Literature DB >> 32643218

COVID-19 Clinical Diagnostics and Testing Technology.

Cindy H Chau1, Jonathan D Strope1, William D Figg1.   

Abstract

Given the global nature of the coronavirus disease 2019 (COVID-19) pandemic, the need for disease detection and expanding testing capacity remains critical priorities. This review discusses the technological advances in testing capability and methodology that are currently used or in development for detecting the novel coronavirus. We describe the current clinical diagnostics and technology, including molecular and serological testing approaches, for severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) testing as well as address their advantages and limitations. Nucleic acid amplification technology for molecular diagnostics remains the gold standard for virus detection. We highlight alternative molecular detection techniques used for developing novel COVID-19 diagnostics on the horizon. Antibody response against SARS-CoV-2 remains poorly understood and proper validation of serology tests is necessary to demonstrate their accuracy and clinical utility. In order to bring the pandemic under control, we must speed up the development of rapid and widespread testing through improvements in clinical diagnostics and testing technology as well as access to these tools.
© 2020 Pharmacotherapy Publications, Inc.

Entities:  

Keywords:  COVID-19; RT-PCR; SARS-CoV-2; antibody; antigen; serology

Mesh:

Year:  2020        PMID: 32643218      PMCID: PMC7361586          DOI: 10.1002/phar.2439

Source DB:  PubMed          Journal:  Pharmacotherapy        ISSN: 0277-0008            Impact factor:   6.251


In December of 2019, the World Health Organization (WHO) was notified by Chinese officials of a pneumonia of unknown etiology that had affected nearly 44 individuals. On January 7, 2020, Chinese researchers isolated a novel coronavirus now known as severe acute respiratory syndrome‐coronavirus 2 (SARS‐CoV‐2) that causes the coronavirus disease 2019 (COVID‐19). Proper mitigation of continued spread of the virus relies on rapid and accurate laboratory testing to confirm positive cases. One of the first published reports of an asymptomatic transmission of disease came from a family cluster in China, opening the possibility that positive patients could unknowingly be infecting others and that the number of positive cases was being underreported. Analysis of the viral load in an asymptomatic patient in China found that the levels were similar to those of symptomatic patients. These findings present a challenge to successful contact tracing and exposure control. Taken together, the data underlay the importance of not only physical distancing, but more importantly expansive testing and isolation of positive cases regardless of the presence of symptoms to contain and mitigate the SARS‐CoV‐2 pandemic. It remains critical that clinicians understand the relationships between test results from virologic and serologic testing and the performance of these diagnostic assays in order to prescribe appropriate drug therapy. Accurate interpretation and assessment of viral exposure and/or immunological response may impact pharmacotherapy decisions. As no “cure” currently exists for SARS‐CoV‐2 infection, clinical utility of validated serologic testing may have a role in clinical decision making as antibody detection may be used as an indicator of the stage of COVID‐19 progression to aid in management of the disease. Thus, it is essential that patients who are seropositive be identified in order to properly design treatments. There are many different ways to test for SARS‐CoV‐2. In this review, we briefly describe the current and future approaches for clinical testing for COVID‐19, including molecular and serological testing as well as their benefits and limitations. We reviewed original papers published in PubMed since the COVID‐19 outbreak up to the time of writing using the following terms: COVID‐19, SARS‐CoV‐2, diagnostics, testing, real‐time reverse transcriptase polymerase chain reaction (RT‐PCR), serology, and antigen.

Nucleic Acid Amplification Test: Gold Standard RT‐PCR

Genetic information for the viral genome SARS‐CoV‐2 originally appeared in the community online resource (https://virological.org). Subsequently, updated sequences of the genome from around the world have been deposited in the viral sequence database curated by the Global Initiative on Sharing All Influenza Data (GISAID) and GenBank (accession number MN908947; National Center for Biotechnology Information [NCBI] Reference Sequence: NC_045512). Nucleic acid amplification technology (NAAT) based on polymerase chain reaction (PCR), is regarded as the “gold standard” for virus detection. The diagnosis of COVID‐19 relies on the detection of the SARS‐CoV‐2 RNA by RT‐PCR. , The viral RNA is detectable in nasopharyngeal and oropharyngeal swab samples as well as respiratory secretions during the acute phase of viral infection. Genetic material is extracted from patient samples and reverse transcriptase is used to make a complementary DNA strand from the viral RNA. Selective amplification of the target nucleic acid from the sample is achieved by designing target‐specific forward and reverse primers flanking regions of interest (ROIs) that are unique to the SARS‐CoV‐2 genome (Figure 1): replicase open reading frame (ORF1a/b), spike (S), envelop (E), membrane (M), and nucleocapsid (N).
Figure 1

The SARS‐CoV‐2 viral structure and gene map. SARS‐CoV‐2 is a positive‐stranded RNA virus with a genome size of ∼30 kb encoding genes for non‐structural proteins (ORF1a and ORF1b) involved in replication at the 5′‐end and multiple structural proteins (S, E, M, N) downstream that make up the virus particle. Target‐specific forward and reverse primers are designed to flank regions of interest that are unique to SARS‐CoV‐2. Regions highlighted in red are believed to be those that confer viral pathogenicity. NCBI Reference Sequence: NC_045512 (GenBank accession number MN908947). Figure created with BioRender.com. E = envelop; M = membrane; N = nucleocapsid; ORF1ab = open reading frame; RdRp = RNA dependent RNA polymerase; S = spike; SARS‐CoV‐2 = severe acute respiratory syndrome‐coronavirus 2. [Color figure can be viewed at wileyonlinelibrary.com]

The SARS‐CoV‐2 viral structure and gene map. SARS‐CoV‐2 is a positive‐stranded RNA virus with a genome size of ∼30 kb encoding genes for non‐structural proteins (ORF1a and ORF1b) involved in replication at the 5′‐end and multiple structural proteins (S, E, M, N) downstream that make up the virus particle. Target‐specific forward and reverse primers are designed to flank regions of interest that are unique to SARS‐CoV‐2. Regions highlighted in red are believed to be those that confer viral pathogenicity. NCBI Reference Sequence: NC_045512 (GenBank accession number MN908947). Figure created with BioRender.com. E = envelop; M = membrane; N = nucleocapsid; ORF1ab = open reading frame; RdRp = RNA dependent RNA polymerase; S = spike; SARS‐CoV‐2 = severe acute respiratory syndrome‐coronavirus 2. [Color figure can be viewed at wileyonlinelibrary.com]

