JN.1 variant in enduring COVID-19 pandemic: is it a variety of interest (VoI) or variety of concern (VoC)? Article Swipe
Prafull Kamble
,
Vandana Daulatabad
,
Anish Singhal
,
Syed Ahmed Zaki
,
Abhishek Choubey
,
Shruti Bhargava
,
Nitin Ashok John
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1515/hmbci-2023-0088
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1515/hmbci-2023-0088
The emergence of the SARS-CoV-2 Omicron variant, classified as a Variant of Concern (VoC) in November 2021, marked a significant shift in the COVID-19 landscape. This study investigates the subsequent development of a novel Omicron sublineage, JN.1, which displays distinctive mutations in the spike protein. The study delves into the phylogenetic differences between these variants and their potential implications. A comprehensive analysis of the genomic profiles and mutation patterns of JN.1 and BA.2.86 was conducted, utilizing SARS-CoV-2 database. The study explores the unique mutations, such as S:L455S in JN.1, associated with increased transmissibility and immune escape. Furthermore, a comparison with prevalent strains like XBB.1.5 and HV.1 highlights the substantial genetic divergence of JN.1. JN.1, first detected in August 2023, exhibits a notable spike protein mutation profile, including the reappearance of earlier variants’ mutations (E484K and P681R). The variant’s increased transmissibility and immune evasion potential are attributed to specific spike protein mutations like R21T, S50L, V127F, R158G, and others. The study also explores the distribution and prevalence of JN.1 globally, with a focus on the rising cases in India. JN.1 poses a unique challenge as one of the most immune-evading variants, with potential implications for COVID-19 transmission. The study emphasizes the importance of monitoring and understanding emerging variants, especially those with distinct spike protein mutations. The observed cases in India highlight the need for vigilance and prompt public health responses. As JN.1 continues to evolve, ongoing surveillance, vaccination strategies, and adherence to preventive measures are crucial to mitigating its potential impact on global public health.
Related Topics
Concepts
Coronavirus disease 2019 (COVID-19)
Variety (cybernetics)
Pandemic
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
2019-20 coronavirus outbreak
Medicine
Virology
Computer science
Infectious disease (medical specialty)
Artificial intelligence
Disease
Pathology
Outbreak
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1515/hmbci-2023-0088
- https://www.degruyter.com/document/doi/10.1515/hmbci-2023-0088/pdf?licenseType=limitedFree
- OA Status
- bronze
- Cited By
- 14
- References
- 9
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394848924
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4394848924Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1515/hmbci-2023-0088Digital Object Identifier
- Title
-
JN.1 variant in enduring COVID-19 pandemic: is it a variety of interest (VoI) or variety of concern (VoC)?Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-16Full publication date if available
- Authors
-
Prafull Kamble, Vandana Daulatabad, Anish Singhal, Syed Ahmed Zaki, Abhishek Choubey, Shruti Bhargava, Nitin Ashok JohnList of authors in order
- Landing page
-
https://doi.org/10.1515/hmbci-2023-0088Publisher landing page
- PDF URL
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https://www.degruyter.com/document/doi/10.1515/hmbci-2023-0088/pdf?licenseType=limitedFreeDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://www.degruyter.com/document/doi/10.1515/hmbci-2023-0088/pdf?licenseType=limitedFreeDirect OA link when available
- Concepts
-
Coronavirus disease 2019 (COVID-19), Variety (cybernetics), Pandemic, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), 2019-20 coronavirus outbreak, Medicine, Virology, Computer science, Infectious disease (medical specialty), Artificial intelligence, Disease, Pathology, OutbreakTop concepts (fields/topics) attached by OpenAlex
- Cited by
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14Total citation count in OpenAlex
- Citations by year (recent)
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2025: 10, 2024: 4Per-year citation counts (last 5 years)
- References (count)
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9Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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