An indirect ELISA for detecting anti-SARS-CoV-2 antibodies in human sera using a baculovirus-expressed recombinant nucleocapsid antigen.

This study focuses on the development and initial assessment of an indirect IgG enzyme-linked immunosorbent assay (ELISA) specifically designed to detect of anti-SARS-CoV-2 antibodies. The unique aspect of this ELISA method lies in its utilization of a recombinant nucleocapsid (N) antigen, produced through baculovirus expression in insect cells. Our analysis involved 292 RT-qPCR confirmed positive serum samples and 54 pre-pandemic healthy controls. The process encompassed cloning, expression, and purification of the SARS-CoV-2 N gene in insect cells, with the resulted purified protein employed in our ELISA tests. Statistical analysis yielded an Area Under the Curve of 0.979, and the optimized cut-off exhibited 92 % sensitivity and 94 % specificity. These results highlight the ELISA's potential for robust and reliable serological detection of SARS-CoV-2 antibodies. Further assessments, including a larger panel size, reproducibility tests, and application in diverse populations, could enhance its utility as a valuable biotechnological solution for diseases surveillance.

Production of antigens expressed in Nicotiana benthamiana plant and Escherichia coli for the SARS-CoV-2 IgG antibody detection by ELISA.

The recent COVID-19 pandemic disclosed a critical shortage of diagnostic kits worldwide, emphasizing the urgency of utilizing all resources available for the development and production of diagnostic tests. Different heterologous protein expression systems can be employed for antigen production. This study assessed novel SARS-CoV-2 proteins produced by a transient expression system in Nicotiana benthamiana utilizing an infectious clone vector based on pepper ringspot virus (PepRSV). These proteins included the truncated S1-N protein (spike protein N-terminus residues 12-316) and antigen N (nucleocapsid residues 37-402). Two other distinct SARS-CoV-2 antigens expressed in Escherichia coli were evaluated: QCoV9 chimeric antigen protein (spike protein residues 449-711 and nucleocapsid protein residues 160-406) and QCoV7 truncated antigen (nucleocapsid residues 37-402). ELISAs using the four antigens individually and the same panel of samples were performed for the detection of anti-SARS-CoV-2 IgG antibodies. Sensitivity was evaluated using 816 samples from 351 COVID-19 patients hospitalized between 5 and 65 days after symptoms onset; specificity was tested using 195 samples collected before 2018, from domiciliary contacts of leprosy patients. Our findings demonstrated consistent test sensitivity, ranging from 85 % to 88 % with specificity of 97.5 %, regardless of the SARS-CoV2 antigen and the expression system used for production. Our results highlight the potential of plant expression systems as useful alternative platforms to produce recombinant antigens and for the development of diagnostic tests, particularly in resource-constrained settings.

A novel highly specific biotinylated MAC-ELISA for detection of anti-SARS-CoV-2 nucleocapsid antigen IgM antibodies during the acute phase of COVID-19.

The gold standard for diagnosing COVID-19 in the acute phase is RT-qPCR. However, this molecular technique can yield false-negative results when nasopharyngeal swab collection is not conducted during viremia. To mitigate this challenge, the enzyme-linked immunosorbent assay (ELISA) identifies anti-SARS-CoV-2 IgM antibodies in the initial weeks after symptom onset, facilitating early COVID-19 diagnosis. This study introduces a novel and highly specific IgM antibody capture ELISA (MAC-ELISA), which utilizes biotinylated recombinant SARS-CoV-2 nucleocapsid (N) antigen produced in plants. Our biotinylated approach streamlines the procedure by eliminating the requirement for an anti-N-conjugated antibody, circumventing the need for peroxidase-labeled antigens, and preventing cross-reactivity with IgM autoantibodies such as rheumatoid factor. Performance evaluation of the assay involved assessing sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy using 682 RT-qPCR-positive samples, categorized by weeks relative to symptoms onset. Negative controls included 205 pre-pandemic serum samples and 46 serum samples from patients diagnosed with other diseases. Based on a cut-off of 0.087 and ROC curve analysis, the highest sensitivity of 81.2% was observed in the 8-14 days post-symptom (dps) group (2nd week), followed by sensitivities of 73.8% and 68.37% for the 1-7 dps (1st week) and 15-21 dps groups (3rd week), respectively. Specificity was consistently 100% across all groups. This newly developed biotinylated N-MAC-ELISA offers a more streamlined and cost-effective alternative to molecular diagnostics. It enables simultaneous testing of multiple samples and effectively identifies individuals with false-negative results.