Understanding Target Selection and Assay Sensitivity/Specificity

The genome of SARS‐CoV‐2 has been characterized and compared with other coronaviruses to identify homology. The genome of SARS‐CoV‐2 shares 89% nucleotide identity with bat SARS‐like‐CoVZXC21 and 82% with that of human SARS‐CoV. Preferred targets or ROIs include ORF1a/b, ORF1b‐nsp14, nonstructural RNA dependent RNA polymerase (RdRp), S, E, or N gene of SARS‐CoV‐2. A detailed genetic analysis of SARS‐CoV‐2 with other coronaviruses, those with low and high case fatality rates, found that pathogenicity is predicted most by the regions of the spike and nucleocapsid proteins. A recent study has identified selective mutations in the SARS‐CoV‐2 genome; therefore, it is essential to avoid certain ROIs when designing primers and probes. Although the mutation rate of SARS‐CoV‐2 remains to be determined, it is estimated to be moderate compared with influenza. Based on the natural viral mutation and recombination rates, targeting more than one ROI can mitigate the risk of loss of sensitivity should potential mutations arise. Monitoring of genomic variations in SARS‐CoV‐2 is ongoing in case assay re‐design is needed. Target selection can affect assay performance in terms of specificity and sensitivity as well as cross‐reactivity due to conserved regions. The validity of a test is measured by its analytical and clinical sensitivity and specificity. Analytical sensitivity is the assay’s ability to reliably detect the minimum concentration of a substance in a sample (also referred to as limit of detection) whereas analytical specificity refers to the ability to detect only the desired analyte in a specimen without cross‐reacting with other substances. Clinical sensitivity measures how accurately a test identifies positive patients who are infected. A test with 95% sensitivity will identify 95% of patients who have the disease and produces false‐negatives in 5% of patients (5 of every 100 patients who are positive test negative); a lower sensitivity test means higher false‐negative results. Clinical specificity, the inverse of sensitivity, determines how accurately a test identifies negative patients who do not have COVID‐19. A test with 95% specificity will identify 95% of patients who do not have the disease and incorrectly identify 5% of patients who test positive but actually are not infected; a lower specificity test means higher false‐positives. A test with good analytical sensitivity and specificity does not necessarily correlate with clinical sensitivity and specificity. (See section on Assay Limitations for a discussion on implications of false‐positive and negative tests.) The WHO has established protocols for various testing kits developed around the world with a listing of the targeted viral regions (Table 1). One of the first RT‐PCR assays published for SARS‐CoV‐2 was developed by Germany Charité and targeted the RdRp, E, and N genes of the virus. The assay, designed using synthetic nucleic acid technology and in the absence of available virus isolate or original patient specimens, demonstrated that targeting the E and RdRp gene was highly sensitive, whereas the N gene was slightly less sensitive. Numerous RT‐PCR assays targeting various combinations of the ROIs have since been designed to improve and maximize detection sensitivity and specificity. Initially in the United States, production and validation of RT‐PCR based testing kits were completed by the Centers for Disease Control and Prevention (CDC) following federal rules and regulations. The first kits sent out to state health agencies were sidelined by a faulty reagent in the negative control and one primer set (CDC N3) that did not perform well and was later excluded from the kits. Subsequent studies validated the specificity and sensitivity of the primer‐probe sets from various assays. A study conducted by the University of Washington compared the performance of their primer sets against those developed by Germany Charité and the US CDC primers (CDC N1 and CDC N2) in the current CDC testing kit. The study found high specificity among all primer sets and variable sensitivity, with the CDC N2 and the Germany E‐gene sets being more sensitive than others. Another study (in preprint) examined the sensitivity and efficiency of four common RT‐PCR assays developed by the US CDC, China CDC, Germany Charité, and Hong Kong University (HKU). This study also found that although all primer‐probe sets can detect SARS‐CoV‐2, the most sensitive primer‐probe sets are the Germany E gene, HKU‐ORF1, HKU‐N, and US CDC N1. Whereas the US CDC N2 primers had background cross‐reactivity, it did not interfere with outcomes of the combined N1 and N2 assay when testing clinical samples from patients with COVID‐19. Other studies have also compared the US CDC N1 and N2 against commercial test kits, reporting similar specificity with variable sensitivity. ,
Table 1

World Health Organization List of Testing Protocols

CountryInstituteTargets
ChinaChina CDCORF1ab and N
GermanyCharitéRdRp, E, N
Hong KongHKUORF1b‐nsp14, N
JapanNational Institute of Infectious Diseases, Department of Virology IIIPancorona and multiple targets, S
ThailandNational Institute of HealthN
United StatesCDCTwo regions in N protein
FranceInstitut PasteurTwo regions in RdRp

CDC = Center for Disease Control and Prevention; E = envelop protein gene; HKU = Hong Kong University; M = membrane protein gene; N = nucleocapsid protein gene; ORF = open reading frame; RdRp = RNA dependent RNA polymerase; S = spike protein gene.

https://www.who.int/emergencies/diseases/novel‐coronavirus‐2019/technical‐guidance/laboratory‐guidance (accessed June 8, 2020).

