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Analysis of IgG Profile Serum from Different SARS-Cov2 Post-Vaccination Periods

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publication4th International Conference on Life Science and Technology, ICoLiST 2023
EditorsAhmad 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
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735443136
DOIs
Publication statusPublished - 24 Jan 2023
Event4th International Conference on Life Science and Technology, ICoLiST 2023 - Virtual, Online, Indonesia
Duration: 31 Aug 2021 → …

Publication series

NameAIP Conference Proceedings
Volume2634
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference4th International Conference on Life Science and Technology, ICoLiST 2023
Country/TerritoryIndonesia
CityVirtual, Online
Period31/08/21 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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