ABSTRACT
The ongoing coronavirus disease 2019 (COVID-19) pandemic has seen an unprecedented increase in the demand for rapid and reliable diagnostic tools, leaving many laboratories scrambling for resources. We present a fast and simple assay principle for antigen detection and demonstrate its functionality by detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigens in nasopharyngeal swabs. The method is based on the detection of SARS-CoV-2 nucleoprotein (NP) and S protein (SP) via time-resolved Förster resonance energy transfer (TR-FRET) with donor- and acceptor-labeled polyclonal anti-NP and -SP antibodies. Using recombinant proteins and cell culture-grown SARS-CoV-2, the limits of detection were established as 25 pg of NP or 20 infectious units (IU) and 875 pg of SP or 625 IU. Testing reverse transcription-PCR (RT-PCR)-positive (n = 48, with cycle threshold [CT] values from 11 to 30) or -negative (n = 96) nasopharyngeal swabs demonstrated that the assay yielded positive results for all samples with CT values of <25 and for a single RT-PCR-negative sample. Virus isolation from the RT-PCR-positive nasopharyngeal swabs showed a strong association between the presence of infectious virus and a positive antigen test result. The NP-based assay showed 97.4% (37/38) sensitivity and 100% (10/10) specificity in comparison with virus isolation and 77.1% (37/48) sensitivity and 99.0% (95/96) specificity in comparison with SARS-CoV-2 RT-PCR. The assay is performed in a buffer that neutralizes SARS-CoV-2 infectivity, and the assay is relatively simple to set up as an “in-house” test. Here, SARS-CoV-2 served as the model pathogen, but the assay principle is applicable to other viral infections, and the test format could easily be adapted to high-throughput testing.
KEYWORDS: antigen test, COVID-19, SARS-CoV-2, TR-FRET, mix and read, rapid diagnostic test
INTRODUCTION
The ongoing coronavirus disease 2019 (COVID-19) pandemic has by December 2020 claimed almost 1.5 million lives globally, with over 60 million confirmed infections. To manage the disease, accurate diagnostic tools are of key importance. Detection of the causative agent, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or its parts is the cornerstone of diagnosis, as the disease presentation is often indistinguishable from those of other respiratory infections. The mainstay of COVID-19 diagnosis is reverse transcription-PCR (RT-PCR) testing, done typically from a nasopharyngeal swab (NPS), while oropharyngeal or midturbinate swabs as well as salivary samples are also in use. Alternatively, the less-labor-intensive antigen detection tests are also increasingly being deployed. Antigen tests tend to be specific but analytically less sensitive than RT-PCR. RT-PCR can detect viral nucleic acid even after the infectious virus has waned, with the individual at this time being unlikely to pose a transmission risk (1–3). Evidence suggests that antigen testing may correlate with the recovery of infectious virus better than a binary RT-PCR (4). Frequent antigen testing has been proposed as an alternative approach in reducing the community transmission of SARS-CoV-2 (5).
SARS-CoV-2 is an enveloped positive-sense single-stranded RNA [(+)ssRNA] virus of the genus Betacoronavirus subfamily Orthocoronavirinae in the family Coronaviridae of the order Nidovirales. It contains four structural proteins. The nucleoprotein (NP) forms a ribonucleoprotein complex with the 30-kb nonsegmented viral genome. The envelope (E) and membrane (M) proteins are embedded in the envelope, as is the spike protein (SP), protruding from the virion surface and generating large surface projections termed the corona. The SP undergoes processing to yield S1, which contains the receptor-binding domain (RBD) initially attaching the virus to angiotensin-converting enzyme 2 (ACE-2) on the host cell membrane, and S2, which mediates virus-cell fusion. In response to the pandemic, dozens of commercial SARS-CoV-2 antigen tests are available, predominantly of a lateral flow or enzyme immunoassay type. Most target NP as the analyte (6). Of the seven antigen tests having received emergency use authorization (EUA) from the U.S. Food and Drug Administration (FDA) by December 2020, six target NP, and one targets SP (7).
Over the past few years, we have actively employed time-resolved Förster resonance energy transfer (TR-FRET) as the basis of rapid homogeneous “mix-and-read” immunoassays for antibody detection (8–14). FRET occurs when a donor and an acceptor fluorophore are in proximity, whereby the excited donor transfers energy to the acceptor, which then emits a photon at a distinct wavelength. The closer the donor and acceptor are, the more frequent the energy transfer is, with a 50% efficiency typically being achieved at a distance of 15 to 60 Å. Chelated lanthanide donor-enabled TR-FRET allows measurement from autofluorescent biological samples.
Here, we describe a rapid TR-FRET-based method for antigen detection and use SARS-CoV-2 NP and SP as the model antigens. In the assay, polyclonal anti-NP and anti-RBD rabbit antibodies, each labeled with either a donor or an acceptor fluorophore, are combined at an equimolar ratio and mixed with the clinical sample. The antigen, if present, binds the labeled antibodies and brings the fluorophores into proximity. This results in a TR-FRET signal upon excitation, indicating the presence of the antigen. We initially demonstrate the limits of detection (LODs) for recombinant NP and SP as well as cell culture-grown SARS-CoV-2. We then evaluate the assay performance among 48 RT-PCR-positive and 96 negative clinical NPS samples and compare the antigen detection results to those of RT-PCR and virus cultivation.
RESULTS
Proof of concept for the homogeneous antigen detection assay.
