Evaluation of an E. coli-expressed spike protein-based in-house ELISA system for assessment of antibody responses after COVID-19 infection and vaccination
Evaluating long-term immunity after COVID-19 infection and vaccination is critical for managing potential outbreaks. The aim of this study was to develop a cost-effective in-house enzyme-linked immunosorbent assay (ELISA) based on <i>Escherichia coli</i>-expressed SARS-CoV-2 spike protein (E-S1) for antibody detection and to evaluate its performance. The system was validated by comparing the in-house ELISA results with those obtained using a commercial ELISA with HEK293-expressed spike protein (H-S1). Recombinant SARS-CoV-2 spike protein was produced in <i>E. coli</i>, purified, and validated for antigenicity via ELISA. Indirect ELISAs with both E-S1 and H-S1 antigens were performed on 386 serum samples from COVID-19 survivors, vaccinated individuals, and pre-pandemic controls collected at different time points. The E-S1 ELISA showed a statistically significant but weak correlation with H-S1 ELISA across all samples (<i>r</i>=0.205; <i>p</i>=0.0001). Stronger correlations were observed among vaccinated individuals with prior infection on day 90 (<i>r</i>=0.6017; <i>p</i><0.001) and in naïve vaccine recipients on day 30 (<i>r</i>=0.5361; <i>p</i>=0.0003). Pre-pandemic sera from a rural population in Sumba Island exhibited high background reactivity in E-S1 ELISA, likely due to anti-<i>E. coli</i> antibodies, while urban pre-pandemic sera from Jakarta showed a stronger correlation with H-S1 ELISA. This suggests potential regional or immune background differences influencing assay performance. Although E-S1 retained antigenic properties, its diagnostic utility is limited by non-specific reactivity and reduced sensitivity compared to H-S1. In conclusion, <i>E. coli</i> expression systems may not be ideal for producing spike protein-based ELISA antigens specific to SARS-CoV-2. Alternative expression systems, such as human or baculovirus, could enhance diagnostic accuracy and specificity for COVID-19 antibody detection.
Authors
- Agussalim Bukhari (ORCID: https://orcid.org/0000-0002-6340-8615)
- Ammar Abdurrahman Hasyim (ORCID: https://orcid.org/0000-0003-2799-1652)
- Sitti Nurisyah (ORCID: https://orcid.org/0000-0003-2285-7286)
- Puji Budi Setia Asih (ORCID: https://orcid.org/0000-0002-4582-9133)
- Mitsuhiro Iyori (ORCID: https://orcid.org/0000-0001-9940-7342)
- Irfan Idris (ORCID: https://orcid.org/0000-0002-7350-8687)
- Shigeto Yoshida (ORCID: https://orcid.org/0000-0001-8018-381X)
- Irawaty Djaharuddin (ORCID: https://orcid.org/0000-0002-5240-4950)
- Din Syafruddin (ORCID: https://orcid.org/0000-0001-7141-2545)
- Yenni Yusuf (ORCID: https://orcid.org/0000-0001-7310-6381)
- Handayani Halik (ORCID: https://orcid.org/0000-0003-1445-9579)
- Khaeriah Amru (ORCID: https://orcid.org/0009-0008-3017-5828)
- Kartika Hardianti Zainal
- Kurumi Nakamura
- Kei Itani
Institutions
- Kanazawa University (JP)
- Kanazawa Medical University (JP)
- Musashino University (JP)
- Universitas Islam Makassar (ID)
- National Research and Innovation Agency (ID)
- State University of Makassar (ID)
- Hasanuddin University (ID)
Publication Details
- Journal
- Narra J
- Published
- 2025-03-13
- DOI
- https://doi.org/10.52225/narra.v5i1.1250
- Citations
- 1
- Primary Topic
- Monoclonal and Polyclonal Antibodies Research
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Universitas Hasanuddin
- Lembaga Penelitian dan Pengabdian Kepada Masyarakat
- Japan Society for the Promotion of Science
- Direktorat Jenderal Pendidikan Tinggi