Background: In order to determine the immunogenicity of a single dose of the AZD1222/Covishield vaccine in a real-world situation, we assessed the immunogenicity, in a large cohort of health care workers in Sri Lanka. Methods: SARS-CoV-2 antibodies was carried out in 607 naive and 26 previously infected health care workers (HCWs) 28 to 32 days following a single dose of the vaccine. Haemagglutination test (HAT) for antibodies to the receptor binding domain (RBD) of the wild type virus, B.1.1.7, B.1.351 and the surrogate neutralization assay (sVNT) was carried out in 69 naive and 26 previously infected individuals. Spike protein (pools S1 and S2) specific T cell responses were measured by ex vivo ELISpot IFNg; assays in 76 individuals. Results: 92.9% of previously naive HCWs seroconverted to a single dose of the vaccine, irrespective of age and gender; and ACE2 blocking antibodies were detected in 67/69 (97.1%) previously naive vaccine recipients. Although high levels of antibodies were found to the RBD of the wild type virus, the titres for B.1.1.7 and B.1.351 were lower in previously naive HCWs. Ex vivo T cell responses were observed to S1 in 63.9% HCWs and S2 in 31.9%. The ACE2 blocking titres measured by the sVNT significantly increased (p<0.0001) from a median of 54.1 to 97.9 % of inhibition, in previously infected HCWs and antibodies to the RBD for the variants B.1.1.7 and B.1.351 also significantly increased. Discussion: a single dose of the AZD1222/Covishield vaccine was shown to be highly immunogenic in previously naive individuals inducing antibody levels greater than following natural infection. In infected individuals, a single dose induced very high levels of ACE2 blocking antibodies and antibodies to RBDs of SARS-CoV-2 variants of concern.
As there are limited data of the immunogenicity of the Sinopharm/BBIBP-CorV in different populations, antibody responses against different SARS-CoV-2 variants of concern and T cell responses, we investigated the immunogenicity of the vaccine, in individuals in Sri Lanka. SARS-CoV-2-specific antibodies were mea-
Due to limited access to vaccines, many countries have only administered a single dose of the AZD1222, whereas the dosage intervals have increased ≥4 wk. We sought to investigate the immunogenicity of a single dose of vaccine at ≥16 wk postimmunization. Severe acute respiratory syndrome coronavirus 2–specific Abs in 553 individuals and Abs to the receptor-binding domain of the Wuhan virus (wild-type) and the variants of concern, angiotensin-converting enzyme 2 receptor blocking Abs ex vivo and cultured IFN-γ T cell (Homo sapiens) responses and B cell (H. sapiens) ELISPOT responses, were investigated in a subcohort. The seropositivity rates in those >70 y of age (93.7%) was not significantly different compared with other age groups (97.7–98.2; Pearson χ2 = 7.8; p = 0.05). The Ab titers (Ab index) significantly declined (p < 0.0001) with increase in age. A total of 18 of 69 (26.1%) of individuals did not have angiotensin-converting enzyme 2 receptor–blocking Abs, whereas responses to the receptor-binding domain of wild-type (p = 0.03), B.1.1.7 (p = 0.04), and B.1.617.2 (p = 0.02) were significantly lower in those who were >60 y. Ex vivo IFN-γ T cell ELISPOT responses were seen in 10 of 66 (15.1%), whereas only a few expressed CD107a. However, >85% had a high frequency of cultured IFN-γ T cell ELISPOT responses and B cell ELISPOTs. Virus-specific Abs were maintained at ≥16 wk after receiving a single dose of AZD1222, although levels were lower to variants of concern, especially in older individuals. A single dose induced a high frequency of memory T and B cell responses.
Background Individuals who have not been exposed to the SARS-CoV2 virus have been shown to have T cells that respond to the virus, possibly due to the presence of cross-reactive T cell responses to other seasonal human coronaviruses (HCoVs). Such cross-reactive T cell immunity may lead to immunopathology or protection. Results To understand the influence of such cross-reactive T cell responses, we used IEDB (Immune epitope database) and NetMHCpan (ver. 4.1) to identify candidate CD8 + T cell epitopes, restricted through HLA-A and B alleles, which are seen in a frequency of > 10% in the Sri Lankan population. Conservation analysis was carried out for these candidate epitopes with the HCoVs, OC43, HKU1, NL63 and with the current circulating different variants of SARS-CoV2. 12/18 the candidate CD8 + T cell epitopes (binding score of ≥ 0.90), which had a high degree of homology (> 75%) with the other three HCoVs were within the NSP12 and NSP13 proteins. They were predicted to be restricted through HLA-A*2402, HLA-A*201, HLA-A*206 and HLA-B alleles B*3501. 31 candidate CD8 + T cell epitopes that were specific to SARS-CoV2 virus (< 25% homology with other HCoVs) were predominantly identified within the structural proteins (spike, envelop, membrane and nucleocapsid) and the NSP1, NSP2 and NSP3. They were predominantly restricted through HLA-B*3501 (6/31), HLA-B*4001 (6/31), HLA-B*4403(7/31) and HLA-A*2402 (8/31). The candidate CD8 + T cell epitopes that were homologous or were specific, with a binding score of ≥ 0.90, were found to be highly conserved within the SARS-CoV2 variants identified so far. Conclusions It would be crucial to understand T cell responses that associate with protection and the differences in the functionality and phenotype of epitope specific T cell responses, presented through different HLA alleles common in different geographical groups in order to understand disease pathogenesis.
We recently developed a machine learning (ML) based program to predict cancer hotspots. Here, we applied the ML program to 32 non‐receptor tyrosine kinases (NRTKs) and identified 36 potential cancer driver mutations, with high probability mutations in 10 genes, including ABL1, ABL2, JAK1, JAK3, and ACK1. Interestingly among all the NRTKs, ACK1 is the only kinase that, when altered, shows a significant drop in overall survival, supporting the idea that ACK1 is an oncogenic tyrosine kinase. ACK1 is a member of the poorly understood ACK family of NRTKs that also includes TNK1. Although ACK1 is an established oncogene and high‐interest therapeutic target, the exact mechanism of ACK1 regulation is largely unknown and there is still no ACK1 inhibitor in clinical use. The ACK kinase family has a unique domain arrangement with, most notably, a predicted ubiquitin association (UBA) domain at its C‐terminus. The presence of a functional UBA domain on a kinase is unique to the ACK family, but the role of the UBA domain on ACK1 is unknown. Interestingly, the ML program identified the ACK1 UBA‐truncating mutation p633fs* as a cancer hotspot. Our preliminary data suggest that the ACK1 UBA domain helps activate full‐length ACK1 through induced proximity, but also acts as a mechanism of negative feedback by tethering ACK1 to ubiquitinated cargo that is ultimately degraded. Indeed, our preliminary data suggest that truncation of the ACK1 UBA stabilizes ACK1 protein levels, which results in spontaneous ACK1 oligomerization and activation. Thus, our data provide a model to explain how human mutations in ACK1 convert the kinase into an oncogenic driver.
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