We hypothesized that homogeneous, i.e., in-solution, detection of antigens could be achieved utilizing a polyclonal antibody separately labeled with fluorophores forming a FRET pair. To test the hypothesis and the assay principle presented in Fig. 1, we generated antisera against SARS-CoV-2 NP and the RBD of SP, with titers of >204,800 based on NP and SP enzyme-linked immunosorbent assays (ELISAs), respectively. Following affinity purification, the antibodies were labeled with chelated europium (Eu) (donor) and Alexa Fluor 647 (AF647) (acceptor). In the first experiments, we tested the assay principle by mixing recombinant NP and SP with 1 μM (500 nM Eu-labeled and 500 nM AF647-labeled) anti-NP and anti-RBD antibody mixtures in the presence of increasing bovine serum albumin (BSA) concentrations. The addition of BSA increased the signal-to-noise ratio, encouraging us to evaluate the assay performances further by utilizing infectious SARS-CoV-2-containing cell culture supernatants and different buffer compositions. The assay with 1 μM antibody concentrations produced respectable signal-to-noise ratios in detergent-containing RIPA (radioimmunoprecipitation assay) buffer (see Fig. S1 in the supplemental material). The RIPA buffer (see Materials and Methods for the full recipe) used here contained 1% NP-40 and 0.1% SDS, both of which have been shown to effectively inactivate the enveloped SARS-CoV-2 (15, 16), which is why we decided to employ RIPA buffer for the subsequent analyses.
Assay optimization using recombinant antigens and SARS-CoV-2.
To optimize the assay performance, we mixed the labeled antibodies at equimolar ratios with known amounts of recombinant NP and SP and recorded the produced TR-FRET signals (as HTRF [homogeneous time-resolved fluorescence] values) as a function of time. The results showed that the assays produced the highest HTRF values when the concentration of labeled antibodies equaled the concentrations of the purified respective antigens (Fig. S2). Higher antibody concentrations shortened the time required to reach the signal peak (fold increase in the HTRF value, HTRFsample/HTRFbuffer): with an antibody concentration of 5 nM (2.5 nM Eu- plus 2.5 nM AF647-labeled antibodies), it took ∼60 min for the signal to peak for both NP and SP, whereas with an antibody concentration of 500 nM, the NP signal peak occurred in 7 min, and the SP signal peaked in ∼30 min. We also tested the assay performances with Eu- and AF-labeled antibodies mixed at unequal proportions of 1:2 and 2:1, but this did not increase the signal-to-background ratio (Table S1).
We then evaluated the assay performance at 50, 25, 12, and 6 nM total antibody concentrations using SARS-CoV-2-containing cell culture supernatants at different dilutions. We included a UV-inactivated cell culture supernatant to find out whether UV inactivation would affect the analysis. The results concurred with the findings using recombinant antigens and showed the dependence of the TR-FRET signal kinetics on the antigen concentration (Fig. S3). The results further indicated that a 12 nM total antibody concentration enables the measurement of antigens over a broad range of virus concentrations and that infectious and UV-inactivated SARS-CoV-2 produce similar results.
Limits of detection.
To assess the limits of detection (LODs) for the assays at a 12 nM total antibody concentration, we spiked a pool of NPS samples with either purified antigens or inactivated SARS-CoV-2 at different dilutions. With purified antigens, the lowest concentrations producing readily detectable signals were 0.05 nM for NP and 0.5 nM for SP (Fig. S4a and b). With UV-inactivated SARS-CoV-2, dilutions of the supernatant up to 1:5,120 and 1:160 produced reliably measurable signals with anti-NP and anti-RBD antibodies, respectively (Fig. S4c and d). With the 10-μl sample volume, the detection limits of the assay were ∼25 pg for recombinant NP (using a molecular weight of 50 kDa) and 875 pg for SP (using a molecular weight of 175 kDa). Correspondingly, the NP assay could detect approximately 15 PFU and the RBD assay could detect approximately 420 PFU (converted by using the formula 0.7 × 50% tissue culture infectious doses [TCID50] per milliliter = PFU per milliliter) per reaction.
Detection of SARS-CoV-2 antigens in NPS samples.
After setting up the assay conditions using recombinant proteins and cell culture-grown virus, we tested the assays for the detection of viral antigen in SARS-CoV-2 RT-PCR-positive NPS samples. We had 48 NPS samples with RT-PCR cycle threshold (CT) values linearly ranging from ∼12 to 30 (Fig. S5) and employed total antibody concentrations of 50, 25, 12, and 6 nM. We observed that samples with CT values of ≤25 yielded a signal in the NP assay (Fig. S6). By using the optimized conditions with 12 nM total labeled antibodies, the sensitivity of the NP TR-FRET assay in comparison with RT-PCR was 77.1% (37/48). The SP assay showed greater diversity; most samples with CT values of ≤15 yielded a positive result (Fig. S6). We also performed immunoblotting to detect NP and SP in NPS samples covering the CT value range of 12.8 to 26.2 and could detect SP and NP in samples with CT values of <22 (Fig. S7).
Association between infectious virus and antigen detection.
