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Promising biomarkers of human aging: In search of a multi-omics panel to understand the aging process from a multidimensional perspective

dc.rights.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0es_MX
dc.creatorNADIA ALEJANDRA RIVERO SEGURAes_MX
dc.creatorOMAR YAXMEHEN BELLO CHAVOLLAes_MX
dc.creatorOSCAR SALVADOR BARRERA VAZQUEZes_MX
dc.creatorLUIS MIGUEL FRANCISCO GUTIERREZ ROBLEDOes_MX
dc.creatorJUAN CARLOS GOMEZ VERJANes_MX
dc.date2020
dc.date.accessioned2021-08-23T21:44:15Z
dc.date.available2021-08-23T21:44:15Z
dc.identifier.urihttp://repositorio.inger.gob.mx/jspui/handle/20.500.12100/17216
dc.descriptionThe aging process has been linked to the occurrence of chronic diseases and functional impairments, including cancer, sarcopenia, frailty, metabolic, cardiovascular, and neurodegenerative diseases. Nonetheless, aging is highly variable and heterogeneous and represents a challenge for its characterization. In this sense, intrinsic capacity (IC) stands as a novel perspective by the World Health Organization, which integrates the individual wellbeing, environment, and risk factors to understand aging. However, there is a lack of quantitative and qualitative attributes to define it objectively. Therefore, in this review we attempt to summarize the most relevant and promising biomarkers described in clinical studies at date over different molecular levels, including epigenomics, transcriptomics, proteomics, metabolomics, and the microbiome. To aid gerontologists, geriatricians, and biomedical researchers to understand the aging process through the IC. Aging biomarkers reflect the physiological state of individuals and the underlying mechanisms related to homeostatic changes throughout an individual lifespan; they demonstrated that aging could be measured independently of time (that may explain its heterogeneity) and to be helpful to predict age-related syndromes and mortality. In summary, we highlight the areas of opportunity and gaps of knowledge that must be addressed to fully integrate biomedical findings into clinically useful tools and interventions.es_MX
dc.formatAdobe PDFes_MX
dc.languageenges_MX
dc.publisherElsevieres_MX
dc.relationhttps://www.sciencedirect.com/science/article/pii/S1568163720302993?via%3Dihub#!es_MX
dc.relation.requiresSies_MX
dc.rightsAcceso Abiertoes_MX
dc.sourceAgeing Research Reviews (1568-1637) Vol. 64 (2020)es_MX
dc.subjectMEDICINA Y CIENCIAS DE LA SALUDes_MX
dc.subjectCiencias médicases_MX
dc.subjectCiencias clínicases_MX
dc.subjectGeriatríaes_MX
dc.subjectEnvejecimientoes_MX
dc.subjectFactores biológicoses_MX
dc.subjectBiomarcadoreses_MX
dc.subjectEdad cronológicaes_MX
dc.subjectEdad biológicaes_MX
dc.subjectGeriatricses_MX
dc.subjectAginges_MX
dc.subjectBiological factorses_MX
dc.subjectBiomarkerses_MX
dc.subjectChornological agees_MX
dc.subjectBiological agees_MX
dc.titlePromising biomarkers of human aging: In search of a multi-omics panel to understand the aging process from a multidimensional perspectivees_MX
dc.typePreimpresoes_MX
dc.audienceResearcherses_MX
dc.creator.idRISN910121MDFVGD02es_MX
dc.creator.idBECO920925HDFLHM05es_MX
dc.creator.idBAVO891106HGRRZS02es_MX
dc.creator.idGURL571005HDFTBS14es_MX
dc.creator.idGOVJ850305HDFMRN07es_MX
dc.creator.nameIdentifiercurpes_MX
dc.creator.nameIdentifiercurpes_MX
dc.creator.nameIdentifiercurpes_MX
dc.creator.nameIdentifiercurpes_MX
dc.creator.nameIdentifiercurpes_MX


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