World Health Organization List of Testing Protocols CDC = Center for Disease Control and Prevention; E = envelop protein gene; HKU = Hong Kong University; M = membrane protein gene; N = nucleocapsid protein gene; ORF = open reading frame; RdRp = RNA dependent RNA polymerase; S = spike protein gene. https://www.who.int/emergencies/diseases/novel‐coronavirus‐2019/technical‐guidance/laboratory‐guidance (accessed June 8, 2020). To accelerate testing capacity, the US Food and Drug Administration (FDA) released updated guidance on February 29, 2020, opening up the production of diagnostic kits to state laboratories, laboratories certified under Clinical Laboratory Improvement Amendments (CLIA), and commercial diagnostic developers. Clinical laboratories have the option of either using the CDC primers or other established primers/protocols listed on the WHO website, to produce their own “laboratory‐developed tests” for in‐house use. Since release of the guidance, the FDA has and continues to issue Emergency Use Authorizations (EUAs) and a comprehensive listing of all commercial diagnostic tests are updated on the FDA’s website (https://www.fda.gov/medical‐devices/coronavirus‐disease‐2019‐covid‐19‐emergency‐use‐authorizations‐medical‐devices/vitro‐diagnostics‐euas). EUAs issued to the singular developing laboratory, such as ones based at research/academic institutions and hospitals, can also be found at the same FDA website. At the time of writing, the US FDA has issued 149 individual EUAs (commercial and laboratory‐developed tests), which includes 125 molecular tests, 23 antibody tests, and 1 antigen test; a comparison of these tests is presented in Table 2. The FDA lists all individual EUAs for molecular, antibody, and antigen tests and provides links to these tests that include information on the assay platform, gene targets of the test, as well as performance characteristics (sensitivity and specificity). The WHO partners with the Foundation for Innovative New Diagnostics (FIND) for developing urgently needed diagnostic tests. FIND’s SARS‐CoV‐2 diagnostic pipeline tracks all tests commercially available or in development worldwide (https://www.finddx.org/covid‐19/pipeline/). FIND is conducting independent evaluations of SARS‐CoV‐2 testing platforms to verify the limit of detection of each test (as reported by the manufacturers) and the clinical performance of the test (https://www.finddx.org/covid‐19/sarscov2‐eval‐molecular/).
Table 2

Comparison of In Vitro SARS‐CoV‐2 Tests Granted Emergency Use Authorizations by the US FDA

MolecularAntigenSerology
Test typeViralViralAntibody
Diagnostic testYesYesNo
DescriptionNucleic acid amplification test to detect viral RNADetects viral proteins in the nasal cavityDetects the presence of IgA, IgM & IgG antibodies against SARS‐CoV‐2
MeasureCurrent infection with SARS‐CoV‐2Current infection with SARS‐CoV‐2Past exposure to SARS‐CoV‐2
Platform technologyRT‐PCR, LAMP, CRISPRLateral flowLateral flow, ELISA, CIA
Sample typeNasal or throat swab, saliva, bronchoalveolar lavage fluidNasal or throat swabBlood draw (plasma, serum, whole blood) or finger stick
Testing windowDays 1–28 after symptom onset, optimal days 3–12Days 1–28 after symptom onset, optimal days 3–12IgA/IgM: from day 5 after symptom onset, optimal days 14–21; IgG: from day 14 after symptom onset up to 6 weeks
Result turnaround timeSame day or up to a week (depending on location); point‐of‐care option available (within 1–2 hours)Rapid, point‐of‐care (within 15 minutes)Same day or up to 1–3 days (depending on location); point‐of‐care option available (within 15–30 minutes)

CIA = chemiluminescent immunoassay; CRISPR = clustered regularly interspaced short palindromic repeats; ELISA = enzyme‐linked immunosorbent assay; FDA = US Food and Drug Administration; Ig = immunoglobulin; LAMP = loop‐mediated isothermal amplification; RT‐PCR = real‐time reverse transcriptase polymerase chain reaction; SARS‐CoV‐2 = severe acute respiratory syndrome‐coronavirus 2.

Comparison of In Vitro SARS‐CoV‐2 Tests Granted Emergency Use Authorizations by the US FDA CIA = chemiluminescent immunoassay; CRISPR = clustered regularly interspaced short palindromic repeats; ELISA = enzyme‐linked immunosorbent assay; FDA = US Food and Drug Administration; Ig = immunoglobulin; LAMP = loop‐mediated isothermal amplification; RT‐PCR = real‐time reverse transcriptase polymerase chain reaction; SARS‐CoV‐2 = severe acute respiratory syndrome‐coronavirus 2.

Assay Performance and Limitations

Diagnostic testing errors can result in false‐positives and/or false‐negatives that stem from improper sample collection, testing procedural errors, and variability in assay performance (sensitivity/specificity). Diagnostic tests need to be evaluated to determine their sensitivity and specificity, ideally by comparison with a “gold standard.” The lack of a clear‐cut gold‐standard diagnostic test for SARS‐CoV‐2 (because the virus is new) makes evaluation of test accuracy challenging; therefore, assay performance needs to be compared with a reference standard. The FDA recommends selecting a comparator assay that has established high sensitivity with an internationally recognized standard or FDA SARS‐CoV‐2 Reference Panel and set the criteria at a minimum of 95% positive and negative agreement as acceptable clinical performance of the assay. With the strategy to “test, isolate, contact trace, and quarantine,” a false‐positive result mistakenly identifies a patient as having COVID‐19 resulting in unnecessary contact tracing and quarantine. False‐negatives prevent proper contact tracing and quarantine efforts and importantly miss isolating the individual who can now infect others. Timing is critical when testing for SARS‐CoV‐2 to prevent inaccurate results. Depending on the test rendered, testing early or late in the infection cycle could lead to false‐negative results. For molecular based assays, the optimal testing window occurs near the end of the first week and into the beginning of the second week after symptom onset (Figure 2). However, positive tests are possible near the first day of symptom onset. Persistent positive tests or positive tests in discharged patients after symptom resolution have been documented. In a report from South Korea CDC, 285 of a reported 447 re‐positive tests were followed; they concluded that there is no evidence that those testing positive long after symptom onset and resolution are re‐infected or still infectious. The duration of viral RNA shedding is variable and depend on disease severity; prolonged viral RNA shedding of SARS‐CoV‐2 is detectable by RT‐PCR in patients recovering from COVID‐19 for up to 37 days. , Thus, detection of viral RNA does not necessarily reflect the presence of infectious virus and prolonged viral RNA detection following recovery does not necessarily indicate infectiousness.
Figure 2

Detection probability of viral RNA or antibody (IgA, IgM, and IgG) against SARS‐CoV‐2 during the course of infection (relative to symptom onset). The testing windows of nucleic acid amplification tests (RT‐PCR, blue) and serology tests (antibody, green) are indicated. Ig = immunoglobulin; RT‐PCR = real‐time reverse transcriptase polymerase chain reaction; SARS‐CoV‐2 = severe acute respiratory syndrome‐coronavirus 2. [Color figure can be viewed at wileyonlinelibrary.com]

