Proyectos por año
Resumen
Genetic and non-genetic factors are responsible for the high interindividual variability in the response to SARS-CoV-2. Although numerous genetic polymorphisms have been identified as risk factors for severe COVID-19, these remain understudied in Latin-American populations. This study evaluated the association of non-genetic factors and three polymorphisms: ACE rs4646994, ACE2 rs2285666, and LZTFL1 rs11385942, with COVID severity and long-term symptoms by using a case-control design. The control group was composed of asymptomatic/mild cases ( n = 61) recruited from a private laboratory, while the case group was composed of severe/critical patients ( n = 63) hospitalized in the Hospital Universitario Mayor-Méderi, both institutions located in Bogotá, Colombia. Clinical follow up and exhaustive revision of medical records allowed us to assess non-genetic factors. Genotypification of the polymorphism of interest was performed by amplicon size analysis and Sanger sequencing. In agreement with previous reports, we found a statistically significant association between age, male sex, and comorbidities, such as hypertension and type 2 diabetes mellitus (T2DM), and worst outcomes. We identified the polymorphism LZTFL1 rs11385942 as an important risk factor for hospitalization ( p < 0.01; OR = 5.73; 95% CI = 1.2-26.5, under the allelic test). Furthermore, long-term symptoms were common among the studied population and associated with disease severity. No association between the polymorphisms examined and long-term symptoms was found. Comparison of allelic frequencies with other populations revealed significant differences for the three polymorphisms investigated. Finally, we used the statistically significant genetic and non-genetic variables to develop a predictive logistic regression model, which was implemented in a Shiny web application. Model discrimination was assessed using the area under the receiver operating characteristic curve (AUC = 0.86; 95% confidence interval 0.79-0.93). These results suggest that LZTFL1 rs11385942 may be a potential biomarker for COVID-19 severity in addition to conventional non-genetic risk factors. A better understanding of the impact of these genetic risk factors may be useful to prioritize high-risk individuals and decrease the morbimortality caused by SARS-CoV2 and future pandemics.
Idioma original | Inglés |
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Número de artículo | 910098 |
Páginas (desde-hasta) | 910098 |
Publicación | Frontiers in Medicine |
Volumen | 9 |
DOI | |
Estado | Publicada - 20 jun. 2022 |
Huella
Profundice en los temas de investigación de 'Association Between the LZTFL1 rs11385942 Polymorphism and COVID-19 Severity in Colombian Population.'. En conjunto forman una huella única.Proyectos
- 1 Terminado
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Impacto de los factores genéticos y no genéticos en la severidad de la infección por SARS-CoV-2: hacia la generación de un modelo de predicción de riesgo en una muestra población colombiana
Angulo-Aguado, M. (Investigador principal), Corredor-Orlandelli, D. (Coinvestigador), Carrillo-Martínez, J. C. (Coinvestigador), Gonzalez-Cornejo, M. (Coinvestigador), Pineda-Mateus , E. (Coinvestigador), Rojas, C. (Coinvestigador), Triana-Fonseca, P. (Coinvestigador), Contreras Bravo, N. C. (Coinvestigador), Morel, A. (Coinvestigador), Parra-Abaunza, K. (Coinvestigador), Restrepo, C. M. (Investigador principal), Fonseca-Mendoza, D. J. (Coinvestigador) & Ortega-Recalde, O. (Coinvestigador)
12/01/21 → 28/01/22
Proyecto: Investigación › Investigación Clínica