To determine to what extent the antigen assays correspond to the amounts of infectious virus in the sample, we subjected the 48 SARS-CoV-2 RT-PCR-positive NPS samples to virus isolation. Transmembrane serine protease 2 (TMPRSS2) has been reported to function in priming SARS-CoV-2 spike for entry (17), and we thus chose to use both wild-type Vero E6 cells and a clonal population of TMPRSS2-expressing Vero E6 cells (VE6-TMPRSS2-H10) (Fig. S8). As indicated by cytopathic effects (CPEs) as well as RT-PCR from the cell culture supernatants, SARS-CoV-2 was isolated from 35/48 and 38/48 NPS samples with Vero E6 and VE6-TMPRSS2-H10 cells, respectively. Interestingly, the cell culture supernatants from VE6-TMPRSS2-H10 cells yielded a positive result 3 to 5 cycles earlier than did the supernatants from Vero E6 cells, pointing to ∼10 to 40 times more efficient virus production (Fig. S9). Altogether, infectious SARS-CoV-2 was recovered from all samples showing CT values of ≤24.5. We then compared the antigen assay to virus isolation from the respective samples and observed that all of the samples with CT values of ≤24.5 were positive in the NP assay (Fig. 2a). Of the samples with CT values of >24.5, all produced a negative result in the TR-FRET NP assay, and SARS-CoV-2 was recovered from only one sample (CT, 24.87). By using the optimized conditions with 12 nM total labeled antibodies, the sensitivity of the NP assay in comparison with virus isolation was 97.4% (37/38). The performance of the SP assay was poorer; only 8/38 samples with recoverable SARS-CoV-2 yielded a positive result (Fig. 2b).
False positivity and cross-reactivity.
After finding a total antibody concentration of 12 nM ideal for the assay performance, we were interested in knowing the rate of false-positive results. To that end, we tested 96 SARS-CoV-2 RT-PCR-negative NPS samples in the TR-FRET antigen assays. In parallel, we studied the potential cross-reactivity of the cell culture-grown seasonal common cold coronaviruses hCoV-229E (human coronavirus 229E) and hCoV-NL63 in the TR-FRET assays. Among the SARS-CoV-2 RT-PCR-negative NPS samples, only one produced a positive HTRF signal. We reanalyzed this sample with another RT-PCR assay (Xpert Xpress SARS-CoV-2; Cepheid), confirming the negative result. To assess the antigen specificity of the signal, we also analyzed this sample using mismatching combinations of the labeled anti-NP and anti-RBD antibodies. All of the combinations yielded a positive result, suggesting that something other than the antigens brings the labeled antibodies together. By using the optimized conditions with 12 nM total labeled antibodies, the specificities of NP and SP TR-FRET assays in comparison with RT-PCR were 99.0% (95/96), and those in comparison with virus isolation were 100% (10/10). We then set as cutoffs for the TR-FRET assays the average plus 4 standard deviations of the signals from the SARS-CoV-2 RT-PCR-negative NPS samples (excluding the single outlier). Using these cutoffs, neither hCoV-229E nor hCoV-NL63 yielded a signal above the respective cutoffs in the NP or SP TR-FRET assay (Fig. 3). We were unable to obtain other hCoVs (OC43 and HKU1) as virus isolates or as NPS samples in a suitable buffer and thus could not evaluate the cross-reactivity further. The results with the cutoff values selected using the negative NPS samples concurred with those by the arbitrary cutoffs utilized as described above and are summarized in Fig. 2.
DISCUSSION
The SARS-CoV-2 epidemic that began in China in late 2019 quickly evolved into a pandemic in the spring of 2020. After an initial lag in ramping up the testing capacity, RT-PCR quickly became the gold standard of acute SARS-CoV-2 diagnostics. While RT-PCR is very sensitive in picking up individuals with acute infection, the downside is that patients recovering from COVID-19 can remain RT-PCR positive over a long period. Antigen testing, on the other hand, is somewhat less sensitive for detecting patients with acute infection; however, there appears to be a better correlation between the presence of antigen and infectious virus in the NPS samples. In this article, we describe a technique for rapid antigen detection and used SARS-CoV-2 as the model pathogen. We evaluated the test by detecting SARS-CoV-2 antigen in NPS samples and compared the test’s performance against virus isolation and RT-PCR. The assay is quick and very easy to use; furthermore, the assay is rather uncomplicated to set up provided that specific antibodies against the structural proteins of the virus are available. We employed polyclonal instead of monoclonal antibodies in the assay because we think that an assay relying on polyclonal antibodies would perform better in the case of virus variants. We think that the assay can be set up using monoclonal antibodies and likely combinations or pools of monoclonal antibodies. The fluorophores (chelated Eu and Alexa Fluor 647) are readily available, and the results can be read on any microplate reader capable of measuring time-resolved fluorescence. Notably, we set up the assay in detergent-containing RIPA buffer, which contains 1% NP-40 and 0.1% SDS, both of which inactivate SARS-CoV-2 (15, 16). Thus, collecting the NPS samples directly into this matrix would significantly increase safety for the end user.
We set up the assay for the detection of both NP and SP of SARS-CoV-2 but observed a clear difference between the LODs of the two assays, with NP being detected at an ∼35-times-lower concentration. This is likely explained by the fact that we employed an antibody directed against the RBD, which constitutes only about one-sixth of the SP. The fact that the antibody in use recognizes only a single domain could make it sterically impossible for two antibody molecules to bind a single SP molecule, and thus, we speculate that the obtained signal came from SP trimers, i.e., spikes. NP is more abundant in both virions and infected cells (see Fig. S7 in the supplemental material), which additionally contributed to the higher sensitivity of NP detection in cell culture supernatants and NPS samples. Also, the use of polyclonal antibodies theoretically enables the simultaneous binding of several antibody molecules to a single antigen molecule, thus increasing the assay sensitivity.
