Abstract
The aggressive outbreak of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) as COVID-19 (coronavirus disease-2019) pandemic demands rapid and simplified testing tools for its effective management. Increased mass testing and surveillance are crucial for controlling the disease spread, obtaining better pandemic statistics, and developing realistic epidemiological models. Despite the advantages of nucleic acid- and antigen-based tests such as accuracy, specificity, and non-invasive approaches of sample collection, they can only detect active infections. Antibodies (immunoglobulins) are produced by the host immune system within a few days after infection and persist in the blood for at least several weeks after infection resolution. Antibody-based tests have provided a substitute and effective method of ultra-rapid detection for multiple contagious disease outbreaks in the past, including viral diseases such as SARS (severe acute respiratory syndrome) and MERS (Middle East respiratory syndrome). Thus, although not highly suitable for early diagnosis, antibody-based methods can be utilized to detect past infections hidden in the population, including asymptomatic ones. In an active community spread scenario of a disease that can provide a bigger window for mass detections and a practical approach for continuous surveillance. These factors encouraged researchers to investigate means of improving antibody-based rapid tests and employ them as reliable, reproducible, sensitive, specific, and economic tools for COVID-19 mass testing and surveillance. The development and integration of such immunoglobulin-based tests can transform the pandemic diagnosis by moving the same out of the clinics and laboratories into community testing sites and homes. This review discusses the principle, technology, and strategies being used in antibody-based testing at present. It also underlines the immense prospect of immunoglobulin-based testing and the efficacy of repeated planned deployment in pandemic management and post-pandemic sustainable screenings globally.
Keywords: antibody, immunoglobulin, COVID-19, SARS-CoV-2, Point of Care Test, PoCT, population surveillance
1. Introduction
The outbreak of coronavirus disease-2019 (COVID-19) has rapidly spanned the world, with over 39 million reported cases and 1 million deaths (as of 16 October 2020) across multiple countries [1]. The severity of the disease in diagnosed patients has broad variations ranging from asymptomatic carriers, or mild cases needing supportive care, to severe cases requiring extracorporeal membrane oxygenation [2]. The patients with symptom onset are reported to be most contagious and to shed the virus [3]. However, as clinical testing capacities increase, numbers of asymptomatic or pre-symptomatic cases keep skyrocketing. This jeopardizes proper screening and transmission-control. This especially poses a serious challenge since governments and regulatory bodies relax stay-at-home orders and reopen partially. In some cases, decision-makers are being forced to revert their reopening plans on account of increasing case numbers. Surveillance and largescale accessible diagnostics always play an important part to curb the spread of infectious pathogens and reduce mortality during an outbreak such as this [4,5]. During past outbreaks, the lack of a rapid and simple serological test limited past infection tracing and assessment of overall health impacts. A reliable immunoglobulin (antibody)-based surveillance plan that can detect even past and non-active infections can help understand community spread dynamics and the level of susceptibility in a specific population or region [6]. These tests detect the presence of specific proteins called antibodies or immunoglobulins produced in response to antigen/s of the pathogen [7]. Moreover, antibody-based diagnostic tests at mass scale can help gather epidemiological data on infected cases, and track them for possible COVID-19 associated complications such as cardiovascular [8,9,10,11], neurological [12,13,14,15], and other unknown pathophysiological conditions [16].
To date, there are several strategies for diagnosing COVID-19, which are mainly based on viral nucleic acid [17,18,19,20] or antigen detection [21], and detection of the host’s immunological responses [22]. Figure 1 illustrates the most widely used diagnostic tests for COVID-19. All these tests have their own advantages and shortcomings. Real-time polymerase chain reaction (RT-PCR), despite its unbeatable accuracy and precision, has limitations such as the requirement of highly trained technicians, laboratory equipment, and/or high expense and time required per test [23]. The shortage or unavailability of reagents for RNA extraction from the virus is another challenge [23]. Unlike RT-PCR, emerging reverse transcription loop-mediated isothermal amplification (RT-LAMP) can complete the reactions within an hour, with limited resources, and without highly skilled technicians. However, the efficacy of RT-LAMP, just like other molecular diagnostic methods such as recombinase polymerase amplification (RPA) and clustered regularly interspaced short palindromic repeats-based (CRISPR-based) detection, is largely limited by the precision in primer designs and specificity of other tools [24]. Enzyme-linked immunoassay (ELISA)-based antigen or antibody detection is also limited by lengthy protocols and the requirement of expensive lab equipment. Antigen tests are recently being introduced as a rapid diagnostic tool to screen community spread of the pandemic [25]. Limit of Detection (LoD) for antigen tests tend to be higher than that of nucleic acid amplification (NAA) [26]. Despite the questions regarding the sensitivity, among the currently available methods, lateral flow antigen tests are the fastest and can be performed by any healthcare professional without additional training [27].
Both NAA and antigen-based tests can only diagnose currently active cases with significant viral shedding. Antibody-based tests, on the other hand, can trace past infections. They are cheap, uncomplicated, faster than RT-PCR (the universally accepted gold-standard for coronavirus diagnosis), and can be deployed in remote areas. The testing tools can be easily acquired and standardized [28,29]. There are also published studies validating serological tests, including virus-specific IgM (Immunoglobulin M) and IgG (Immunoglobulin G), during past viral epidemics such as SARS (severe acute respiratory syndrome) [30,31]. An antibody-based test with a reliable threshold value of specificity and sensitivity, when performed repeatedly in conjunction with contact tracing, can prove valuable in formatting public policies and mass preventative measures during reopening phases [32,33]. Additionally, moving initial diagnosis for COVID-19 from a limited number to a large population can help understand community spread dynamics and disease history. That can, subsequently, facilitate obtaining the real statistics of the pandemic, providing better treatments and minimizing the long-term manifestations of infection. Altogether, these can be potentially transformative in formulating better predictive models and preventative policies to improve the quality of life during post COVID-19 stage.
Several companies and research groups are validating, producing, and marketing lateral flow antibody assays as rapid point-of-care tests to identify active COVID-19 cases [34]. However, the ability of antibody tests to accurately detect exposure to the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) relies on their sensitivity and specificity, which can vary significantly between different assays. Furthermore, these tests are less likely to detect patients in the early stages of the disease. Despite these factors, the widespread use of serology tests as rapid point of care tests (PoCTs) could reveal the actual number of infections and infection mortality rates. These results can inform researchers of the complete disease statistics and help in designing better epidemiological models. This article presents a comprehensive review of the background and present developments in antibody-based mass testing. It also emphasizes the profound importance of developing robust and accurate tests and how judicious usage can serve the purpose of effective population surveillance and post-pandemic management.
2. The Relevance of Rapid Tests in a Pandemic Diagnosis and Surveillance
Diagnosis, as well as monitoring of diseases, are the essential factors for clinical management, especially during outbreaks. The primary necessity in a pandemic scenario understandably constitutes of easy, rapid, and field-deployable mass testing tools. The various attributes of quick testing approaches that make them relevant are:
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They can be accessed in rural and urban settings, developed, and developing countries alike, like a simple blood glucometer or pregnancy strip test.
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They can be used for the mass diagnosis utilizing rapid tests that prevent patient leakage as diagnosis and following remediation steps can happen simultaneously.
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They can significantly reduce the turnaround time for test results, which becomes crucial in a community transmissible disease outbreak.
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They can be combined with biostatistical and bioinformatics analysis, which facilitate the quick recording of an enormous number of test results, data storage for easy reference and practical use for constant patient monitoring.
In past episodes of viral and non-viral contagious disease outbreaks, conventional methods such as biochemical assays, pathogen culturing, ELISA, RT-PCR, and other nucleic acid amplification tests (NAATs) [35] have played a significant role. Their major negative aspects are that they are time-consuming and expensive [36]. Moreover, such tests were not suitable to identify or track past infections for recognizing and mitigating the after-effects of the infection on a community basis. Nonetheless, during an ever-evolving transmissible viral pandemic, such as the current one, complete community-based initial diagnosis is not practicable, especially for asymptomatic patients. In view of that fact, antibody-based rapid tests can be the first line of practicable mass testing.
Compared to laboratory-based thorough testing protocols, which can be used for a greater accuracy on a shortlisted number of patients, a rapid test poses a considerable advantage. Rapid tests such as antibody-based ones also have a great prospect in mass surveillance or in past infection screening from a public health perspective [37].
3. Evolution of Antibody-Based Mass Testing
In 1917, Dochez and Avery were the first to report the utilization of immunoassay at a mass scale for the diagnosis of infectious diseases while testing for pneumococcal polysaccharide in patients with lobar pneumonia [38]. The introduction of radioimmunoassay (RIA) in 1960 and the ELISA in 1971 added higher sensitivity to the immunoassays for antigen or antibody-based disease diagnosis [39,40,41]. Subsequent early innovations comprised of immunoassays dependent on capillary migration in cellulose acetate sheets as a structural support, and coupling of antibodies to colloidal gold or latex [42,43]. Further, progress in this field resulted in the development of more advanced technologies such as the lateral flow immunoassay (LFIA) platform [44,45,46] (Figure 2). Sandwich immunoassays have been the basis for the development of rapid diagnostic tools for various infectious diseases [47,48,49,50]. The test kits for HIV-1/2 or hepatitis C virus follows a LFIA format that consists of a strip of an immobilized target antigen to which the patient antibodies bind [51,52,53,54,55]. A labeled reporter, such as a second targeted antibody is used for detecting the patient antibody.
Several tests obtained a Clinical Laboratory Improvement Amendments (CLIA) waiver that permitted their largescale use as rapid test tools and could be adopted even by the least developed nations [52,56]. The OraQuick Advance Rapid HIV-1/2 antibody test is an FDA approved test for HIV using a non-invasive, easy, at-home method for sample collection [52]. Similarly, the adoption of rapid tests for malaria diagnosis resulted in safeguarding the lives of hundreds of thousands of people, even in the most under-developed countries [57,58]. Another substantial improvement in antibody-based rapid diagnostic methods was the incorporation of nanotechnology-principles [59]. Nanomaterials have a high surface-to-volume ratio making them suitable candidates for target-specific attachment to the likes of antigen–antibody complexes, thereby increasing the sensitivity of tests [60,61]. The application of nano-diagnostics can hugely revolutionize the concept of accuracy and specificity in rapid antibody detection. Over the years, global health agencies have taken an increasing interest in infectious disease diagnosis using this robust, reproducible, and affordable means even in developing countries [61,62,63,64].
Despite shortcomings, antibody tests have the proven advantage over NAA- or antigen-based techniques in detecting otherwise hidden past infections within several weeks to few months. This can be immensely crucial to gauge the true infection numbers and more realistic disease statistics as it is difficult to diagnose all patients during their active infection phase.
4. Antibody-Based Tests for SARS and MERS: A Basis for COVID-19 Testing
Antibody-based diagnosis have historically been used in the detection of viruses, including Ebola [28], Epstein-Barr [65], and Zika [66]. Immunoglobulin testing methods have also found applications in the diagnosis of several coronaviruses. Earlier, coronaviruses were associated with the common cold and other mild ailments in humans [67,68], until they took the form of aggressive outbreaks in the 21st century viz. severe acute respiratory syndrome (SARS) [69], Middle East respiratory syndrome (MERS) and currently COVID-19 [70] (World Health Organization, 2020). SARS-CoV and MERS-CoV, the causal viruses for SARS and MERS, respectively, were both zoonotic in origin just like SARS-CoV-2, and they followed similar etiologies, causing mass infections of epidemic proportions [71]. MERS, however, followed a sporadic zoonotic spread and had restricted chains of human spread [72]. Although MERS did not spread much beyond the Middle East and did not cause global panic, the mortality rate was reported to be ~35% [73]. This episode following SARS, indicated the possibility of recurrence of infectious human coronaviruses globally. In 2017, the World Health Organization (WHO) included SARS-CoV and MERS-CoV in its Priority Pathogen list, to promote scientific investigations and develop rapid mass diagnostic measures for similar outbreaks. Indeed, the countermeasures for SARS-CoV-2 largely utilized SARS-CoV and MERS-CoV as prototypes [74].
