Importance, Applications and Features of Assays Measuring SARS-CoV-2 Neutralizing Antibodies.

More than three years ago, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) caused the unforeseen COVID-19 pandemic with millions of deaths. In the meantime, SARS-CoV-2 has become endemic and is now part of the repertoire of viruses causing seasonal severe respiratory infections. Due to several factors, among them the development of SARS-CoV-2 immunity through natural infection, vaccination and the current dominance of seemingly less pathogenic strains belonging to the omicron lineage, the COVID-19 situation has stabilized. However, several challenges remain and the possible new occurrence of highly pathogenic variants remains a threat. Here we review the development, features and importance of assays measuring SARS-CoV-2 neutralizing antibodies (NAbs). In particular we focus on in vitro infection assays and molecular interaction assays studying the binding of the receptor binding domain (RBD) with its cognate cellular receptor ACE2. These assays, but not the measurement of SARS-CoV-2-specific antibodies per se, can inform us of whether antibodies produced by convalescent or vaccinated subjects may protect against the infection and thus have the potential to predict the risk of becoming newly infected. This information is extremely important given the fact that a considerable number of subjects, in particular vulnerable persons, respond poorly to the vaccination with the production of neutralizing antibodies. Furthermore, these assays allow to determine and evaluate the virus-neutralizing capacity of antibodies induced by vaccines and administration of plasma-, immunoglobulin preparations, monoclonal antibodies, ACE2 variants or synthetic compounds to be used for therapy of COVID-19 and assist in the preclinical evaluation of vaccines. Both types of assays can be relatively quickly adapted to newly emerging virus variants to inform us about the magnitude of cross-neutralization, which may even allow us to estimate the risk of becoming infected by newly appearing virus variants. Given the paramount importance of the infection and interaction assays we discuss their specific features, possible advantages and disadvantages, technical aspects and not yet fully resolved issues, such as cut-off levels predicting the degree of in vivo protection.

Microfluidics for COVID-19: From Current Work to Future Perspective.

Spread of coronavirus disease 2019 (COVID-19) has significantly impacted the public health and economic sectors. It is urgently necessary to develop rapid, convenient, and cost-effective point-of-care testing (POCT) technologies for the early diagnosis and control of the plague's transmission. Developing POCT methods and related devices is critical for achieving point-of-care diagnosis. With the advantages of miniaturization, high throughput, small sample requirements, and low actual consumption, microfluidics is an essential technology for the development of POCT devices. In this review, according to the different driving forces of the fluid, we introduce the common POCT devices based on microfluidic technology on the market, including paper-based microfluidic, centrifugal microfluidic, optical fluid, and digital microfluidic platforms. Furthermore, various microfluidic-based assays for diagnosing COVID-19 are summarized, including immunoassays, such as ELISA, and molecular assays, such as PCR. Finally, the challenges of and future perspectives on microfluidic device design and development are presented. The ultimate goals of this paper are to provide new insights and directions for the development of microfluidic diagnostics while expecting to contribute to the control of COVID-19.

Rapid Diagnostic Tests for the Detection of the Four Dengue Virus Serotypes in Clinically Relevant Matrices.

The efficient and accurate diagnosis of dengue, a major mosquito-borne disease, is of primary importance for clinical care, surveillance, and outbreak control. The identification of specific dengue virus serotype 1 (DENV-1) to DENV-4 can help in understanding the transmission dynamics and spread of dengue disease. The four rapid low-resource serotype-specific dengue tests use a simple sample preparation reagent followed by reverse transcription-isothermal recombinase polymerase amplification (RT-RPA) combined with lateral flow detection (LFD) technology. Results are obtained directly from clinical sample matrices in 35 min, requiring only a heating block and pipettes for liquid handling. In addition, we demonstrate that the rapid sample preparation step inactivates DENV, improving laboratory safety. Human plasma and serum were spiked with DENV, and DENV was detected with analytical sensitivities of 333 to 22,500 median tissue culture infectious doses (TCID50)/mL. The analytical sensitivities in blood were 94,000 to 333,000 TCID50/mL. Analytical specificity testing confirmed that each test could detect multiple serotype-specific strains but did not respond to strains of other serotypes, closely related flaviviruses, or chikungunya virus. Clinical testing on 80 human serum samples demonstrated test specificities of between 94 and 100%, with a DENV-2 test sensitivity of 100%, detecting down to 0.004 PFU/µL, similar to the sensitivity of the PCR test; the other DENV tests detected down to 0.03 to 10.9 PFU/µL. Collectively, our data suggest that some of our rapid dengue serotyping tests provide a potential alternative to conventional labor-intensive RT-quantitative PCR (RT-qPCR) detection, which requires expensive thermal cycling instrumentation, technical expertise, and prolonged testing times. Our tests provide performance and speed without compromising specificity in human plasma and serum and could become promising tools for the detection of high DENV loads in resource-limited settings. IMPORTANCE The efficient and accurate diagnosis of dengue, a major mosquito-borne disease, is of primary importance for clinical care, surveillance, and outbreak control. This study describes the evaluation of four rapid low-resource serotype-specific dengue tests for the detection of specific DENV serotypes in clinical sample matrices. The tests use a simple sample preparation reagent followed by reverse transcription-isothermal recombinase polymerase amplification (RT-RPA) combined with lateral flow detection (LFD) technology. These tests have several advantages compared to RT-qPCR detection, such as a simple workflow, rapid sample processing and turnaround times (35 min from sample preparation to detection), minimal equipment needs, and improved laboratory safety through the inactivation of the virus during the sample preparation step. The low-resource formats of these rapid dengue serotyping tests have the potential to support effective dengue disease surveillance and enhance the diagnostic testing capacity in resource-limited countries with both endemic dengue and intense coronavirus disease 2019 (COVID-19) transmission.

Clinical Diagnostic Point-of-Care Molecular Assays for SARS-CoV-2.

Laboratories faced many challenges throughout the COVID-19 pandemic. Point-of-care (POC) SARS-CoV-2 nucleic acid amplification tests (NAATs) provided a key solution to the need for rapid turnaround time in select patient populations and were implemented at the POC but also within laboratories to supplement traditional molecular assays. Clinical Laboratory Improvement Amendments-waived rapid POC SARS-CoV-2 NAATs offer the benefit of reduced educational requirements for operators and can be performed by non-laboratory-trained individuals. However, these methods must be validated to ensure the manufacturer's performance specifications are met and they are found to be fit-for-purpose in the clinical workflows they are implemented.

Rapid Molecular Assays for the Diagnosis of Drug-Resistant Tuberculosis.

The recognition that drug-resistant tuberculosis (DR-TB) poses a major threat to global tuberculosis (TB) control efforts has catalysed the development of new and urgently needed TB diagnostics. The full beneficial impact of the subsequent flood of new TB diagnostic tests into the market can only be realised if these diagnostic tests are readily accessible to TB programs and contribute to improved patient outcomes. Although phenotypic drug-susceptibility testing remains the gold standard, an improved understanding of the relationship between mutations and different levels of drug resistance coupled with the advantages of molecular diagnostics could result in rapid molecular diagnostic tests replacing phenotypic drug-susceptibility testing. Successful diagnostics need to diagnose all forms of drug-resistant TB prevalent in each geographic region. Given the finite number and often limited availability of effective drugs for DR-TB, the diagnostic test must be able to detect all clinically important types of resistance to available anti-TB drugs. However, less comprehensive resistance profiling may be sufficient in settings where extensively drug-resistant TB (XDR-TB) and pre-XDR are absent. Rapid molecular diagnostic tests for DR-TB detection suitable for DR-TB endemic settings should be accurate, inexpensive, suitable to be performed on an easily accessible sample, detect prevalent circulating drug-resistant strains, and provide results within a short turnaround time to enable timely treatment initiation. In this review, we appraise the wide range of molecular diagnostics for DR-TB endorsed by the World Health Organisation, discuss the challenges in the development and rollout of rapid molecular DR-TB tests in low- and middle-income countries, and highlight user perspectives and cost-effectiveness factors that influence their utility.