Detection probability of viral RNA or antibody (IgA, IgM, and IgG) against SARS‐CoV‐2 during the course of infection (relative to symptom onset). The testing windows of nucleic acid amplification tests (RT‐PCR, blue) and serology tests (antibody, green) are indicated. Ig = immunoglobulin; RT‐PCR = real‐time reverse transcriptase polymerase chain reaction; SARS‐CoV‐2 = severe acute respiratory syndrome‐coronavirus 2. [Color figure can be viewed at wileyonlinelibrary.com] The implications of false‐negatives become increasingly significant as governments move forward with reopening and loosening stay at home restrictions. Recent studies have shed light and caution on the interpretation of negative test results (particularly early in the course of infection). One study demonstrated a highly variable false‐negative rate for SARS‐CoV‐2 RT‐PCR testing, suggesting 1 of 5 people suspected of having COVID‐19 may test negative based on pooled analysis of data from 7 studies. Therefore, waiting 1–3 days after symptom onset can lessen the chances of a false‐negative result. If there is high clinical suspicion for infection by SARS‐CoV‐2, then serial testing is recommended to reduce the false‐negative rate. Recent studies have begun to investigate clinical performance of SARS‐CoV‐2 molecular testing to determine optimal time frames for appropriate repeat testing with 1 study suggesting 15–20 days after a positive test and the same or next 2 days after a negative test in patients with a high suspicion for infection. Understanding the predictive value of NAAT with regard to time from exposure and symptom onset is important as the assay may not have been appropriately validated against a clinically meaningful reference standard for detecting SARS‐CoV‐2 in the absence of symptoms (during earlier stages of the disease) or in asymptomatic individuals. The sensitivity of a test must be high for adequate containment measures and assessment of clinical sensitivity in asymptomatic patients is warranted. Other limitations of RT‐PCR testing that can hinder use, include contamination issues, time‐consuming sample handling, and variable detection of SARS‐CoV‐2 depending on the type of clinical specimen. Commercial developers have been challenged to improve the real‐time PCR method and produce assays with ease of sample collection and/or processing and shorter run times to decrease turnaround times. This will enable tests to be conducted in the field at local hospitals, during doctor visits, and at mobile testing centers. In addition, the unprecedented need for testing resulted in a severe shortage of reagents and supplies, including collection swabs, transport media, extraction kits, and RT‐PCR enzyme mixtures. To circumvent shortages, suitable alternative solutions were investigated, such as comparing the use of various swabs and transport media for SARS‐CoV‐2 testing. Saliva as a noninvasive specimen for detection of SARS‐CoV‐2 represents a suitable reliable alternative to help ease the global shortage of swabs for sampling and personal protective equipment used during collection. , The first saliva‐based test, developed and validated by Rutgers University, was issued an EAU to allow testing of saliva specimens as an alternative to samples collected through swabbing.

High Throughput, Rapid Detection, and Point‐of‐Care Diagnostics

Many of the limitations seen in available testing modalities is the necessity for expensive bulky machines, trained technical staff, and reagents. These tests are most often performed in large laboratories at commercial diagnostic facilities or academic centers. Samples must therefore be sent to these laboratories, increasing both time and coordination. Improvements to the performance of the assay are available with the use of high throughput platforms, such as the cobas 6800/8800 systems, which involve an automated workflow to enable high throughput testing with minimal hands‐on time, and still offering fast, reliable results (e.g., 96 results in about 3 hours or 384 results for the cobas 6800 System and 960 results for the cobas 8800 System in 8 hours). Other diagnostics that use high throughput platforms for COVID‐19 testing that have received an EUA are listed on the FDA website. The FDA granted an EUA for the first point‐of‐care (POC) diagnostic, the Xpert Xpress SARS‐CoV‐2 test. The test comes as a self‐contained kit in which a patient sample is loaded into a cartridge system and gives a readout in 45 minutes without the need of additional reagents or trained personnel. This technology allows for medical personnel in the hospital to make rapid assessments and clinical decisions. Another POC diagnostic that received the FDA’s EUA is the Accula SARS‐CoV‐2 test, a handheld device that also uses PCR technology to detect SARS‐CoV‐2 in throat and nasal swab specimens. Specimens are added to a buffer to solubilize the samples and then an aliquot is dispensed in a cassette that contains the proper controls, enzymes, and reagents, as well as a detection strip for the assay that is automated from sample extraction to nucleic acid amplification. Test results are displayed by the visualization of blue test lines on the detection strip after 30 minutes. Perhaps the most rapid POC diagnostic kit with EUA approval from the FDA is the ID NOW COVID‐19 test, which delivers positive results within 5 minutes and negative results in 13 minutes. The platform eliminates thermocycling and performs isothermal nucleic acid amplification technology with a sequence‐specific fluorescent probe readout. All of the above POC tests enable the convenience of on‐site testing and rapid detection of SARS‐CoV‐2. Limitations of these POC testing systems are that they are not built for high throughput assessments, can often be more expensive than other options, and have variable sensitivity due to the more rapid nature of the test. Studies have been conducted to examine the performance of these POC tests compared with standard RT‐PCR or in detection of low levels of viral RNA. , One study (comparing Xpert Xpress, ID NOW, and the ePlex systems) found that although all 3 had 100% specificity (did not exhibit false‐positive results), Xpert Xpress performed well and had the lowest limit of detection and highest sensitivity, whereas the ePlex and ID NOW had lower sensitivities. Another study determined that the POC test (ID NOW) was less sensitive compared with the traditional RT‐PCR assay. Furthermore, to prepare for the upcoming flu season, diagnostic assays that can simultaneously detect for SARS‐CoV‐2 and the influenza virus to determine the cause of infection will be important to clinical treatment, infection control, and community mitigation efforts. A couple of these types of tests that have already been issued FDA EUAs include the BioFire Respiratory Panel 2.1 and QIAstat‐Dx Respiratory SARS‐CoV‐2 Panel tests that can detect SARS‐CoV‐2 and 21 additional viral and bacterial respiratory pathogens, including various influenza A subtypes.

