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Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai
BACKGROUND: This manuscript describes the genetic features of SARS-CoV-2 mutations, prevalent phylogenetic lineages, and the disease severity amongst COVID-19-vaccinated individuals in a tertiary cancer hospital during the second wave of the pandemic in Mumbai, India. METHODS: This observational stu...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159196/ https://www.ncbi.nlm.nih.gov/pubmed/35685574 http://dx.doi.org/10.1155/2022/2449068 |
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author | Shetty, Arusha Chatterjee, Gaurav Rajpal, Sweta Srivastava, Tuhina Gardi, Nilesh Mirgh, Sumeet Gokarn, Anant Punatar, Sachin Shetty, Nitin Joshi, Amit Nair, Sudhir Murthy, Vedang Khattry, Navin Tembhare, Prashant Dikshit, Rajesh Chaturvedi, Pankaj More, Ashwini Kamtalwar, Sujeet Chavan, Preeti Bhat, Vivek Patil, Amar Dhumal, Sachin Bhat, Prashant Subramanian, Papagudi Gujral, Sumeet Badwe, Rajendra Patkar, Nikhil Gupta, Sudeep |
author_facet | Shetty, Arusha Chatterjee, Gaurav Rajpal, Sweta Srivastava, Tuhina Gardi, Nilesh Mirgh, Sumeet Gokarn, Anant Punatar, Sachin Shetty, Nitin Joshi, Amit Nair, Sudhir Murthy, Vedang Khattry, Navin Tembhare, Prashant Dikshit, Rajesh Chaturvedi, Pankaj More, Ashwini Kamtalwar, Sujeet Chavan, Preeti Bhat, Vivek Patil, Amar Dhumal, Sachin Bhat, Prashant Subramanian, Papagudi Gujral, Sumeet Badwe, Rajendra Patkar, Nikhil Gupta, Sudeep |
author_sort | Shetty, Arusha |
collection | PubMed |
description | BACKGROUND: This manuscript describes the genetic features of SARS-CoV-2 mutations, prevalent phylogenetic lineages, and the disease severity amongst COVID-19-vaccinated individuals in a tertiary cancer hospital during the second wave of the pandemic in Mumbai, India. METHODS: This observational study included 159 COVID-19 patients during the second wave of the pandemic from 17(th) March to 1(st) June 2021 at a tertiary cancer care centre in Mumbai. The cohort comprised of healthcare workers, staff relatives, cancer patients, and patient relatives. For comparison, 700 SARS-CoV-2 genomes sequenced during the first wave (23(rd) April to 25(th) September 2020) at the same centre were also analysed. Patients were assigned to nonvaccinated (no vaccination or <14 days from the 1(st) dose, n = 92), dose 1(≥14 days from the 1(st) dose to <14 days from the 2(nd) dose, n = 29), and dose 2 (≥14 days from the 2(nd) dose, n = 38) groups. Primary measure was the prevalence of SARS-CoV-2 genomic lineages among different groups. In addition, severity of COVID-19 was assessed according to clinical and genomic variables. RESULTS: Kappa B.1.1671.1 and delta B.1.617.2 variants contributed to an overwhelming majority of sequenced genomes (unvaccinated: 40/92, 43.5% kappa, 46/92, 50% delta; dose 1: 14/29, 48.3% kappa, 15/29, 51.7% delta; and dose 2: 23/38, 60.5% kappa, 14/38 36.8% delta). The proportion of the kappa and delta variants did not differ significantly across the unvaccinated, dose 1, and dose 2 groups (p = 0.27). There was no occurrence of severe COVID-19 in the dose 2 group (0/38, 0% vs. 14/121, 11.6%; p = 0.02). SARS-CoV-2 genomes from all three severe COVID-19 patients in the vaccinated group belonged to the delta lineage (3/28, 10.7% vs. 0/39, 0.0%, p = 0.04). CONCLUSIONS: Sequencing analysis of SARS-COV-2 genomes from Mumbai during the second wave of COVID-19 suggests the prevalence of the kappa B.1.617.1 and the delta B.1.627.2 variants among both vaccinated and unvaccinated individuals. Continued evaluation of genomic sequencing data from breakthrough COVID-19 is necessary for monitoring the properties of evolving variants of concern and formulating appropriate immune response boosting and therapeutic strategies. |
format | Online Article Text |
