Exploration of Medicine

Special Issue Topic

Emerging Infectious Diseases

Submission Deadline: December 31, 2023

Guest Editor

Prof. Marcos Roberto Tovani-Palone E-Mail

Professor, Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai - 600 077, India

Research Keywords: general medicine; dentistry; public health; pathology; pathophysiology

About the Special Issue

Published Articles

Open Access

Original Article

Figuring the characteristics of the Delta variant SARS-CoV-2 gene mutations in an Indonesian hospital: a descriptive study
Aim: Coronavirus disease 2019 (COVID-19) is a respiratory infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The SARS-CoV-2 has undergone several mutations, and ult [...] Read more.

Aim:

Coronavirus disease 2019 (COVID-19) is a respiratory infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The SARS-CoV-2 has undergone several mutations, and ultimately, Indonesia was designated the Asian epicenter of the pandemic in 2021 due to the emergence of Delta variant SARS-CoV-2. Therefore, this study aimed to determine the characteristics of the Delta variant SARS-CoV-2 gene mutations.

Methods:

This is a cross-sectional descriptive study to determine the mutation characteristics of the Delta variant SARS-CoV-2 with data collected from patients’ medical records and whole genome sequencing (WGS).

Results:

The forty-nine patients who contracted the Delta variant SARS-CoV-2 were mainly aged 31−45 years and female. Four sublineages were identified, namely AY.23 (69.39%), AY.24 (22.45%), B.1.617.2 (6.12%), and AY.62 (2.04%), with fever and malaise being the most common clinical manifestations (79.60%). Furthermore, the spike (S) protein was most frequently mutated (12 mutations), with mutations in the Delta variant SARS-CoV-2 membrane (M) protein, nucleocapsid (N) protein, open reading frame (ORF), and nonstructural protein (NSP) also identified.

Conclusions:

The most common Delta variant SARS-CoV-2 sublineage in the current study cohort was AY.23, with the S protein being most frequently mutated. Continuous genomic surveillance is required to contain future outbreaks or infection waves, especially during the COVID-19 pandemic.

Phey Liana ... Tungki Pratama Umar

Published: October 31, 2023 Explor Med. 2023;4:839–846
DOI: https://doi.org/10.37349/emed.2023.00181

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Aim:

Coronavirus disease 2019 (COVID-19) is a respiratory infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The SARS-CoV-2 has undergone several mutations, and ultimately, Indonesia was designated the Asian epicenter of the pandemic in 2021 due to the emergence of Delta variant SARS-CoV-2. Therefore, this study aimed to determine the characteristics of the Delta variant SARS-CoV-2 gene mutations.

Methods:

This is a cross-sectional descriptive study to determine the mutation characteristics of the Delta variant SARS-CoV-2 with data collected from patients’ medical records and whole genome sequencing (WGS).

Results:

The forty-nine patients who contracted the Delta variant SARS-CoV-2 were mainly aged 31−45 years and female. Four sublineages were identified, namely AY.23 (69.39%), AY.24 (22.45%), B.1.617.2 (6.12%), and AY.62 (2.04%), with fever and malaise being the most common clinical manifestations (79.60%). Furthermore, the spike (S) protein was most frequently mutated (12 mutations), with mutations in the Delta variant SARS-CoV-2 membrane (M) protein, nucleocapsid (N) protein, open reading frame (ORF), and nonstructural protein (NSP) also identified.

Conclusions:

The most common Delta variant SARS-CoV-2 sublineage in the current study cohort was AY.23, with the S protein being most frequently mutated. Continuous genomic surveillance is required to contain future outbreaks or infection waves, especially during the COVID-19 pandemic.

Guest Editor

About the Special Issue

Published Articles

Aim:

Methods:

Results:

Conclusions:

Aim:

Methods:

Results:

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