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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
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.
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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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