Back

Mortality-Associated SARS-COV-2 Genomic Variants From Patients Hospitalized For Severe Pneumonia In Aguascalientes, Mexico From 2020 To 2023

Gomez, B. M.; Gamboa, M. L.; Marmolejo, A. P.; Ceapa, C. D.

2024-03-06 molecular biology
10.1101/2024.03.05.583594 bioRxiv
Show abstract

BackgroundThe SARS-CoV-2 virus has caused a global health crisis, resulting in a significant loss of human lives. It is essential to report disease and mutation associations to provide ideas for public health interventions and preventive measures. MethodsIn this study, to determine the association between genomic variants and the severity of pneumonia caused by SARS-CoV-2, a sequencing analysis of 150 patient samples with confirmed COVID-19 was conducted. These samples were collected between 2021 and 2023 and isolated in Aguascalientes, Mexico. ResultsThe patient cohort had males and females ranging from 0 to 91 years old. Males accounted for 66% of the population analyzed. The Delta variant was the most prevalent lineage associated with deaths in 2021-2022, while the B.1.1.529 lineages emerged in mid-2022. Currently, the XBB lineage is the most commonly identified in Mexico. New mutations L95M and L46M in ORF 8 and ORF 9 were discovered in 30% and 20% of the sequences and are uniquely present in the studied population. These mutations are positively associated with patient death. ConclusionsThis study provides valuable data to aid in understanding the evolution of SARS-CoV-2 in specific populations and explores the severity of the disease and mutation correlations.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.