Performance analysis of the antigen assay using NPS samples from 48 SARS-CoV-2 RT-PCR-positive and 96 negative individuals revealed that the NP assay correctly identified 37 of the positive samples and all but 1 of the negative samples. All 37 true-positive samples had a CT value of <25 cycles in the diagnostic RT-PCR. Similar to other studies, we observed a strong association between the sample infectivity and positive antigen test results: of the 38 samples that yielded an isolate, 37 produced a positive result in the NP assay. We used 50 μl for virus isolation, while the antigen assay takes only 10 μl, which could explain why one of the samples with infectious virus was not picked up. We intentionally selected NPS samples over a broad range of CT values in SARS-CoV-2 RT-PCR to obtain an estimate of the detection limit compared to RT-PCR. The fact that we analyzed samples that were not collected fresh and had been subjected to at least one freeze-thaw cycle may have negatively affected the assay sensitivity. In any case, our test could detect 97.4% of the NPS samples with infectious virus.
Because both NP and SP antigen assays gave a positive result for a single SARS-CoV-2 RT-PCR-negative sample, we reanalyzed it using a different RT-PCR with a negative result. We also attempted virus isolation from the sample but without success. It is possible that the false-positive result is a result of cross-reactivity to a human coronavirus (hCoV) infection. Of the hCoVs, only hCoV-NL63 and SARS-CoV use the same receptor as SARS-CoV-2, i.e., angiotensin-converting enzyme 2 (ACE2) (18, 19). Thus, it would be most logical that the reactivity of this sample would be due to hCoV-NL63 because both SP (based on the RBD) and NP assays gave a positive result. However, we tested the two assays using cell culture-grown hCoV-229E and hCoV-NL63 but with negative results. Unfortunately, we did not have sample material available for evaluating the potential cross-reactivity against hCoV-OC43 and hCoV-HKU1. It appears that the sample yielding a false-positive reaction contained an interfering substance, which caused the immunoglobulins to aggregate, because labeled antibodies against different antigens also yielded a TR-FRET signal. The use of mismatching antibodies could in the future serve to discern true- and false-positive results in the TR-FRET assay.
In conclusion, we describe an antigen detection assay in which the presence of an antigen is “sensed” by the simultaneous binding of two or more fluorophore-labeled antibody molecules to the antigen. We provide a proof of concept for the assay principle utilizing SARS-CoV-2 NP and SP as the model antigens and demonstrate the assay functionality utilizing patient samples. The TR-FRET-based antigen test is rapid to perform, and its results correlate well with the presence of infectious virus in clinical samples. The assay is easy to set up if a suitable antibody against SARS-CoV-2 NP and a plate reader enabling TR-FRET measurement are available. The assay sensitivity is likely lower than those of enzyme-based assays; however, the good correlation of the positive results and virus isolation could indicate that the sensitivity reached was high enough because a test with higher sensitivity would likely also pick up samples from which virus cannot be isolated. Although the assay is not as simple and robust to use as, e.g., lateral flow tests, the assay’s clear advantage is in its throughput. We estimate that a single plate reader and an experienced technician could manually analyze hundreds of specimens per hour, ideally with a 30-min turnaround time from sample arrival to results. The assay throughput could significantly be upscaled by using automation, and like RT-PCR, sample collection would represent the major limiting factor. NPS sampling directly into a detergent-containing buffer increases the assay’s user safety. We envision that the assay could be applied widely in the field, e.g., hospitals, retirement homes, airports, train stations, and schools, to identify people likely to spread the virus.
MATERIALS AND METHODS
Patient samples and reference results.
The evaluation of the SARS-CoV-2 TR-FRET assay was conducted by using nasopharyngeal swab (NPS) specimens collected in saline. The specimens were retrieved from patients with clinically suspected COVID-19, and they were originally sent to the HUS Diagnostic Center, HUSLAB, for SARS-CoV-2 RT-PCR testing. The specimens were subsequently stored at −20°C.
The SARS-CoV-2 RT-PCR was based on a laboratory-developed test (LDT). The details and performance of the test in our laboratory setting have been described previously (20). In this method (based on the N gene [modified from the method in reference 21]), the specimens were inactivated by combining 250 μl of MagNA Pure lysis/binding buffer (Roche Diagnostics GmbH, Mannheim, Germany) and 250 μl of the specimen. Nucleic acid extraction was done from 450 μl of the specimen lysate with the MagNA Pure viral NA SV 2.0 kit (Roche Diagnostics GmbH, Mannheim, Germany). RT-PCR was performed using the SuperScript III Platinum one-step qRT-PCR kit with 600 nM the forward primer CACATTGGCACCCGCAATC, 800 nM the reverse primer GAGGAACGAGAAGAGGCTTG, and 200 nM the probe FAM (6-carboxyfluorescein)-ACTTCCTCAAGGAACAACATTGCCA-BBQ (blackberry quencher).
The SARS-CoV-2 RT-PCR-positive panel comprised 48 specimens with cycle threshold (CT) values ranging linearly between 11.42 and 29.98 in the LDT. The SARS-CoV-2 RT-PCR-negative panel comprised 96 samples negative in the LDT. Patient data were collected and samples were handled according to a research permit approved by the local review board, permit HUS/32/2018 (Helsinki University Hospital, Finland).
Cell lines, virus isolation, and propagation.
