Somatic Mutations and Clonal Hematopoiesis: Unexpected Potential New Drivers of Age-Related Cardiovascular Disease.

Increasing evidence shows that conventional cardiovascular risk factors are incompletely predictive of cardiovascular disease, particularly in elderly individuals, suggesting that there may still be unidentified causal risk factors. Although the accumulation of somatic DNA mutations is a hallmark of...

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Detalles Bibliográficos
Autores: Fuster, José J, Walsh, Kenneth
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Instituto de Salud Carlos III (ISCIII)
Repositorio:Repisalud
Idioma:inglés
OAI Identifier:oai:repisalud.isciii.es:20.500.12105/17501
Acceso en línea:http://hdl.handle.net/20.500.12105/17501
Access Level:acceso abierto
Palabra clave:Mutation
Aged
Aging
Animals
Atherosclerosis
Bone Marrow Transplantation
Cardiovascular Diseases
Causality
Clone Cells
DNA (Cytosine-5-)-Methyltransferases
DNA Methyltransferase 3A
DNA-Binding Proteins
Dioxygenases
Genes, Neoplasm
Genetic Association Studies
Hematologic Neoplasms
Hematopoiesis
Hematopoietic Stem Cells
Humans
Janus Kinase 2
Mice
Population Dynamics
Precision Medicine
Proto-Oncogene Proteins
Risk Factors
Descripción
Sumario:Increasing evidence shows that conventional cardiovascular risk factors are incompletely predictive of cardiovascular disease, particularly in elderly individuals, suggesting that there may still be unidentified causal risk factors. Although the accumulation of somatic DNA mutations is a hallmark of aging, its relevance in cardiovascular disease or other age-related conditions has been, with the exception of cancer, largely unexplored. Here, we review recent clinical and preclinical studies that have identified acquired mutations in hematopoietic stem cells and subsequent clonal hematopoiesis as a new cardiovascular risk factor and a potential major driver of atherosclerosis. Understanding the mechanisms underlying the connection between somatic mutation-driven clonal hematopoiesis and cardiovascular disease will be highly relevant in the context of personalized medicine, as it may provide key information for the design of diagnostic, preventive, or therapeutic strategies tailored to the effects of specific somatic mutations.