The coronavirus disease 2019 (COVID-19) pandemic has highlighted the need for rapid and accurate nucleic acid detection at the point of care. Here, we report an amplification-free nucleic acid immunoassay, implemented on a lateral flow strip, for the fluorescence detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in less than one hour. The assay uses DNA probes that are designed to bind to the conserved open reading frame 1ab (ORF1ab), envelope protein (E) and the nucleocapsid (N) regions of the SARS-CoV-2 genome, and a fluorescent-nanoparticle-labelled monoclonal antibody that binds to double-stranded DNA–RNA hybrids. In a multi-hospital randomized double-blind trial involving 734 samples (593 throat swabs and 141 sputum) provided by 670 individuals, the assay achieved sensitivities of 100% and specificities of 99% for both types of sample (ground truth was determined using quantitative PCR with reverse transcription). The inexpensive amplification-free detection of SARS-CoV-2 RNA should facilitate the rapid diagnosis of COVID-19 at the point of care.
SARS-CoV-2 has spread globally to more than 100 countries and regions. Defined as SARS-CoV-2 by the International Committee on Taxonomy of Viruses, the enveloped virus belongs to the genus Betacoronavirus, and consists of round or oval particles with diameters ranging from 60 nm to 140 nm. On 11 January 2020, scientists published the whole-genome sequence of the novel coronavirus on the Virology Organization website (https://virological.org/). Two weeks later, after being approved by the National Medical Products Administration (NMPA), four nucleic acid detection kits for SARS-CoV-2 were released into the market. The genetic characteristics of this novel coronavirus are significantly different from the viruses that cause severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). Research has shown that SARS-CoV-2 has higher than 87.5% homology with bat SARS-like coronavirus (bat-SL-CoVZC45 and bat-SL-CoVZXC21)1.
To discriminate between confirmed cases of COVID-19 and suspected cases, the aetiological diagnosis of novel-coronavirus pneumonia hinges mainly on molecular biological methods, such as nucleic acid detection and gene sequencing. Second-generation sequencing technology not only requires sophisticated equipment and skilled operators but it is also time-consuming and expensive. By contrast, nucleic acid detection methods may more easily meet clinical needs for diagnosis. Fluorescence-based quantitative PCR with reverse transcription (RT–qPCR) exhibits high sensitivity and specificity, yet turnaround times can be long (from hours to days), in part due to the need for nucleic acid purification and amplification. Moreover, nearly 60% of people infected with SARS-CoV-2 develop mild symptoms or no symptoms2. There is therefore an urgent need for the development of fast, simple and high-throughput assays for nucleic acid detection.
The application of the S9.6 monoclonal antibody with high affinity and selectivity to DNA–RNA hybrid molecules3 underlies the design of our method, which we name hybrid capture fluorescence immunoassay (HC-FIA). When presented with DNA–RNA heteropolymer duplexes prepared by transcription of φX174 single-stranded DNA with DNA-dependent RNA polymerase3, this monoclonal antibody binds only to DNA–RNA hybrids and shows no response to single-stranded DNA, double-stranded DNA or ribosomal RNA. The capture of DNA–RNA hybrids by the S9.6 monoclonal antibody does not have sequence specificity3, and has been widely used in immunoprecipitation experiments of R-loop and DNA–RNA double-stranded hybrids4,5,6. Commercially available S9.6 antibodies have been used in diagnostic reagents for the human papilloma virus (HPV)7. The second generation of hybrid capture technology approved by the Food and Drug Administration can detect 13 high-risk HPV subtypes simultaneously8. The monoclonal antibody is also used to capture complexes formed by the hybridization of small RNA or microRNA, as well as various types of labelled DNA probes for signal conversion and amplification9,10,11,12,13.
In this Article, we used S9.6-monoclonal-antibody-labelled europium-chelate-based fluorescent nanoparticles (FNPs) to capture the hybridized double strands formed by the designed DNA probes and the RNA of SARS-CoV-2 on a lateral flow strip. Probe DNA-functionalized FNPs were used for signal amplification rather than target amplification, which provides substantial benefits with regard to workflows and the minimization of cross-contamination, consistent with the concept of point-of-care technology. The HC-FIA has been developed into a commercial test kit for the diagnosis of SARS-CoV-2, and has recently been approved by the NMPA (registration number, 20203400298) and acquired the European Conformity (CE; registration number, NL-CA002-2020-50112) certification. A patent application has been submitted (application number, CN201811515744.1) and is presently under review14.
In the HC-FIA system, probe DNA-functionalized FNPs amplify the signal of the hybridization of viral RNA and the DNA in the probe. The design principle of the HC-FIA biosensor is shown in Fig. 1.