All infections due to coronaviruses have some similarities at the level of immunological response (Figure 3A). During the acute phase of illness (1–7 days), detectable specific antibody responses against coronaviral infections were rarely observed [75,76,77]. Marked augmentations in antibody titers were observed after the second or third week of infection due to HCoV-229E, MERS-CoV, and SARS-CoV infections [78,79,80,81]. In case of SARS-CoV, a very long immunological response was observed. In symptomatic patients, there was a significant decrease in IgM antibody content after 150 days of symptoms [82,83,84], whereas IgG titer started to diminish after as late as 200 days. MERS serology studies revealed a similar profile between IgM and IgG [85,86,87]. A steady increase in both IgM and IgG concentration for 2–3 weeks was observed before a decline. In the case of COVID-19, IgM expression started between 3–6 days after infection and peaked during 9–15 days of the occurrence of symptoms [88,89,90,91]. IgG expression began after 10 days of symptoms and peaked between 20–30 days after the event of symptoms. IgM and IgG profiles considerably varied between acute, severe, and critical patients (Figure 3B). However, asymptomatic patients show significant variations in antibody profiles ranging from the lower level of expression to rapid clearance from the blood [92]. Over the years, healthcare experts have been dependent on both binding assays (ELISA, western blotting, immunofluorescence assay) and neutralization assays to detect the activities of different isotypes like IgM, IgG, and IgA (Immunoglobulin A). Clinically, IgM- and IgG-based assays are most relevant. Determining the time-window for symptom onset and detection of antibodies against major viral disease outbreaks of this century [93], have been big steps following the successful employment of antibody-based diagnosis. Soon after the occurrence of symptoms, both viral RNA and proteins (antigens), especially the spike protein, are detected in the nasopharyngeal samples (Figure 3C). Thus, NAATs and antigen tests are most effective during the first week of infection. In contrast, they cannot give reliable results as the viral shedding and antigen generation decreases after ten days. Although antibody production by the host’s immune system begins after a few days, antibody detections become more dependable after 14 days since infection onset.
In case of SARS-CoV, the primary antibody detection methods included ELISA, Indirect Immunofluorescence Assay (IFA), and neutralization tests (NT) [95,96]. ELISA can detect a blend of IgM and IgG antibodies formed within about 11 days of initial infection but involves a long protocol. IFA consists of binding of IgM and IgG antibodies present in the patient’s serum with specific labeled antigens or synthetic epitopes present in the test reagent. Subsequently formed antigen–antibody complexes can be visualized and imaged under a microscope [97,98]. NT is a quantitative test that titrates the neutralizing capability of patient sera [99], and can provide the best correlate of immunity. However, these tests can only be performed in biosafety level 3 (BSL 3) labs as they use viral particles. Pseudoparticle neutralization assays that use viral antigen mimicking nanoparticles can be performed without BSL 3 facility [100]. Furthermore, immunodot that is capable of detecting IgA, IgM, and IgG, on the same principle as western blotting using synthetic peptides and recombinant proteins, comes at a lower cost [79,101].
ELISA and microneutralization assays using MERS virus cultured in Vero cells showed a high degree of sensitivity and specificity [102,103] in detecting MERS virus too. On average, the antibodies to MERS-CoV virus were detected after 10 days of the onset of the disease. Clinical observations showed that around 42% of the results, which were tested negative for MERS-CoV by RT-PCR, were found to be MERS-positive by immunoglobulin based PoCT such as immunofluorescence assays and microneutralization [104]. Thus, combining antibody-based tests with NAA was a crucial step in MERS diagnosis.
Despite the positive reports and advantages as described, no single antibody test kit could be universally approved and commercially available for mass-testing in either of the two outbreak episodes of SARS and MERS. This was primarily due to their inability to pass the threshold sensitivity and specificity requirement for better positive and negative predictive values. That, in fact can serve as a lesson, inducing wider collaborations and investments to achieve higher standards for SARS-CoV-2 antibody detection kits.
5. Development and Status of Immunoglobulin-Based Rapid Tests for COVID-19
In the wake of a global crisis in late 2019 and evolution into the COVID-19 pandemic, a pressing need for a quick and reliable mass diagnosis method was felt by researchers, healthcare workers, and regulatory bodies around the world [105]. Based on existing knowledge and experiences during past viral outbreaks, the development of a scalable and rapid antibody test to be used for mass diagnosis and surveillance seemed like a logical approach. After SARS-CoV-2 enters the human body, it migrates to the respiratory tract, and finally infects alveolar type-II cells of lungs causing Acute Respiratory Distress Syndrome (ARDS) [106]. The immune system produces IgM, IgG, and neutralizing antibodies, which can block the virus from entering cells. Useful antibody tests are designed to detect the presence of SARS-CoV-2-specific antibodies in the blood [73,107,108,109,110].
The approaches that could be used for antibody-based COVID-19 detection are broad and are as follows:
- Binding antibody detection: these tests use specific reagents against individual isotypes such as IgM, IgG, IgA, and are tested against purified viral proteins in BSL2 laboratories.
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(a)The rapid tests or PoCTs utilize lateral flow devices for individual or combined antibody detection.
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(b)The laboratory assays are based on ELISA or chemiluminescent immunoassay (CIA).
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- Neutralizing antibody assay: these tests involve infecting and incubating cultured cells with the virus isolated from patient samples, and then determining the functional ability of antibodies to prevent infections in vitro.
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(a)Virus neutralization tests use plaque reduction or microneutralization on clinical isolates.
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(b)Pseudovirus neutralization tests, on the contrary, use recombinant pseudoviruses.
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When compared to rapid strip-based tests, the other ones are better in terms of specificity and accuracy. Still, they are limited by the need for either BSL2 or BSL3 facilities along with specialized tools. Lab-based tests also require trained personnel. Neutralization assays specifically are 4–5 days long procedures.
A recent study by Chen et al. demonstrated that among antibody responses against receptor-binding domain (RBD), spike glycoprotein type 1 (S1), ectodomain (ECD), and nucleoprotein (NP) [111] ECD- and S1-specific IgA show neutralizing potential. This study also indicated that simultaneous detection of NP-specific IgM and ECD-specific IgG could significantly improve the overall sensitivity. This combined effect was more apparent in the early phase of infection (first two weeks of symptom onset) which could be associated with development of an NP- or RBD-specific IgA immune response in the early phase of infection and late development of IgM and IgG responses [112,113]. The binding assays are directed towards the NP or S protein of SARS-CoV-2 virus, those epitopes being more or less conserved (primarily the receptor-binding domain or RBD of S-protein). There still can be some degree of cross-reactivity. Despite the fact that there can be false positives and false negatives, a rapid serology test, as long as it has a threshold specificity (>99.5%) and sensitivity (>90%), can serve the purpose of mass testing and surveillance according to regulatory bodies such as CDC. Many manufacturers are currently marketing COVID-19 antibody test kits for diagnostic purposes [114]. Considering test shortages, employers, health systems, and government bodies have been quick to buy. However, it is to be noted that the serological tests cannot serve as an independent diagnostic tool owing to possible false-negative results during early, yet contagious and symptomatic period, or in immuno-compromised individuals. Furthermore, since SARS-CoV-2 was a novel virus to invade humans, there was no existing data on the prognosis or host immunological responses to begin with. In addition to improving the quality of rapid tests and validating their accuracy to detect the SARS-CoV-2 antibody, a thorough understanding of the antibody dynamics was required.
As reported by Irani et al., in a correspondence to Nature Medicine, published on 16 March 2020, the antibody-secreting cells (ASCs) registered an increase since day 7 after symptomatic presentation and were still detectable at convalescence on day 20 [115]. Activation of CD8+ T cells and CD4+ follicular T cells which is crucial for synergistic response to infection and inoculation by viral agents [116,117] was also observed. In this study, the singular non-severe, symptomatic patient showed resolution of symptoms at day 13 and was under observation till day 20. The patient’s IgM and IgG antibodies showed a progressive increase. In a similar index case study done in Finland, immunofluorescence assay (done on Vero E6 cells infected with SARS-CoV-2) showed the occurrence of neutralizing antibodies, including targeted IgM and IgG after 9 days. IgG titers showed an increase from 80 to 1280 between day nine and twenty from the onset of symptoms [118].
There are several studies that validated the sensitivity and specificity of various commercially available antibody COVID-19 tests [119]. Some of the important ones are given in Table 1. The findings from 34 hospitalized patients presenting an acute symptomatic phase of COVID-19 suggested that at least 32 patients showed a trend of increasing IgM and IgG up to a month after symptom onset, with IgM reaching the average highest expression after three weeks (322.80AU/ml, ref: <10 AU/mL) [89]. IgG production started following IgM, but that continued registering a steady presence (167.16 AU/mL) up until the last testing time point of seven weeks, while IgM expression declined after week four. In another study, published around the same time: at 5.5 days after initial symptoms, the detection efficiency of IgM via ELISA surpassed that of qPCR [120]. They combined the detection of IgA with the other two IgGs and found that it followed a similar expression pattern as IgM (initial detection ~5 days). At the same time, IgG was detectable at around the usual 14 days. The dynamic range of IgM and IgG was also quantified in serum samples of 85 confirmed (RT-PCR detectable) and 24 suspected patients of COVID-19 at Union Hospital, Tongji Medical College of China, between 3 and 40 days after symptom presentation [121]. These researchers employed a sandwich ELISA method with recombinant SARS-CoV-2 nucleocapsid protein. They detected an average consistency rate of more than 85% for IgM and IgG in both the lab-confirmed and suspected cases.
Table 1.
Methodology Used for the Test | Main Findings | Number of Subjects | Categorization of Subjects | Sensitivity (%) | Specificity (%) | Positive Predictive Value | Negative Predictive Value | Reference |
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Lateral flow immunoassay (LFIA) | The IgM–IgG combined assay showed better sensitivity than a single IgM or IgG test. | 525 | 397 were PCR positive and remaining 128 were negative |
88.66 | 90.63 | NA | NA | [114] |
Chemiluminescence assay | Showed higher efficiency for the detection of IgM and IgG anti-SARS CoV-2 antibodies | 125 | 61 were PCR positive patients and 64 were negative |
73.3 (IgM) 76.7 (IgG) | 92.2 100 |
81.5 NA |
88.1 90.1 |
[122] |
Chemiluminescence assay | IgG showed higher titre value than that of IgM | 76 | 43 were PCR positive and the remaining 33 were probable cases |
48.1 IgM 88.9 IgG | 100 IgM 90.9 IgG | NA | NA | [123] |
Chemiluminescence assay | Automated CLIA analyzer | 176 | 125 PCR confirmed cases | 95–95.5 | 100 | 100 | NA | [124] |
Chemiluminescence assay | Positive results after two weeks of symptom onset | 34 | All the subjects were PCR confirmed patients |
94.1 | NA | NA | NA | [89] |
Chemiluminescence assay | Highest seroconversion was observed around 20–22 days after symptom onset | 285 | All the 285 were PCR positive patients |
94 (IgM) 100 (IgG) | NA | NA | NA | [125] |
Chemiluminescence assay | Rapid | 476 | 276 PCR positive patients, and 200 negative volunteers |
57.2 (IgM) 71.4 (IgG) | NA | NA | NA | [126] |
ELISA | IgM and IgG were reliably positive after one month of symptom onset | 24 | All were PCR positive patients |
74 | 100 | NA | NA | [127] |
ELISA | All patients tested positive for IgG and some patients tested negative for IgM | 60 | Samples collected from convalescent patients | 78 IgM 100 IgG |
NA | NA | NA | [128] |
ELISA | The IgM reached 100% about one month of symptom onset | 173 | All the subjects were PCR positive patients |
100 (>15 days) | NA | NA | NA | [112] |
ELISA | IgA, IgM, and IgG were detected from 5 days from the onset of symptoms | 140 | 82 PCR positive and 58 suspected cases |
75.6 (IgM in confirmed cases) 93.1 (IgM in probable cases) |
NA | NA | NA | [120] |
ELISA | IgG and IgA ELISAs in along with EUROLabworkstation (Euroimmu) | 39 PCR positive cases, 13 were IgG and IgA positive and 11 IgA only positive | NA | 91.9% (IgG)73.0% (IgA) | NA | NA | [129] | |
IgM /IgG immunoassay | The rapid test | 110 | 30 were PCR positive cases, 50 were persons with respiratory symptoms and 30 were PCR negatives |
18.4 | 91.7 | 87.5 | 26.2 | [130] |
Immunochromatography | The IgM-positive rate showed an elevation from 11.1% in early-stage to 74.2% in late-stage disease. The positive rate of IgG in patients was 3.6% in early-stage and 96.8% in late-stage disease | 105 | 105 patients | 68.6 | NA | NA | NA | [131] |
Modified cytopathogenic assay | Patients with severe clinical manifestations showed higher antibody titre | 70 | The study comprises inpatients and Convalescent patients |
100 | NA | NA | NA | [132] |
Immunofluorescence assay | Rapid and easy to use | 59 | 59 suspected patients; 24 PCR positive cases |
87.5 | NA | NA | NA | [133] |
Rapid immunoassay | The accuracy was 40% in the first week and 93.9% after 2 | 179 | Patients included PCR positive (n = 90) and PCR negative (n = 89) |
85.6 | 91 | 95.1 | 82.7 | [134] |
Rapid lateral flow assay | Fast, point of care test | 67 | 67 were PCR positive patients |
11 (<7 days) 92 (7–14 days) 96 (>14 days) |
NA | NA | NA | [135] |
Single Molecular Array (SIMOA) | Indicates disease severity | 81 | All were SARS-CoV-2 confirmed patients |
86 | 100 | NA | NA | [136] |
In a letter to the editor published in Medical Virology, the authors reported that out of 60 patients, after convalescence, 13 patients had detectable IgG and undetectable IgM. Ten patients showed a decline in both IgM and IgG in a second test, one week after convalescence, correlative to negative RNA tests (both times) and improvement in chest CT-scans. The results supported serodiagnosis to be a robust indicator of the stage of COVID-19 [128]. In another cohort study, including 23 patients (median age 62 years) with lab-confirmed COVID-19, in two Hong Kong hospitals [137], the authors reiterated earlier reports that antibody assay can complement NAATs for diagnosis. They implemented and advocated the use of self-collection of posterior oropharyngeal swab samples to prevent the high exposure-risk of healthcare workers while collecting nasopharyngeal or throat swabs. The latter methods can lodge coughing or sneezing responses by the patients. They also tested for IgM and IgG antibodies against two different antigenic sites of the SARS-CoV-2 virus, nucleoprotein and spike protein, with similar trends in appearance and titers. Thus, serological tests can be crucial means of retrospective diagnosis, since microneutralization studies using recombinant spike protein, specifically, RBD, have shown prominent results for both IgM and IgG binding and specificity [71,138,139,140]. Thus, an effective antibody detection method should account for both the IgM and IgG antibodies and could also reduce the exposure of healthcare workers by utilizing blood collection.
