Autor según el artículo: Menendez J; Cuyàs E; Folguera-Blasco N; Verdura S; Martin-Castillo B; Joven J; Alarcón T
Departamento: Medicina i Cirurgia
Autor/es de la URV: Joven Maried, Jorge
Palabras clave: Senolytics Inflammation Cancer Biomathematics Aging
Resumen: Therapeutic strategies targeting the hallmarks of aging can be broadly grouped into four categories, namely systemic (blood) factors, metabolic manipulation (diet regimens and dietary restriction mimetics), suppression of cellular senescence (senolytics), and cellular reprogramming, which likely have common characteristics and mechanisms of action. In evaluating the potential synergism of combining such strategies, however, we should consider the possibility of constraining trade-off phenotypes such as impairment in wound healing and immune response, tissue dysfunction and tumorigenesis. Moreover, we are rapidly learning that the benefit/risk ratio of aging-targeted interventions largely depends on intra- and inter-individual variations of susceptibility to the healthspan-, resilience-, and/or lifespan-promoting effects of the interventions. Here, we exemplify how computationally-generated proxies of the efficacy of a given lifespan/healthspan-promoting approach can predict the impact of baseline epigenetic heterogeneity on the positive outcomes of ketogenic diet and mTOR inhibition as single or combined anti-aging strategies. We therefore propose that stochastic biomathematical modeling and computational simulation platforms should be developed as in silico strategies to accelerate the performance of clinical trials targeting human aging, and to provide personalized approaches and robust biomarkers of healthy aging at the individual-to-population levels.
Áreas temáticas: Odontología Nutrição Medicina veterinaria Medicina iii Medicina ii Medicina i Interdisciplinar Geriatrics & gerontology Ciências biológicas ii Ciências biológicas i Cell biology Biotecnología
ISSN: 19454589
Direcció de correo del autor: jorge.joven@urv.cat
Identificador del autor: 0000-0003-2749-4541
Fecha de alta del registro: 2023-02-18
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Aging-Us. 11 (16): 6591-6601
Referencia de l'ítem segons les normes APA: Menendez J; Cuyàs E; Folguera-Blasco N; Verdura S; Martin-Castillo B; Joven J; Alarcón T (2019). In silico clinical trials for anti-aging therapies. Aging-Us, 11(16), 6591-6601. DOI: 10.18632/aging.102180
DOI del artículo: 10.18632/aging.102180
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2019
Tipo de publicación: Journal Publications
Repositori URV