Real-Valued Group Testing for Quantitative Molecular Assays

Combinatorial group testing and compressed sensing both focus on recovering a sparse vector of dimensionality n from a much smaller number m< n of measurements. In the first approach, the problem is defined over the Boolean field – the goal is to recover a Boolean vector and measurements are Boolean;in the second approach, the unknown vector and the measurements are over the reals. Here, we focus on real-valued group testing setting that more closely fits modern testing protocols relying on quantitative measurements, such as qPCR, where the goal is recovery of a sparse, Boolean vector and the pooling matrix needs to be Boolean and sparse, but the unknown input signal vector and the measurement outcomes are nonnegative reals, and the matrix algebra implied in the test protocol is over the reals. With the recent renewed interest in group testing, focus has been on quantitative measurements resulting from qPCR, but the method proposed for sample pooling were based on matrices designed with Boolean measurements in mind. Here, we investigate constructing pooling matrices dedicated for the real-valued group testing. We provide conditions for pooling matrices to guarantee unambiguous decoding of positives in this setting. We also show a deterministic algorithm for constructing matrices meeting the proposed condition, for small matrix sizes that can be implemented using a laboratory robot. Using simulated data, we show that the proposed approach leads to matrices that can be applied for higher positivity rates than combinatorial group testing matrices considered for viral testing previously. We also validate the approach through wet lab experiments involving SARS-CoV-2 nasopharyngeal swab samples. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

A Plasma-Generating N-95 Respirator Decontamination Unit Created from a Microwave Oven

Wearing a mask population-wide is an important preventive measure in address-ing COVID-19 and potential future pandemics. We showed how a household microwave oven, a coat-hanger, and a coffee cup can generate plasma that can be used to decontaminate N95 respirators in less than 1 minute. We proved that microwave-generated plasma can reduce infectivity of the Tulane virus and the transmissible gastroenteritis virus (TGEV) on N95 respirators by > 3-log10. We further studied the Tulane virus by molecular assays to understand inactivation mech-anisms, and we found that the plasma damages both viral proteins and genomes. Spectroscopy of the plasma revealed OH and C-containing radicals as the most prevalent active species expected to cause virus inactivation. The respirators still maintained filtration and fit even after 10 cycles of the plasma treatment. We believe that microwave-generated plasma is an easily accessible respirator decontamination technique that everyone could use for safe respirator reuse. © 2021 by Begell House, Inc.

Evaluation of the Alinity m Resp-4-Plex Assay for the Detection of Severe Acute Respiratory Syndrome Coronavirus 2, Influenza A Virus, Influenza B Virus, and Respiratory Syncytial Virus.

The rapid emergence of the coronavirus disease 2019 (COVID-19) pandemic has introduced a new challenge in diagnosing and differentiating respiratory infections. Accurate diagnosis of respiratory infections, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is complicated by overlapping symptomology, and stepwise approaches to testing for each infection would lead to increased reagent usage and cost, as well as delays in clinical interventions. To avoid these issues, multiplex molecular assays have been developed to differentiate between respiratory viruses in a single test to meet clinical diagnostic needs. To evaluate the analytical performance of the FDA emergency use authorization (EUA)-approved Abbott Alinity m resp-4-plex assay (Alinity m) in testing for SARS-CoV-2, influenza A virus, influenza B virus, and respiratory syncytial virus (RSV), we compared its performance to those of both the EUA-approved Cepheid Xpert Xpress SARS-CoV-2, influenza A/B virus, and RSV assay (Xpert Xpress) and the EUA-approved Roche Cobas SARS-CoV-2 and influenza A/B virus assay (Cobas) in a single-center retrospective analysis. High concordance was observed among all three assays, with kappa statistics showing an almost perfect agreement (>0.90). The limit of detection (LOD) results for SARS-CoV-2 showed the Alinity m exhibiting the lowest LOD at 26 copies/mL, followed by the Cobas at 58 copies/mL and the Xpert Xpress at 83 copies/mL, with LOD results for the influenza A virus, influenza B virus, and RSV viral targets also showing equivalent or better performance on the Alinity m compared to the other two platforms. The Alinity m can be used as a high-volume testing platform for SARS-CoV-2, influenza A virus, influenza B virus, and RSV and exhibits analytical performance comparable to those of both the Xpert Xpress and Cobas assays. IMPORTANCE The rapid emergence of SARS-CoV-2 has introduced a new challenge in diagnosing and differentiating respiratory infections, especially considering the overlapping symptomology of many of these infections and differences in clinical interventions depending on the pathogen identified. To avoid these issues, multiplex molecular assays like the one described in this article need to be developed to differentiate between the most common respiratory pathogens in a single test and most effectively meet clinical diagnostic needs.