Design and operation of the HC-FIA assay
The murine S9.6 monoclonal antibodies are prefixed onto the test line (T) of the lateral flow strip, and the control line (C) is coated with goat anti-rabbit IgG polyclonal antibodies (Fig. 1a). FNPs labelled with S9.6 antibodies and rabbit IgG are placed into the reaction tube. At the beginning of the detection process, the SARS-CoV-2 in the throat swab or sputum sample is lysed and released, and the released RNA hybridizes with the specific SARS-CoV-2 DNA probe. The resulting RNA–DNA hybrid is captured by the FNP-labelled S9.6 antibodies, and the complex flows along the sample pad and the nitrocellulose membrane towards the absorbent paper under capillary forces. When passing through the T area, the complex is captured by the S9.6 antibodies, gradually generating a fluorescent signal. In the C area, FNP-labelled rabbit IgG is captured by the anti-rabbit IgG. The presence or absence of the target SARS-CoV-2 RNA is based on a cut-off value for fluorescence intensity (Fig. 1b,c). Figure 1d shows a portable suitcase laboratory that has the ability to provide qualitative results in less than an hour after the following two steps: hybridization and immunofluorescence analysis (Fig. 1e).
Here we used the ratio of the test fluorescence signal to the control fluorescence signal (T/C) on the lateral flow strip such that the influence of any background fluorescence of the test card was minimized. By measuring the T/C ratio of throat swab samples from 211 healthy individuals, we found that the average background T/C ratio was 49.95, with a s.d. of 17.16 (Supplementary Fig. 1a). The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to determine the cut-off value and assess the diagnostic accuracy of the HC-FIA assay on the basis of sensitivity and specificity at various thresholds. We determined a ROC curve with an AUC of 0.999 with a 95% confidence interval (CI) of 0.997–1.000 (Supplementary Fig. 1b) using throat swab samples from 100 clinically confirmed and excluded COVID-19 cases. The cut-off value that obtained the highest sensitivity and specificity was determined to be 102.07, corresponding to the Youden index point of 0.980. Alternatively, a threshold value of twice the negative background value (here, 49.95 × 2 = 99.90) is usually used as the cut-off value in immunoassays. For convenience, we chose a T/C cut-off value of 100.00.
HC-FIA assay development
Optimization of DNA probes for the target RNA sequence of SARS-CoV-2 is key to improving assay efficiency. A list of all of the DNA probe sequences that we designed is provided in Supplementary Table 1. The genome of SARS-CoV-2 comprises approximately 30,000 bases, including a variable number (6–11) of open reading frames (ORFs). The first ORF accounts for about 67% of the entire genome, and encodes 16 non-structural proteins as well as helper proteins and structural proteins. The four main structural proteins are the spike glycoprotein (S), the small envelope protein (E), the matrix protein (M) and the nucleocapsid protein (N)15,16. Most nucleic acid detection assays for SARS-CoV-2 use the following three conserved regions in the viral genome: ORF1ab, in which the RNA-dependent polymerase gene (rdrp) is located15, and the regions that encode N and E.
We began by retrieving the RNA genome sequence of SARS-CoV-2 from the National Center for Biotechnology Information (NCBI) GenBank (accession numbers, MN908947, MN908947.3, MN908947.2 and NC_045512.1). A detailed analysis of other published sequences for the SARS-CoV-2 genome revealed no notable variation in these regions. With the help of the design software Primer Premier 5.0, we designed three probes for each of the three regions: CoV01 and CoV04, located in the recommended region for the detection of ORF1ab and N, respectively; and CoV08, in the same region as E17. The genome positions of the probe binding sites in the reference genome sequence (NC_045512.2) are indicated in Fig. 1f.
Sequence alignment was conducted between the designed DNA probes and sequences from the human genome and from the genomes of viruses, bacteria, mycoplasma, chlamydia and other common pathogens. The probes matched the SARS-CoV-2 genomic sequence only, and we found no homology to human genomic DNA. Pseudoviruses carrying different regions of the target gene constructed using lentiviruses as vectors were used as positive controls. The target gene sequences of the pseudoviruses used are shown in Supplementary Table 2. P1 was positive for the SARS-CoV-2 N region, P2 for the SARS-CoV-2 E region and P3 for the SARS-CoV-2 ORF1ab region. The concentration of the three positive controls was 3,000 transduction units (TU) ml−1, indicating that there were 3,000 infectious virus particles per ml. Physiological saline, purified water and pharyngeal swab samples positive for other common pathogens were used as negative controls of N1–N17. A list of information about the positive and negative references used in the study is provided in Supplementary Table 3. The test results are shown in Supplementary Tables 4–6. For the ORF1ab region, the probes CoV01 and CoV03 were selected; for the E region, the probe CoV08 was selected; and for the N region, the probes CoV04 and CoV06 preferentially bound to the target RNA. The selected DNA probes were further optimized by combination (Supplementary Table 7), with each group of probes simultaneously targeting all three segments. The HC-FIA test results in Supplementary Table 8 show that the combination of the Cov01, Cov04 and Cov08 probes (group 2) discriminated between all of the positive control samples and the negative controls, and detected positive samples with a low viral titre (1,000 TU ml−1; Supplementary Table 3, L1–L3) at a positive rate of higher than 95%. Group 2 was therefore selected as the final combination. To date, there are 13,411 SARS-CoV-2 nucleotide sequences published on NCBI. Alignment of the three probes with the corresponding target region in the 13,411 uploaded sequences revealed that the target regions of the probes were conserved enough to yield 100% similarity.
