
pmid: 32130928
handle: 10651/55074 , 20.500.12105/9367 , 10486/692538
Aging is the main risk factor for vascular disease and ensuing cardiovascular and cerebrovascular events, the leading causes of death worldwide. In a progressively aging population, it is essential to develop early-life biomarkers that efficiently identify individuals who are at high risk of developing accelerated vascular damage, with the ultimate goal of improving primary prevention and reducing the health care and socioeconomic impact of age-related cardiovascular disease. Studies in experimental models and humans have identified 9 highly interconnected hallmark processes driving mammalian aging. However, strategies to extend health span and life span require understanding of interindividual differences in age-dependent functional decline, known as biological aging. This review summarizes the current knowledge on biological age biomarkers, factors influencing biological aging, and antiaging interventions, with a focus on vascular aspects of the aging process and its cardiovascular disease related manifestations
The CNIC is supported by the MCNU, the ISCIII, and the Pro CNIC Foundation and is a Severo Ochoa Center of Excellence (SEV-2015-0505). Work in Dr. Andrés’ laboratory is supported by the Spanish Ministerio de Ciencia, Innovación y Universidades (MCNU) (SAF2016- 79490-R) and the Instituto de Salud Carlos III (ISCIII) (AC16/00091, AC17/00067, and CB16/11/00405) with cofunding from the European Regional Development Fund (ERDF/FEDER, “Una manera de hacer Europa”) and the Fundació Marató TV3 (122/C/2015)
chronological age, Aging, Medicina, Animals, Blood Vessels, Humans, vascular disease, antiaging therapy, biological age biomarkers, Biomarkers, biological age
chronological age, Aging, Medicina, Animals, Blood Vessels, Humans, vascular disease, antiaging therapy, biological age biomarkers, Biomarkers, biological age
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
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