In a report published on 13 April 2020, M.A. Al-Muharraqi of Royal Medical Services of Bahrain Defense Force, made an important suggestion of using serological testing as a complementary method to repeated testing for PCR detection. He suggested that to monitor patients admitted for non-COVID emergency surgeries, such as head and neck cancers, and to prevent postponing them. Even while keeping in mind the various paraphernalia of antibody detection, he recommended the use of this kind of test owing to its affordability and rapidity to monitor patients [141]. The same application can be extended to mass containment zones such as dormitories or hospices.
A recent population screening study indicated that IgG tests targeting the S antigen (Euroimmun and Liaison) lacked sensitivity and specificity (<95%) in clinical samples from patients exposed to various viruses [142]. The S1 based IgA assay, in contrast, had a relatively good sensitivity [143]. When comparing the laboratory assays in patients with different severity and stages of disease (overall), more than 14 days post-onset, the RBD based Wantai ELISA had the best overall performance. This ELISA also showed a potential to set a threshold indicating the presence of protective antibodies [143]. Another study indicated that Augurix IgG rapid diagnostic kit displays a relatively high accuracy for SARS-CoV-2 IgG in high COVID-19 prevalence settings [144]. Such kits can be suggested for mass serology testing [144,145]. Among the many currently available antibody-based tests, the popular ones are lateral flow immunoassays (BioMedomics quick test and Surescreen rapid test cassette), time-resolved fluorescence immunoassays (Gold site diagnostics kit), and colloidal gold immunoassays (VivaDiag COVID-19 IgG-IgM test and Assay Genie rapid POC kit). All these assays involve pipetting a few drops of blood from a finger prick or vein onto the immunoassay device, followed by a couple of drops of buffer solution. The results are displayed within 10–15 min, as depicted in Figure 4. However, some of them including BioMedomics quick test have been temporarily withdrawn from US market due to the imposition of new policies in validation [146]. We also found a registered clinical trial protocol for VivaDiag and anticipate that further clinical accuracy data will become available as time progresses.
6. Challenges and Pitfalls
There are two glaring problems with the tests based on antibody detection. Firstly, almost all of the COVID-19 antibody-based tests that have hit the market have been reported to be of questionable accuracy. Most are rapid qualitative tests that can be performed in doctors’ offices, workplaces, or homes. Unfortunately, none of them could match the reliability of lab-based thorough antibody tests [147]. Some recent reports suggest that nanoparticle-based lateral immunoassays would be considerably more accurate [148]. Nevertheless, there needs to be further rigorous research on the strip-based tests for at least one or a few of them to be authorized for unrestricted universal usage. The second limitation of antibody testing is a lack of data on immunity. Initial studies involving small groups of recovered COVID-19 patients suggest that short-term immunity may occur in some patients. However, long-term immunity is not definitively known or understood yet. Evidence on related coronaviruses is scarce and sometimes conflicting. More than one study suggest that immunity to SARS-CoV-2 might not last very long, some of them basing this theory on evidence of short-lasting immunity to seasonal coronaviruses [149]. Other studies indicate that immunity to the original SARS-CoV lasts for at least a few years but declines in many people [150]. Recovered patients also show differing immune responses [92]. The reason could be due to testing limitations and lack of data. However, it is also possible that people with milder disease symptoms spark weaker antibody responses.
Some other factors must also be considered. A rapid serological test cannot serve as an independent diagnostic tool owing to several reasons. Detectable amounts of antibodies appear in the patient’s blood after a few days of the initial onset of symptoms. Although on average IgM appears in detectable quantity after about 5 days, based on variations reported, that can be as late at 11–12 days after infection onset [151,152,153]. Even in a 4–5-day window period, one can be asymptomatic but highly contagious and can infect other people in the close surroundings. Moreover, an effective antibody detection method should account for both the IgM and IgG antibodies, and they can vary widely between individuals. This makes it exceedingly challenging to standardize antibody detection approaches and to use them as a sole diagnostic tool [130,154]. A large cohort of immuno-compromised patients might give complete false-negative results, as they would not produce antibodies like normal individuals [130]. Considering the critical question of transmissibility timeline and serologically silent cases (specifically, in early yet active infections), rapid strip-based tests need to be used judiciously in entry/exit points of mass transits such as airlines. In many instances, airline passengers are screened using rapid antibody-based tests. However, there can be several COVID-19 active infections that go undetected. That can result in contamination of the plane, and community transmissions to co-passengers. Furthermore, antibody tests can be cross-reactive and can detect antibodies against other less severe seasonal coronaviruses to generate false-positives [113,155,156]. To resolve such cross-reactivity issues, it is necessary to design highly specific capture-antibodies against SARS-CoV-2 antibodies.
7. Significant Advantages and Prospects
Although the RT-PCR-based molecular test is specific and robust, it has its limitations such as the requirement of quality patient sample viz. nasopharyngeal swab, significant quantity of viral RNA, and chance of RNA degradation during storage and transportation. Largescale implementation of such tests can also be restricted by need of trained professionals for sampling, lab tests, etc. However, the most restrictive limitation could be the inability to detect past infections. In a typical scenario, all these factors can be addressed by strictly adhering to the SOPs (Standard Operating Procedures). Still, they generate financial and practicability issues during a pandemic. Whereas, despite its shortcomings, moving diagnosis for COVID-19 out from laboratory infrastructure can possibly be a breakthrough in mass testing and surveillance. Most of the investigations regarding the prognosis of COVID-19 and its antibody dynamics tell us that the viral load detectable by RT-PCR or antigen-based tests declines steadily after 9–10 days of initial infection [3,157,158], while IgM and IgG levels start peaking usually after a week [93,159,160]. Thus, the sole reliance on molecular diagnostics capable of detecting only active infections can cause serious under-detection similar to in China and the USA [161]. Antigen-tests are increasingly being considered more reliable, but they cannot possibly detect past infections after few weeks. Rapid antibody kits are being used to perform diagnosis without sending samples to centralized laboratories. This is helping communities without laboratory facilities identify active and past infections [36,156,162].
Although we have had earlier episodes of viral disease outbreaks such as SARS and MERS, none assumed pandemic proportions like the present. As COVID-19 is running rampant, researchers and healthcare workers have faced the significant challenge of getting a handle on the correct and complete disease statistics. A large number of cases going undetected have resulted in skewed statistics for the total number of infections, infection mortality rates, etc. Furthermore, since this aggressive invader resulted in many asymptomatic or pre-symptomatic patients, there is a big chance that not all individuals can be diagnosed at the active infection stage. Hence a mass diagnostic method based on immunoglobulins that persist in blood at least for several weeks to few months even after the infection is resolved is a logical approach to detect the otherwise hidden cases [163]. A retrospective diagnosis system such as antibody-based tests can undoubtedly serve the purpose of figuring out the correct numbers while generating more information about the transmission dynamics of this pandemic [164]. Numerous well-designed serosurveys utilizing antibody-tests are now being performed to this end [163,164,165]. These can help in developing epidemiological data and finally obtain the much-needed complete and correct etiology and statistics of COVID-19 to help build a better post-pandemic world [93,138]. In addition to serological tests being a practical candidate for 1st line of diagnosis, if the instructions can be standardized for rapid kits, then combined with an extensive set of questionnaires, these strips can be bought with prescription as a set of 3–4 tests and can be used at a gap of 5–7 days at home.
There are several rapid antibody test devices in development that are potentially reliable as PoCT for the diagnosis of COVID-19. Recent commercially available lateral flow test kits such as Wondfo® SARS-CoV-2 Antibody Test (Guangzhou Wondfo Biotech Co., Ltd., Guangzhou, China), Innovita® 2019 n-CoV Ab Test Colloidal Gold (Biological Technology Co., Shanghai, China) and SGTi-flex COVID-19 IgM/IgG (Sugentech) also showed promising results. These are gold nanoparticle-based immuno-chromatographic test kits for qualitative determination of COVID-19’s IgM and IgG antibodies in whole human blood, serum, or plasma. Despite their limited reliability as a diagnostic tool, antibody testing using a relatively simple strip-based method (lateral flow chromatography) can be used to obtain qualitative results (presence or absence of detectable quantities of IgM/IgG) in about 15 min. However, chances of recurrent infections of COVID-19 cannot be entirely neglected. A combination of multiple tests, including sequence comparisons of viral strains involved in multiple episodes (in the case of recurrent infections), viral culture-based methods, and determining the innate/adaptive immunity, could unravel the challenges in identifying these recurrences [166]. Hence, combining PCR results with antibody detection can possibly be a reliable means of detecting recurrent infections [34].
Contextually, as one of the later developments in the COVID-19-related complications, MIS-C or multisystem inflammatory syndrome in children needs a special mention [167,168,169,170,171,172,173,174,175,176]. On 2 May 2020, a Pediatric Intensive Care-COVID-19 international collaborative conference call was held, where panelists recognized MIS-C as an emerging effect of COVID-19 infections in children [177]. Symptoms reported could range from two or more organ dysfunctions including cardiac, GI, renal, neurological, respiratory disorders, conjunctivitis, systemic shock, and systemic inflammation [178]. Since June 2020, similar symptoms have been reported in adults termed MIS-A, that were usually accompanied by respiratory failure. Notably, MIS-C or MIS-A being delayed manifestations of SARS-CoV-2 infection, a significant percentage of these patients were observed to be PCR- and antigen-negative, yet often antibody-positive, with varied accuracy [179,180]. These positive antibody detections could be due to persistent multiorgan dysfunction or multisystem inflammation even after active infection was resolved. These cases highlight the applicability of antibody-based tests to trace past COVID-19 infections, while performing contact tracing.
Antibody testing also has a pronounced role in vaccine development. It is essential and important to make sure that the volunteers selected for vaccine trials are free from virus-specific antibodies in their blood to understand the formation of vaccine associated antibodies. Moreover, it is also necessary to perform periodic testing of volunteers who have received the vaccine to understand the effectiveness of the vaccination. Post immunization assessment of antibody levels, at least during the trial stage, is essential to decide the time window for booster shots. Antibody-based tests would be inevitable for assessing the efficacy of candidate vaccines by controlled human infection models (CHIMs) too [181]. Although there are concerns regarding the possible declining antibody levels in COVID-19 recovered patients, the concept of “immunity passports” is still an active area of discussion. Theoretically, certification of an individual with active immunity against the virus can minimize the burden of further testing before entering in a new geographical location where the entry is regulated. Periodic testing of antibodies against the virus is crucial to identify the level of immunity and provide or renew such certifications.
In addition to mass diagnosis, regulatory bodies are now employing immunoglobulin-based tests for surveillance and control. The Centers for Disease Control and Prevention (CDC), for example, have strategies in place to run mass antibody testing in multiple states of the USA on donated blood in blood banks. Simultaneously, they are planning mass antibody testing of different populations at different time and locations [182]. Several blood banks including the American Red Cross are offering free antibody-tests for COVID-19 to potential donors, clearly to serve the dual purpose of checking the status of donated blood and for past infection data of the donors. Apart from diagnostic benefits, immunoglobulin-based tests also help to identify potential donors of therapeutic plasma and provides crucial data and knowledge for vaccine development [183].
8. Conclusions
Accurate and scalable antibody-tests for COVID-19 would increase the scope for mass surveillance to be performed in the community. It can reduce the time to obtain an actionable result and can have important bearings on screenings, better pandemic statistics, and epidemiological data. Such information can help in understanding the long-term effects of infections in patients post-pandemic and boost future pandemic preparedness. Scientists, clinicians, and public healthcare professionals strongly believe that antibody testing using quality devices and with appropriate interpretation of the data are of real value amidst the hyperbolic or confusing media coverage on testing. If the application of this method is extended beyond its limited diagnostic applicability for the community testing of COVID-19, that will undeniably have a huge impact as a surveillance tool especially for understanding the level of immunity gained within a specific territory. Hence, in conclusion despite numerous pitfalls, the benefits and prospects of immunoglobulin-based diagnosis and surveillance bring great value to healthcare professionals, researchers, governments, and the public in this pandemic and post pandemic situation, alike.
Author Contributions
Conceptualization: R.A., Investigation: R.A., S.D., A.S., S.A.S, P.A. Resources: R.A., A.S., and P.A. Writing—original draft preparation: R.A., S.D., A.S., S.A.S., and P.A. Writing—review and editing: S.D., R.A., R.P., B.D.K., A.H., Y.B.D., R.V., A.S.T., and H.M.Y. Visualization: R.A., B.D.K., and P.A. Supervision: A.H. Project coordination: R.A. Funding acquisition: A.H. All authors have read and agreed to the published version of the manuscript.
Funding
This publication was made possible by Qatar University Emergency Response Grant (QUERG-CMED-2020-2) from the Qatar University and NPRP10-0120-170211 grant funded by Qatar National Research Fund (a part of Qatar Foundation). All statements made here are the sole responsibility of the authors.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Worldometers Covid-19 Coronavirus Pandemic. [(accessed on 16 October 2020)]; Available online: https://www.worldometers.info/coronavirus/
- 2.Gralinski L.E., Menachery V.D. Return of the coronavirus: 2019-nCoV. Viruses. 2020;12:135. doi: 10.3390/v12020135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.He X., Lau E.H.Y., Wu P., Deng X., Wang J., Hao X., Lau Y.C., Wong J.Y., Guan Y., Tan X., et al. Temporal dynamics in viral shedding and transmissibility of COVID-19. Nat. Med. 2020;26:672–675. doi: 10.1038/s41591-020-0869-5. [DOI] [PubMed] [Google Scholar]
- 4.Wang P., Anderson N., Pan Y., Poon L., Charlton C., Zelyas N., Persing D., Rhoads D., Babcock H. The SARS-CoV-2 Outbreak: Diagnosis, Infection Prevention, and Public Perception. Clin. Chem. 2020;65:644–651. doi: 10.1093/clinchem/hvaa080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.De Ridder D., Sandoval J., Vuilleumier N., Stringhini S., Spechbach H., Joost S., Kaiser L., Guessous I. Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution. Lancet Digit. Heal. 2020;2:e393–e394. doi: 10.1016/S2589-7500(20)30139-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Ghaffari A., Meurant R., Ardakani A. COVID-19 serological tests: How well do they actually perform? Diagnostics. 2020;10:453. doi: 10.3390/diagnostics10070453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Baumgarth N., Tung J.W., Herzenberg L.A. Inherent specificities in natural antibodies: A key to immune defense against pathogen invasion. Springer Semin. Immunopathol. 2005;26:347–362. doi: 10.1007/s00281-004-0182-2. [DOI] [PubMed] [Google Scholar]
- 8.Long B., Brady W.J., Koyfman A., Gottlieb M. Cardiovascular complications in COVID-19. Am. J. Emerg. Med. 2020;5:802–810. doi: 10.1016/j.ajem.2020.04.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kochi A.N., Tagliari A.P., Forleo G.B., Fassini G.M., Tondo C. Cardiac and arrhythmic complications in patients with COVID-19. J. Cardiovasc. Electrophysiol. 2020;31:1003–1008. doi: 10.1111/jce.14479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Zhu H., Rhee J.W., Cheng P., Waliany S., Chang A., Witteles R.M., Maecker H., Davis M.M., Nguyen P.K., Wu S.M. Cardiovascular Complications in Patients with COVID-19: Consequences of Viral Toxicities and Host Immune Response. Curr. Cardiol. Rep. 2020;22:32. doi: 10.1007/s11886-020-01292-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lodigiani C., Iapichino G., Carenzo L., Cecconi M., Ferrazzi P., Sebastian T., Kucher N., Studt J.D., Sacco C., Alexia B., et al. Venous and arterial thromboembolic complications in COVID-19 patients admitted to an academic hospital in Milan, Italy. Thromb. Res. 2020;191:9–14. doi: 10.1016/j.thromres.2020.04.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Filatov A., Sharma P., Hindi F., Espinosa P.S. Neurological Complications of Coronavirus Disease (COVID-19): Encephalopathy. Cureus. 2020;12:e7352. doi: 10.7759/cureus.7352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Needham E.J., Chou S.H.Y., Coles A.J., Menon D.K. Neurological Implications of COVID-19 Infections. Neurocrit. Care. 2020;32:667–671. doi: 10.1007/s12028-020-00978-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Varatharaj A., Thomas N., Ellul M.A., Davies N.W.S., Pollak T.A., Tenorio E.L., Sultan M., Easton A., Breen G., Zandi M., et al. Neurological and neuropsychiatric complications of COVID-19 in 153 patients: A UK-wide surveillance study. Lancet Psychiatry. 2020;7:875–882. doi: 10.1016/S2215-0366(20)30287-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ahmad I., Rathore F.A. Neurological manifestations and complications of COVID-19: A literature review. J. Clin. Neurosci. 2020;77:8–12. doi: 10.1016/j.jocn.2020.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gan R., Rosoman N.P., Henshaw D.J.E., Noble E.P., Georgius P., Sommerfeld N. COVID-19 as a viral functional ACE2 deficiency disorder with ACE2 related multi-organ disease. Med. Hypotheses. 2020;144:110024. doi: 10.1016/j.mehy.2020.110024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Wu J., Liu J., Li S., Peng Z., Xiao Z., Wang X., Yan R., Luo J. Detection and analysis of nucleic acid in various biological samples of COVID-19 patients. Travel Med. Infect. Dis. 2020:101673. doi: 10.1016/j.tmaid.2020.101673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Xiang X., Qian K., Zhang Z., Lin F., Xie Y., Liu Y., Yang Z. CRISPR-cas systems based molecular diagnostic tool for infectious diseases and emerging 2019 novel coronavirus (COVID-19) pneumonia. J. Drug Target. 2020;28:727–731. doi: 10.1080/1061186X.2020.1769637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Broughton J.P., Deng X., Yu G., Fasching C.L., Servellita V., Singh J., Miao X., Streithorst J.A., Granados A., Sotomayor-Gonzalez A., et al. CRISPR–Cas12-based detection of SARS-CoV-2. Nat. Biotechnol. 2020;38:870–874. doi: 10.1038/s41587-020-0513-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Augustine R., Hasan A., Das S., Ahmed R., Mori Y., Notomi T., Kevadiya B.D., Thakor A.S. Loop-Mediated Isothermal Amplification (LAMP): A Rapid, Sensitive, Specific, and Cost-Effective Point-of-Care Test for Coronaviruses in the Context of COVID-19 Pandemic. Biology. 2020;9:182. doi: 10.3390/biology9080182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Seo G., Lee G., Kim M.J., Baek S.H., Choi M., Ku K.B., Lee C.S., Jun S., Park D., Kim H.G., et al. Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) in Human Nasopharyngeal Swab Specimens Using Field-Effect Transistor-Based Biosensor. ACS Nano. 2020;14:5135–5142. doi: 10.1021/acsnano.0c02823. [DOI] [PubMed] [Google Scholar]
- 22.Wu J.L., Tseng W.P., Lin C.H., Lee T.F., Chung M.Y., Huang C.H., Chen S.Y., Hsueh P.R., Chen S.C. Four point-of-care lateral flow immunoassays for diagnosis of COVID-19 and for assessing dynamics of antibody responses to SARS-CoV-2. J. Infect. 2020;81:435–442. doi: 10.1016/j.jinf.2020.06.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Hasan M.R., Mirza F., Al-Hail H., Sundararaju S., Xaba T., Iqbal M., Alhussain H., Yassine H.M., Perez-Lopez A., Tang P. Detection of SARS-CoV-2 RNA by direct RT-qPCR on nasopharyngeal specimens without extraction of viral RNA. PLoS ONE. 2020;15:e0236564. doi: 10.1371/journal.pone.0236564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Center for Health Security, Molecular-based Tests for COVID-19. [(accessed on 16 October 2020)]; Available online: https://www.centerforhealthsecurity.org/resources/COVID-19/molecular-based-tests/
- 25.Shuren J.E. Coronavirus (COVID-19) Update: FDA Authorizes First Antigen Test to Help in the Rapid Detection of the Virus that Causes COVID-19 in Patients|FDA. [(accessed on 30 July 2020)]; Available online: https://www.fda.gov/news-events/press-announcements/coronavirus-covid-19-update-fda-authorizes-first-antigen-test-help-rapid-detection-virus-causes.
- 26.Mak G.C., Cheng P.K., Lau S.S., Wong K.K., Lau C.S., Lam E.T., Chan R.C., Tsang D.N. Evaluation of rapid antigen test for detection of SARS-CoV-2 virus. J. Clin. Virol. 2020;129:104500. doi: 10.1016/j.jcv.2020.104500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Grant B.D., Anderson C.E., Williford J.R., Alonzo L.F., Glukhova V.A., Boyle D.S., Weigl B.H., Nichols K.P. SARS-CoV-2 Coronavirus Nucleocapsid Antigen-Detecting Half-Strip Lateral Flow Assay Toward the Development of Point of Care Tests Using Commercially Available Reagents. Anal. Chem. 2020;92:11305–11309. doi: 10.1021/acs.analchem.0c01975. [DOI] [PubMed] [Google Scholar]
- 28.Ksiazek T.G., Erdman D., Goldsmith C.S., Zaki S.R., Peret T., Emery S., Tong S., Urbani C., Comer J.A., Lim W., et al. A novel coronavirus associated with severe acute respiratory syndrome. N. Engl. J. Med. 2003;348:1953–1966. doi: 10.1056/NEJMoa030781. [DOI] [PubMed] [Google Scholar]
- 29.Peiris J.S.M., Lai S.T., Poon L.L.M., Guan Y., Yam L.Y.C., Lim W., Nicholls J., Yee W.K.S., Yan W.W., Cheung M.T., et al. Coronavirus as a possible cause of severe acute respiratory syndrome. Lancet. 2003;361:1319–1325. doi: 10.1016/S0140-6736(03)13077-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Louie J.K., Hacker J.K., Mark J., Gavali S.S., Yagi S., Espinosa A., Schnurr D.P., Cossen C.K., Isaacson E.R., Glaser C.A., et al. SARS and common viral infections. Emerg. Infect. Dis. 2004;10:1143–1146. doi: 10.3201/eid1006.030863. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Woo P.C.Y., Lau S.K.P., Wong B.H.L., Tsoi H.W., Fung A.M.Y., Chan K.H., Tam V.K.P., Peiris J.S.M., Yuen K.Y. Detection of Specific Antibodies to Severe Acute Respiratory Syndrome (SARS) Coronavirus Nucleocapsid Protein for Serodiagnosis of SARS Coronavirus Pneumonia. J. Clin. Microbiol. 2004;42:2306–2309. doi: 10.1128/JCM.42.5.2306-2309.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Younes N., Al-Sadeq D.W., AL-Jighefee H., Younes S., Al-Jamal O., Daas H.I., Yassine H.M., Nasrallah G.K. Challenges in laboratory diagnosis of the novel coronavirus SARS-CoV-2. Viruses. 2020;12:582. doi: 10.3390/v12060582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Marcel S., Christian A.L., Richard N., Silvia S., Emma H., Jacques F., Marcel Z., Gabriela S., Manuel B., Annelies W.S., et al. COVID-19 epidemic in Switzerland: On the importance of testing, contact tracing and isolation. Swiss Med. Wkly. 2020;150:w20225. doi: 10.4414/smw.2020.20225. [DOI] [PubMed] [Google Scholar]
- 34.Abbasi J. The Promise and Peril of Antibody Testing for COVID-19. JAMA. 2020;323:2019–2021. doi: 10.1001/jama.2020.6170. [DOI] [PubMed] [Google Scholar]
- 35.Ritzi-Lehnert M. Development of chip-compatible sample preparation for diagnosis of infectious diseases. Expert Rev. Mol. Diagn. 2012;12:189–206. doi: 10.1586/erm.11.98. [DOI] [PubMed] [Google Scholar]
- 36.Nguyen T., Bang D.D., Wolff A. 2019 Novel coronavirus disease (COVID-19): Paving the road for rapid detection and point-of-care diagnostics. Micromachines. 2020;11:306. doi: 10.3390/mi11030306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Pathak M., Patel S.K., Jigyasa R., Tiwari R., Dhama K., Sah R., Rabaan A.A., Bonilla-Aldana D.K., Rodriguez-Morales A.J. Global Threat of SARS-CoV-2/COVID-19 and the Need for More and Better Diagnostic Tools. Arch. Med. Res. 2020;51:450. doi: 10.1016/j.arcmed.2020.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Dochez A.R., Avery O.T. The elaboration of specific soluble substance by pneumococcus during growth. J. Exp. Med. 1917;26:477–493. doi: 10.1084/jem.26.4.477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Berson S.A., Yalow R.S. Quantitative aspects of the reaction between insulin and insulin-binding antibody. J. Clin. Invest. 1959;38:1996–2016. doi: 10.1172/JCI103979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Engvall E., Jonsson K., Perlmann P. Enzyme-linked immunosorbent assay. II. Quantitative assay of protein antigen, immunoglobulin g, by means of enzyme-labelled antigen and antibody-coated tubes. BBA-Protein Struct. 1971;251:427–434. doi: 10.1016/0005-2795(71)90132-2. [DOI] [PubMed] [Google Scholar]
- 41.Busso N., Collart M., Vassalli J.-D., Belin D. Antagonist effect of RU 486 on transcription of glucocorticoid-regulated genes. Exp. Cell Res. 1987;173:425–430. doi: 10.1016/0014-4827(87)90282-5. [DOI] [PubMed] [Google Scholar]
- 42.Leuvering J.H.W., Thai P.J.H.M., Van der Waart M.V., Schuurs A.H.W.M. Sol particle immunoassay (spia) J. Immunoass. 1980;1:77–91. doi: 10.1080/01971528008055777. [DOI] [PubMed] [Google Scholar]
- 43.Talman E.A., Boughner D.R. Glutaraldehyde fixation alters the internal shear properties of porcine aortic heart valve tissue. Ann. Thorac. Surg. 1995;60 doi: 10.1016/0003-4975(95)00250-O. [DOI] [PubMed] [Google Scholar]
- 44.Posthuma-Trumpie G.A., Korf J., van Amerongen A. Lateral flow (immuno) assay: Its strengths, weaknesses, opportunities and threats A literature survey. Anal. Bioanal. Chem. 2009;393:569–582. doi: 10.1007/s00216-008-2287-2. [DOI] [PubMed] [Google Scholar]
- 45.Rosenstein R.W., Bloomster T.G. Solid Phase Assay Employing Capillary Flow. 4,855,240. U.S. Patent. 1989 Aug 8;
- 46.May K., Prior M.E., Richards I. Capillary Immunoassay and Device Therefor Comprising Mobilizable Particulate Labelled Reagents. 6,818,455. U.S. Patent. 2004 Nov 16;
- 47.Xiang T., Jiang Z., Zheng J., Lo C., Tsou H., Ren G., Zhang J., Huang A., Lai G. A novel double antibody sandwich-lateral flow immunoassay for the rapid and simple detection of hepatitis C virus. Int. J. Mol. Med. 2012;30:1041–1047. doi: 10.3892/ijmm.2012.1121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Shi L., Wu F., Wen Y., Zhao F., Xiang J., Ma L. A novel method to detect Listeria monocytogenes via superparamagnetic lateral flow immunoassay. Anal. Bioanal. Chem. 2015;407:529–535. doi: 10.1007/s00216-014-8276-8. [DOI] [PubMed] [Google Scholar]
- 49.Wiriyachaiporn N., Sirikett H., Maneeprakorn W., Dharakul T. Carbon nanotag based visual detection of influenza A virus by a lateral flow immunoassay. Microchim. Acta. 2017;184:1827–1835. doi: 10.1007/s00604-017-2191-6. [DOI] [Google Scholar]
- 50.Wang R., Kim K., Choi N., Wang X., Lee J., Jeon J.H., Rhie G., Choo J. Highly sensitive detection of high-risk bacterial pathogens using SERS-based lateral flow assay strips. Sens. Actuators B Chem. 2018;270:72–79. doi: 10.1016/j.snb.2018.04.162. [DOI] [Google Scholar]
- 51.Azar M.M., Landry L. Detection of Influenza A and B Viruses and Respiratory Syncytial Virus by Use of Clinical Laboratory Improvement Amendments of 1988 (CLIA)-Waived Point-of-Care Assays: A Paradigm Shift to Molecular Tests. J. Clin. Microbiol. 2018;56:1–13. doi: 10.1128/JCM.00367-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Kozel T.R., Burnham-Marusich A.R. Point-of-care testing for infectious diseases: Past, present, and future. J. Clin. Microbiol. 2017;55:2313–2320. doi: 10.1128/JCM.00476-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Ling L., Kaplan S.E., Lopez J.C., Stiles J., Lu X., Tang Y.W. Parallel validation of three molecular devices for simultaneous detection and identification of influenza A and B and respiratory syncytial viruses. J. Clin. Microbiol. 2018;56 doi: 10.1128/JCM.01691-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Loeffelholz M.J., Tang Y.W. Laboratory diagnosis of emerging human coronavirus infections–the state of the art. Emerg. Microbes Infect. 2020;9:747–756. doi: 10.1080/22221751.2020.1745095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Wood C.S., Thomas M.R., Budd J., Mashamba-Thompson T.P., Herbst K., Pillay D., Peeling R.W., Johnson A.M., McKendry R.A., Stevens M.M. Taking connected mobile-health diagnostics of infectious diseases to the field. Nature. 2019;566:467–474. doi: 10.1038/s41586-019-0956-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Borucki M.K., Lao V., Hwang M., Gardner S., Adney D., Munster V., Bowen R., Allen J.E. Middle East Respiratory Syndrome Coronavirus Intra-Host Populations Are Characterized by Numerous High Frequency Variants. PLoS ONE. 2016;11:e0146251. doi: 10.1371/journal.pone.0146251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Rafael M.E., Taylor T., Magill A., Lim Y.W., Girosi F., Allan R. Reducing the burden of childhood malaria in Africa: The role of improved. Nature. 2006;444:39–48. doi: 10.1038/nature05445. [DOI] [PubMed] [Google Scholar]
- 58.Shulman S.T., Bisno A.L., Clegg H.W., Gerber M.A., Kaplan E.L., Lee G., Martin J.M., Van Beneden C. Clinical practice guideline for the diagnosis and management of group a streptococcal pharyngitis: 2012 update by the infectious diseases society of America. Clin. Infect. Dis. 2012;55:e86–e102. doi: 10.1093/cid/cis629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Baptista P.V. Nanodiagnostics: Leaving the research lab to enter the clinics? Diagnosis. 2014;1:305–309. doi: 10.1515/dx-2014-0055. [DOI] [PubMed] [Google Scholar]
- 60.Tallury P., Malhotra A., Byrne L.M., Santra S. Nanobioimaging and sensing of infectious diseases. Adv. Drug Deliv. Rev. 2010;62:424–437. doi: 10.1016/j.addr.2009.11.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Paul A., Hasan A., Rodes L., Sangaralingam M., Prakash S. Bioengineered baculoviruses as new class of therapeutics using micro and nanotechnologies: Principles, prospects and challenges. Adv. Drug Deliv. Rev. 2014;71:115–130. doi: 10.1016/j.addr.2014.01.004. [DOI] [PubMed] [Google Scholar]
- 62.Kaittanis C., Santra S., Perez J.M. Emerging nanotechnology-based strategies for the identification of microbial pathogenesis. Adv. Drug Deliv. Rev. 2010;62:408–423. doi: 10.1016/j.addr.2009.11.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Wang Y., Yu L., Kong X., Sun L. Application of nanodiagnostics in point-of-care tests for infectious diseases. Int. J. Nanomed. 2017;12:4789–4803. doi: 10.2147/IJN.S137338. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Sun B., Straubinger R.M., Lovell J.F. Current taxane formulations and emerging cabazitaxel delivery systems. Nano Res. 2018;11:5193–5218. doi: 10.1007/s12274-018-2171-0. [DOI] [Google Scholar]
- 65.Vidrih J.A., Walensky R.P., Sax P.E., Freedberg K.A. Positive Epstein-Barr virus heterophile antibody tests in patients with primary human immunodeficiency virus infection. Am. J. Med. 2001;111:192–194. doi: 10.1016/S0002-9343(01)00804-X. [DOI] [PubMed] [Google Scholar]
- 66.Rabe I.B., Staples J.E., Villanueva J., Hummel K.B., Johnson J.A., Rose L., Hills S., Wasley A., Fischer M., Powers A.M. Interim guidance for interpretation of Zika virus antibody test results. Morb. Mortal. Wkly. Rep. 2016;65:543–546. doi: 10.15585/mmwr.mm6521e1. [DOI] [PubMed] [Google Scholar]
- 67.Zumla A., Chan J.F.W., Azhar E.I., Hui D.S.C., Yuen K.Y. Coronaviruses-drug discovery and therapeutic options. Nat. Rev. Drug Discov. 2016;15:327–347. doi: 10.1038/nrd.2015.37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Kirchdoerfer R.N., Cottrell C.A., Wang N., Pallesen J., Yassine H.M., Turner H.L., Corbett K.S., Graham B.S., McLellan J.S., Ward A.B. Pre-fusion structure of a human coronavirus spike protein. Nature. 2016;531:118–121. doi: 10.1038/nature17200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Van Der Hoek L. Human coronaviruses: What do they cause? Antivir. Ther. 2007;12:651–658. [PubMed] [Google Scholar]