We also optimized the testing conditions of the assay, in particular the incubation time for hybridization and the readout time of the test strip. The assay performance for incubation times of 10 min, 20 min, 30 min, 40 min, 50 min and 60 min at 56 °C is shown in Supplementary Table 9. Note that 20 min was enough for the DNA probes to hybridize with the target region, which was reflected by the 100% positive rate in detecting positive throat swab and sputum samples with low viral titre (1,000 TU ml−1; Supplementary Table 3, L1–L3). When the incubation time was extended to 50 or 60 min, the reaction was not as stable, as the positive rate of the L1–L3 reference samples decreased. Taking into consideration the detection efficiency and the requirement for virus inactivation, we selected 30 min as the incubation time for hybridization at 56 °C. We also assessed the reading time of the strip for the values 10 min, 12 min, 15 min and 18 min (Supplementary Table 10). The results indicated that 12 min or longer led to the correct detection of the positive and negative reference samples. However, the coefficient of variation (CV) was lower than 10% for detecting positive samples with a low viral titre only when using a reading time of 15 min. We therefore selected a reading time of 15 min.
Guanidinium thiocyanate and guanidine chloride—the most-used protein denaturants for nucleic acid extraction—were compared as transport media for sample preservation. Guanidinium thiocyanate led to better performance at discriminating between positive and negative samples, with a relatively low CV for samples with a low viral titre. In fact, guanidinium thiocyanate at a concentration as high as 6 mol l−1 has shown excellent antiviral properties18. We selected guanidinium thiocyanate at a concentration of 5 mol l−1 as the protein denaturant for viral inactivation in transport medium.
Specificity of the HC-FIA assay
After optimizing the probe sequences and reaction conditions, we examined the specificity of the HC-FIA assay for detecting SARS-CoV-2. The positive controls included pseudoviruses (samples P1–P3) with target genes, and five clinical throat swab samples (samples P4–P8), confirmed using a RT–qPCR-based nucleic acid detection kit (Shanghai ZJ Bio-Tech). The negative controls, which consisted of throat swab samples, were confirmed to be negative for SARS-CoV-2, and positive for influenza A, influenza B, respiratory syncytial virus, chlamydia pneumoniae, adenovirus or other pathogens (samples N5–N17), or pseudovirus-positive for the N region of MERS (sample N18) or SARS (sample N19). A list of all of the samples is provided in Supplementary Table 3. A list of the detection results of 8 positive reference samples and 15 negative reference samples is provided in Supplementary Table 11.
We investigated whether there was cross-reactivity between SARS-CoV-2 and 55 common pathogens that cause respiratory diseases. The source and quantitative information of each pathogenic microorganism is provided in Supplementary Dataset 1. The original virus titre was determined to be 106 plaque-forming units per ml using a plaque assay. For interference samples of bacteria, mycoplasma and chlamydia, the concentration level was 107 colony-forming units per ml. Furthermore, human genomic DNA was extracted and quantified to be 90–105 µg ml−1 from three whole-blood samples. The HC-FIA assay exhibited excellent specificity for SARS-CoV-2, with no obvious cross-reactivity with all of the other pathogen samples and human genomic DNA (Supplementary Dataset 1).
As the monoclonal antibody S9.6 also binds to RNA–RNA duplexes19, especially AU-rich ones20, we designed double-stranded RNA sequences with varying fractions of AU. Detailed sequence information is provided in Supplementary Table 12. As shown in Supplementary Table 13, regardless of AU content, the HC-FIA assay did not exhibit a detectable positive signal towards double-stranded RNA, which indicates that there is a low binding affinity between the S9.6 antibody and double-stranded RNA under the assay conditions. We also investigated whether the presence of double-stranded RNA affects the performance of the assay in the detection of clinical throat swab or sputum samples. We used 2 positive throat swab samples, 2 positive sputum samples, 10 negative throat swab samples and 5 negative sputum samples. We measured the T/C ratios with regard to the T/C values of the interference-free test, and found that the ratios ranged between 0.9 and 1.1 (Supplementary Dataset 1). This indicates that the presence of double-stranded RNA, regardless of AU content, does not significantly affect the performance of the HC-FIA assay.
Sensitivity and precision of the HC-FIA assay
We serially diluted the pseudovirus samples containing three sections of target genes to titres of 5,000, 2,500, 1,000, 800, 500, 250 and 100 TU ml−1, and calculated the average T/C values for 20 parallel tests. Figure 2a shows that the limit of detection (LOD) values of pseudovirus positive for the N, E or ORF1ab regions of SARS-CoV-2 were as low as 1,000 TU ml−1, with a positive rate larger than 95%. When the titres of pseudovirus samples reached 108 TU ml−1, no notable hook effect was observed (Supplementary Fig. 2). The linear range of the assay corresponds to titres between 103 and 106 or 107 TU ml−1.
Throat swab samples from three critically ill patients—who were determined to be positive for SARS-CoV-2 using RT–qPCR, and the viral loads were quantified using digital PCR—were mixed with negative throat swab samples to prepare serial dilutions of 2,000, 1,000, 500, 400 and 250 copies per ml. As shown in Fig. 2b, the LOD was 500 copies per ml with a positive rate of higher than 95%. Clinical throat swab samples with T/C values close to the critical value (100) for positivity (samples with 512, 489 and 497 copies per ml of the ORF1ab region, according to digital PCR) were used to verify the LOD (tests performed 20 times in parallel). The positive rates of these samples were higher than 95% (Supplementary Tables 14–16).
