The Aging Imageomics Study: rationale, design and baseline characteristics of the study population. (July 2020)

• Record Type: Journal Article
• Authors: Puig, Josep; Biarnes, Carles; Pedraza, Salvador; Vilanova, Joan C.; Pamplona, Reinald; Fernández-Real, José Manuel; Brugada, Ramon; Ramos, Rafel; Coll-de-Tuero, Gabriel; Calvo-Perxas, Laia; Serena, Joaquin; Ramió-Torrentà, Lluís; Gich, Jordi; Gallart, Lluis; Portero-Otin, Manel; Alberich-Bayarri, Angel; Jimenez-Pastor, Ana; Camacho-Ramos, Eduardo; Mayneris-Perxachs, Jordi; Pineda, Victor; Font, Raquel; Prats-Puig, Anna; Gacto, Mariano-Luis; Deco, Gustavo; Escrichs, Anira; Clotet, Bonaventura; Paredes, Roger; Negredo, Eugenia; Triaire, Bruno; Rodríguez, Manuel; Heredia-Escámez, Alberto; Coronado, Rafael; de Graaf, Wolter; Prevost, Valentin; Mitulescu, Anca; Daunis-i-Estadella, Pepus; Thió-Henestrosa, Santiago; Miralles, Felip; Ribas-Ripoll, Vicent; Puig-Domingo, Manel; Essig, Marco; Figley, Chase R.; Figley, Teresa D.; Albensi, Benedict; Ashraf, Ahmed; Reiber, Johan H.C.; Schifitto, Giovanni; Md Nasir, Uddin; Leiva-Salinas, Carlos; Wintermark, Max; Nael, Kambiz; Vilalta-Franch, Joan; Barretina, Jordi; Garre-Olmo, Josep;
• Is Part Of: Mechanisms of ageing and development. Volume 189(2020)
• Publication Date: 2020-07
• Subjects: aging -- biomarkers -- radiomics -- whole-body magnetic resonance imaging -- population-based study -- big data analyses; Aging -- Periodicals; Developmental biology -- Periodicals; Aging -- Periodicals; Developmental Biology -- Periodicals; Vieillissement -- Périodiques; Biologie du développement -- Périodiques; Aging; Developmental biology; Periodicals; 612.67
• DOI: 10.1016/j.mad.2020.111257
• Languages: English
• ISSNs: 0047-6374

Abstract

Highlights: This population-based study aims to identify biomarkers of aging. Structural and functional whole-body MRI was used to evaluate multiple parameters. Ultrasonography was used to determine carotid stenosis. Data will be analyzed with cross-sectional approach. Abstract: Biomarkers of aging are urgently needed to identify individuals at high risk of developing age-associated disease or disability. Growing evidence from population-based studies points to whole-body magnetic resonance imaging's (MRI) enormous potential for quantifying subclinical disease burden and for assessing changes that occur with aging in all organ systems. The Aging Imageomics Study aims to identify biomarkers of human aging by analyzing imaging, biopsychosocial, cardiovascular, metabolomic, lipidomic, and microbiome variables. This study recruited 1030 participants aged ≥50 years (mean 67, range 50–96 years) that underwent structural and functional MRI to evaluate the brain, large blood vessels, heart, abdominal organs, fat, spine, musculoskeletal system and ultrasonography to assess carotid intima-media thickness and plaques. Patients were notified of incidental findings detected by a certified radiologist when necessary. Extensive data were also collected on anthropometrics, demographics, health history, neuropsychology, employment, income, family status, exposure to air pollution and cardiovascular status. In addition, several types of samples were gathered to allow for microbiome, metabolomic and lipidomic profiling. Using big data techniques to analyze all the data points from biological phenotyping together with health records and lifestyle measures, we aim to cultivate a deeper understanding about various biological factors (and combinations thereof) that underlie healthy and unhealthy aging.