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
{"title":"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","authors":"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","doi":"10.1177/11795972241298786","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The performance and genetic role in host response delineate investigative points of polymorphisms as potential biomarkers in viral infections.</p><p><strong>Methods: </strong>Thus, this research aimed to map biomarkers and risk factors in the severity of COVID-19 in individuals in Western Amazon (n = 243).</p><p><strong>Results: </strong>Patients aged 40 to 59 years showed an association with clinical progression (<i>P</i> = .003), also evidencing the relationship for individuals >60 years (<i>P</i> < .001), besides the non-vaccination influenced the pathology (<i>P</i> = .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 (<i>P</i> < .05) with the allelic and genotypic frequency of rs12979860 (<i>x</i> <sup>2</sup> < 3.84) and evolutionary pointing of rs2070788G allele among infected people, including deaths.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"16 ","pages":"11795972241298786"},"PeriodicalIF":2.3000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12044272/pdf/","citationCount":"0","resultStr":"{\"title\":\"Screening Biomarkers and Risk Factors for COVID-19 Progression in a Border Population Between Brazil-Bolivia.\",\"authors\":\"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\",\"doi\":\"10.1177/11795972241298786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The performance and genetic role in host response delineate investigative points of polymorphisms as potential biomarkers in viral infections.</p><p><strong>Methods: </strong>Thus, this research aimed to map biomarkers and risk factors in the severity of COVID-19 in individuals in Western Amazon (n = 243).</p><p><strong>Results: </strong>Patients aged 40 to 59 years showed an association with clinical progression (<i>P</i> = .003), also evidencing the relationship for individuals >60 years (<i>P</i> < .001), besides the non-vaccination influenced the pathology (<i>P</i> = .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 (<i>P</i> < .05) with the allelic and genotypic frequency of rs12979860 (<i>x</i> <sup>2</sup> < 3.84) and evolutionary pointing of rs2070788G allele among infected people, including deaths.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":42484,\"journal\":{\"name\":\"Biomedical Engineering and Computational Biology\",\"volume\":\"16 \",\"pages\":\"11795972241298786\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12044272/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedical Engineering and Computational Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/11795972241298786\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Engineering and Computational Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11795972241298786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
Screening Biomarkers and Risk Factors for COVID-19 Progression in a Border Population Between Brazil-Bolivia.
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 (x2 < 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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