To evaluate the precision of the HC-FIA kit, parallel tests were performed 20 times for each clinical throat swab sample for five consecutive days. The representative clinical samples chosen were a positive sample (1,348 copies per ml of the ORF1ab region), a sample from a critically ill individual (critical; 512 copies per ml) and a negative sample (0 copies per ml). The average T/C values of the three batches in detecting the positive sample were as follows: 199.92 ± 8.25 (CV = 4.13%), 200.68 ± 7.91 (CV = 3.94%) and 199.03 ± 7.43 (CV = 3.73%), respectively, compared with 109.17 ± 5.68 (CV = 4.65%), 110.80 ± 5.63 (CV = 5.08%) and 111.48 ± 4.67 (CV = 4.19%) for the critical sample, and with 44.66 ± 3.36 (CV = 7.52%), 43.99 ± 2.72 (CV = 6.18%) and 44.72 ± 2.98 (CV = 6.66%) for the negative sample. The batch-to-batch CV values were 3.89%, 4.66% and 6.74%. Thus, the assay showed good precision and reproducibility for the detection of SARS-CoV-2.
Robustness of the HC-FIA assay
To learn about the robustness of HC-FIA, we evaluated the effects of endogenous interference substances (such as haemoglobin and mucin) and of exogenous interference substances (in particular, clinical drugs commonly used in the treatment of patients with respiratory infections, including antiviral drugs, antibiotics and hormones). For this experiment, we used 18 clinical throat swab samples, including six critical samples (500–530 copies per ml for the ORF1ab region, according to digital PCR), six negative samples and six positive samples. The results were also recorded as the ratio of T/C values (interference samples versus control samples). In the prepared interference samples, haemoglobin concentrations were 0.5 g l−1, 1.0 g l−1 and 2.0 g l−1, and the concentrations for mucin were 5 g l−1, 10 g l−1 and 20 g l−1. The drug concentrations of exogenous interference samples (Supplementary Tables 17–19) were much higher than their peak plasma concentrations in vivo. As expected, all of the T/C ratios were in the range of 0.9–1.1 (Supplementary Dataset 2), indicating that the HC-FIA assay is robust to interference.
Clinical evaluation of the HC-FIA test kit
To further evaluate the performance of HC-FIA assay, a randomized double-blind clinical trial was performed by comparing the assay with RT–qPCR (SARS-CoV-2-detection kit produced by Shanghai ZJ Bio-Tech, and approved by NMPA) or with clinical diagnosis results in three independent medical institutions. The HC-FIA test kit used in the clinical evaluation contained test cards, lysis buffer, sample-preservation solution, positive and negative controls, and a reaction tube with DNA probes and labelled antibodies. The clinical diagnosis results of confirmed or excluded COVID-19 cases, which were provided by the designated hospitals, were based on computed tomography images and on the clinical manifestations of the patients, as specified by the guidelines of ‘Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (Trial Version 6.0)’ of China. A total of 734 samples (593 throat swabs and 141 sputum) provided by 670 individuals were tested in parallel. The raw data from the clinical trials are provided as Supplementary Dataset 3. The RT–qPCR detection kit that we used was designed as a three-target (ORF, N and E) system, and we followed the test–retest principle to discriminate between positive and negative samples. In addition to four failure tests caused by an invalid internal standard, eight retests were conducted: one because only one target rdrp gene was positive, and seven because only the N and E genes were positive. In these cases, the previous negative results were excluded.
Of the 670 patients enrolled in the trial, 313 were male (46.72%) and 357 were female (53.28%). As shown in Supplementary Fig. 3, the age distribution of the enrolled population is similar to the age distribution of SARS-CoV-2 infection21. The visiting rate and diagnosis rate were also balanced. The results from the HC-FIA test kits are shown in Fig. 3, which shows photographs of typical results under a fluorescent light source and the corresponding gradient colour matrix after readout normalization. The gradient colour matrix in Supplementary Fig. 4 shows the normalized fluorescence readouts of 734 clinical samples (Supplementary Dataset 3).
For 621 cases, the HC-FIA results and the clinical diagnoses were consistent (210 confirmed cases and 411 excluded cases; Table 1); 49 cases (27 confirmed and 22 excluded by clinical diagnosis) were inconsistent with the HC-FIA results. For 730 samples, the results from the HC-FIA test were consistent with RT–qPCR (249 positive and 481 negative; Table 1). Four samples that were negative on the basis of RT–qPCR were positive using HC-FIA. Three of these samples were from patients who were clinically diagnosed as COVID-19-excluded, indicating that the HC-FIA test had given false-positive results. The remaining sample corresponded to a confirmed case by clinical diagnosis, in agreement with the HC-FIA test.
