The emergence of the Omicron XBB.1.5 variant in India: a brief report on clinical presentation of a few cases

Samal, Jasmine; Bhugra, Arjun; Suroliya, Varun; Gautam, Pramod; Agarwal, Reshu; Bihari, Chhagan; Gupta, Ekta

doi:10.3389/fviro.2023.1158703

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…By April 6th, 2023, there have been about 141,100 instances of XBB.1.5* (which has now split into 26 more XBB1.5.x versions) in 98 countries worldwide. Around 58% of these cases are from the US [5].The rst case recorded was in the US on October 26th, 2022. According to the latest data from the CDC COVID tracker on April 1st, 2023, XBB.1.5 made up 90% of all reported cases [6].…”

Section: Introductionmentioning

confidence: 99%

“…*E cacy represents performance under ideal and controlled trials SARS-CoV-2 is prone to mutation, which imposes substantial challenges in the development of COVID-19 vaccines. Although many teams worldwide are making great efforts in the development of SARS-CoV-2 vaccines, risks and drawbacks are associated with several vaccines [5]. Omicron may have emerged from a chronically infected COVID-19 patient vaccinated with an mRNA-or non-mRNA-based vaccine, allowing the virus to adapt and mutate to escape the immune response.…”

Section: Introductionmentioning

confidence: 99%

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Designing the Vaccine against the Omicron Variants of COVID-19 Virus as a Target by using Immunoinformatics Approach

Nag,

Varun

2024

Preprint

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COVID-19 vaccines have been a key determinant in humanity’s fight against the pandemic. It has been observed that vaccinated individuals have shown decline in instances of symptoms occurring and even in the overall severity of symptoms in the individuals where they do appear. However, due to this upgraded defence in hosts several variants have emerged. The most recent VOCs of SARS-CoV-2 in these newly emerged variants is the omicron variant. Reports shows that the surface glycoprotein of omicron, has changed with as many as around 52 mutations than its preceding variant Delta. Thus, despite the availability of COVID-19 vaccines against ancestral strains, their effectiveness is predicted to decreases with each variant, necessitating more potent vaccines against emerging variants. Therefore, the aim was to identify a vaccine candidate against the Omicron (BA.2 and XBB.1.5) by targeting stable structural proteins using immunoinformatic. Tools like, the IEDB, and VaxiJen v2.0, have been used for the identification of the T-cell and B-cell epitopes. The interaction of receptors and the validated 3D model of vaccine candidate were predicted. Promising antigenic peptides, from the structural proteins of Omicron (BA.2) were predicted to MHC class I (HLA)-A*11-01allele, exhibiting high antigenicity. The study has identified promising vaccine candidates using immunoinformatic against Omicron variants of SARS-CoV-2.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Designing the Vaccine against the Omicron Variants of COVID-19 Virus as a Target by using Immunoinformatics Approach

Nag,

Varun

2024

Preprint

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Wastewater surveillance of severe acute respiratory syndrome coronavirus-2 in open drains of two Indian megacities captures evolutionary lineage transitions: a zonation approach

Zambre,

Katarmal,

Pawar

et al. 2024

Environ Sci Pollut Res

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Wastewater surveillance of open drains for mapping the trajectory and succession of SARS-CoV-2 lineages in 23 class-I cities of Maharashtra State (India) during June 2022 to May 2023

Matra,

Ghode,

Rajput

et al. 2024

Preprint

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The timely detection of SARS-CoV-2 is crucial for controlling its spread, especially in areas vulnerable to outbreaks. Leveraging Wastewater-Based Epidemiology (WBE), our study examined the proliferation, dissemination, and evolution of the virus across urban, suburban, and densely populated regions in Maharashtra state, India. Over the course of 12-months, from June 2022 to May 2023, SARS-CoV-2 RNA was consistently detected in wastewater samples collected from open drains across various regions of the state. Whole genome sequencing revealed the presence of 22 distinct SARS-CoV-2 lineages, with the Omicron variant dominating from July to September 2022, followed by the XBB variant from February to April 2023, along with other variants such as BF, BQ, CH, and BA.2.86, albeit with lower frequencies. Wastewater surveillance provided early insights into viral transmission, complementing clinical surveillance. Notably, our study detected emerging variants before clinical reporting, highlighting the potential of WBE for early detection. Our findings underscore the importance of WBE in tracking and managing the spread of COVID-19, especially in areas with limited clinical testing. This study highlights the significance of WBE in global infectious disease surveillance especially under low to middle-income countries (LMICs).

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The emergence of the Omicron XBB.1.5 variant in India: a brief report on clinical presentation of a few cases

Cited by 3 publications

References 13 publications

Designing the Vaccine against the Omicron Variants of COVID-19 Virus as a Target by using Immunoinformatics Approach

Designing the Vaccine against the Omicron Variants of COVID-19 Virus as a Target by using Immunoinformatics Approach

Wastewater surveillance of severe acute respiratory syndrome coronavirus-2 in open drains of two Indian megacities captures evolutionary lineage transitions: a zonation approach

Wastewater surveillance of open drains for mapping the trajectory and succession of SARS-CoV-2 lineages in 23 class-I cities of Maharashtra State (India) during June 2022 to May 2023

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