Development and validation of cardiometabolic risk predictive models based on LDL oxidation and candidate geromarkers from the MARK-AGE data
Year: 2024
Type: article
Abstract: The predictive value of the susceptibility to oxidation of LDL particles (LDLox) in cardiometabolic risk assessment is incompletely understood. The main objective of the current study was to assess its relationship with other relevant biomarkers and cardiometabolic risk factors from MARK-AGE data. A cross-sectional observational study was carried out on 1089 subjects (528 men and 561 women), aged 40-75 years old, randomly recruited age- and sex-stratified individuals from the general population. A correlation analysis exploring the relationships between LDLox and relevant biomarkers was undertaken, as well as the development and validation of several machine learning algorithms, for estimating the risk of the combined status of high blood pressure and obesity for the MARK-AGE subjects. The machine learning models yielded Area Under the Receiver Operating Characteristic Curve Score ranging 0.783-0.839 for the internal validation, while the external validation resulted in an Under the Receiver Operating Characteristic Curve Score between 0.648 and 0.787, with the variables based on LDLox reaching significant importance within the obtained predictions. The current study offers novel insights regarding the combined effects of LDL oxidation and other ageing markers on cardiometabolic risk. Future studies might be extended on larger patient cohorts, in order to obtain reproducible clinical assessment models.
Authors: Andrei Valeanu, Denisa Margina, Daniela Weber, Wolfgang Stuetz, María Moreno-Villanueva, Martijn E.T. Dollé, Eugène HJM Jansen, Efstathios S. Gonos, Jürgen Bernhardt, Beatrix Grubeck-Loebenstein, Birgit Weinberger, Simone Fiegl, Ewa Sikora, Grazyna Mosieniak, Olivier Toussaint, Florence Debacq-Chainiaux, Miriam Capri, Paolo Garagnani, Chiara Pirazzini, Maria Giulia Bacalini, Antti Hervonen, P. Eline Slagboom, Duncan Talbot, Nicolle Breusing, Jan Frank, Alexander Bürkle, Claudio Franceschi, Tilman Grune, Daniela Gradinaru
Institutions: Carol Davila University of Medicine and Pharmacy, German Institute of Human Nutrition, University of Hohenheim, University of Konstanz, National Institute for Public Health and the Environment, National Hellenic Research Foundation, BioTeSys (Germany), Universität Innsbruck, UMIT TIROL - Private University for Health Sciences and Health Technology, Instytut Biologii Doświadczalnej im. Marcelego Nenckiego, Polish Academy of Sciences, University of Namur, Namur Research Institute for Life Sciences, University of Bologna, Istituto delle Scienze Neurologiche di Bologna, University of Tampere, Leiden University, Leiden University Medical Center, Unilever (United Kingdom), N. I. Lobachevsky State University of Nizhny Novgorod, University of Vienna, University of Potsdam, German Centre for Cardiovascular Research, German Center for Diabetes Research
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,100
Funder: European Commission
OpenAlex ID: W4402535474