Loop‐mediated Isothermal Amplification‐based and Clustered Regularly Interspaced Short Palindromic Repeats‐based Diagnostics

There is urgent need to develop a more rapid, accurate, and POC assay to control and minimize the spread of infection in the community. Alternative molecular detection techniques have used both loop‐mediated isothermal amplification (LAMP)‐based and clustered regularly interspaced short palindromic repeats (CRISPR)‐based methods. Reverse transcription loop‐mediated isothermal amplification (RT‐LAMP) method is another nucleic acid amplification technique that amplifies small numbers of DNA and RNA templates with high specificity and sensitivity under isothermal conditions. LAMP is a one‐step amplification reaction that requires no thermocycling steps, resulting in shorter “sample‐to‐answer” times than conventional PCR. Thus, the assay is ideally suited for field‐based nucleic acid diagnostics due to rapid results (usually 30–60 minutes) and minimal requirements for expensive instrumentation or reagents. Previous RT‐LAMP assays with improved specificity, visualization techniques, or readouts have been developed for detecting Middle East respiratory syndrome coronavirus (MERS)‐CoV and SARS‐CoV. Several LAMP‐based diagnostics are in the pipeline for detecting SARS‐CoV‐2 that have been developed by laboratories worldwide, including South Korea, , China, , , and the United Kingdom, as well as in the United States with LAMP and CRISPR technology developed in combination (discussed in the next section). A rapid colorimetric assay using RT‐LAMP is being developed for the qualitative detection of virus directly from saliva. The powerful genome editing technology known as CRISPR has also been recently exploited to develop rapid, inexpensive, POC diagnostics for COVID‐19 testing. The RNA‐targeting CRISPR associated enzyme Cas13 can be programmed to target and destroy single stranded RNA viruses. A platform termed specific high‐sensitivity enzymatic reporter unlocking (SHERLOCK) was developed to combine isothermal preamplification with Cas13 to detect single molecules of RNA or DNA. , The CRISPR‐Cas13‐based SHERLOCK COVID‐19 detection protocol searches for unique nucleic acid targets (SARS‐CoV‐2 ORF1ab and S genes) and uses a dipstick as the visual readout in less than an hour. This CRISPR‐based methodology tags the target SARS‐CoV sequences with a fluorescent probe. When the Cas13 enzyme recognizes the specific genetic sequences, it becomes activated to cut up all nearby RNA, including a “reporter” molecule added to the reaction, resulting in a signal, such as a measurable increase in fluorescence, which reveals the presence of viral genetic material. An adaptation that combines this detection methodology with microfluidic chips was recently developed and called the Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (CARMEN) platform. A single CARMEN‐Cas13 chip can be scaled to either detect a single type of virus in more than 1000 samples at a time or 160 different viruses in a small number of samples. Another similar CRISPR‐based test uses the DNA endonuclease‐targeted CRISPR trans reporter (DETECTR) platform combining RT‐LAMP with Cas12. The SARS‐CoV‐2 DETECTR protocol uses the N and E genes as targets with a similar visual lateral flow strip readout that enables viral RNA detection within 45 minutes. At the time of this writing, the SHERLOCK CRISPR SARS‐CoV‐2 is the first LAMP/CRISPR‐based diagnostic to receive FDA EUA status.

Antigen Detection Testing

The antigen test for SARS‐CoV‐2 is a diagnostic test designed for rapid detection of viral proteins (antigens). Although the main advantage of these antigen tests is the speed of the test, they are often plagued with inaccurate results and have lower sensitivity and specificity than nucleic acid assays. Previous rapid antigen tests for influenza (H1N1) and respiratory syncytial virus were found to be less sensitive compared with RT‐PCR. , Development of antibodies that are specific to viral antigens is often difficult and time‐consuming and antigen tests must undergo rigorous quality control measures to ensure specificity and sensitivity. Although antigen tests are very specific for the virus, they cannot detect all active infections and thus have a higher chance of false‐negatives than RT‐PCR. The FDA issued an EUA to the first antigen assay, the Sofia 2 SARS Antigen FIA test, which uses immunofluorescence‐based lateral flow technology in a sandwich design that is used to detect the viral nucleocapsid protein in nasopharyngeal and nasal swab specimens with test results in 15 minutes. Future research on the clinical performance of antigen testing compared to NAAT is highly encouraged to determine their diagnostic utility.

Serology Testing

Outside of nucleic acid amplification‐based diagnostics, serological or antibody tests for COVID‐19 is another promising testing modality. Both molecular and serological tests are intended for patients at different stages of the disease process with RT‐PCR for detection of current active infection and serology tests for later stages because these assays detect the presence of SARS‐CoV‐2 antibodies produced by the body’s humoral immune system. Serologic testing enables the understanding of how patients produce antibodies to SARS‐CoV‐2, and assays can detect immunoglobulin (Ig)A, IgM, IgG, or total antibody. Profiling of early humoral response in one study of patients with COVID‐19 determined that IgA and IgM antibodies can be detected as early as 5 days after new infection, with higher levels detected in the second and third weeks. , Other studies detected optimal IgM antibodies toward the end of the first week that peaked during the third week after symptom onset, and may correspond to the emergence of negative results by RT‐PCR tests as the viral load is cleared (Figure 2). , , , Another report determined earlier IgA seroconversion than IgM or that IgA is detected at higher levels than IgM. IgG antibodies become detectable later in the infection course around 7–14 days after symptom onset and levels remained relatively high until 6 weeks. , Although the data remain premature, a small study of 285 patients with COVID‐19 reported that 100% of patients tested positive for IgG within 20 days after symptom onset. Seroconversion for IgG and IgM occurred simultaneously or sequentially between the third and fourth weeks, and both levels plateaued within 6 days after seroconversion. Asymptomatic patients may seroconvert later in the course of infection or may not at all. Another study found that asymptomatic patients have significantly longer duration of viral shedding, lower IgG, and neutralizing serum antibody levels compared with the symptomatic group, suggesting that asymptomatic patients may mount a weaker antibody response and immunity may diminish within months of infection. Although these studies demonstrate variable antibody response, IgA/IgM antibodies seem to develop during the earlier stages (indicative of recent exposure) whereas IgG antibodies show up later in the course of SARS‐CoV‐2 infection. The association between antibody response and clinical course remains to be determined, and recent studies have proposed that antibody detection may be used as an indicator of the stage of COVID‐19 progression to aid in management of the disease. The dynamics of humoral response in different populations (mild vs severe illness) and understanding duration of immunity to SARS‐CoV‐2, as well as the assessment of neutralizing antibodies (and its relationship to protection from future infection) are ongoing investigations. There are two types of antibody tests: binding antibody detection and neutralizing antibody detection. The former uses purified proteins of SARS‐CoV‐2 to determine antibody binding coupled with one of the following platforms: colloidal gold‐based immunochromatographic assay (also known as lateral flow immunoassay, which is a POC test), chemiluminescent immunoassay (CIA), and enzyme‐linked immunosorbent assay (ELISA). Neutralizing antibodies prevent virus infection in vitro, and there are currently no FDA authorized neutralization tests for SARS‐CoV‐2. The FDA issued an EUA to the first antibody test, the Cellex qSARS‐CoV‐2 IgG/IgM Rapid Test. The lateral flow assay detects IgM and IgG antibodies to SARS‐CoV‐2 in serum, plasma, or whole blood specimens (not finger stick specimens), and results are read in 15–20 minutes. The test is conducted by CLIA laboratories and requires reporting of positive results to the public health authorities. Subsequent antibody tests have been granted EUAs using various platforms, including ELISAs and CIAs, and all authorized tests are qualitative rather than quantitative. A comprehensive listing of all commercially marketed antibody tests granted EUAs are updated on the FDA and FIND websites on a rolling basis.

