The Aging Imageomics Study: rationale, design and baseline characteristics of the study population

Josep Puig; Carles Biarnes; Salvador Pedraza; Joan C. Vilanova; Reinald Pamplona; José Manuel Fernández-Real; Ramon Brugada; Rafel Ramos; Gabriel Coll-de-Tuero; Laia Calvo-Perxas; Joaquin Serena; Lluís Ramió-Torrentà; Jordi Gich; Lluis Gallart; Manel Portero-Otin; Angel Alberich-Bayarri; Ana Jimenez-Pastor; Eduardo Camacho-Ramos; Jordi Mayneris-Perxachs; Victor Pineda; Raquel Font; Anna Prats-Puig; Mariano Luis Gacto; Gustavo Deco; Anira Escrichs; Bonaventura Clotet; Roger Paredes; Eugenia Negredo; Bruno Triaire; Manuel Rodríguez; Alberto Heredia-Escámez; Rafael Coronado; Wolter de Graaf; Valentin Prevost; Anca Mitulescu; Pepus Daunis-i-Estadella; Santiago Thió-Henestrosa; Felip Miralles; Vicent Ribas-Ripoll; Manel Puig-Domingo; Marco Essig; Chase R. Figley; Teresa D. Figley; Benedict Albensi; Ahmed Ashraf; Johan H.C. Reiber; Giovanni Schifitto; Uddin Md Nasir; Carlos Leiva-Salinas; Max Wintermark; Kambiz Nael; Joan Vilalta-Franch; Jordi Barretina; Josep Garre-Olmo

doi:10.1016/j.mad.2020.111257

The Aging Imageomics Study: rationale, design and baseline characteristics of the study population

Josep Puig, Carles Biarnes, Salvador Pedraza, Joan C. Vilanova, Reinald Pamplona, José Manuel Fernández-Real, Ramon Brugada, Rafel Ramos, Gabriel Coll-de-Tuero, Laia Calvo-Perxas, Joaquin Serena, Lluís Ramió-Torrentà, Jordi Gich, Lluis Gallart, Manel Portero-Otin, Angel Alberich-Bayarri, Ana Jimenez-Pastor, Eduardo Camacho-Ramos, Jordi Mayneris-Perxachs, Victor PinedaRaquel Font, Anna Prats-Puig, Mariano Luis Gacto, Gustavo Deco, Anira Escrichs, Bonaventura Clotet, Roger Paredes, Eugenia Negredo, Bruno Triaire, Manuel Rodríguez, Alberto Heredia-Escámez, Rafael Coronado, Wolter de Graaf, Valentin Prevost, Anca Mitulescu, Pepus Daunis-i-Estadella, Santiago Thió-Henestrosa, Felip Miralles, Vicent Ribas-Ripoll, Manel Puig-Domingo, Marco Essig, Chase R. Figley, Teresa D. Figley, Benedict Albensi, Ahmed Ashraf, Johan H.C. Reiber, Giovanni Schifitto, Uddin Md Nasir, Carlos Leiva-Salinas, Max Wintermark, Kambiz Nael, Joan Vilalta-Franch, Jordi Barretina, Josep Garre-Olmo

Medical Imaging

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

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.

Original language	English (US)
Article number	111257
Journal	Mechanisms of Ageing and Development
Volume	189
DOIs	https://doi.org/10.1016/j.mad.2020.111257
State	Published - Jul 2020

Keywords

aging
big data analyses
biomarkers
population-based study
radiomics
whole-body magnetic resonance imaging

ASJC Scopus subject areas

Aging
Developmental Biology

Access to Document

10.1016/j.mad.2020.111257

Cite this

Puig, J., Biarnes, C., Pedraza, S., Vilanova, J. C., Pamplona, R., Fernández-Real, J. M., Brugada, R., Ramos, R., Coll-de-Tuero, G., Calvo-Perxas, L., Serena, J., Ramió-Torrentà, L., Gich, J., Gallart, L., Portero-Otin, M., Alberich-Bayarri, A., Jimenez-Pastor, A., Camacho-Ramos, E., Mayneris-Perxachs, J., ... Garre-Olmo, J. (2020). The Aging Imageomics Study: rationale, design and baseline characteristics of the study population. Mechanisms of Ageing and Development, 189, Article 111257. https://doi.org/10.1016/j.mad.2020.111257

