Abstract
The quantification of the antibody response to SARS-CoV-2 vaccination is considered relevant for identifying possible vaccine failure and estimating protection time. Various types of vaccines have been produced to suppress the development of SARS-Cov2 from numerous approaches, starting from the use of inactivated whole viruses, genetic material (mRNA), and transmembrane proteins (spike protein-RDB). The strategy to increase herd immunity to SARS-cov2 infection through the vaccination program is estimated to impact health significantly. The presence of post-vaccination antibodies (IgG) needs to be monitored to determine the effectiveness of vaccines that have been immunized on a person, how long the protective power is produced from vaccinations that a person receives so that other vaccination programs can be confirmedly determined to obtain herd immunity and eliminate transmission of COVID-19 nationally. This study aimed to study the polyclonal character of the antibody induced by the specific protein from post-vaccinated patients. In this study, we also determined the highest antibody titer among groups using the ELISA method. According to SDS-PAGE visualization, we found a specific band, a 158 kDa, found explicitly in post-vaccine groups only. This protein will be selected as a protein antigen to produce rabbit polyclonal antibodies for further study. Based on the results of the polyclonal antibody production, it can be concluded that a 158 kDa protein isolate can stimulate a humoral immune response by a polyclonal antibody with the highest antibody titer detected at fifth-week blood collection. The selected polyclonal antibody specificity test was able to identify protein isolates from post-vaccinated patient's serum with a molecular weight of 158 kDa.
| Original language | English |
|---|---|
| Title of host publication | 4th International Conference on Life Science and Technology, ICoLiST 2023 |
| Editors | Ahmad Taufiq, Hendra Susanto, I. Ching Wang, Hadi Nur, Muhammad Aziz, Chuang-Rung Chang, Gereon Elbers, Sri Rahayu Lestari, Markus Diantoro, Nandang Mufti, Chen Siang Ng, Nik Ahmad Nizam Nik Malek, Sunaryono, Yu-Hsin Chiu, Siti Zubaidah, Aulanni'am, Indra Wibowo, Adeodatus Yuda Handaya |
| Publisher | American Institute of Physics Inc. |
| ISBN (Electronic) | 9780735443136 |
| DOIs | |
| Publication status | Published - 24 Jan 2023 |
| Event | 4th International Conference on Life Science and Technology, ICoLiST 2023 - Virtual, Online, Indonesia Duration: 31 Aug 2021 → … |
Publication series
| Name | AIP Conference Proceedings |
|---|---|
| Volume | 2634 |
| ISSN (Print) | 0094-243X |
| ISSN (Electronic) | 1551-7616 |
Conference
| Conference | 4th International Conference on Life Science and Technology, ICoLiST 2023 |
|---|---|
| Country/Territory | Indonesia |
| City | Virtual, Online |
| Period | 31/08/21 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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