TY - JOUR
T1 - Age-dependent association of clonal hematopoiesis with COVID-19 mortality in patients over 60 years
AU - the STOP_Coronavirus Study Group
AU - Del Pozo-Valero, Marta
AU - Corton, Marta
AU - López-Rodríguez, Rosario
AU - Mahillo-Fernández, Ignacio
AU - Ruiz-Hornillos, Javier
AU - Minguez, Pablo
AU - Villaverde, Cristina
AU - Pérez-Tomás, María Elena
AU - Barreda-Sánchez, María
AU - Mancebo, Esther
AU - Fernández-Caballero, Lidia
AU - Sanchez, Ruth Fernández
AU - Vara, Inés García
AU - Gordo, Laura Marzal
AU - Martínez-Ramas, Andrea
AU - Ondo, Lorena
AU - Romero, Raquel
AU - Górgolas, Miguel
AU - Cabello, Alfonso
AU - Barba, Germán Peces
AU - Heili, Sara
AU - Calvo, César
AU - Santos, Arnoldo
AU - Ríos, María Dolores Martín
AU - Sánchez-Pernaute, Olga
AU - Llanos, Lucía
AU - Zazo, Sandra
AU - Rojo, Federico
AU - Villar, Felipe
AU - de Andrés, Raimundo
AU - Alfaro, Ignacio Jiménez
AU - Gadea, Ignacio
AU - Perales, Celia
AU - Herrero, Antonio
AU - Taracido, Juan Carlos
AU - García-Vázquez, Elisa
AU - Jara-Rubio, Rubén
AU - Pons-Miñano, José A.
AU - Marín-Martínez, Juana María
AU - Herranz-Marín, María Teresa
AU - Bernal-Morell, Enrique
AU - García-García, Josefina
AU - de Dios González-Caballero, Juan
AU - Chirlaque-López, María Dolores
AU - Minguela-Puras, Alfredo
AU - Muro-Amador, Manuel
AU - Moreno-Docón, Antonio
AU - Yagüe-Guirao, Genoveva
AU - Abellán-Perpiñán, José M.
AU - Utrero-Rico, Alberto
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2023/2
Y1 - 2023/2
N2 - Clonal hematopoiesis, especially that of indeterminate potential (CHIP), has been associated with age-related diseases, such as those contributing to a more severe COVID-19. Four studies have attempted to associate CHIP with COVID-19 severity without conclusive findings. In the present work, we explore the association between CHIP and COVID-19 mortality. Genomic DNA extracted from peripheral blood of COVID-19 patients (n = 241 deceased, n = 239 survivors) was sequenced with the Myeloid Solutions™ panel of SOPHiA Genetics. The association between clonality and age and clonality and mortality was studied using logistic regression models adjusted for sex, ethnicity, and comorbidities. The association with mortality was performed with patients stratified into four groups of age according to the quartiles of the distribution: 60–74 years, 75–84 years, 85–91 years, and 92–101 years. Clonality was found in 38% of the cohort. The presence of CHIP variants, but not the number, significantly increased with age in the entire cohort of COVID-19 patients, as well as in the group of survivors (p < 0.001). When patients were stratified by age and the analysis adjusted, CHIP classified as pathogenic/likely pathogenic was significantly more represented in deceased patients compared with survivors in the group of 75–84 years (34.6% vs 13.7%, p = 0.020). We confirmed the well-established linear relationship between age and clonality in the cohort of COVID-19 patients and found a significant association between pathogenic/likely pathogenic CHIP and mortality in patients from 75 to 84 years that needs to be further validated.
AB - Clonal hematopoiesis, especially that of indeterminate potential (CHIP), has been associated with age-related diseases, such as those contributing to a more severe COVID-19. Four studies have attempted to associate CHIP with COVID-19 severity without conclusive findings. In the present work, we explore the association between CHIP and COVID-19 mortality. Genomic DNA extracted from peripheral blood of COVID-19 patients (n = 241 deceased, n = 239 survivors) was sequenced with the Myeloid Solutions™ panel of SOPHiA Genetics. The association between clonality and age and clonality and mortality was studied using logistic regression models adjusted for sex, ethnicity, and comorbidities. The association with mortality was performed with patients stratified into four groups of age according to the quartiles of the distribution: 60–74 years, 75–84 years, 85–91 years, and 92–101 years. Clonality was found in 38% of the cohort. The presence of CHIP variants, but not the number, significantly increased with age in the entire cohort of COVID-19 patients, as well as in the group of survivors (p < 0.001). When patients were stratified by age and the analysis adjusted, CHIP classified as pathogenic/likely pathogenic was significantly more represented in deceased patients compared with survivors in the group of 75–84 years (34.6% vs 13.7%, p = 0.020). We confirmed the well-established linear relationship between age and clonality in the cohort of COVID-19 patients and found a significant association between pathogenic/likely pathogenic CHIP and mortality in patients from 75 to 84 years that needs to be further validated.
KW - COVID-19
KW - Clonal variants
KW - Mortality risk
UR - https://www.scopus.com/pages/publications/85139122624
U2 - 10.1007/s11357-022-00666-5
DO - 10.1007/s11357-022-00666-5
M3 - Article
C2 - 36184726
AN - SCOPUS:85139122624
SN - 2509-2715
VL - 45
SP - 543
EP - 553
JO - GeroScience
JF - GeroScience
IS - 1
ER -