Cohen’s Kappa (κ), which is a frequently used metric of the reliability of agreement between categorical variables, is a more robust measure compared with simple percentage agreement between the variables, as κ takes into account agreements that occur by chance, especially in imbalanced datasets. We considered a κ value of greater than 0.75 to indicate a high level of agreement (perfect agreement corresponds to a κ = 1). As shown in Table 2, the results from the HC-FIA test were in high agreement with clinical diagnosis (κ = 0.8393) and with RT–qPCR (κ > 0.98, regardless of sample type).
The HC-FIA assay has the potential to become a simpler alternative to RT–qPCR in the detection of SARS-CoV-2. The monoclonal antibody S9.6, which specifically recognizes DNA–RNA double-stranded hybrids, enables the use of immunofluorescence for the detection of nucleic acids. Reading the T/C ratio of fluorescence values, rather than the absolute fluorescence values of the T line and the C line, improves the precision and reproducibility of the assay. We used a fluorescent reader and FNPs (instead of optical readouts using colloidal gold-based test strips) for more accurate quantitative analyses.
Long DNA probes ensured high sensitivity and specificity
When designing the DNA probe, we followed the general principles of PCR, such as a random distribution of bases, the generation of no secondary structures and no repeated DNA sequences. We used probes with a length of 40–120 bp (118, 99 and 89 bp for the CoV01, CoV04 and CoV08 probes, respectively); these are much longer than general PCR primers and TaqMan probes. This is due to the fact that long probes facilitate the formation of longer hybrids, thereby increasing the sensitivity of recognition by S9.6 (ref. 3). Despite the absence of nucleic acid amplification, the LOD of HC-FIA (500 copies per ml) is comparable to that of commercial RT–qPCR technology (200–1,000 copies per ml)22. The affinity of the S9.6 for DNA–RNA hybrids, the molar ratio of the monoclonal antibody to the hybrid and the efficiency of signal amplification are of critical importance for determining the sensitivity of the HC-FIA assay. The molar ratio of S9.6 to the RNA–DNA hybrid was documented to be 11–13 under certain conditions, suggesting that a hybrid can bind to more than a dozen antibodies, leading to signal amplification3. Moreover, the simultaneous three-DNA-probe system allows for more binding sites to be amplified. The HC-FIA assay appears to be more sensitive in detecting clinical samples than pseudoviruses (a LOD of 500 copies per ml for clinical throat swab samples, and a LOD of 1,000 TU ml−1 for pseudoviruses); however, we used three target genes for the clinical samples, and only a single target region for the pseudoviruses. Importantly, the ultralong probes in the HC-FIA assay completely match the conserved region of the target genes, ensuring the specificity of the assay (shorter primers and probes in RT–qPCR can cross-react with other coronaviruses, especially for the probes targeting the N and E genes). We confirmed the absence of any significant cross-reactivity between the long DNA probes and the RNA of other coronaviruses, such as SARS-CoV, MERS-CoV, coronavirus 229E and coronavirus OC43 (Supplementary Dataset 1). Thus, the assay is highly specific for SARS-CoV-2.
Further evidence of low or undetectable cross-reactivity is provided by the negative result of detecting rotavirus A (from ATCC, VR-2018), the genome of which consists of 11 segments of double-stranded RNA (Supplementary Dataset 1). As it has been shown using surface plasma resonance that the single-chain variable fragment of S9.6 has a binding affinity that is about 5× lower for AU-rich RNA–RNA hybrids compared with DNA–RNA hybrids (for 23 bp hybrids), the high selectivity of the HC-FIA assay may be explained either by the high ionic conditions in the hybridization system (owing to the high salt preservation solution)19 or by the relative long DNA probes3, which may magnify variations in the binding affinity between AU-rich double-stranded RNA and DNA–RNA hybrids.
As saliva and sputum are mostly mucus, antibodies, lysozyme, inorganic salt and other protein or cell components (besides pathogenic microorganisms), we chose mucin—the major component of saliva—as a typical endogenous interference substance (besides haemoglobin) that could affect the robustness of the HC-FIA assay. We also evaluated drugs that are commonly used for respiratory diseases (which can make it into clinical samples). The design of the ultralong probes ensured that the assay has the ability to distinguish between SARS-CoV-2 and other infectious diseases and the presence of comorbidities. We attribute the robustness of the assay to the high affinity of the monoclonal antibody S9.6 to DNA–RNA hybrids, and to the optimized assay conditions.
Advantages of the HC-FIA assay
The HC-FIA assay does not need nucleic acid extraction, reverse transcription or nucleic acid amplification. The entire detection process involves only the following two steps: nucleic acid hybridization and immunofluorescence analysis (Fig. 1e and Supplementary Table 20). SARS-CoV-2 can be inactivated by incubation at 56 °C for 30 min, and the absence of nucleic acid amplification means that the assay does not suffer from contamination by amplicons. As shown in Supplementary Table 20, the materials needed for each test cost as little as US$2. The portable device for reading the fluorescence signal can meet the demands of point-of-care technology. A list of the advantages of HC-FIA over RT–qPCR is shown in Table 3.