Understanding Target Selection, Assay Sensitivity/Specificity, and Limitations

Serology tests are currently being developed for the detection of antibodies (in blood plasma or serum) to two main antigenic targets, the N protein and S protein, including subunits S1 and S2 as well as the receptor‐binding domain (RBD) of SARS‐CoV‐2. The target selection determines cross‐reactivity and specificity with N being more conserved across coronaviruses than S and within S, the RBD is more conserved than either subunit. Proper serology testing requires understanding the performance characteristics and limitations of these tests. Serological tests have varying levels of specificity and sensitivity and can detect past infections in those who are RT‐PCR negative. False‐positives can result from cross‐reactivity with preexisting antibodies from previous infections, such as other coronaviruses (229E, NL63, OC43, and HKU1 that cause the common cold; SARS‐CoV or MERS‐CoV; an antibody test with low specificity); whereas negative results may be due to antibodies that have not yet formed during the early stages of infections. Initial studies have shown that N and S1 protein ELISAs could detect SARS‐CoV‐2 with high specificity; RBD and N protein ELISAs are more sensitive than S1 assays in detecting antibodies in patients with mild infections. Researchers also found that antibodies to N protein are more sensitive than to S protein during early infection using a liquid phase immunoassay called luciferase immunoprecipitation systems. A meta‐analysis was recently conducted to investigate the performance of all available antibody tests and found that tests using the S antigen are more sensitive than N antigen‐based tests. A combined IgG/IgM test displayed better sensitivity than measuring either antibody type alone with ELISA tests being more sensitive than lateral flow immunoassays. A recent study found high sensitivity and specificity of the RBD for antibody detection and its strong association with SARS‐CoV‐2 neutralizing antibodies. Studies are ongoing to determine the clinical performance characteristics of various antibody tests across different platforms. , The prevalence of SARS‐CoV‐2 antibody positive individuals in the US population remains to be determined and is based on the different rates of infection across various locations and populations. The positive and negative predictive values (PPV and NPV) of antibody tests will affect the overall outcome of testing and are determined by the prevalence of the disease and the sensitivity/specificity of the test. PPV is the probability that a patient who tests positive truly has the disease and NPV is the chance that one who tests negative has not been infected. In the setting of low prevalence of SARS‐CoV‐2 infection, even a highly specific test can give a large number of false‐positives; thus, the PPV will be low. The FDA has summarized the expected performance of the tests it has authorized based on the information the FDA reviewed when deciding whether or not to grant these tests an EUA and assuming a prevalence of 5% for PPV and NPV calculations. We refer the reader to the FDA’s website for the performance characteristics of the individual tests that have received EUA status (https://www.fda.gov/medical‐devices/emergency‐situations‐medical‐devices/eua‐authorized‐serology‐test‐performance). Antibody response against SARS‐CoV‐2 remains poorly understood and the clinical utility of tests is unclear until the assays are properly validated to demonstrate their accuracy. Massive efforts are currently underway to conduct large‐scale validation studies on the performance of these assays, which is critical before they can be used in seroprevalence studies for disease surveillance. A collaborative effort by the FDA, National Institutes of Health (NIH), CDC, and Biomedical Advanced Research and Development Authority (BARDA) is currently underway to conduct the performance assessments and establish the validity of serological tests against a well‐characterized set of clinical samples collected before and during the pandemic and correlate them with neutralization assays. The validation dataset is published on the openFDA website (https://open.fda.gov/apis/device/covid19serology/). Properly validated accurate tests can then potentially be used in the future as a public health surveillance tool to monitor the epidemiological spread of COVID‐19, as a risk assessment tool to screen for immunity, or as a screening tool to identify donor patients who have antibodies for convalescent plasma treatment.

At‐Home Sample Collection

Some companies have been developing at‐home sample packs. These test kits would include the necessary components and instructions to properly obtain a nasal swab sample while at home. The kits would then be mailed to a central laboratory for testing. On April 21, 2020, the FDA authorized the first molecular diagnostic test with a home collection option for LabCorp’s RT‐PCR assay to permit testing of samples self‐collected by patients at home using the company’s home collection kit. Subsequently, Rutgers University also received EUA designation for its at‐home saliva self‐collection assay. Everlywell’s COVID‐19 Test Home Collection Kit is the first standalone sample collection kit (for self‐collecting a nasal sample at home) to be granted an EUA and can be paired with any authorized NAAT at any laboratory. At‐home collection provides an additional solution that limits exposure and keeps patients isolated. However, there are still some concerns that may need to be addressed. The availability of nasopharyngeal swab supplies may pose an issue if the test needs to continue to expand and swabs used for in‐person testing are in short supply in some regions. Companies would need to develop alternative methods of sample collection, such as the use of oral swabs or finger stick whole blood serology tests to provide some relief for the swab‐based tests. Improper self‐collection may affect specimen quality and subsequent test results. At‐home sample collection may encounter issues with poor sampling and ongoing studies will need to examine whether samples (saliva, dried blood spot, and swabs) self‐collected by patients at home and monitored by a provider through telehealth are sufficient specimens for molecular and serology SARS‐CoV‐2 testing. Additional limitations to these tests are the time incurred in shipping the test kits as well as the time for the laboratory assessment.

