Age-dependent association of clonal hematopoiesis with COVID-19 mortality in patients over 60 years

被引:0
|
作者
Marta Del Pozo-Valero
Marta Corton
Rosario López-Rodríguez
Ignacio Mahillo-Fernández
Javier Ruiz-Hornillos
Pablo Minguez
Cristina Villaverde
María Elena Pérez-Tomás
María Barreda-Sánchez
Esther Mancebo
Estela Paz-Artal
Encarna Guillén-Navarro
Berta Almoguera
Carmen Ayuso
机构
[1] Instituto de Investigación Sanitaria-Hospital Universitario Fundación Jiménez Díaz,Department of Genetics & Genomics
[2] Universidad Autónoma de Madrid (IIS-FJD,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)
[3] UAM),Department of Pharmaceutical and Health Sciences, School of Pharmacy
[4] Instituto de Salud Carlos III,Department of Epidemiology
[5] Universidad San Pablo-CEU,Allergy Unit
[6] Instituto de Investigación Sanitaria-Hospital Universitario Fundación Jiménez Díaz,School of Medicine
[7] Universidad Autónoma de Madrid (IIS-FJD,Bioinformatics Unit
[8] UAM),School of Health Sciences
[9] Hospital Universitario Infanta Elena,Department of Immunology
[10] Universidad Francisco de Vitoria,Department of Immunology, Ophthalmology and ENT. School of Medicine
[11] Instituto de Investigación Sanitaria-Hospital Universitario Fundación Jiménez Díaz,Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC)
[12] Universidad Autónoma de Madrid (IIS-FJD,Medical Genetics Section, Pediatric Department
[13] UAM),School of Medicine
[14] Instituto Murciano de Investigación Biosanitaria Virgen de La Arrixaca (IMIB-Arrixaca),undefined
[15] Universidad Católica San Antonio de Murcia (UCAM),undefined
[16] Hospital Universitario,undefined
[17] Instituto de Investigación Sanitaria Hospital,undefined
[18] Universidad Complutense de Madrid,undefined
[19] Instituto de Salud Carlos III,undefined
[20] Hospital Clínico Universitario Virgen de La Arrixaca,undefined
[21] Universidad de Murcia (UMU),undefined
来源
GeroScience | 2023年 / 45卷
关键词
COVID-19; Mortality risk; Clonal variants;
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中图分类号
学科分类号
摘要
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.
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页码:543 / 553
页数:10
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