- 70.Memish Z.A., Perlman S., Van Kerkhove M.D., Zumla A. Middle East respiratory syndrome. Lancet. 2020;395:1063–1077. doi: 10.1016/S0140-6736(19)33221-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Babadaei M.M.N., Hasan A., Bloukh S.H., Edis Z., Sharifi M., Kachooei E., Falahati M. The expression level of angiotensin-converting enzyme 2 determines the severity of COVID-19: Lung and heart tissue as targets. J. Biomol. Struct. Dyn. 2020:1–7. doi: 10.1080/07391102.2020.1767211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Song Z., Xu Y., Bao L., Zhang L., Yu P., Qu Y., Zhu H., Zhao W., Han Y., Qin C. From SARS to MERS, thrusting coronaviruses into the spotlight. Viruses. 2019;11:59. doi: 10.3390/v11010059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Columbus C., Brust K.B., Arroliga A.C. 2019 novel coronavirus: An emerging global threat. Baylor Univ. Med. Cent. Proc. 2020;33:209–212. doi: 10.1080/08998280.2020.1731272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Prompetchara E., Ketloy C., Palaga T. Immune responses in COVID-19 and potential vaccines: Lessons learned from SARS and MERS epidemic. Asian Pacific J. Allergy Immunol. 2020;38:1–9. doi: 10.12932/AP-200220-0772. [DOI] [PubMed] [Google Scholar]
- 75.Chen X., Zhou B., Li M., Liang X., Wang H., Yang G., Wang H., Le X. Serology of Severe Acute Respiratory Syndrome: Implications for Surveillance and Outcome. J. Infect. Dis. 2004;189:1158–1163. doi: 10.1086/380397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Hsueh P.R., Hsiao C.H., Yeh S.H., Wang W.K., Chen P.J., Wang J.T., Chang S.C., Kao C.L., Yang P.C., Chen D.S., et al. Microbiologic characteristics, serologic responses, and clinical manifestations in severe acute respiratory syndrome, Taiwan. Emerg. Infect. Dis. 2003;9:1163–1167. doi: 10.3201/eid0909.030367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Yang Z., Wang S., Li Q., Li Y., Wei M., Gao H., Donovan C., Wang P.P. Determining SARS sub-clinical infection: A longitudinal seroepidemiological study in recovered SARS patients and controls after an outbreak in a general hospital. Scand. J. Infect. Dis. 2009;41:507–510. doi: 10.1080/00365540902919384. [DOI] [PubMed] [Google Scholar]
- 78.Callow K.A., Parry H.F., Sergeant M., Tyrrell D.A.J. The time course of the immune response to experimental coronavirus infection of man. Epidemiol. Infect. 1990;105:435–446. doi: 10.1017/S0950268800048019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Hsueh P.R., Kao C.L., Lee C.N., Chen L.K., Ho M.S., Sia C., De Fang X., Lynn S., Chang T.Y., Liu S.K., et al. SARS antibody test for serosurveillance. Emerg. Infect. Dis. 2004;10:1558–1562. doi: 10.3201/eid1009.040101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Spanakis N., Tsiodras S., Haagmans B.L., Raj V.S., Pontikis K., Koutsoukou A., Koulouris N.G., Osterhaus A.D.M.E., Koopmans M.P.G., Tsakris A. Virological and serological analysis of a recent Middle East respiratory syndrome coronavirus infection case on a triple combination antiviral regimen. Int. J. Antimicrob. Agents. 2014;44:528–532. doi: 10.1016/j.ijantimicag.2014.07.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Ko J.H., Müller M.A., Seok H., Park G.E., Lee J.Y., Cho S.Y., Ha Y.E., Baek J.Y., Kim S.H., Kang J.M., et al. Serologic responses of 42 MERS-coronavirus-infected patients according to the disease severity. Diagn. Microbiol. Infect. Dis. 2017;89:106–111. doi: 10.1016/j.diagmicrobio.2017.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Zhang G., Nie S., Zhang Z., Zhang Z. Longitudinal Change of Severe Acute Respiratory Syndrome Coronavirus 2 Antibodies in Patients with Coronavirus Disease 2019. J. Infect. Dis. 2020;222:183–188. doi: 10.1093/infdis/jiaa229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Mo H., Zeng G., Ren X., Li H., Ke C., Tan Y., Cai C., Lai K., Chen R., Chan-Yeung M., et al. Longitudinal profile of antibodies against SARS-coronavirus in SARS patients and their clinical significance. Respirology. 2006;11:49–53. doi: 10.1111/j.1440-1843.2006.00783.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Wu L.P., Wang N.C., Chang Y.H., Tian X.Y., Na D.Y., Zhang L.Y., Zheng L., Lan T., Wang L.F., Liang G.D. Duration of antibody responses after severe acute respiratory syndrome. Emerg. Infect. Dis. 2007;13:1562–1564. doi: 10.3201/eid1310.070576. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Wang W., Wang H., Deng Y., Song T., Lan J., Wu G., Ke C., Tan W. Characterization of anti-MERS-CoV antibodies against various recombinant structural antigens of MERS-CoV in an imported case in China. Emerg. Microbes Infect. 2016;5:e113. doi: 10.1038/emi.2016.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Park W.B., Perera R.A.P.M., Choe P.G., Lau E.H.Y., Choi S.J., Chun J.Y., Oh H.S., Song K.H., Bang J.H., Kim E.S., et al. Kinetics of serologic responses to mers coronavirus infection in humans, South Korea. Emerg. Infect. Dis. 2015;21:2186–2189. doi: 10.3201/eid2112.151421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Corman V.M., Albarrak A.M., Omrani A.S., Albarrak M.M., Farah M.E., Almasri M., Muth D., Sieberg A., Meyer B., Assiri A.M., et al. Viral Shedding and Antibody Response in 37 Patients with Middle East Respiratory Syndrome Coronavirus Infection. Clin. Infect. Dis. 2015;62:477–483. doi: 10.1093/cid/civ951. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Long Q., Deng H., Chen J., Hu J., Liu B., Liao P., Lin Y., Yu L., Mo Z., Xu Y., et al. Antibody responses to SARS-CoV-2 in COVID-19 patients: The perspective application of serological tests in clinical practice. medRxiv. 2020 doi: 10.1101/2020.03.18.20038018. [DOI] [Google Scholar]
- 89.Xiao A.T., Gao C., Zhang S. Profile of specific antibodies to SARS-CoV-2: The first report. J. Infect. 2020;81:147–178. doi: 10.1016/j.jinf.2020.03.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Tuaillon E., Bolloré K., Pisoni A., Debiesse S., Renault C., Marie S., Groc S., Niels C., Pansu N., Dupuy A.M., et al. Detection of SARS-CoV-2 antibodies using commercial assays and seroconversion patterns in hospitalized patients. J. Infect. 2020;81:e39–e45. doi: 10.1016/j.jinf.2020.05.077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Lee C.Y.P., Lin R.T.P., Renia L., Ng L.F.P. Serological Approaches for COVID-19: Epidemiologic Perspective on Surveillance and Control. Front. Immunol. 2020;11:879. doi: 10.3389/fimmu.2020.00879. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Long Q.X., Tang X.J., Shi Q.L., Li Q., Deng H.J., Yuan J., Hu J.L., Xu W., Zhang Y., Lv F.J., et al. Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections. Nat. Med. 2020;26:1200–1204. doi: 10.1038/s41591-020-0965-6. [DOI] [PubMed] [Google Scholar]
- 93.Huang A.T., Garcia-Carreras B., Hitchings M.D.T., Yang B., Katzelnick L., Rattigan S.M., Borgert B., Moreno C., Solomon B.D., Rodriguez-Barraquer I., et al. A systematic review of antibody mediated immunity to coronaviruses: Antibody kinetics, correlates of protection, and association of antibody responses with severity of disease. medRxiv. 2020 doi: 10.1101/2020.04.14.20065771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Hou H., Wang T., Zhang B., Luo Y., Mao L., Wang F., Wu S., Sun Z. Detection of IgM and IgG antibodies in patients with coronavirus disease 2019. Clin. Transl. Immunol. 2020;9:e1136. doi: 10.1002/cti2.1136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Wu H.S., Chiu S.C., Tseng T.C., Lin S.F., Lin J.H., Hsu Y.F., Wang M.C., Lin T.L., Yang W.Z., Ferng T.L., et al. Serologic and Molecular Biologic Methods for SARS-associated Coronavirus Infection, Taiwan. Emerg. Infect. Dis. 2004;10:304–310. doi: 10.3201/eid1002.030731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Hsueh P.R., Huang L.M., Chen P.J., Kao C.L., Yang P.C. Chronological evolution of IgM, IgA, IgG and neutralisation antibodies after infection with SARS-associated coronavirus. Clin. Microbiol. Infect. 2004;10:1062–1066. doi: 10.1111/j.1469-0691.2004.01009.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Manopo I., Lu L., He Q., Chee L.L., Chan S.W., Kwang J. Evaluation of a safe and sensitive Spike protein-based immunofluorescence assay for the detection of antibody responses to SARS-CoV. J. Immunol. Methods. 2005;296:37–44. doi: 10.1016/j.jim.2004.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Fujimoto K., Chan K.H., Takeda K., Lo K.F., Leung R.H.K., Okamoto T. Sensitive and specific enzyme-linked immunosorbent assay using chemiluminescence for detection of severe acute respiratory syndrome viral infection. J. Clin. Microbiol. 2008;46:302–310. doi: 10.1128/JCM.01006-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Zhang J.S., Chen J.T., Liu Y.X., Zhang Z.S., Gao H., Liu Y., Wang X., Ning Y., Liu Y.F., Gao Q., et al. A serological survey on neutralizing antibody titer of SARS convalescent sera. J. Med. Virol. 2005;77:147–150. doi: 10.1002/jmv.20431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Perera R.A., Wang P., Gomaa M.R., El-Shesheny R., Kandeil A., Bagato O., Siu L.Y., Shehata M.M., Kayed A.S., Moatasim Y., et al. Seroepidemiology for MERS coronavirus using microneutralisation and pseudoparticle virus neutralisation assays reveal a high prevalence of antibody in dromedary camels in Egypt, june 2013. Eurosurveillance. 2013;18:20574. doi: 10.2807/1560-7917.ES2013.18.36.20574. [DOI] [PubMed] [Google Scholar]
- 101.Richardson S.E., Tellier R., Mahony J. The laboratory diagnosis of severe acute respiratory syndrome: Emerging laboratory tests for an emerging pathogen. Clin. Biochem. Rev. 2004;25:133–141. [PMC free article] [PubMed] [Google Scholar]
- 102.Park S.W., Perera R.A.P.M., Choe P.G., Lau E.H.Y., Choi S.J., Chun J.Y., Oh H.S., Song K., Bang J.H., Kim E.S., et al. Comparison of serological assays in human middle east respiratory syndrome (MERS)-coronavirus infection. Eurosurveillance. 2015;20:30042. doi: 10.2807/1560-7917.ES.2015.20.41.30042. [DOI] [PubMed] [Google Scholar]
- 103.Algaissi A., Hashem A.M. Methods in Molecular Biology. Volume 2099. Humana Press; New York, NY, USA: 2020. Evaluation of MERS-CoV neutralizing antibodies in sera using live virus microneutralization assay; pp. 107–116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Arwady M.A., Alraddadi B., Basler C., Azhar E.I., Abuelzein E., Sindy A.I., Bin Sadiq B.M., Althaqafi A.O., Shabouni O., Banjar A., et al. Middle east respiratory syndrome coronavirus transmission in extended family, Saudi Arabia, 2014. Emerg. Infect. Dis. 2016;22:1395–1402. doi: 10.3201/eid2208.152015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Lu S., Lin J., Zhang Z., Xiao L., Jiang Z., Chen J., Hu C., Luo S. Alert for non-respiratory symptoms of Coronavirus Disease 2019 (COVID-19) patients in epidemic period: A case report of familial cluster with three asymptomatic COVID-19 patients. J. Med. Virol. 2020 doi: 10.1002/jmv.25776. [DOI] [PubMed] [Google Scholar]
