Comparison of Antibody and T Cell Responses Induced by Single Doses of ChAdOx1 nCoV-19 and BNT162b2 Vaccines
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- IMMUNE NETWORK
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- v.21 no.4
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- pp.29.1-29.9
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- 2021
There are limited data directly comparing humoral and T cell responses to the ChAdOx1 nCoV-19 and BNT162b2 vaccines. We compared Ab and T cell responses after first doses of ChAdOx1 nCoV-19 vs. BNT162b2 vaccines. We enrolled healthcare workers who received ChAdOx1 nCoV-19 or BNT162b2 vaccine in Seoul, Korea. Anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) S1 protein-specific IgG Abs (S1-IgG), neutralizing Abs (NT Abs), and SARS-CoV-2-specific T cell response were evaluated before vaccination and at 1-wk intervals for 3 wks after vaccination. A total of 76 persons, comprising 40 injected with the ChAdOx1 vaccine and 36 injected with the BNT162b2 vaccine, participated in this study. At 3 wks after vaccination, the mean levels (±SD) of S1-IgG and NT Abs in the BNT162b2 participants were significantly higher than in the ChAdOx1 participants (S1-IgG, 14.03±7.20 vs. 6.28±8.87, p<0.0001; NT Ab, 183.1±155.6 vs. 116.6±116.2, p=0.035), respectively. However, the mean values of the T cell responses in the 2 groups were comparable after 2 wks. The humoral immune response after the 1st dose of BNT162b2 developed faster and was stronger than after the 1st dose of ChAdOx1. However, the T cell responses to BNT162b2 and ChAdOx1 were similar.
Background : Interleukin-5 (IL-5) is responsible for eosinophilia in allergic diseases. In allergic bronchial asthma, there is a correlation between the extent of eosinophil infiltration in bronchial mucosa and IL-5 concentrations. In addition, IL-2 concentration is elevated in the airways and associated with eosinophilia in symptomatic patients with bronchial asthma. In animal studies, IL-2 can induce eosinophilia by increasing the synthesis of IL-5, however, it is still unknown how IL-2 can induce eosinophila in human being. The aim of this study is to evaluation the effect and mechanism of IL-2 on prolongation of eosinophil survival. Methods : After purifiing the eosinophils from the venous blood of allergic patients with eosinophilia, we measured the survival rates of eosinophils using trypan blue dye exclusion test, and the number of eosinophils with Randolp's solution. We compared the survival rates of eosinophils in the presence of IL-2 or IL-5. Neutralizing antibody for IL-5 was added in IL-2 treated eosinophils to reveal whether IL-2 induced prolongation of eosinophil survival was mediated by IL-5. We checked IL-5 m-RNA expression of lymphocytes in the presence of IL-2 by using Reverse transcription-Polymerase chain reaction (RT-PCR) method to revealed the effect of IL-2 on IL-5 m-RNA expression on lymphocyte.
From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (