Biological senescence risk score. A practical tool to predict biological senescence status

Authors: ORTIZ-MORALES, ANA - University Hospital Reina Sofia; ALCALA-DIAZ, JUAN - University Hospital Reina Sofia; RANGEL-ZUNIGA, ORIOL - University Hospital Reina Sofia; CORINA, ANDREEA - University Hospital Reina Sofia; QUINTANA-NAVARRO, GRACIA - University Hospital Reina Sofia; CARDELO, MAGDALENA - University Hospital Reina Sofia; YUBERO-SERRANO, ELENA - University Hospital Reina Sofia; MALAGON, MARIA - Instituto De Salud Carlos Iii; DELGADO-LISTA, JAVIER - University Hospital Reina Sofia; ORDOVAS, JOSE - Jean Mayer Human Nutrition Research Center On Aging At Tufts University; LOPEZ-MIRANDA, JOSE - University Hospital Reina Sofia; PEREZ-MARTINEZ, PABLO - University Hospital Reina Sofia

Submitted to: European Journal of Clinical Investigation
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 5/27/2020
Publication Date: 7/13/2020
Citation: Ortiz-Morales, A.M., Alcala-Diaz, J.F., Rangel-Zuniga, O.A., Corina, A., Quintana-Navarro, G., Cardelo, M.P., Yubero-Serrano, E.M., Malagon, M.M., Delgado-Lista, J., Ordovas, J.M., Lopez-Miranda, J., Perez-Martinez, P. 2020. Biological senescence risk score. A practical tool to predict biological senescence status. European Journal of Clinical Investigation. 50(11):e13305. https://doi.org/10.1111/eci.13305.
DOI: https://doi.org/10.1111/eci.13305

Interpretive Summary: Aging is a complex process that manifests within an organism at multiple levels. It is partially mediated by oxidative stress and inflammation. One of the diseases that has been associated with aging is cardiovascular disease, the leading cause of mortality in developed countries. The aim of this work conducted by investigators in Spain and at the HNRCA in Boston was to create a predictive tool to evaluate the degree of biological aging in coronary patients from the CORDIOPREV study. Models using blood biomarkers (i.e., total cholesterol, catalase, superoxide dismutase, IL-1beta, resistin, and leptin) allowed calculating the degree of biological aging in coronary patients, identifying a subgroup of patients with accelerated aging and who may require more intensive dietary and/or pharmacological treatments.

Technical Abstract: BACKGROUND: Ageing and biological senescence, both related to cardiovascular disease, are mediated by oxidative stress and inflammation. We aim to develop a predictive tool to evaluate the degree of biological senescence in coronary patients. METHODS: Relative telomere length (RTL) of 1002 coronary patients from the CORDIOPREV study (NCT00924937) was determined at baseline in addition to markers of inflammatory response (hs-C-Reactive Protein, monocyte chemoattractant protein-1, IL-6, IL-1beta, TNF-alpha, adiponectin, resistin and leptin) and oxidative stress (nitric oxide, lipid peroxidation products, carbonylated proteins, catalase, total glutathione, reduced glutathione, oxidized glutathione, superoxide dismutase and peroxidated glutathione). Biological senescence was defined using the cut-off value defined by the lower quintile of relative telomere length in our population (RTL = 0.7629). We generated and tested different predictive models based on logistic regression analysis to identify biological senescence. Three models were designed to be used with different sets of information. RESULTS: We selected those patients with all the variables proposed to develop the predictive models (n = 353). Statistically significant differences between both groups (Biological senescence vs. Nonbiological senescence) were found for total cholesterol, catalase, superoxide dismutase, IL-1beta, resistin and leptin. The area under the curve of receiver-operating characteristic to predict biological senescence for our models was 0.65, 0.75 and 0.72. CONCLUSIONS: These predictive models allow us to calculate the degree of biological senescence in coronary patients, identifying a subgroup of patients at higher risk and who may require more intensive treatment.