Performance Assessment of the LIAISON® SARS-CoV-2 Antigen Assay On Nasopharyngeal Swabs

The SARS-CoV-2 pandemic is ongoing worldwide, causing prolonged pressure on molecular diagnostics. Viral antigen (Ag) assays have several advantages, ranging from lower cost to shorter turnaround time to detection. Given the rare occurrence of low-load viremia, antigen assays for SARS-CoV-2 have focused on nasopharyngeal swab and saliva as biological matrices, but their effectiveness must be validated. We assayed here the performances of the novel quantitative Liaison® SARS-CoV-2 Ag assay on 119 nasopharyngeal swabs and obtained results were compared with Hologic Panther and Abbott m2000 RT-qPCR. The Ag assay demonstrated a good correlation with viral load, shorter turnaround time, and favorable economics. The best performance was obtained in the acute phase of disease.

Evaluation of PCR cycle threshold values by patient population with the quidel lyra SARS-CoV-2 assay.

The Lyra SARS-CoV-2 assay was the primary method for molecular testing performed at Barnes-Jewish Healthcare System in St. Louis, Missouri during the initial COVID-19 surge from mid-March to late-April 2020. We performed a retrospective analysis of 1,043 positive Lyra SARS-CoV-2 results during these 36 days to investigate associations between cycle threshold (CT)  value and patient characteristics. Total RNA were extracted from NP or OP swabs using either the EasyMag or KingFisher automated extraction systems and quantified with RotorGene Q (Qiagen) or Applied Biosystems 7500 Fast Dx thermocyclers respectively. Notably, we found lower a significant median lower CT for samples tested on the KingFisher-ABI 7500 fastDX (KF/ABI) system compared to the EasyMag/RotorGene (EM/RGQ) platform. Since 77.5% of our tests were ran on the EM/RGQ pipeline we then perform additional analysis on these values and found that C T values in outpatient care settings compared to samples obtained in the emergency department or inpatient had significantly lower C T values. These collective findings suggests a difference in viral load amongst various patient populations.

Human respiratory viruses, including SARS-CoV-2, circulating in the winter season 2019-2020 in Parma, Northern Italy.

OBJECTIVES: The aim of this study was to determine the prevalence of respiratory virus infections, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), during the winter period December 2019 to March 2020, via a tertiary care hospital-based survey in Parma, Northern Italy. METHODS: A total of 906 biological samples from the respiratory tract were analysed by both conventional assays (including culture) and molecular assays targeting nucleic acids of SARS-CoV-2 and other respiratory viruses. RESULTS: Overall, 474 samples (52.3%) were positive for at least one virus, with a total of 583 viruses detected. Single infections were detected in 380 (80.2%) samples and mixed infections were detected in 94 (19.8%). Respiratory syncytial virus (138/583, 23.7%) and rhinovirus (130/583, 22.3%) were the most commonly identified viruses, followed by SARS-CoV-2 (82/583, 14.1%). Respiratory syncytial virus predominated until February, with 129 detections; it then decreased drastically in March to only nine detections. SARS-CoV-2 was absent in the study area until February 26, 2020 and then reached 82 detections in just over a month. SARS-CoV-2 was found in mixed infections in only three cases, all observed in children younger than 1 year old. CONCLUSIONS: This study showed a completely different trend between SARS-CoV-2 and the 'common' respiratory viruses: the common viruses mostly affected children, without any distinction according to sex, while SARS-CoV-2 mostly affected adult males.

COVID-19 Impact on Diagnostic Innovations: Emerging Trends and Implications.