Vero E6 cells were transduced with a lentiviral vector expressing human transmembrane serine protease 2 (TMPRSS2) transcript variant 2 cDNA (GenBank accession number NM_005656.4) and blasticidin as a selection marker. Specifically, 1 ml of the 0.22-μm-filtered (Millipore) infectious supernatant of HEK293T cells transfected on a 10-cm plate 48 h earlier using 30 μg polyethylenimine with 5 μg pLenti6.3/V5-DEST TMPRSS2 (obtained from the Biomedicum Functional Genomics Unit, University of Helsinki), 5 μg p8.9NDSB (22), and 2 to 5 μg pMD2.G (a gift from Didier Trono [Addgene plasmid 12259 {https://n2t.net/addgene:12259}; RRID, Addgene_12259]) was added to Vero E6 cells seeded onto 6-well plates. Following 2 days of selection with 15 μg/ml of blasticidin S HCl (Invitrogen), the cells were allowed to expand until confluence and subcultured three times. Once confirmed p24 negative, a clonal population of Vero E6-TMPRSS2 cells was obtained by limiting dilution. The obtained clones (n = 5) were analyzed for TMPRSS2 expression by immunoblotting with V5 antibody (Invitrogen). The clone expressing the largest amount of TMPRSS2, VE6-TMPRSS2-H10, was selected for use.
SARS-CoV-2 isolation from clinical samples (stored at −20°C since the day of collection and not subjected to freeze-thawing) was attempted on both Vero E6 and VE6-TMPRSS2-H10 cells. Both cell lines were cultivated in Eagle minimal essential medium (MEM; Sigma) supplemented with 10% fetal bovine serum (FBS; Gibco), 100 IU penicillin plus 100 μg/ml streptomycin (Sigma), and 2 mM l-glutamine (Sigma). For isolation, the cells were grown on 12-well plates until approximately 90% confluent, and the growth medium was replaced with 400 μl of MEM-2% (MEM as described above but with 2% FBS), followed by the addition of 50 μl of the NPS sample (under biosafety level 3 [BSL-3] conditions) and 1 h of incubation at 37°C with 5% CO2. After two washes with MEM-2%, cultures were kept in 1 ml fresh MEM-2% for 4 days at 37°C (5% CO2), the medium was collected and clarified by centrifugation (3,000 relative centrifugal force [rcf] for 5 min), and the cells were fixed for 15 min at room temperature with 3.7% formaldehyde in phosphate-buffered saline (PBS) followed by a PBS wash and UV inactivation (500,000 μJ/cm2, UV Crosslinker CL-1000; Jena Analytik). The fixed cells were crystal violet stained, and the extent of cytopathic effect (CPE) was scored from 0 to 3 (from nonobservable to extensive cell death). To confirm infection, RNA was extracted (Qiagen QIAamp viral RNA extraction kit, according to the manufacturer’s protocol) from 100 μl of each cell culture supernatant, and the presence or absence of SARS-CoV-2 was analyzed by RT-PCR targeting the RdRp (RNA-dependent RNA polymerase) gene as described previously (21).
For TR-FRET antigen detection experiments, we produced a stock of SARS-CoV-2 in Vero E6 cells (23). Briefly, 90 to 95% confluent Vero E6 cells were inoculated with 500 μl of the 1:100-diluted SARS-CoV-2-containing supernatant (passage 7, approximately 5 × 107 50% tissue culture infectious doses [TCID50] per ml). After 1 h of virus adsorption, the medium was replaced with MEM-2%, and after 2 days at 37°C with 5% CO2, the supernatant was collected, clarified by centrifugation (3,000 rcf for 5 min), and stored in aliquots at −80°C. UV inactivation of the culture supernatants was done as described above.
Human coronaviruses 229E (hCoV-229E) (kindly provided by Sisko Tauriainen, University of Turku, Turku, Finland) and NL63 (hCoV-NL63) (kindly provided by Lia van der Hoek, Academic Medical Center, Amsterdam, Netherlands) served as controls for estimating the cross-reactivity of the assay. The hCoV-229E stock was produced by inoculating LLC-MK2 rhesus macaque kidney cells (from the ATCC) with 500 μl of the 1:1,000-diluted cell culture supernatant (approximately 5 × 109 TCID50/ml) for 1 h at 37°C with 5% CO2. After virus adsorption, the medium was changed into MEM-2%, the cells were grown for 5 days (37°C with 5% CO2), and the supernatant was collected, centrifuged (3,000 rcf for 5 min), and stored in aliquots at −80°C. The hCoV-NL63 stock was produced by inoculating human lung fibroblasts (MRC-5; ATCC) with 500 μl of 1:100-diluted cell culture supernatants (approximately 1 × 106 TCID50/ml) for 1 h at 37°C with 5% CO2. After virus adsorption, the media were replaced with MEM-2%, the cells were grown for 7 days (until the appearance of definitive CPE), and the supernatants were collected, centrifuged (3,000 rcf for 5 min), and stored in aliquots at −80°C. The hCoV-229E and hCoV-NL63 supernatants were inactivated for the experiments by mixing at a 1:10 dilution in RIPA buffer (50 mM Tris-HCl [pH 8.0], 150 mM NaCl, 1% NP-40, 0.1% SDS, 0.5% sodium deoxycholate, and Roche cOmplete EDTA-free protease inhibitor cocktail).
Antigens and antibodies.
The production and purification of SARS-CoV-2 NP and SP antigens were performed according to previously described protocols (14, 24, 25). The RBD of the SP was produced in Expi293F cells as previously described (24, 25). Rabbit antisera against the RBD and NP were generated at BioGenes GmbH (Berlin, Germany) as follows: day 0 initial dose of 150 μg, day 7 booster of 75 μg, day 14 booster of 75 μg, day 28 booster of 150 μg, and day 42 final bleed. For affinity purification, the RBD and NP were coupled to CNBr-Sepharose 4B (Cytiva) according to the manufacturer’s protocol. The respective antisera were passed through coupled Sepharoses packed into Poly-Prep chromatography columns (Bio-Rad), washed with 20 column volumes of PBS, eluted (0.1 M glycine, 150 mM NaCl [pH 2.5]) with 2 M Tris (pH 9.0), concentrated using an Amicon Ultra 15-ml 100-kDa-NMWL (nominal molecular weight limit) centrifugal filter (Millipore/Merck), and dialyzed against PBS using Slide-A-Lyzer dialysis cassettes (Thermo Scientific).
Labeling.
We labeled the affinity-purified antibodies, at 250 μg/reaction, with the donor (europium [Eu]) and acceptor (Alexa Fluor 647 [AF647]) using a QuickAllAssay Eu-chelated protein labeling kit (BN Products and Services Oy) and Alexa Fluor 647 NHS (N-hydroxysuccinimide) ester (Thermo Scientific) according to the manufacturer’s instructions. A disposable PD-10 desalting column with Sephadex G-25 resin (Cytiva) served to remove nonreacted fluorophores, and an Amicon Ultra 0.5-ml 50-kDa-NMWL centrifugal filter (Millipore/Merck) was used for concentrating the labeled antibodies, which were then stored aliquoted at −80°C until use.
TR-FRET assays.
First, we set up TR-FRET assays for SARS-CoV-2 SP and NP antigens by using the respective purified proteins as well as the corresponding Eu- and AF-labeled anti-RBD and anti-NP antibodies. The assay principle and workflow are depicted in Fig. 1. Briefly, antibody mixes with equimolar concentrations of Eu- and AF-labeled anti-RBD and anti-NP antibody concentrations were prepared in RIPA buffer. For setting up the assay, a pool of four SARS-CoV-2-negative NPS samples was divided into aliquots and spiked with either NP or SP proteins at various concentrations. Ten microliters of the antibody mix was pipetted on a 384-well microplate (ProxiPlate 384 Plus F, black 384-shallow-well microplate; PerkinElmer, USA), followed by 10 μl of the antigen-spiked sample. The TR-FRET signal was measured directly thereafter and 7, 15, 22, 30, 45, 60, and 90 min after the first measurement with a Hidex Sense microplate reader (Hidex Oy, Finland). FRET donor excitation was done at 330 nm, and after a delay of 70 μs, the donor and acceptor signals were measured for 100 μs at 616 and 665 nm, respectively. TR-FRET signals were expressed as HTRF ratios, calculated as follows: HTRF ratio = emission at 616 nm/emission at 665 nm × 10,000. Thereafter, the HTRF ratios measured from the antigen-spiked samples were compared with those measured from a nonspiked sample in the same run to calculate the fold increase in the HTRF ratio. Antibody plate concentrations ranging from 5 to 500 nM (one-half Eu and one-half AF labeled) were cross-titrated with antigen plate concentrations ranging from 5 nM to 500 nM.
The ranges of antigen concentrations detectable by TR-FRET (at Eu- and AF-labeled anti-NP/RBD concentrations of 6 and 6 nM) were then assessed by performing the assay as described above using N and S plate concentrations of 5 fM to 5 nM.
To assess the assay performance with samples containing virions, cell culture supernatants containing roughly 107 TCID50/ml of SARS-CoV-2 were used. For initial experiments (carried out in a BSL-3 laboratory), an infectious cell culture supernatant (undiluted and 1:10, 1:25, 1:50, and 1:100 diluted in RIPA buffer) was used. After verifying that UV-inactivated virus produced similar results, the negative NPS sample matrix was spiked with a UV-inactivated virus-containing cell culture supernatant to yield a dilution series from 1:10 to 1:20,480. The samples were tested in the TR-FRET assays performed as described above at Eu- and AF-labeled anti-NP/RBD concentrations of 6 and 6 nM.
NPS sample analysis was done by mixing 10 μl of the sample with 10 μl of the antibody mixes (Eu- and AF-labeled anti-NP/RBD concentrations of 6 and 6 nM). The TR-FRET assays with SARS-CoV-2 RT-PCR-positive NPS samples were carried out in a BSL-3 laboratory, and those with RT-PCR-negative samples were carried out in a BSL-2 laboratory. The signals produced by hCoV-229E and hCoV-NL63 were evaluated by mixing 10 μl (undiluted and 1:10, 1:25, 1:50, and 1:100 diluted in RIPA buffer) of the cell culture supernatant with 10 μl of the antibody mixes (at Eu- and AF-labeled anti-NP/RBD concentrations of 6 and 6 nM).
ACKNOWLEDGMENTS
We acknowledge Sisko Tauriainen (University of Turku, Turku, Finland) and Lia van der Hoek (Academic Medical Center, Amsterdam, Netherlands) for providing the human coronaviruses used for evaluating cross-reactivity.
The study was supported by the Academy of Finland (grants 308613, 314119, and 335762 to J.H.).