Puig, J, Biarnes, C, Pedraza, S, Vilanova, JC, Pamplona, R, Fernández-Real, JM, Brugada, R, Ramos, R, Coll-de-Tuero, G, Calvo-Perxas, L, Serena, J, Ramió-Torrentà, L, Gich, J, Gallart, L, Portero-Otin, M, Alberich-Bayarri, A, Jimenez-Pastor, A, Camacho-Ramos, E, Mayneris-Perxachs, J, Pineda, V, Font, R, Prats-Puig, A, Gacto, ML, Deco, G, Escrichs, A, Clotet, B, Paredes, R, Negredo, E, Triaire, B, Rodríguez, M, Heredia-Escámez, A, Coronado, R, de Graaf, W, Prevost, V, Mitulescu, A, Daunis-i-Estadella, P, Thió-Henestrosa, S, Miralles, F, Ribas-Ripoll, V, Puig-Domingo, M, Essig, M, Figley, CR, Figley, TD, Albensi, B, Ashraf, A, Reiber, JHC, Schifitto, G, Md Nasir, U, Leiva-Salinas, C, Wintermark, M, Nael, K, Vilalta-Franch, J, Barretina, J & Garre-Olmo, J 2020, 'The Aging Imageomics Study: rationale, design and baseline characteristics of the study population', Mechanisms of Ageing and Development, vol. 189, 111257. https://doi.org/10.1016/j.mad.2020.111257

@article{c4037835d60742f4898f5a1c6f904703,

title = "The Aging Imageomics Study: rationale, design and baseline characteristics of the study population",

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.",

keywords = "aging, big data analyses, biomarkers, population-based study, radiomics, whole-body magnetic resonance imaging",

author = "Josep Puig and Carles Biarnes and Salvador Pedraza and Vilanova, {Joan C.} and Reinald Pamplona and Fern{\'a}ndez-Real, {Jos{\'e} Manuel} and Ramon Brugada and Rafel Ramos and Gabriel Coll-de-Tuero and Laia Calvo-Perxas and Joaquin Serena and Llu{\'i}s Rami{\'o}-Torrent{\`a} and Jordi Gich and Lluis Gallart and Manel Portero-Otin and Angel Alberich-Bayarri and Ana Jimenez-Pastor and Eduardo Camacho-Ramos and Jordi Mayneris-Perxachs and Victor Pineda and Raquel Font and Anna Prats-Puig and Gacto, {Mariano Luis} and Gustavo Deco and Anira Escrichs and Bonaventura Clotet and Roger Paredes and Eugenia Negredo and Bruno Triaire and Manuel Rodr{\'i}guez and Alberto Heredia-Esc{\'a}mez and Rafael Coronado and {de Graaf}, Wolter and Valentin Prevost and Anca Mitulescu and Pepus Daunis-i-Estadella and Santiago Thi{\'o}-Henestrosa and Felip Miralles and Vicent Ribas-Ripoll and Manel Puig-Domingo and Marco Essig and Figley, {Chase R.} and Figley, {Teresa D.} and Benedict Albensi and Ahmed Ashraf and Reiber, {Johan H.C.} and Giovanni Schifitto and {Md Nasir}, Uddin and Carlos Leiva-Salinas and Max Wintermark and Kambiz Nael and Joan Vilalta-Franch and Jordi Barretina and Josep Garre-Olmo",

note = "Funding Information: The Aging Imageomics Study has been funded by Pla Estrat{\`e}gic de Recerca i Innovaci{\'o} en Salut (PERIS) 2016-2020 from the Department of Health, Generalitat of Catalonia (file number, SLT002/16/00250 ); and the study-dedicated 1.5T MRI scanner and ancillary MRI equipment was provided by Toshiba Medical Systems (now Canon Medical Systems). The study was partially funded by 'La Caixa Foundation . We would like to express our sincere gratitude to the Aging Imageomics Study participants for their valuable contribution. We also thank the study staff for data collection and study coordination. Albert Einstein College of Medicine owns the copyright for the Memory Binding Test and makes it available as a service to the research community but charges for commercial use (for permission requests contact the AECOM at: biotech@einstein.yu.edu); the Spanish and Catalan adaptations used were provided by the BarcelonaBeta Brain Research Center and the Pasqual Maragall Foundation with the AECOM{\textquoteright}s permission. For further information about these versions, contact Nina Gramunt at: ngramunt@pmaragall.org. Funding Information: The Aging Imageomics Study has been funded by Pla Estrat?gic de Recerca i Innovaci? en Salut (PERIS) 2016-2020 from the Department of Health, Generalitat of Catalonia (file number, SLT002/16/00250); and the study-dedicated 1.5T MRI scanner and ancillary MRI equipment was provided by Toshiba Medical Systems (now Canon Medical Systems). The study was partially funded by 'La Caixa Foundation. We would like to express our sincere gratitude to the Aging Imageomics Study participants for their valuable contribution. We also thank the study staff for data collection and study coordination. Albert Einstein College of Medicine owns the copyright for the Memory Binding Test and makes it available as a service to the research community but charges for commercial use (for permission requests contact the AECOM at: biotech@einstein.yu.edu); the Spanish and Catalan adaptations used were provided by the BarcelonaBeta Brain Research Center and the Pasqual Maragall Foundation with the AECOM's permission. For further information about these versions, contact Nina Gramunt at: ngramunt@pmaragall.org. Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.",

year = "2020",

month = jul,

doi = "10.1016/j.mad.2020.111257",

language = "English (US)",

volume = "189",

journal = "Mechanisms of Ageing and Development",

issn = "0047-6374",

publisher = "Elsevier Ireland Ltd",

}

TY - JOUR

T1 - The Aging Imageomics Study

T2 - rationale, design and baseline characteristics of the study population

AU - Puig, Josep

AU - Biarnes, Carles

AU - Pedraza, Salvador

AU - Vilanova, Joan C.

