2019/2020 school year. Under the umbrella of a Design-Based Research methodological framework, citizen science strategies were implemented in the context of teaching, learning, and assessment, and at the service of the educational project of the target school, in a STEAM approach, and under Domains of Curricular Autonomy activities. The study's findings suggest that to build the bridge for participatory citizenship, teachers should engage students in collecting and analyzing data regarding communal environmental issues in a Citizen Science approach supported by the Internet of Things. The new pedagogies addressing the lack of citizenship and engagement in community issues promoted students' involvement at school and in the community, contributed to inform municipal education policies, and promoted dialogue and communication between local actors.

Enhancing Cyber-Resilience for Small and Medium-Sized Organizations with Prescriptive Malware Analysis, Detection and Response.

In this study, the methodology of cyber-resilience in small and medium-sized organizations (SMEs) is investigated, and a comprehensive solution utilizing prescriptive malware analysis, detection and response using open-source solutions is proposed for detecting new emerging threats. By leveraging open-source solutions and software, a system specifically designed for SMEs with up to 250 employees is developed, focusing on the detection of new threats. Through extensive testing and validation, as well as efficient algorithms and techniques for anomaly detection, safety, and security, the effectiveness of the approach in enhancing SMEs' cyber-defense capabilities and bolstering their overall cyber-resilience is demonstrated. The findings highlight the practicality and scalability of utilizing open-source resources to address the unique cybersecurity challenges faced by SMEs. The proposed system combines advanced malware analysis techniques with real-time threat intelligence feeds to identify and analyze malicious activities within SME networks. By employing machine-learning algorithms and behavior-based analysis, the system can effectively detect and classify sophisticated malware strains, including those previously unseen. To evaluate the system's effectiveness, extensive testing and validation were conducted using real-world datasets and scenarios. The results demonstrate significant improvements in malware detection rates, with the system successfully identifying emerging threats that traditional security measures often miss. The proposed system represents a practical and scalable solution using containerized applications that can be readily deployed by SMEs seeking to enhance their cyber-defense capabilities.

A rapid method for DNA Isolation from blood, dried blood spots and rapid diagnosis test.

Background & objectives: Malaria is a parasitic disease spread by Plasmodium parasite. Microscopy, lateral flow devices such as the Rapid Diagnostic Test (RDT), molecular methods such as Polymerase Chain Reaction (PCR), isothermal methods such as Loop-mediated isothermal amplification (LAMP), and other diagnostic methods are available for malaria. On the other hand, the accuracy of molecular diagnosis is dependent on genomic DNA isolation. A quick method for isolating and subjectively determining the presence of genomic DNA from blood, dried blood spot (DBS), and rapid diagnostic test (RDT), was identified. Methods: We have developed a protocol for isolating DNA from blood, DBS, and RDTs using the HUDSON Buffer (TCEP and EDTA). Isolated genomic DNA was seen with SYBR Safe DNA stain (1X) under a UV transilluminator without running in 0.8 percent gel electrophoresis or using a spectrophotometer. Results: The technique for DNA isolation was accurate for the presence of malaria parasite genomic DNA from positive samples confirmed by microscopy with a sensitivity of 76% and specificity of 78.67% and RDT with a sensitivity of 88% and specificity of 66%. The requirements were minimal, and the process took 30 minutes for a hundred sample processing. Interpretation & conclusion: Finding a fast and reliable method of separating nucleic acids from many samples is crucial. This approach extracts intact genomic DNA in under ten minutes, making it ideal for large-scale investigations.

Comparative Performance of Rapid Diagnostics for the Detection of T-2 and HT-2 Toxins in Oats.

The contamination of oat crops by trichothecene mycotoxins, T-2 and HT-2 is an ongoing threat to our food safety. Within the industry, there are increasing concerns about the continued and growing presence of these mycotoxins occurring in oat crops due to climate change, farming practices and the handling of crops post-harvest. To safeguard human health, monitoring these mycotoxins in foodstuffs is paramount to ensure human exposure is limited. To achieve this, effective testing regimes must be established within the industry, consisting not only of rapid, reliable, and accurate analytical methods but also efficient sampling strategies. Four commercial rapid diagnostic kits were assessed against liquid chromatography coupled to mass spectrometry and included three lateral flow devices and one enzyme-linked immunosorbent assay. One-way ANOVA showed a p-value of 0.45 indicating no significant difference between the methods assessed. Qualitative analysis revealed test kits 1, 2, 3, and 4 showed false negative/false positive rates of 1.1/2.2, 7.6/0, 2.2/0, and 6.5/0 percent, respectively. Test Kit 1, the Neogen Reveal® Q+ MAX for T-2/HT-2 Kit provided the most reliable, accurate and cost-effective results. Furthermore, its ease of use and no requirement for technical skill makes it applicable for on-site testing.

MTAN: A semi-supervised learning model for kidney tumor segmentation.