Footnotes
Citation Rusanen J, Kareinen L, Szirovicza L, Uğurlu H, Levanov L, Jääskeläinen A, Ahava M, Kurkela S, Saksela K, Hedman K, Vapalahti O, Hepojoki J. 2021. A generic, scalable, and rapid time-resolved Förster resonance energy transfer-based assay for antigen detection—SARS-CoV-2 as a proof of concept. mBio 12:e00902-21. https://doi.org/10.1128/mBio.00902-21.
Contributor Information
Jussi Hepojoki, Email: jussi.hepojoki@helsinki.fi.
Dimitrios Paraskevis, Medical School, National and Kapodistrian University of Athens.
REFERENCES
- 1.Arons MM, Hatfield KM, Reddy SC, Kimball A, James A, Jacobs JR, Taylor J, Spicer K, Bardossy AC, Oakley LP, Tanwar S, Dyal JW, Harney J, Chisty Z, Bell JM, Methner M, Paul P, Carlson CM, McLaughlin HP, Thornburg N, Tong S, Tamin A, Tao Y, Uehara A, Harcourt J, Clark S, Brostrom-Smith C, Page LC, Kay M, Lewis J, Montgomery P, Stone ND, Clark TA, Honein MA, Duchin JS, Jernigan JA. 2020. Presymptomatic SARS-CoV-2 infections and transmission in a skilled nursing facility. N Engl J Med 382:2081–2090. doi: 10.1056/NEJMoa2008457. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Bullard J, Dust K, Funk D, Strong JE, Alexander D, Garnett L, Boodman C, Bello A, Hedley A, Schiffman Z, Doan K, Bastien N, Li Y, Van Caeseele PG, Poliquin G. 2020. Predicting infectious severe acute respiratory syndrome coronavirus 2 from diagnostic samples. Clin Infect Dis 71:2663–2666. doi: 10.1093/cid/ciaa638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Wölfel R, Corman VM, Guggemos W, Seilmaier M, Zange S, Müller MA, Niemeyer D, Jones TC, Vollmar P, Rothe C, Hoelscher M, Bleicker T, Brünink S, Schneider J, Ehmann R, Zwirglmaier K, Drosten C, Wendtner C. 2020. Virological assessment of hospitalized patients with COVID-2019. Nature 581:465–469. doi: 10.1038/s41586-020-2196-x. [DOI] [PubMed] [Google Scholar]
- 4.Pekosz A, Cooper CK, Parvu V, Li M, Andrews JC, Manabe YC, Kodsi S, Leitch J, Gary DS, Roger-Dalbert C. 2020. Antigen-based testing but not real-time PCR correlates with SARS-CoV-2 virus culture. medRxiv 10.1101/2020.10.02.20205708. [DOI] [PMC free article] [PubMed]
- 5.Mina MJ, Parker R, Larremore DB. 2020. Rethinking Covid-19 test sensitivity—a strategy for containment. N Engl J Med 383:e120. doi: 10.1056/NEJMp2025631. [DOI] [PubMed] [Google Scholar]
- 6.Dinnes J, Deeks JJ, Adriano A, Berhane S, Davenport C, Dittrich S, Emperador D, Takwoingi Y, Cunningham J, Beese S, Dretzke J, Ferrante di Ruffano L, Harris IM, Price MJ, Taylor-Phillips S, Hooft L, Leeflang MMG, Spijker R, Van den Bruel A, Cochrane COVID-19 Diagnostic Test Accuracy Group . 2020. Rapid, point‐of‐care antigen and molecular‐based tests for diagnosis of SARS‐CoV‐2 infection. Cochrane Database Syst Rev 8:CD013705. doi: 10.1002/14651858.CD013705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.US Food and Drug Administration. 2020. Coronavirus disease 2019 (COVID-19) emergency use authorizations for medical devices: in vitro diagnostic EUAs. US Food and Drug Administration, Silver Spring, MD. https://www.fda.gov/medical-devices/coronavirus-disease-2019-covid-19-emergency-use-authorizations-medical-devices/vitro-diagnostics-euas. [Google Scholar]
- 8.Saraheimo S, Hepojoki J, Nurmi V, Lahtinen A, Hemmila I, Vaheri A, Vapalahti O, Hedman K. 2013. Time-resolved FRET-based approach for antibody detection—a new serodiagnostic concept. PLoS One 8:e62739. doi: 10.1371/journal.pone.0062739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Hepojoki S, Nurmi V, Vaheri A, Hedman K, Vapalahti O, Hepojoki J. 2014. A protein L-based immunodiagnostic approach utilizing time-resolved Forster resonance energy transfer. PLoS One 9:e106432. doi: 10.1371/journal.pone.0106432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hepojoki S, Hepojoki J, Hedman K, Vapalahti O, Vaheri A. 2015. Rapid homogeneous immunoassay based on time-resolved Förster resonance energy transfer for serodiagnosis of acute hantavirus infection. J Clin Microbiol 53:636–640. doi: 10.1128/JCM.02994-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hepojoki S, Rusanen J, Hepojoki J, Nurmi V, Vaheri A, Lundkvist A, Hedman K, Vapalahti O. 2015. Competitive homogeneous immunoassay for rapid serodiagnosis of hantavirus disease. J Clin Microbiol 53:2292–2297. doi: 10.1128/JCM.00663-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Kareinen L, Hepojoki S, Huhtamo E, Korhonen EM, Schmidt-Chanasit J, Hedman K, Hepojoki J, Vapalahti O. 2019. Immunoassay for serodiagnosis of Zika virus infection based on time-resolved Forster resonance energy transfer. PLoS One 14:e0219474. doi: 10.1371/journal.pone.0219474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Rusanen J, Toivonen A, Hepojoki