Conclusions

In the face of a pandemic, testing, contact tracing, and isolation are all important parameters to contain the spread of COVID‐19. Although much is unknown about the new coronavirus, it is with certainty that SARS‐CoV‐2 infection with be a recurring disease. Mounting evidence from recent studies demonstrate the existence of viral transmission from presymptomatic and asymptomatic patients. In the latter scenario, expansive testing remains a priority on the global level. Widespread testing must increase in order to effectively enact isolation procedures and contact tracing measures to detect asymptomatic infections in order to break transmission chains and attempt to flatten the curve. The NIH (in partnership with the FDA, CDC, and the Biomedical Advanced Research and Development Authority) launched a national innovation initiative for COVID‐19 diagnostics called the Rapid Acceleration of Diagnostics (RADx). The RADx initiative is aimed at speeding innovation, development, and commercialization of COVID‐19 testing technologies with the overall goal of speeding up the development of rapid and widespread testing. The National Cancer Institute (in collaboration with the National Institute of Allergy and Infectious Diseases and other NIH and the US Department of Health and Human Services [DHHS] partnerships) recently established the Serological Sciences Network for COVID‐19 (SeroNet) to address the urgent need to increase our understanding of the mechanisms driving the serological, humoral, and cellular immune responses to SARS‐CoV‐2 infection in order to inform the development of novel serological tests. Moreover, the US DHHS has authorized pharmacists, under the Public Readiness and Emergency Preparedness Act, to order and administer SARS‐CoV‐2 testing. In the foreseeable future, pharmacies and pharmacists, being the most accessible health care providers, can greatly contribute to expanding testing efforts. In order for the United States and the global community to continue having a positive effect on the infection curve and bring the pandemic under control, we must increase our testing capacity, which can only be made possible through improvements in clinical diagnostics and testing technology as well as access to these tools.
  63 in total

Review 1.  Diagnostic Accuracy of Rapid Antigen Detection Tests for Respiratory Syncytial Virus Infection: Systematic Review and Meta-analysis.

Authors:  Caroline Chartrand; Nicolas Tremblay; Christian Renaud; Jesse Papenburg
Journal:  J Clin Microbiol       Date:  2015-09-09       Impact factor: 5.948

2.  Evidence Supporting Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 While Presymptomatic or Asymptomatic.

Authors:  Nathan W Furukawa; John T Brooks; Jeremy Sobel
Journal:  Emerg Infect Dis       Date:  2020-06-21       Impact factor: 6.883

3.  Multicenter Evaluation of the Cepheid Xpert Xpress SARS-CoV-2 Test.

Authors:  Michael J Loeffelholz; David Alland; Susan M Butler-Wu; Utsav Pandey; Carlo Frederico Perno; Alice Nava; Karen C Carroll; Heba Mostafa; Emma Davies; Ashley McEwan; Jennifer L Rakeman; Randal C Fowler; Jean-Michel Pawlotsky; Slim Fourati; Sukalyani Banik; Padmapriya P Banada; Shobha Swaminathan; Soumitesh Chakravorty; Robert W Kwiatkowski; Victor C Chu; JoAnn Kop; Rajiv Gaur; Mandy L Y Sin; Duy Nguyen; Simranjit Singh; Na Zhang; David H Persing
Journal:  J Clin Microbiol       Date:  2020-07-23       Impact factor: 5.948

4.  Sensitivity in Detection of Antibodies to Nucleocapsid and Spike Proteins of Severe Acute Respiratory Syndrome Coronavirus 2 in Patients With Coronavirus Disease 2019.

Authors:  Peter D Burbelo; Francis X Riedo; Chihiro Morishima; Stephen Rawlings; Davey Smith; Sanchita Das; Jeffrey R Strich; Daniel S Chertow; Richard T Davey; Jeffrey I Cohen
Journal:  J Infect Dis       Date:  2020-06-29       Impact factor: 5.226

5.  SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients.

Authors:  Lirong Zou; Feng Ruan; Mingxing Huang; Lijun Liang; Huitao Huang; Zhongsi Hong; Jianxiang Yu; Min Kang; Yingchao Song; Jinyu Xia; Qianfang Guo; Tie Song; Jianfeng He; Hui-Ling Yen; Malik Peiris; Jie Wu
Journal:  N Engl J Med       Date:  2020-02-19       Impact factor: 91.245

6.  A new coronavirus associated with human respiratory disease in China.

Authors:  Fan Wu; Su Zhao; Bin Yu; Yan-Mei Chen; Wen Wang; Zhi-Gang Song; Yi Hu; Zhao-Wu Tao; Jun-Hua Tian; Yuan-Yuan Pei; Ming-Li Yuan; Yu-Ling Zhang; Fa-Hui Dai; Yi Liu; Qi-Min Wang; Jiao-Jiao Zheng; Lin Xu; Edward C Holmes; Yong-Zhen Zhang
Journal:  Nature       Date:  2020-02-03       Impact factor: 49.962

7.  Analytical sensitivity and efficiency comparisons of SARS-CoV-2 RT-qPCR primer-probe sets.

Authors:  Chantal B F Vogels; Anderson F Brito; Anne L Wyllie; Joseph R Fauver; Isabel M Ott; Chaney C Kalinich; Mary E Petrone; Arnau Casanovas-Massana; M Catherine Muenker; Adam J Moore; Jonathan Klein; Peiwen Lu; Alice Lu-Culligan; Xiaodong Jiang; Daniel J Kim; Eriko Kudo; Tianyang Mao; Miyu Moriyama; Ji Eun Oh; Annsea Park; Julio Silva; Eric Song; Takehiro Takahashi; Manabu Taura; Maria Tokuyama; Arvind Venkataraman; Orr-El Weizman; Patrick Wong; Yexin Yang; Nagarjuna R Cheemarla; Elizabeth B White; Sarah Lapidus; Rebecca Earnest; Bertie Geng; Pavithra Vijayakumar; Camila Odio; John Fournier; Santos Bermejo; Shelli Farhadian; Charles S Dela Cruz; Akiko Iwasaki; Albert I Ko; Marie L Landry; Ellen F Foxman; Nathan D Grubaugh
Journal:  Nat Microbiol       Date:  2020-07-10       Impact factor: 30.964