- 106.Mason R.J. Pathogenesis of COVID-19 from a cell biology perspective. Eur. Respir. J. 2020;55:2000607. doi: 10.1183/13993003.00607-2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Kubina R., Dziedzic A. Molecular and serological tests for COVID-19 a comparative review of SARS-CoV-2 coronavirus laboratory and point-of-care diagnostics. Diagnostics. 2020;10:434. doi: 10.3390/diagnostics10060434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Xie J., Ding C., Li J., Wang Y., Guo H., Lu Z., Wang J., Zheng C., Jin T., Gao Y., et al. Characteristics of patients with coronavirus disease (COVID-19) confirmed using an IgM-IgG antibody test. J. Med. Virol. 2020;92:2004–2010. doi: 10.1002/jmv.25930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Yin Y., Wunderink R.G. MERS, SARS and other coronaviruses as causes of pneumonia. Respirology. 2018;23:130–137. doi: 10.1111/resp.13196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Sun B., Feng Y., Mo X., Zheng P., Wang Q., Li P., Peng P., Liu X., Chen Z., Huang H., et al. Kinetics of SARS-CoV-2 specific IgM and IgG responses in COVID-19 patients. Emerg. Microbes Infect. 2020;9:940–948. doi: 10.1080/22221751.2020.1762515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Chen Y., Tong X., Li Y., Gu B., Yan J., Liu Y., Shen H., Huang R., Wu C. A comprehensive, longitudinal analysis of humoral responses specific to four recombinant antigens of SARS-CoV-2 in severe and non-severe COVID-19 patients. PLoS Pathog. 2020;16:e1008796. doi: 10.1371/journal.ppat.1008796. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Zhao J., Yuan Q., Wang H., Liu W., Liao X., Su Y., Wang X., Yuan J., Li T., Li J., et al. Antibody responses to SARS-CoV-2 in patients of novel coronavirus disease 2019. Clin. Infect. Dis. 2020 doi: 10.1093/cid/ciaa344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Okba N.M.A., Muller M.A., Li W., Wang C., GeurtsvanKessel C.H., Corman V.M., Lamers M.M., Sikkema R.S., de Bruin E., Chandler F.D., et al. SARS-CoV-2 specific antibody responses in COVID-19 patients. medRxiv. 2020 doi: 10.1101/2020.03.18.20038059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Li Z., Yi Y., Luo X., Xiong N., Liu Y., Li S., Sun R., Wang Y., Hu B., Chen W., et al. Development and clinical application of a rapid IgM-IgG combined antibody test for SARS-CoV-2 infection diagnosis. J. Med. Virol. 2020;92:1524–14518. doi: 10.1002/jmv.25727. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Thevarajan I., Nguyen T.H.O., Koutsakos M., Druce J., Caly L., van de Sandt C.E., Jia X., Nicholson S., Catton M., Cowie B., et al. Breadth of concomitant immune responses prior to patient recovery: A case report of non-severe COVID-19. Nat. Med. 2020;26:453–455. doi: 10.1038/s41591-020-0819-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.McElroy A.K., Akondy R.S., Davis C.W., Ellebedy A.H., Mehta A.K., Kraft C.S., Lyon G.M., Ribner B.S., Varkey J., Sidney J., et al. Human Ebola virus infection results in substantial immune activation. Proc. Natl. Acad. Sci. USA. 2015;112:4719–4724. doi: 10.1073/pnas.1502619112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Koutsakos M., Wheatley A.K., Loh L., Clemens E.B., Sant S., Nüssing S., Fox A., Chung A.W., Laurie K.L., Hurt A.C., et al. Circulating TFH cells, serological memory, and tissue compartmentalization shape human influenza-specific B cell immunity. Sci. Transl. Med. 2018;10:eaan8405. doi: 10.1126/scitranslmed.aan8405. [DOI] [PubMed] [Google Scholar]
- 118.Haveri A., Smura T., Kuivanen S., Österlund P., Hepojoki J., Ikonen N., Pitkäpaasi M., Blomqvist S., Rönkkö E., Kantele A., et al. Serological and molecular findings during SARS-CoV-2 infection: The first case study in Finland, January to February 2020. Eurosurveillance. 2020;25:2000266. doi: 10.2807/1560-7917.ES.2020.25.11.2000266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.La Marca A., Capuzzo M., Paglia T., Roli L., Trenti T., Nelson S.M. Testing for SARS-CoV-2 (COVID-19): A systematic review and clinical guide to molecular and serological in-vitro diagnostic assays. Reprod. Biomed. Online. 2020;41:483–499. doi: 10.1016/j.rbmo.2020.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Guo L., Ren L., Yang S., Xiao M., Chang D., Yang F., Dela Cruz C.S., Wang Y., Wu C., Xiao Y., et al. Profiling Early Humoral Response to Diagnose Novel Coronavirus Disease (COVID-19) Clin. Infect. Dis. 2020;71:778–785. doi: 10.1093/cid/ciaa310. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Xiang F., Wang X., He X., Peng Z., Yang B., Zhang J., Zhou Q., Ye H., Ma Y., Li H., et al. Antibody Detection and Dynamic Characteristics in Patients with COVID-19. Clin. Infect. Dis. 2020:1–23. doi: 10.1093/cid/ciaa461. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Infantino M., Grossi V., Lari B., Bambi R., Perri A., Manneschi M., Terenzi G., Liotti I., Ciotta G., Taddei C., et al. Diagnostic accuracy of an automated chemiluminescent immunoassay for anti-SARS-CoV-2 IgM and IgG antibodies: An Italian experience. J. Med. Virol. 2020;92:1671–1675. doi: 10.1002/jmv.25932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Jin Y., Wang M., Zuo Z., Fan C., Ye F., Cai Z., Wang Y., Cui H., Pan K., Xu A. Diagnostic value and dynamic variance of serum antibody in coronavirus disease 2019. Int. J. Infect. Dis. 2020;94:49–52. doi: 10.1016/j.ijid.2020.03.065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Soleimani R., Khourssaji M., Gruson D., Rodriguez-Villalobos H., Berghmans M., Belkhir L., Yombi J.C., Kabamba-Mukadi B. Clinical usefulness of fully automated chemiluminescent immunoassay for quantitative antibody measurements in COVID-19 patients. J. Med. Virol. 2020 doi: 10.1002/jmv.26430. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Long Q.X., Liu B.Z., Deng H.J., Wu G.C., Deng K., Chen Y.K., Liao P., Qiu J.F., Lin Y., Cai X.F., et al. Antibody responses to SARS-CoV-2 in patients with COVID-19. Nat. Med. 2020;26:845–848. doi: 10.1038/s41591-020-0897-1. [DOI] [PubMed] [Google Scholar]
- 126.Cai X.F., Chen J., Li Hu J., Long Q.X., Deng H.J., Liu P., Fan K., Liao P., Liu B.Z., Wu G.C., et al. A Peptide-Based Magnetic Chemiluminescence Enzyme Immunoassay for Serological Diagnosis of Coronavirus Disease 2019. J. Infect. Dis. 2020;222:189–193. doi: 10.1093/infdis/jiaa243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Perera R.A.P.M., Mok C.K.P., Tsang O.T.Y., Lv H., Ko R.L.W., Wu N.C., Yuan M., Leung W.S., Chan J.M.C., Chik T.S.H., et al. Serological assays for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), March 2020. Eurosurveillance. 2020;25:2000421. doi: 10.2807/1560-7917.ES.2020.25.16.2000421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Du Z., Zhu F., Guo F., Yang B., Wang T. Detection of antibodies against SARS-CoV-2 in patients with COVID-19. J. Med. Virol. 2020;92:1735–1738. doi: 10.1002/jmv.25820. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Jääskeläinen A.J., Kekäläinen E., Kallio-Kokko H., Mannonen L., Kortela E., Vapalahti O., Kurkela S., Lappalainen M. Evaluation of commercial and automated SARS-CoV-2 IgG and IgA ELISAs using coronavirus disease (COVID-19) patient samples. Eurosurveillance. 2020;25:2000603. doi: 10.2807/1560-7917.ES.2020.25.18.2000603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Cassaniti I., Novazzi F., Giardina F., Salinaro F., Sachs M., Perlini S., Bruno R., Mojoli F., Baldanti F. Performance of VivaDiag COVID-19 IgM/IgG Rapid Test is inadequate for diagnosis of COVID-19 in acute patients referring to emergency room department. J. Med. Virol. 2020:1–4. doi: 10.1002/jmv.25800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Pan Y., Li X., Yang G., Fan J., Tang Y., Zhao J., Long X., Guo S., Zhao Z., Liu Y., et al. Serological immunochromatographic approach in diagnosis with SARS-CoV-2 infected COVID-19 patients. J. Infect. 2020;81:e28–e32. doi: 10.1016/j.jinf.2020.03.051. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Wang X., Guo X., Prof A., Xin Q., Pan Y., Li J., Chu Y., Feng Y., Wang Q., Youan B. Neutralizing Antibodies Responses to SARS-CoV-2 in COVID-19 Inpatients and Convalescent Patients. medRxiv. 2020 doi: 10.1101/2020.04.15.20065623. [DOI] [Google Scholar]
- 133.Jia X., Zhang P., Tian Y., Wang J., Zeng H., Wang J., Jiao L., Chen Z., Zhang L., He H., et al. Clinical significance of IgM and IgG test for diagnosis of highly suspected COVID-19 infection. medRxiv. 2020 doi: 10.1101/2020.02.28.20029025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Liu Y., Liu Y., Diao B., Ren F., Wang Y., Ding J., Huang Q. Diagnostic Indexes of a Rapid IgG/IgM Combined Antibody Test for SARS-CoV-2. medRxiv. 2020 doi: 10.1101/2020.03.26.20044883. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Pan Y., Zhang D., Yang P., Poon L.L.M., Wang Q. Viral load of SARS-CoV-2 in clinical samples. Lancet Infect. Dis. 2020;20:411–412. doi: 10.1016/S1473-3099(20)30113-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Norman M., Gilboa T., Ogata A.F., Maley A.M., Cohen L., Cai Y., Zhang J., Feldman J.E., Hauser B.M., Caradonna T.M., et al. Ultra-Sensitive High-Resolution Profiling of Anti-SARS-CoV-2 Antibodies for Detecting Early Seroconversion in COVID-19 Patients. medRxiv Prepr. Serv. Heal. Sci. 2020 doi: 10.1101/2020.04.28.20083691. [DOI] [Google Scholar]
- 137.To K.K.W., Tsang O.T.Y., Leung W.S., Tam A.R., Wu T.C., Lung D.C., Yip C.C.Y., Cai J.P., Chan J.M.C., Chik T.S.H., et al. Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: An observational cohort study. Lancet Infect. Dis. 2020;20:565–574. doi: 10.1016/S1473-3099(20)30196-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Amanat F., Stadlbauer D., Strohmeier S., Nguyen T.H.O., Chromikova V., McMahon M., Jiang K., Arunkumar G.A., Jurczyszak D., Polanco J., et al. A serological assay to detect SARS-CoV-2 seroconversion in humans. Nat. Med. 2020;26:1033–1036. doi: 10.1038/s41591-020-0913-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Hussain A., Hasan A., Nejadi Babadaei M.M., Bloukh S.H., Chowdhury M.E.H., Sharifi M., Haghighat S., Falahati M. Targeting SARS-CoV2 Spike Protein Receptor Binding Domain by Therapeutic Antibodies. Biomed. Pharmacother. 2020;130:110559. doi: 10.1016/j.biopha.2020.110559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Hasan A., Paray B.A., Hussain A., Qadir F.A., Attar F., Aziz F.M., Sharifi M., Derakhshankhah H., Rasti B., Mehrabi M., et al. A review on the cleavage priming of the spike protein on coronavirus by angiotensin-converting enzyme-2 and furin. J. Biomol. Struct. Dyn. 2020:1–9. doi: 10.1080/07391102.2020.1754293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Al-Muharraqi M.A. Testing recommendation for COVID-19 (SARS-CoV-2) in patients planned for surgery - continuing the service and ‘suppressing’ the pandemic. Br. J. Oral Maxillofac. Surg. 2020;58:503–505. doi: 10.1016/j.bjoms.2020.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Lassaunière R., Frische A., Harboe Z., Nielsen A.C., Fomsgaard A., Krogfelt K., Jørgensen C. Evaluation of nine commercial SARS-CoV-2 immunoassays. medRxiv. 2020 doi: 10.1101/2020.04.09.20056325. [DOI] [Google Scholar]
- 143.GeurtsvanKessel C.H., Okba N.M.A., Igloi Z., Bogers S., Embregts C.W.E., Laksono B.M., Leijten L., Rokx C., Rijnders B., Rahamat-Langendoen J., et al. An evaluation of COVID-19 serological assays informs future diagnostics and exposure assessment. Nat. Commun. 2020;11:3436. doi: 10.1038/s41467-020-17317-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Andrey D.O., Cohen P., Meyer B., Torriani G., Yerly S., Mazza L., Calame A., Arm-Vernez I., Guessous I., Stringhini S., et al. Diagnostic accuracy of Augurix COVID-19 IgG serology rapid test. Eur. J. Clin. Investig. 2020;50:e13357. doi: 10.1111/eci.13357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Andrey D.O., Cohen P., Meyer B., Torriani G., Yerly S., Mazza L., Calame A., Arm-Vernez I., Guessous I., Stringhini S., et al. Head-to-Head Accuracy Comparison of Three Commercial COVID-19 IgM/IgG Serology Rapid Tests. J. Clin. Med. 2020;9:2369. doi: 10.3390/jcm9082369. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.ANCY CROTTI BREAKING: BD Stops Selling COVID-19 Antibody Test it Touted in March. [(accessed on 26 September 2020)]; Available online: https://www.massdevice.com/breaking-bd-stops-selling-covid-19-antibody-test-it-touted-in-march/
- 147.Kobokovich A., West R., Grovall G. Serology-Based Tests for COVID-19. [(accessed on 24 July 2020)]; Available online: https://www.centerforhealthsecurity.org/resources/COVID-19/serology/Serology-based-tests-for-COVID-19.html.