CRISPR-based assays on the basis of Cas13 or Cas12 endonucleases have also been developed using lateral flow technology23,24,25,26,27. However, these assays require nucleic acid extraction and recombinase polymerase amplification or loop-mediated isothermal amplification. Assay times of CRISPR-based diagnostics and HC-FIA for the detection of SARS-CoV-2 are similar, yet the LOD values of the CRISPR-based diagnostics are higher (in the order of 104–105 copies per ml for SARS-CoV-2 (refs. 23,27) and 1,000 copies per ml for the detection of the Zika virus and the dengue virus25).
In summary, we present an amplification-free, inexpensive and rapid SARS-CoV-2 nucleic acid detection system that is amenable for point-of-care use. The assay—which involves detection reagents, an immunofluorescence lateral flow strip and a fluorescence-analysis device—is based on the capture of RNA–DNA hybrids and on immunofluorescence analysis. The assay and test kit could be adapted for the detection of other viral RNA.
The monoclonal antibody S9.6 (MABE1095, 3275033) used in the work was purchased from EMD Millipore. It was purified with protein G and was stored in buffer containing 0.1 M Tris-glycine (pH 7.4), 0.15 M NaCl with 0.05% sodium azide at 2–8 °C. Rabbit IgG (molecular mass, 150 kDa; AGRIG-0100, 021428216) and goat anti-rabbit IgG (molecular mass, 150 kDa; ABGAR-0500, 011530057) were purchased from Arista Biologicals and stored in pH 7.4 PBS at 2–8 °C; the former was purified by protein A from normal rabbit serum (purity ≥ 90%), while the latter was purified from whole goat antisera using immunoaffinity chromatography (purity ≥ 90%).
DNA probes and reagents
The DNA probes were synthesized by Bioligo and purified using high-performance liquid chromatography (purity ≥ 95%). N-(3-dimethylaminopropyl)-N-ethylcarbodiimide hydrochloride (EDC, 25953-53-8), haemoglobin (9008-02-0) and mucin (114956-81-9) were purchased from Sigma-Aldrich. FNPs composed of europium chelate (diameter, 210 nm) with a carboxylated surface were produced by Nanjing Microdetection Bio-Tech (MD20190831-1). Exogenous interference substances, namely drugs that might be used in treating patients with respiratory infections, are commercially available.
The pseudoviruses, used as positive or negative references in the study, were provided by Sangon Biotech. The lentiviral vector system consisted of three plasmids of serial lentiviral vector (carrying target gene), psPAX2 vector and pMD2G vector according to the previously described method28,29. pLV-CMV-MCS-EF-ZsGreen encoding the target sequence and ZsGreen was constructed by the provider. psPAX2 and pMD2G were obtained from Addgene. Pseudovirions were produced by cotransfection of HEK293T cells with psPAX2, pMD2.G and pLV-CMV-MCS-EF-ZsGreen encoding the target sequence using calcium phosphate. Target RNA was transcribed, and the proteins were translated from psPAX2 and pMD2G. The RNA and protein were then packaged as lentiviruses. A list of information about the target gene sequences carried by pseudoviruses is provided in Supplementary Table 2. The titre of the obtained pseudovirus particles was determined by counting infected cells using fluorescence microscopy after serial dilution.
The source and quantitative information of the various pathogenic microorganisms used to determine the specificity of the assay are provided in Supplementary Dataset 1.
Labelling antibodies with FNPs
FNPs (1%) dispersed in deionized water (1.0 mg ml−1) and EDC solution of 0.6 mg ml−1 were added to 0.05 mol l−1 boracic buffer (pH 8.0) on a rotary mixer for 20 min. The FNPs were separated by centrifugation at 15,000–16,000 r.p.m. for 30 min and resuspended in 0.05 mol l−1 boracic acid buffer. The antibody solution at a final concentration of 0.2 mg ml−1 was then added to the activated FNP solution, and the reaction system was placed onto a rotary mixer for 2 h. BSA solution (0.1 ml, 10%) was added to 1.0 ml FNP-labelled antibody solution for blocking, and the mixture was placed into a rotary mixer for 12–16 h. Finally, the FNP-labelled antibody solution was separated using centrifugation at 15,000–16,000 r.p.m. and washed twice with an equal volume of 0.05 mol l−1 boracic acid buffer, and the as-prepared mixture was resuspended in the washing buffer to obtain FNP-labelled antibody solution.
Fluorescence analysis device
The supporting fluorescence analysis device (registration certificate, 20172400062) was made by Anbio (Xiamen) Biotechnology and is commercially available. It consists of a light-source system, a photoelectric detection system, a signal-amplifier circuit, a thermal printer and a touch screen. It has a length of 22 cm, width of 23.6 cm and a depth of 9 cm, with a weight of approximately 3 kg.
