Publications by authors named "Eshrar Osman"

Background: Frontonasal dysplasia type-2(FND2), a rare phenotypically variable and heterogeneous developmental anomaly resulting from mutation of the ALX4 gene, is primarily characterized by malformation of the skull and facial skeleton. This study was designed to showcase a clinical, imaging, and genetic analysis of FND2 in a consanguineous family of Bangladeshi origin.

Methodology: Clinical imaging and whole genome sequencing of mother, father and patient was done by using Nextera DNA flex library preparation kit (Illumina, USA) using Novaseq 6000 next generation sequencer to find out ALX4 mutation which causes FND2 in patient.

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In the present study, we report the complete genome of five Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) from Bangladesh harboring mutations at Spike protein (E484K, Q677H, D614G, A67V, Q52R, Y144del, H69del, V70del, F888L) assigned to the B.1.525 lineage (Variant of interest).

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Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of COVID -19, is constantly evolving, requiring continuous genomic surveillance. In this study, we used whole-genome sequencing to investigate the genetic epidemiology of SARS-CoV-2 in Bangladesh, with particular emphasis on identifying dominant variants and associated mutations. We used high-throughput next-generation sequencing (NGS) to obtain DNA sequences from COVID-19 patient samples and compared these sequences to the Wuhan SARS-CoV-2 reference genome using the Global Initiative for Sharing All Influenza Data (GISAID).

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The impact of SARS-CoV-2 infection on the nasopharyngeal microbiome has not been well characterised. We sequenced genetic material extracted from nasopharyngeal swabs of SARS-CoV-2-positive individuals who were asymptomatic (n = 14), had mild (n = 64) or severe symptoms (n = 11), as well as from SARS-CoV-2-negative individuals who had never-been infected (n = 5) or had recovered from infection (n = 7). Using robust filters, we identified 1345 taxa with approximately 0.

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Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the ongoing coronavirus disease 2019 (COVID-19) pandemic which has brought a great challenge to public health. After the first emergence of novel coronavirus SARS-CoV-2 in the city of Wuhan, China, in December 2019. As of March 2020, SARS-CoV-2 was first reported in Bangladesh and since then the country has experienced a steady rise in infections, resulting in 13,355,191 cases and 29,024 deaths as of 27 February 2022.

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The microbiota of the nasopharyngeal tract (NT) play a role in host immunity against respiratory infectious diseases. However, scant information is available on interactions of SARS-CoV-2 with the nasopharyngeal microbiome. This study characterizes the effects of SARS-CoV-2 infection on human nasopharyngeal microbiomes and their relevant metabolic functions.

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We report the near-complete genome sequence and phylogenetic analysis of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Delta variant (B.1.617.

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This study reports the coding-complete genome sequence, with variant identifications and phylogenetic analysis, of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) P.1 variant (20J/501Y.V3), obtained from an oropharyngeal swab specimen from a female Bangladeshi patient diagnosed with coronavirus disease 2019 (COVID-19) with no travel history.

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Objective: The major objective of the study was to sequence the whole genome of four Bangladeshi individuals and identify variants that are known to be associated with functional changes or disease states. We also carried out an ontology analysis to identify the functions and pathways most likely to be affected by these variants.

Results: We identified around 900,000 common variants and close to 5 million unique ones in all four of the individuals.

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We report the sequencing of three severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from Bangladesh. We have identified a unique mutation (NSP2_V480I) in one of the sequenced genomes (isolate hCoV-19/Bangladesh/BCSIR-NILMRC-006/2020) compared to the sequences available in the Global Initiative on Sharing All Influenza Data (GISAID) database. The data from this analysis will contribute to advancing our understanding of the epidemiology of SARS-CoV-2 in Bangladesh as well as worldwide at the molecular level and will identify potential new targets for interventions.

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