8.  Antibody Responses to SARS-CoV-2 in Patients With Novel Coronavirus Disease 2019.

Authors:  Juanjuan Zhao; Quan Yuan; Haiyan Wang; Wei Liu; Xuejiao Liao; Yingying Su; Xin Wang; Jing Yuan; Tingdong Li; Jinxiu Li; Shen Qian; Congming Hong; Fuxiang Wang; Yingxia Liu; Zhaoqin Wang; Qing He; Zhiyong Li; Bin He; Tianying Zhang; Yang Fu; Shengxiang Ge; Lei Liu; Jun Zhang; Ningshao Xia; Zheng Zhang
Journal:  Clin Infect Dis       Date:  2020-11-19       Impact factor: 9.079

9.  Evaluation of a quantitative RT-PCR assay for the detection of the emerging coronavirus SARS-CoV-2 using a high throughput system.

Authors:  Susanne Pfefferle; Svenja Reucher; Dominic Nörz; Marc Lütgehetmann
Journal:  Euro Surveill       Date:  2020-03

10.  Performance Characteristics of Four High-Throughput Immunoassays for Detection of IgG Antibodies against SARS-CoV-2.

Authors:  Elitza S Theel; Julie Harring; Heather Hilgart; Dane Granger
Journal:  J Clin Microbiol       Date:  2020-07-23       Impact factor: 5.948

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  30 in total

Review 1.  Advances in diagnostic tools for respiratory tract infections: from tuberculosis to COVID-19 - changing paradigms?

Authors:  Zoran Stojanovic; Filipe Gonçalves-Carvalho; Alicia Marín; Jorge Abad Capa; Jose Domínguez; Irene Latorre; Alicia Lacoma; Cristina Prat-Aymerich
Journal:  ERJ Open Res       Date:  2022-09-12

Review 2.  Lessons from SARS‑CoV‑2 and its variants (Review).

Authors:  Ziwen Qin; Yan Sun; Jian Zhang; Ling Zhou; Yujuan Chen; Chuanjun Huang
Journal:  Mol Med Rep       Date:  2022-06-22       Impact factor: 3.423

Review 3.  Commercialized diagnostic technologies to combat SARS-CoV2: Advantages and disadvantages.

Authors:  Briza Pérez-López; Mònica Mir
Journal:  Talanta       Date:  2020-12-03       Impact factor: 6.556

4.  Practical Considerations for Implementation of SARS-CoV-2 Serological Testing in the Clinical Laboratory: Experience at an Academic Medical Center.

Authors:  Robert M Humble; Anna E Merrill; Bradley A Ford; Daniel J Diekema; Matthew D Krasowski
Journal:  Acad Pathol       Date:  2021-04-07

5.  Point-of-care rapid antigen testing for COVID-19 at a tertiary eye care facility: Role in commencement of elective surgeries, contact tracing and implementation of back-to-work policy.

Authors:  Devjyoti Tripathy; Avik Kumar Roy; Rohit C Khanna; Subhadra Jalali; Bharat Panigrahy; Deepthi Chandran Parija; Suryasnata Rath
Journal:  Indian J Ophthalmol       Date:  2021-04       Impact factor: 1.848

6.  Current state of diagnostic, screening and surveillance testing methods for COVID-19 from an analytical chemistry point of view.

Authors:  Julia Martín; Noelia Tena; Agustin G Asuero
Journal:  Microchem J       Date:  2021-04-19       Impact factor: 4.821

7.  Telehealth services support community during the COVID-19 Outbreak in Iran: Activities of Ministry of Health and Medical Education.

Authors:  Alireza Hajizadeh; Elham Monaghesh
Journal:  Inform Med Unlocked       Date:  2021-04-07

8.  A Citywide Approach to SARS-CoV2 Testing.

Authors:  John P Broach; Monica Lowell; Olga Brown; Clayton Martin; Michelle Muller; Jeanne Shirshac; Domenica Perrone; Will Smith; Matilde Castiel; Kimiyoshi J Kobayashi; Cheryl M Lapriore; Eric W Dickson; Kavita M Babu
Journal:  Front Public Health       Date:  2021-06-30

9.  The RADx Tech Test Verification Core and the ACME POCT in the Evaluation of COVID-19 Testing Devices: A Model for Progress and Change.

Authors:  Eric Nehl; Stacy Heilman; David Ku; David Gottfried; Sarah Farmer; Robert Mannino; Erika Tyburski; Julie Sullivan; Allison Suessmith; Leda Bassit; Janet Figueroa; Anna Wood; Traci Leong; Anuradha Rao; Beverly Rogers; Robert Jerris; Sunita Park; Mark Gonzalez; Jennifer Frediani; Claudia Morris; Joshua Levy; Nils Schoof; Maud Mavigner; John Roback; Kristen Herzegh; Natia Saakadze; Jess Ingersoll; Narayana Cheedarla; Andrew Neish; Bradley Hanberry; Christopher Porter; Annette Esper; Russell Kempker; Paulina Rebolledo; Pamela McGuinness; Frederick Balagadde; Rebecca Gore; Ainat Koren; Nira Pollock; Eugene Rogers; Karl Simin; Nathaniel Hafer; Mary Ann Picard; Chiara Ghezzi; David McManus; Bryan Buchholz; Christina Rostad; Viviana Claveria; Thanuja Ramachandra; Yun F Wang; CaDeidre Washington; Cheryl Stone; Mark Griffiths; Ray Schinazi; Ann Chahroudi; Miriam Vos; Oliver Brand; Greg Martin; Wilbur Lam
Journal:  IEEE Open J Eng Med Biol       Date:  2021-04-28

10.  Performance evaluation of serological assays to determine the immunoglobulin status in SARS-CoV-2 infected patients.

Authors:  Christian Wechselberger; Susanne Süßner; Stefan Doppler; David Bernhard
Journal:  J Clin Virol       Date:  2020-08-11       Impact factor: 3.168

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