HC-FIA test-kit workflow
The HC-FIA test kit was produced by Anbio (Xiamen) Biotechnology. The workflow complied strictly with the product manual. A list of the operation procedure, approximate cost of the materials needed and duration of the HC-FIA assay is provided in Supplementary Table 16. First, all of the reagents and specimens were prepared and equilibrated to room temperature before use. Reaction tubes were prepared according to sample quantity. Lysis buffer (85 µl) was added to each tube before the tube was shaken to mix the contents for the next step. We added 20 µl positive control, negative control or sample to the reaction tube. The control and sample tubes were then reversed three times and incubated at 56 °C in an incubator for 30 min. Next, 100 µl of the incubated sample was added to the test card sample well and left to rest for 15 min. The test card was inserted into the fluorescence analysis device, then the start button was pressed and the result was printed out. For quality control, a mixture of the three pseudoviruses (P1, P2 and P3 at a concentration of 2,000 TU ml−1, carrying their target region of ORF1ab, N and E) was used as a positive control sample to ensure proper sample extraction and S9.6 binding, while physiological saline was used as a negative control. Before each new run of a test, the positive and negative controls should deliver an expected result to ensure the validity of the test result. If the control line was invalid, the analyser would display the text ‘Error’, indicating that the result of the test was invalid.
Clinical trial participants
The randomized double-blind clinical evaluation of HC-FIA SARS-CoV-2 kits was performed independently in three designated hospitals that were treating patients with COVID-19. This clinical trial was approved by the ethics committees for drug clinical trials of the three hospitals. The study was registered at http://www.chictr.org as ChiCTR2000033104, and was conducted by trained healthcare workers from the clinical institutions and our research team. As the samples used in the current trials were remnants after clinical nucleic acid detection, and double-blinded experimental design ensured the safety of patient privacy, waivers of the patients’ informed consent were approved by the ethics committee. The case enrolment criteria referred to the guidelines of ‘Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (Trial Version 6.0)’ of China.
The HC-FIA SARS-CoV-2 kit was provided by Anbio (Xiamen) Biotechnology. The RT–qPCR detection kit for contrast research was produced by Shanghai ZJ Bio-Tech and used with an ABI 7500 Real-Time PCR System. First, the clinical information of the enrolled cases was collected, including the case number (ID number), age, gender, clinical diagnosis and sample collection time. The enrolled samples were randomly numbered using a random number generation tool before being arranged for testing in a random order. For both HC-FIA and RT–qPCR, detection was repeated if the positive or negative control sample did not deliver the expected result. As for RT–qPCR, retests were conducted and the previous result was eliminated if only one channel or two channels (N and E) tested positive. If the retesting result corresponding to the rdrp gene remained positive, it was considered to be positive. By contrast, if only the channel associated with the N gene or/and the E gene was positive, the result might have been due to other coronaviruses and was regarded as negative. A total of 734 samples from 670 individuals were evaluated in parallel, including 593 throat swab samples and 141 sputum samples. The related clinical diagnosis results were provided by the hospitals according to the results of computed tomography images and the clinical manifestations of the patients.
ROC curves and AUC values were used to determine the cut-off value and assess diagnostic accuracy of the HC-FIA assay using SPSS v.19.0 software. For the consistency analysis between the HC-FIA and RT–qPCR or clinical diagnosis, Cohen’s κ statistic was used in the comparison. A κ coefficient of less than 0.40 would suggest that the two methods are mutually inconsistent; a κ coefficient ranging from 0.40 to 0.75 indicates moderate agreement; and a κ coefficient of greater than 0.75 indicates high consistency. Two-tailed Mann–Whitney U-tests were performed to examine the significance of using the κ coefficient. Results are presented as mean ± s.d.
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
The main data supporting the results in this study are available within the paper and its Supplementary Information. All data generated in this study, including source data and the data used to generate the figures, are available at Figshare (https://doi.org/10.6084/m9.figshare.13102895)30.
Chen, L. et al. RNA based mNGS approach identifies a novel human coronavirus from two individual pneumonia cases in 2019 Wuhan outbreak. Emerg. Microbes Infect. 9, 313–319 (2020).
Qiu, J. Covert coronavirus infections could be seeding new outbreaks. Nature https://doi.org/10.1038/d41586-020-00822-x (2020).
Boguslawski, S. J. et al. Characterization of monoclonal antibody to DNA • RNA and its application to immunodetection of hybrids. J. Immunol. Methods 89, 123–130 (1986).
Yan, Q., Shields, E. J., Bonasio, R. & Sarma, K. Mapping native R-Loops genome-wide using a targeted nuclease approach. Cell Rep. 29, 1369–1380 (2019).
Paull, T. T. RNA-DNA hybrids and the convergence with DNA repair. Crit. Rev. Biochem. Mol. 54, 371–384 (2019).
Toubiana, S. & Selig, S. DNA:RNA hybrids at telomeres—when it is better to be out of the (R) loop. FEBS J. 285, 2552–2566 (2018).
Ding, S. et al. Establishment of immunoassay for detecting HPV16 E6 and E7 RNA. Sci. Rep. 5, 13686 (2006).
Poljak, M. & Kocjan, B. J. Commercially available assays for multiplex detection of alpha human papillomaviruses. Expert Rev. Anti Infect. Ther. 8, 1139–1162 (2010).
Hu, Z., Zhang, A. & Storz, G. An antibody-based microarray assay for small RNA detection. Nucleic Acid Res. 34, e52 (2006).
Sipova, H. et al. Surface plasmon resonance biosensor for rapid label-free detection of microribonucleic acid at subfemtomole level. Anal. Chem. 82, 10110–10115 (2010).