J, Hepojoki S, Arikoski P, Heikkinen M, Vaarala O, Ilonen J, Hedman K. 2019. LFRET, a novel rapid assay for anti-tissue transglutaminase antibody detection. PLoS One 14:e0225851. doi: 10.1371/journal.pone.0225851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Rusanen J, Kareinen L, Levanov L, Mero S, Pakkanen SH, Kantele A, Amanat F, Krammer F, Hedman K, Vapalahti O, Hepojoki J. 2021. A 10-minute “mix and read” antibody assay for SARS-CoV-2. Viruses 13:143. doi: 10.3390/v13020143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Welch SR, Davies KA, Buczkowski H, Hettiarachchi N, Green N, Arnold U, Jones M, Hannah MJ, Evans R, Burton C, Burton JE, Guiver M, Cane PA, Woodford N, Bruce CB, Roberts ADG, Killip MJ. 2020. Analysis of inactivation of SARS-CoV-2 by specimen transport media, nucleic acid extraction reagents, detergents, and fixatives. J Clin Microbiol 58:e01713-20. doi: 10.1128/JCM.01713-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Patterson EI, Prince T, Anderson ER, Casas-Sanchez A, Smith SL, Cansado-Utrilla C, Solomon T, Griffiths MJ, Acosta-Serrano Á, Turtle L, Hughes GL. 2020. Methods of inactivation of SARS-CoV-2 for downstream biological assays. J Infect Dis 222:1462–1467. doi: 10.1093/infdis/jiaa507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Hoffmann M, Kleine-Weber H, Schroeder S, Krüger N, Herrler T, Erichsen S, Schiergens TS, Herrler G, Wu N, Nitsche A, Müller MA, Drosten C, Pöhlmann S. 2020. SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell 181:271–280.e8. doi: 10.1016/j.cell.2020.02.052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Hofmann H, Pyrc K, van der Hoek L, Geier M, Berkhout B, Pöhlmann S. 2005. Human coronavirus NL63 employs the severe acute respiratory syndrome coronavirus receptor for cellular entry. Proc Natl Acad Sci U S A 102:7988–7993. doi: 10.1073/pnas.0409465102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Li F. 2015. Receptor recognition mechanisms of coronaviruses: a decade of structural studies. J Virol 89:1954–1964. doi: 10.1128/JVI.02615-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Mannonen L, Kallio-Kokko H, Loginov R, Jääskeläinen A, Jokela P, Antikainen J, Väre P, Kekäläinen E, Kurkela S, Jarva H, Lappalainen M. 2021. Comparison of two commercial platforms and a laboratory developed test for detection of SARS-CoV-2 RNA. J Mol Diagn 23:407–416. doi: 10.1016/j.jmoldx.2021.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Corman VM, Landt O, Kaiser M, Molenkamp R, Meijer A, Chu DKW, Bleicker T, Brünink S, Schneider J, Schmidt ML, Mulders DGJC, Haagmans BL, van der Veer B, van den Brink S, Wijsman L, Goderski G, Romette J-L, Ellis J, Zambon M, Peiris M, Goossens H, Reusken C, Koopmans MPG, Drosten C. 2020. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill 25:2000045. doi: 10.2807/1560-7917.ES.2020.25.3.2000045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Berthoux L, Sebastian S, Sokolskaja E, Luban J. 2004. Lv1 inhibition of human immunodeficiency virus type 1 is counteracted by factors that stimulate synthesis or nuclear translocation of viral cDNA. J Virol 78:11739–11750. doi: 10.1128/JVI.78.21.11739-11750.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Haveri A, Smura T, Kuivanen S, Osterlund P, Hepojoki J, Ikonen N, Pitkapaasi M, Blomqvist S, Ronkko E, Kantele A, Strandin T, Kallio-Kokko H, Mannonen L, Lappalainen M, Broas M, Jiang M, Siira L, Salminen M, Puumalainen T, Sane J, Melin M, Vapalahti O, Savolainen-Kopra C. 2020. Serological and molecular findings during SARS-CoV-2 infection: the first case study in Finland, January to February 2020. Euro Surveill 25:2000266. doi: 10.2807/1560-7917.ES.2020.25.11.2000266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Stadlbauer D, Amanat F, Chromikova V, Jiang K, Strohmeier S, Arunkumar GA, Tan J, Bhavsar D, Capuano C, Kirkpatrick E, Meade P, Brito RN, Teo C, McMahon M, Simon V, Krammer F. 2020. SARS-CoV-2 seroconversion in humans: a detailed protocol for a serological assay, antigen production, and test setup. Curr Protoc Microbiol 57:e100. doi: 10.1002/cpmc.100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Amanat F, Stadlbauer D, Strohmeier S, Nguyen THO, Chromikova V, McMahon M, Jiang K, Arunkumar GA, Jurczyszak D, Polanco J, Bermudez-Gonzalez M, Kleiner G, Aydillo T, Miorin L, Fierer DS, Lugo LA, Kojic EM, Stoever J, Liu STH, Cunningham-Rundles C, Felgner PL, Moran T, García-Sastre A, Caplivski D, Cheng AC, Kedzierska K, Vapalahti O, Hepojoki JM, Simon V, Krammer F. 2020. A serological assay to detect SARS-CoV-2 seroconversion in humans. Nat Med 26:1033–1036. doi: 10.1038/s41591-020-0913-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.