AU - Pamplona, Reinald

AU - Fernández-Real, José Manuel

AU - Brugada, Ramon

AU - Ramos, Rafel

AU - Coll-de-Tuero, Gabriel

AU - Calvo-Perxas, Laia

AU - Serena, Joaquin

AU - Ramió-Torrentà, Lluís

AU - Gich, Jordi

AU - Gallart, Lluis

AU - Portero-Otin, Manel

AU - Alberich-Bayarri, Angel

AU - Jimenez-Pastor, Ana

AU - Camacho-Ramos, Eduardo

AU - Mayneris-Perxachs, Jordi

AU - Pineda, Victor

AU - Font, Raquel

AU - Prats-Puig, Anna

AU - Gacto, Mariano Luis

AU - Deco, Gustavo

AU - Escrichs, Anira

AU - Clotet, Bonaventura

AU - Paredes, Roger

AU - Negredo, Eugenia

AU - Triaire, Bruno

AU - Rodríguez, Manuel

AU - Heredia-Escámez, Alberto

AU - Coronado, Rafael

AU - de Graaf, Wolter

AU - Prevost, Valentin

AU - Mitulescu, Anca

AU - Daunis-i-Estadella, Pepus

AU - Thió-Henestrosa, Santiago

AU - Miralles, Felip

AU - Ribas-Ripoll, Vicent

AU - Puig-Domingo, Manel

AU - Essig, Marco

AU - Figley, Chase R.

AU - Figley, Teresa D.

AU - Albensi, Benedict

AU - Ashraf, Ahmed

AU - Reiber, Johan H.C.

AU - Schifitto, Giovanni

AU - Md Nasir, Uddin

AU - Leiva-Salinas, Carlos

AU - Wintermark, Max

AU - Nael, Kambiz

AU - Vilalta-Franch, Joan

AU - Barretina, Jordi

AU - Garre-Olmo, Josep

N1 - Funding Information: The Aging Imageomics Study has been funded by Pla Estratègic de Recerca i Innovació en Salut (PERIS) 2016-2020 from the Department of Health, Generalitat of Catalonia (file number, SLT002/16/00250 ); and the study-dedicated 1.5T MRI scanner and ancillary MRI equipment was provided by Toshiba Medical Systems (now Canon Medical Systems). The study was partially funded by 'La Caixa Foundation . We would like to express our sincere gratitude to the Aging Imageomics Study participants for their valuable contribution. We also thank the study staff for data collection and study coordination. Albert Einstein College of Medicine owns the copyright for the Memory Binding Test and makes it available as a service to the research community but charges for commercial use (for permission requests contact the AECOM at: biotech@einstein.yu.edu); the Spanish and Catalan adaptations used were provided by the BarcelonaBeta Brain Research Center and the Pasqual Maragall Foundation with the AECOM’s permission. For further information about these versions, contact Nina Gramunt at: ngramunt@pmaragall.org. Funding Information: The Aging Imageomics Study has been funded by Pla Estrat?gic de Recerca i Innovaci? en Salut (PERIS) 2016-2020 from the Department of Health, Generalitat of Catalonia (file number, SLT002/16/00250); and the study-dedicated 1.5T MRI scanner and ancillary MRI equipment was provided by Toshiba Medical Systems (now Canon Medical Systems). The study was partially funded by 'La Caixa Foundation. We would like to express our sincere gratitude to the Aging Imageomics Study participants for their valuable contribution. We also thank the study staff for data collection and study coordination. Albert Einstein College of Medicine owns the copyright for the Memory Binding Test and makes it available as a service to the research community but charges for commercial use (for permission requests contact the AECOM at: biotech@einstein.yu.edu); the Spanish and Catalan adaptations used were provided by the BarcelonaBeta Brain Research Center and the Pasqual Maragall Foundation with the AECOM's permission. For further information about these versions, contact Nina Gramunt at: ngramunt@pmaragall.org. Publisher Copyright: © 2020 Elsevier B.V.

PY - 2020/7

Y1 - 2020/7

N2 - 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.

AB - 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.

KW - aging

KW - big data analyses

KW - biomarkers

KW - population-based study

KW - radiomics

KW - whole-body magnetic resonance imaging

UR - http://www.scopus.com/inward/record.url?scp=85085759717&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85085759717&partnerID=8YFLogxK

U2 - 10.1016/j.mad.2020.111257

DO - 10.1016/j.mad.2020.111257

M3 - Article

C2 - 32437737

AN - SCOPUS:85085759717

SN - 0047-6374

VL - 189

JO - Mechanisms of Ageing and Development

JF - Mechanisms of Ageing and Development

M1 - 111257

ER -

The Aging Imageomics Study: rationale, design and baseline characteristics of the study population

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this