- 148.Salminen T., Juntunen E., Talha S.M., Pettersson K. High-sensitivity lateral flow immunoassay with a fluorescent lanthanide nanoparticle label. J. Immunol. Methods. 2019;465:39–44. doi: 10.1016/j.jim.2018.12.001. [DOI] [PubMed] [Google Scholar]
- 149.Edridge A.W.D., Kaczorowska J.M., Hoste A.C.R., Bakker M., Klein M., Jebbink M.F., Matser A., Kinsella C.M., Rueda P., Prins M., et al. Human coronavirus reinfection dynamics: Lessons for SARS-CoV-2. Medrxiv. 2020:1–10. doi: 10.1101/2020.05.11.20086439. [DOI] [Google Scholar]
- 150.Kellam P., Barclay W. The dynamics of humoral immune responses following SARS-CoV-2 infection and the potential for reinfection. J. Gen. Virol. 2020;101 doi: 10.1099/jgv.0.001439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Zhang W., Du R.H., Li B., Zheng X.S., Yang X.-L., Hu B., Wang Y.Y., Xiao G.F., Yan B., Shi Z.L., et al. Molecular and serological investigation of 2019-nCoV infected patients: Implication of multiple shedding routes. Emerg. Microbes Infect. 2020;9:386–389. doi: 10.1080/22221751.2020.1729071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Demey B., Daher N., François C., Lanoix J.P., Duverlie G., Castelain S., Brochot E. Dynamic profile for the detection of anti-SARS-CoV-2 antibodies using four immunochromatographic assays. J. Infect. 2020;81:e6–e10. doi: 10.1016/j.jinf.2020.04.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Casadevall A., Joyner M.J., Pirofski L.-A. SARS-CoV-2 viral load and antibody responses: The case for convalescent plasma therapy. J. Clin. Investig. 2020;130 doi: 10.1172/JCI139760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Du D., Fu H.J., Ren W.-W., Li X.L., Guo L.H. PSA targeted dual-modality manganese oxide–mesoporous silica nanoparticles for prostate cancer imaging. Biomed. Pharmacother. 2020;121:109614. doi: 10.1016/j.biopha.2019.109614. [DOI] [PubMed] [Google Scholar]
- 155.Che X., Qiu L., Liao Z., Wang Y., Wen K., Pan Y., Hao W., Mei Y., Cheng V.C.C., Yuen K. Antigenic Cross-Reactivity between Severe Acute Respiratory Syndrome–Associated Coronavirus and Human Coronaviruses 229E and OC43. J. Infect. Dis. 2005;191:2033–2037. doi: 10.1086/430355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Wang N., Li S.Y., Yang X., Huang H.M., Zhang Y.J., Guo H., Luo C.M., Miller M., Zhu G., Chmura A.A., et al. Serological Evidence of Bat SARS-Related Coronavirus Infection in Humans, China. Virol. Sin. 2018;33:104–107. doi: 10.1007/s12250-018-0012-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Jacofsky D., Jacofsky E.M., Jacofsky M. Understanding Antibody Testing for COVID-19. J. Arthroplasty. 2020;35:S74–S81. doi: 10.1016/j.arth.2020.04.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Wölfel R., Corman V.M., Guggemos W., Seilmaier M., Zange S., Müller M.A., Niemeyer D., Jones T.C., Vollmar P., Rothe C., et al. Virological assessment of hospitalized patients with COVID-2019. Nature. 2020;581:465–469. doi: 10.1038/s41586-020-2196-x. [DOI] [PubMed] [Google Scholar]
- 159.Carbone M., Green J.B., Bucci E.M., Lednicky J.A. Coronaviruses: Facts, Myths, and Hypotheses. J. Thorac. Oncol. 2020;15:675–678. doi: 10.1016/j.jtho.2020.02.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Petherick A. Developing antibody tests for SARS-CoV-2. Lancet. 2020;395:1101–1102. doi: 10.1016/S0140-6736(20)30788-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.Grady D. Coronavirus Test Kits Sent to States Are Flawed, C.D.C. Says. [(accessed on 1 June 2020)]; Available online: https://www.nytimes.com/2020/02/12/health/coronavirus-test-kits-cdc.html.
- 162.Xiang J., Yan M., Li H., Liu T., Lin C., Huang S., Shen C. Evaluation of Enzyme-Linked Immunoassay and Colloidal Gold- Immunochromatographic Assay Kit for Detection of Novel Coronavirus (SARS-Cov-2) Causing an Outbreak of Pneumonia (COVID-19) medRxiv. 2020 doi: 10.1101/2020.02.27.20028787. [DOI] [Google Scholar]
- 163.Pollán M., Pérez-Gómez B., Pastor-Barriuso R., Oteo J., Hernán M.A., Pérez-Olmeda M., Sanmartín J.L., Fernández-García A., Cruz I., Fernández de Larrea N., et al. Prevalence of SARS-CoV-2 in Spain (ENE-COVID): A nationwide, population-based seroepidemiological study. Lancet. 2020;396:535–544. doi: 10.1016/S0140-6736(20)31483-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.Stringhini S., Wisniak A., Piumatti G., Azman A.S., Lauer S.A., Baysson H., De Ridder D., Petrovic D., Schrempft S., Marcus K., et al. Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Geneva, Switzerland (SEROCoV-POP): A population-based study. Lancet. 2020;396:313–319. doi: 10.1016/S0140-6736(20)31304-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165.Stubblefield W.B., Talbot H.K., Feldstein L., Tenforde M.W., Rasheed M.A.U., Mills L., Lester S.N., Freeman B., Thornburg N.J., Jones I.D., et al. Seroprevalence of SARS-CoV-2 Among Frontline Healthcare Personnel During the First Month of Caring for COVID-19 Patients—Nashville, Tennessee. Clin. Infect. Dis. 2020 doi: 10.1093/cid/ciaa936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166.Batisse D., Benech N., Botelho-Nevers E., Bouiller K., Collarino R., Conrad A., Gallay L., Goehringer F., Gousseff M., Joseph D.C., et al. Clinical recurrences of COVID-19 symptoms after recovery: Viral relapse, reinfection or inflammatory rebound? J. Infect. 2020 doi: 10.1016/j.jinf.2020.06.073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.Dufort E.M., Koumans E.H., Chow E.J., Rosenthal E.M., Muse A., Rowlands J., Barranco M.A., Maxted A.M., Rosenberg E.S., Easton D., et al. Multisystem inflammatory syndrome in children in New York state. N. Engl. J. Med. 2020;383:347–358. doi: 10.1056/NEJMoa2021756. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Feldstein L.R., Rose E.B., Horwitz S.M., Collins J.P., Newhams M.M., Son M.B.F., Newburger J.W., Kleinman L.C., Heidemann S.M., Martin A.A., et al. Multisystem inflammatory syndrome in U.S. Children and adolescents. N. Engl. J. Med. 2020;383:334–346. doi: 10.1056/NEJMoa2021680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Consiglio C.R., Cotugno N., Sardh F., Pou C., Amodio D., Rodriguez L., Tan Z., Zicari S., Ruggiero A., Pascucci G.R., et al. The Immunology of Multisystem Inflammatory Syndrome in Children with COVID-19. Cell. 2020 doi: 10.1016/j.cell.2020.09.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Nakra N.A., Blumberg D.A., Herrera-Guerra A., Lakshminrusimha S. Multi-System Inflammatory Syndrome in Children (MIS-C) Following SARS-CoV-2 Infection: Review of Clinical Presentation, Hypothetical Pathogenesis, and Proposed Management. Children. 2020;7:69. doi: 10.3390/children7070069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.Ahmed M., Advani S., Moreira A., Zoretic S., Martinez J., Chorath K., Acosta S., Naqvi R., Burmeister-Morton F., Burmeister F., et al. Multisystem inflammatory syndrome in children: A systematic review. EClinicalMedicine. 2020;26:100527. doi: 10.1016/j.eclinm.2020.100527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172.Greene A.G., Saleh M., Roseman E., Sinert R. Toxic shock-like syndrome and COVID-19: A case report of multisystem inflammatory syndrome in children (MIS-C) Am. J. Emerg. Med. 2020 doi: 10.1016/j.ajem.2020.05.117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173.Whittaker E., Bamford A., Kenny J., Kaforou M., Jones C.E., Shah P., Ramnarayan P., Fraisse A., Miller O., Davies P., et al. Clinical Characteristics of 58 Children with a Pediatric Inflammatory Multisystem Syndrome Temporally Associated with SARS-CoV-2. JAMA. 2020;324:259–269. doi: 10.1001/jama.2020.10369. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Dolinger M.T., Person H., Smith R., Jarchin L., Pittman N., Dubinsky M.C., Lai J. Pediatric Crohn Disease and Multisystem Inflammatory Syndrome in Children (MIS-C) and COVID-19 Treated With Infliximab. J. Pediatr. Gastroenterol. Nutr. 2020 doi: 10.1097/MPG.0000000000002809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Kaushik S., Aydin S.I., Derespina K.R., Bansal P.B., Kowalsky S., Trachtman R., Gillen J.K., Perez M.M., Soshnick S.H., Conway E.E., et al. Multisystem Inflammatory Syndrome in Children Associated with Severe Acute Respiratory Syndrome Coronavirus 2 Infection (MIS-C): A Multi-institutional Study from New York City. J. Pediatr. 2020;224:24–29. doi: 10.1016/j.jpeds.2020.06.045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.Carter M.J., Fish M., Jennings A., Doores K.J., Wellman P., Seow J., Acors S., Graham C., Timms E., Kenny J., et al. Peripheral immunophenotypes in children with multisystem inflammatory syndrome associated with SARS-CoV-2 infection. Nat. Med. 2020 doi: 10.1038/s41591-020-1054-6. [DOI] [PubMed] [Google Scholar]
- 177.Nancy Fliesler COVID-19 and a Serious Inflammatory Syndrome in Children: Unpacking Recent Warnings. [(accessed on 8 October 2020)]; Available online: https://discoveries.childrenshospital.org/covid-19-inflammatory-syndrome-children/
- 178.Jiang L., Tang K., Levin M., Irfan O., Morris S.K., Wilson K., Klein J.D., Bhutta Z.A. COVID-19 and multisystem inflammatory syndrome in children and adolescents. Lancet Infect. Dis. 2020 doi: 10.1016/S1473-3099(20)30651-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179.Gupta A., Madhavan M.V., Sehgal K., Nair N., Mahajan S., Sehrawat T.S., Bikdeli B., Ahluwalia N., Ausiello J.C., Wan E.Y., et al. Extrapulmonary manifestations of COVID-19. Nat. Med. 2020;26:1017–1032. doi: 10.1038/s41591-020-0968-3. [DOI] [PubMed] [Google Scholar]
- 180.Case Series of Multisystem Inflammatory Syndrome in Adults Associated with SARS-CoV-2 Infection—United Kingdom and United States. March–August 2020. [(accessed on 8 October 2020)]; doi: 10.15585/mmwr.mm6940e1. Available online: https://www.cdc.gov/mmwr/volumes/69/wr/mm6940e1.htm. [DOI] [PMC free article] [PubMed]
- 181.Gbesemete D., Barker M., Lawrence W.T., Watson D., De Graaf H., Read R.C. Exploring the acceptability of controlled human infection with SARSCoV2—A public consultation. BMC Med. 2020;18:209. doi: 10.1186/s12916-020-01670-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Centers for Disease Control and Prevention COVID-19 Serology Surveillance Strategy. [(accessed on 24 July 2020)]; Available online: https://www.cdc.gov/coronavirus/2019-ncov/covid-data/serology-surveillance/index.html.
- 183.Wang L., Shi W., Joyce M.G., Modjarrad K., Zhang Y., Leung K., Lees C.R., Zhou T., Yassine H.M., Kanekiyo M., et al. Evaluation of candidate vaccine approaches for MERS-CoV. Nat. Commun. 2015;6:7712. doi: 10.1038/ncomms8712. [DOI] [PMC free article] [PubMed] [Google Scholar]