id | pubmed-9159196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-91591962022-06-07 Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai Shetty, Arusha Chatterjee, Gaurav Rajpal, Sweta Srivastava, Tuhina Gardi, Nilesh Mirgh, Sumeet Gokarn, Anant Punatar, Sachin Shetty, Nitin Joshi, Amit Nair, Sudhir Murthy, Vedang Khattry, Navin Tembhare, Prashant Dikshit, Rajesh Chaturvedi, Pankaj More, Ashwini Kamtalwar, Sujeet Chavan, Preeti Bhat, Vivek Patil, Amar Dhumal, Sachin Bhat, Prashant Subramanian, Papagudi Gujral, Sumeet Badwe, Rajendra Patkar, Nikhil Gupta, Sudeep Int J Clin Pract Research Article BACKGROUND: This manuscript describes the genetic features of SARS-CoV-2 mutations, prevalent phylogenetic lineages, and the disease severity amongst COVID-19-vaccinated individuals in a tertiary cancer hospital during the second wave of the pandemic in Mumbai, India. METHODS: This observational study included 159 COVID-19 patients during the second wave of the pandemic from 17(th) March to 1(st) June 2021 at a tertiary cancer care centre in Mumbai. The cohort comprised of healthcare workers, staff relatives, cancer patients, and patient relatives. For comparison, 700 SARS-CoV-2 genomes sequenced during the first wave (23(rd) April to 25(th) September 2020) at the same centre were also analysed. Patients were assigned to nonvaccinated (no vaccination or <14 days from the 1(st) dose, n = 92), dose 1(≥14 days from the 1(st) dose to <14 days from the 2(nd) dose, n = 29), and dose 2 (≥14 days from the 2(nd) dose, n = 38) groups. Primary measure was the prevalence of SARS-CoV-2 genomic lineages among different groups. In addition, severity of COVID-19 was assessed according to clinical and genomic variables. RESULTS: Kappa B.1.1671.1 and delta B.1.617.2 variants contributed to an overwhelming majority of sequenced genomes (unvaccinated: 40/92, 43.5% kappa, 46/92, 50% delta; dose 1: 14/29, 48.3% kappa, 15/29, 51.7% delta; and dose 2: 23/38, 60.5% kappa, 14/38 36.8% delta). The proportion of the kappa and delta variants did not differ significantly across the unvaccinated, dose 1, and dose 2 groups (p = 0.27). There was no occurrence of severe COVID-19 in the dose 2 group (0/38, 0% vs. 14/121, 11.6%; p = 0.02). SARS-CoV-2 genomes from all three severe COVID-19 patients in the vaccinated group belonged to the delta lineage (3/28, 10.7% vs. 0/39, 0.0%, p = 0.04). CONCLUSIONS: Sequencing analysis of SARS-COV-2 genomes from Mumbai during the second wave of COVID-19 suggests the prevalence of the kappa B.1.617.1 and the delta B.1.627.2 variants among both vaccinated and unvaccinated individuals. Continued evaluation of genomic sequencing data from breakthrough COVID-19 is necessary for monitoring the properties of evolving variants of concern and formulating appropriate immune response boosting and therapeutic strategies. Hindawi 2022-02-11 /pmc/articles/PMC9159196/ /pubmed/35685574 http://dx.doi.org/10.1155/2022/2449068 Text en Copyright © 2022 Arusha Shetty et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shetty, Arusha Chatterjee, Gaurav Rajpal, Sweta Srivastava, Tuhina Gardi, Nilesh Mirgh, Sumeet Gokarn, Anant Punatar, Sachin Shetty, Nitin Joshi, Amit Nair, Sudhir Murthy, Vedang Khattry, Navin Tembhare, Prashant Dikshit, Rajesh Chaturvedi, Pankaj More, Ashwini Kamtalwar, Sujeet Chavan, Preeti Bhat, Vivek Patil, Amar Dhumal, Sachin Bhat, Prashant Subramanian, Papagudi Gujral, Sumeet Badwe, Rajendra Patkar, Nikhil Gupta, Sudeep Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai |
title | Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai |
title_full | Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai |
title_fullStr | Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai |
title_full_unstemmed | Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai |
title_short | Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai |
title_sort | genomic analysis of azd1222 (chadox1) vaccine breakthrough infections in the city of mumbai |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159196/ https://www.ncbi.nlm.nih.gov/pubmed/35685574 http://dx.doi.org/10.1155/2022/2449068 |
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