Qavi, A. J., Kindt, J. T., Gleeson, M. A. & Bailey, R. C. Anti-DNA:RNA antibodies and silicon photonic microring resonators: increased sensitivity for multiplexed microRNA detection. Anal. Chem. 83, 5949–5956 (2011).
Tran, H. V., Piro, B., Reisberg, S., Duc, H. T. & Pham, M. C. Antibodies directed to RNA/DNA hybrids: an electrochemical immunosensor for microRNAs detection using graphene-composite electrodes. Anal. Chem. 85, 8469–8474 (2013).
Sguassero, A. et al. A simple and universal enzyme-free approach for the detection of multiple microRNAs using a single nanostructured enhancer of surface plasmon resonance imaging. Anal. Bioanal. Chem. 411, 1873–1884 (2019).
Wang, D. et al. Nucleic acid hybrid capture immunofluorescence detection method, immunofluorescence chromatography test strip and kit. Patent CN201811515744.1 (2018).
Lu, R. et al. Genomic characterization and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet 395, 565–574 (2020).
Chan, J. F. et al. Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with a typical pneumonia after visiting Wuhan. Emerg. Microbes Infect. 9, 221–236 (2020).
Corman, V. M. et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill. 25, https://doi.org/10.2807/1560-7917.ES.2020.25.3.2000045 (2020).
Roberts, P. L. & Lloyd, D. Virus inactivation by protein denaturants used in affinity chromatography. Biologicals 35, 343–347 (2007).
Kinney, J. S., Viscidi, R. P., Vonderfecht, S. L., Eiden, J. J. & Yolken, R. H. Monoclonal antibody assay for detection of double-stranded RNA and application for detection of group A and non-group A rotaviruses. J. Clin. Microbiol. 27, 6–12 (1989).
Phillips, D. D. et al. The sub-nanomolar binding of DNA-RNA hybrids by the single chain Fv fragment of antibody S9.6. J. Mol. Recognit. 26, 376–381 (2013).
Zhao, J. et al. Relationship between the ABO blood group and the COVID-19 susceptibility. Clin. Infect. Dis. https://doi.org/10.1093/cid/ciaa1150 (2020).
Wang, X. D., Shi, J., Ding, W. F., Jv, S. Q. & Zhao, J. H. Research state and application of new 2019 novel coronavirus nucleic acid detection. Chin. J. Clin. Lab. Sci. 38, 81–84 (2020).
Abudayyeh, O., Gootenberg, J. & Zhang, F. Enabling Coronavirus Detection Using CRISPR-Cas13: An Open-Access SHERLOCK Research Protocol (2020); https://mcgovern.mit.edu/2020/02/14/enabling-coronavirus-detection-using-crispr-cas13-an-open-access-sherlock-research-protocol/
Myhrvold, C., Freije, C. A. & Gootenberg, J. S. Field-deployable viral diagnostics using CRISPR-Cas13. Science 360, 444–448 (2018).
Freije, C. A. et al. Programmable inhibition and detection of RNA viruses using Cas13. Mol. Cell 76, 826–837 (2019).
Kellner, M. J., Koob, J. G., Gootenberg, J. S., Abudayyeh, O. O. & Zhang, F. SHERLOCK: nucleic acid detection with CRISPR nucleases. Nat. Protoc. 14, 2986–3012 (2019).
Broughton., J. P. et al. CRISPR–Cas12-based detection of SARS-CoV-2. Nat. Biotechnol. https://doi.org/10.1038/s41587-020-0513-4 (2020).
Naldini, L., Blomer, U., Gage, F. H., Trono, D. & Verma, I. M. Efficient transfer, integration, and sustained long-term expression of the transgene in adult rat brains injected with a lentiviral vector. Proc. Natl Acad. Sci. USA 93, 11382–11388 (1996).
Yang, Z. Y. et al. Evasion of antibody neutralization in emerging severe acute respiratory syndrome coronaviruses. Proc. Natl Acad. Sci. USA 102, 797–801 (2005).
Wang, D. et al. Dataset for Rapid lateral flow immunoassay for the fluorescence detection of SARS-CoV-2 RNA. Figshare https://doi.org/10.6084/m9.figshare.13102895 (2020).
Xie, C., Wu, H., Ma, X. & Zhou, G. New molecular diagnostic technologies for clinical detection of SARS-CoV-2. Hereditas 42, 870–881 (2020).
We thank J. Wang for help in plotting the graphs. The work was funded by a National Key Research and Development Project (no. 2020YFC0847100).
D.W., X.H. and L.Z. have submitted a patent application that is related to this work (application number, CN201811515744.1). The other authors declare no competing interests.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary figures and tables.
Supplementary Dataset 1
Performance of the HC-FIA assay.
Supplementary Dataset 2
Robustness of the HC-FIA assay in the presence of endogenous or exogenous interference.
Supplementary Dataset 3
Raw data for the clinical evaluation of the HC-FIA test kit.
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Wang, D., He, S., Wang, X. et al. Rapid lateral flow immunoassay for the fluorescence detection of SARS-CoV-2 RNA. Nat Biomed Eng 4, 1150–1158 (2020). https://doi.org/10.1038/s41551-020-00655-z
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