TY - UNPB
T1 - Associations of proteomic age with mortality and incident chronic diseases in the European Prospective Investigation into Cancer and Nutrition (EPIC)
AU - Robinson, Oliver
AU - Xiao, Han
AU - Homann, Jan
AU - Viallon, Vivian
AU - Ferrari, Pietro
AU - Huerta, José M
AU - Zabala, Ana Jiménez
AU - Kaaks, Rudolf
AU - Katzke, Verena A
AU - Langenberg, Claudia
AU - Lau, ChungHo E
AU - Middleton, Lefkos
AU - Onland-Moret, N Charlotte
AU - Panico, Salvatore
AU - Prizment, Anna
AU - Ricceri, Fulvio
AU - Sánchez, María-José
AU - Byrne, Karl Smith
AU - Vineis, Paolo
AU - Verschuren, W Monique
AU - Vermeulen, Roel
AU - Wang, Shuo
AU - Wareham, Nick
AU - Lill, Christina M
AU - Riboli, Elio
AU - Gunter, Marc J
PY - 2025/7/15
Y1 - 2025/7/15
N2 - Assessment of biological ageing using proteomic clocks may enhance risk prediction and elucidate the molecular links between ageing and chronic diseases. Within a pre-diagnostic cohort of 17,473 Europeans with up to 28 years of follow-up, we examined associations of plasma SomaScan-based proteomic clocks, including organ-specific clocks, with 24 incident chronic diseases, all-cause mortality, and lifestyle risk factors. Global proteomic age gap (a composite biological age acceleration score combining previously published clocks) showed the strongest positive association of all tested clocks with all-cause mortality. Accelerated proteomic ageing was significantly associated with smoking, alcohol consumption, physical inactivity, and higher risk of cardiovascular diseases, dementia, and liver, upper aero-digestive tract, lung, and kidney cancers. Some organ-specific cancers were more strongly associated with their respective organ-specific age gaps. Mortality prediction by proteomic clocks was comparable in performance to classical lifestyle risk factors. In summary, proteomic clocks appear promising biomarkers of generalized age-related disease risk.
AB - Assessment of biological ageing using proteomic clocks may enhance risk prediction and elucidate the molecular links between ageing and chronic diseases. Within a pre-diagnostic cohort of 17,473 Europeans with up to 28 years of follow-up, we examined associations of plasma SomaScan-based proteomic clocks, including organ-specific clocks, with 24 incident chronic diseases, all-cause mortality, and lifestyle risk factors. Global proteomic age gap (a composite biological age acceleration score combining previously published clocks) showed the strongest positive association of all tested clocks with all-cause mortality. Accelerated proteomic ageing was significantly associated with smoking, alcohol consumption, physical inactivity, and higher risk of cardiovascular diseases, dementia, and liver, upper aero-digestive tract, lung, and kidney cancers. Some organ-specific cancers were more strongly associated with their respective organ-specific age gaps. Mortality prediction by proteomic clocks was comparable in performance to classical lifestyle risk factors. In summary, proteomic clocks appear promising biomarkers of generalized age-related disease risk.
U2 - 10.21203/rs.3.rs-7087230/v1
DO - 10.21203/rs.3.rs-7087230/v1
M3 - Preprint
C2 - 40709259
BT - Associations of proteomic age with mortality and incident chronic diseases in the European Prospective Investigation into Cancer and Nutrition (EPIC)
PB - Research Square
ER -