BACKGROUND: Medical image segmentation is crucial in disease diagnosis and treatment planning. Deep learning (DL) techniques have shown promise. However, optimizing DL models requires setting numerous parameters, and demands substantial labeled datasets, which are labor-intensive to create. OBJECTIVE: This study proposes a semi-supervised model that can utilize labeled and unlabeled data to accurately segment kidneys, tumors, and cysts on CT images, even with limited labeled samples. METHODS: An end-to-end semi-supervised learning model named MTAN (Mean Teacher Attention N-Net) is designed to segment kidneys, tumors, and cysts on CT images. The MTAN model is built on the foundation of the AN-Net architecture, functioning dually as teachers and students. In its student role, AN-Net learns conventionally. In its teacher role, it generates objects and instructs the student model on their utilization to enhance learning quality. The semi-supervised nature of MTAN allows it to effectively utilize unlabeled data for training, thus improving performance and reducing overfitting. RESULTS: We evaluate the proposed model using two CT image datasets (KiTS19 and KiTS21). In the KiTS19 dataset, MTAN achieved segmentation results with an average Dice score of 0.975 for kidneys and 0.869 for tumors, respectively. Moreover, on the KiTS21 dataset, MTAN demonstrates its robustness, yielding average Dice scores of 0.977 for kidneys, 0.886 for masses, 0.861 for tumors, and 0.759 for cysts, respectively. CONCLUSION: The proposed MTAN model presents a compelling solution for accurate medical image segmentation, particularly in scenarios where the labeled data is scarce. By effectively utilizing the unlabeled data through a semi-supervised learning approach, MTAN mitigates overfitting concerns and achieves high-quality segmentation results. The consistent performance across two distinct datasets, KiTS19 and KiTS21, underscores model's reliability and potential for clinical reference.

Evaluation of saliva as a source of accurate whole-genome and microbiome sequencing data.

This study sets out to establish the suitability of saliva-based whole-genome sequencing (WGS) through a comparison against blood-based WGS. To fully appraise the observed differences, we developed a novel technique of pseudo-replication. We also investigated the potential of characterizing individual salivary microbiomes from non-human DNA fragments found in saliva. We observed that the majority of discordant genotype calls between blood and saliva fell into known regions of the human genome that are typically sequenced with low confidence; and could be identified by quality control measures. Pseudo-replication demonstrated that the levels of discordance between blood- and saliva-derived WGS data were entirely similar to what one would expect between technical replicates if an individual's blood or saliva had been sequenced twice. Finally, we successfully sequenced salivary microbiomes in parallel to human genomes as demonstrated by a comparison against the Human Microbiome Project.

Accuracy of a Rapid Multiplex Polymerase Chain Reaction Plus a Chromogenic Phenotypic Test Algorithm for Detection of Extended-Spectrum ß-Lactamase and Carbapenemase-Producing Gram-Negative Bacilli in Positive Blood Culture Bottles.

We studied the performance of an algorithm combining multiplex polymerase chain reaction with phenotypic detection of extended-spectrum ß-lactamases and carbapenemases directly from positive blood culture bottles in patients with gram-negative bacteremia and found good concordance with routine cultures. Such an algorithm may be a tool to improve time to optimal therapy in patients with gram-negative bacteremia.

A two-step process for in silico screening to assess the performance of qRTPCR kits against variant strains of SARS-CoV-2.

BACKGROUND: Since inception of the COVID-19 pandemic, early detection and isolation of positive cases is one of the key strategies to restrict disease transmission. Real time reverse transcription polymerase chain reaction (qRTPCR) has been the mainstay of diagnosis. Most of the qRTPCR kits were designed against the target genes of original strain of SARS-CoV-2. However, with the emergence of variant strains of SARS-CoV-2, sensitivity of the qRTPCR assays has reportedly reduced. In view of this, it is critical to continuously monitor the performance of the qRTPCR kits in the backdrop of variant strains of SARS-CoV-2. Real world monitoring of assay performance is challenging. Therefore, we developed a two-step in-silico screening process for evaluating the performance of various qRTPCR kits used in India. RESULTS: We analysed 73 qRT-PCR kits marketed in India, against the two SARS-CoV-2 VoCs. Sequences of both Delta (B.1.617.2) and Omicron (B.1.1.529) VoCs submitted to GISAID within a specific timeframe were downloaded, clustered to identify unique sequences and aligned with primer and probe sequences. Results were analysed following a two-step screening process. Out of 73 kits analysed, seven were unsatisfactory for detection of both Delta and Omicron VoCs, 10 were unsatisfactory for Delta VoC whereas 2 were unsatisfactory for only Omicron VoC. CONCLUSION: Overall, we have developed a useful screening process for evaluating the performance of qRTPCR assays against Delta and Omicron VoCs of SARS-CoV-2 which can be used for detecting SARS-CoV-2 VoCs that may emerge in future and can also be redeployed for other evolving pathogens of public health importance.