Screening Biomarkers and Risk Factors for COVID-19 Progression in a Border Population Between Brazil-Bolivia.

IF 3.1 Q3 ENGINEERING, BIOMEDICAL

Biomedical Engineering and Computational Biology Pub Date : 2025-04-30 eCollection Date: 2025-01-01 DOI:10.1177/11795972241298786

Ana Maísa Passos-Silva, Adrhyan Araújo, Tárcio Peixoto Roca, Jackson Alves da Silva Queiroz, Gabriella Sgorlon, Rita de Cássia Pontello Rampazzo, Juan Miguel Villalobos Salcedo, Juliana Pavan Zuliani, Deusilene Vieira

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Abstract

Background: The performance and genetic role in host response delineate investigative points of polymorphisms as potential biomarkers in viral infections.

Methods: Thus, this research aimed to map biomarkers and risk factors in the severity of COVID-19 in individuals in Western Amazon (n = 243).

Results: Patients aged 40 to 59 years showed an association with clinical progression (P = .003), also evidencing the relationship for individuals >60 years (P < .001), besides the non-vaccination influenced the pathology (P = .023). qPCR for human genotyping of the targets rs2070788, rs4702, rs76635825, rs540856718, rs35803318, rs12979860, and rs16899066, as well as for gene expression of ACE2, HLA-A, HLA-B, IFNL-3/2, IL-6, and TMPRSS2 was used. The rs12979860 (C > T) and rs2070788 (A > G) showed association among the analyzed groups (P < .05) with the allelic and genotypic frequency of rs12979860 (x ² < 3.84) and evolutionary pointing of rs2070788G allele among infected people, including deaths.

Conclusion: Gene expression showed high levels between the moderate and severe groups, with emphasis on TMPRSS2 and IL-6 genes that performed better. Thus, there is possibly an association regarding the role of the TMPRSS2 gene and rs2070788G, as well as age and IL-6 levels for COVID-19, pointing in parallel to the considerable influence of the vaccine on the SARS-CoV-2 pathway.

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筛查巴西-玻利维亚边境人群中COVID-19进展的生物标志物和危险因素

背景：宿主反应中的表现和遗传作用描述了多态性作为病毒感染潜在生物标志物的研究要点。因此，本研究旨在绘制西亚马逊地区（n = 243）个体中COVID-19严重程度的生物标志物和危险因素。结果：40 ~ 59岁的患者与临床进展相关（P = 0.003）， 60岁以下的患者也与临床进展相关（P = 0.023）。采用qPCR对靶点rs2070788、rs4702、rs76635825、rss540856718、rs35803318、rs12979860、rs16899066进行人基因分型，并对ACE2、HLA-A、HLA-B、IFNL-3/2、IL-6、TMPRSS2进行基因表达分析。rs12979860 （C > T）和rs2070788 （A > G）在分析组间存在相关性（P × 2）。结论：中度组和重度组间基因表达水平较高，以TMPRSS2和IL-6基因表现较好。因此，TMPRSS2基因和rs2070788G以及年龄和IL-6水平对COVID-19的作用可能存在关联，这与疫苗对SARS-CoV-2途径的相当大影响平行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Biomedical Engineering and Computational Biology ENGINEERING, BIOMEDICAL-

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8 weeks