Diagnostic testing remains the backbone of the coronavirus disease 2019 (COVID-19) response, supporting containment efforts to mitigate the outbreak. The severity of this crisis and increasing capacity issues associated with polymerase chain reaction (PCR)-based testing, accelerated the development of diagnostic solutions to meet demands for mass testing. The National Institute for Health Research (NIHR) Innovation Observatory is the national horizon scanning organization in England. Since March, the Innovation Observatory has applied advanced horizon scanning methodologies and tools to compile a diagnostic landscape, based upon data captured for molecular (MDx) and immunological (IDx) based diagnostics (commercialized/in development), for the diagnosis of SARS-CoV-2. In total we identified and tracked 1608 diagnostics, produced by 1045 developers across 54 countries. Our dataset shows the speed and scale in which diagnostics were produced and provides insights into key periods of development and shifts in trends between MDx and IDx solutions as the pandemic progressed. Stakeholders worldwide required timely and detailed intelligence to respond to major challenges, including testing capacity and regulatory issues. Our intelligence assisted UK stakeholders with assessing priorities and mitigation options throughout the pandemic. Here we present the global evolution of diagnostic innovations devised to meet changing needs, their regulation and trends across geographical regions, providing invaluable insights into the complexity of the COVID-19 phenomena.

Detection of SARS-CoV-2 and Other Infectious Agents in Lower Respiratory Tract Samples Belonging to Patients Admitted to Intensive Care Units of a Tertiary-Care Hospital, Located in an Epidemic Area, during the Italian Lockdown.

The aim of this study was the detection of infectious agents from lower respiratory tract (LRT) samples in order to describe their distribution in patients with severe acute respiratory failure and hospitalized in intensive care units (ICU) in an Italian tertiary-care hospital. LRT samples from 154 patients admitted to ICU from 27 February to 10 May 2020 were prospectively examined for respiratory viruses, including SARS-CoV-2, bacteria and/or fungi. SARS-CoV-2 was revealed in 90 patients (58.4%, 72 males, mean age 65 years). No significant difference was observed between SARS-CoV-2 positives and SARS-CoV-2 negatives with regard to sex, age and bacterial and/or fungal infections. Nonetheless, fungi were more frequently detected among SARS-CoV-2 positives (44/54, 81.4%, p = 0.0053). Candida albicans was the overall most frequently isolated agent, followed by Enterococcus faecalis among SARS-CoV-2 positives and Staphylococcus aureus among SARS-CoV-2 negatives. Overall mortality rate was 40.4%, accounting for 53 deaths: 37 among SARS-CoV-2 positives (mean age 69 years) and 16 among SARS-CoV-2 negatives (mean age 63 years). This study highlights the different patterns of infectious agents between the two patient categories: fungi were prevalently involved among SARS-CoV-2-positive patients and bacteria among the SARS-CoV-2-negative patients. The different therapies and the length of the ICU stay could have influenced these different patterns of infectious agents.

The outlook for diagnostic purposes of the 2019-novel coronavirus disease.

At the end of December 2019, a novel acute respiratory syndrome coronavirus 2 (SARS-CoV2) appeared as the third unheard of outbreak of human coronavirus infection in the 21st century. First, in Wuhan, China, the novel SARS-CoV2 was named by the World Health Organization (WHO), as 2019-nCOV (COVID-19), and spread extremely all over the world. SARS-CoV2 is transmitted to individuals by human-to-human transmission leading to severe viral pneumonia and respiratory system injury. SARS-CoV2 elicits infections from the common cold to severe conditions accompanied by lung injury, acute respiratory distress syndrome, and other organ destruction. There is a possibility of virus transmission from asymptomatic cases as active carriers, in addition to symptomatic ones, which is a crucial crisis of COVID-19 that should be considered. Hence, paying more attention to the accurate and immediate diagnosis of suspected and infected cases can be a great help in preventing the rapid spread of the virus, improving the disease prognosis, and controlling the pandemic. In this review, we provide a comprehensive and up-to-date overview of the different types of Clinical and Para-clinical diagnostic methods and their practical features, which can help understand better the applications and capacities of various diagnostic approaches for COVID-19 infected cases.