Expotype–phenotype resilience and multimodal aging clocks

References

[1] Hernandez H, Santamaria-Garcia H, Moguilner S, et al. The exposome of healthy and accelerated aging across 40 countries. Nat Med. 2025; 31(9): 3089–3100. https://doi.org/10.1038/s41591-025-03808-2

[2] Ibanez A, Melloni L, Swieboda P, et al. Neuroecological links of the exposome and One Health. Neuron. 2024; 112(12): 1905-1910. https://doi.org/10.1016/j.neuron.2024.04.016

[3] Migeot J, Pina-Escudero SD, Hernandez H, et al. Social exposome and brain health outcomes of dementia across Latin America. Nat Commun. 2025; 16(1): 8196. https://doi.org/10.1038/s41467-025-63277-6

[4] Legaz A, Altschuler F, Gonzalez-Gomez R, et al. Structural inequality linked to brain volume and network dynamics in aging and dementia across the Americas. Nat Aging. 2024; 5(2): 259-274. https://doi.org/10.1038/s43587-024-00781-2

[5] Coronel-Oliveros C, Migeot J, Lehue F, et al. Creative experiences and brain clocks. Nat Commun. 2025; 16(1): 8336. https://doi.org/10.1038/s41467-025-64173-9

[6] Moguilner S, Baez S, Hernandez H, et al. Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations. Nat Med. 2024; 30(12): 3646–3657. https://doi.org/10.1038/s41591-024-03209-x

[7] Coronel-Oliveros C, Moguilner S, Hernandez H, et al. Diversity-sensitive brain clocks linked to biophysical mechanisms in aging and dementia. Nat Ment Health. 2025; 3: 1214–1229. https://doi.org/10.1038/s44220-025-00502-7

[8] Wen J. Towards a multi-organ, multi-omics medical digital twin. Nat Biomed Eng. 2025; 9(9): 1386-1389. https://doi.org/10.1038/s41551-025-01474-w

[9] Amoruso L, Hernandez H, Santamaria-Garcia H, et al. Multilingualism protects against accelerated aging in cross-sectional and longitudinal analyses of 27 European countries. Nat Aging. 2025; 5(11): 2340-2354. https://doi.org/10.1038/s43587-025-01000-2

[10] Miller GW, Consortium BE. Integrating exposomics into biomedicine. Science. 2025; 388(6745): 356-358.

[11] Mahdipour M, Maleki Balajoo S, Raimondo F, et al. What predicts individual brain health?: a machine learning study spanning the exposome. 2025. https://doi.org/10.21203/rs.3.rs-6410523/v1

[12] Ibáñez A, Duran-Aniotz C, Migeot J, et al. Computational whole-body-exposome models for global precision brain health. Nat Commun. 2025; 16:11078.

[13] Ibanez A, Kringelbach ML, Deco G. A synergetic turn in cognitive neuroscience of brain diseases. Trends Cogn Sci. 2024: 28(4): 319-338. https://doi.org/10.1016/j.tics.2023.12.006

[14] Nowogrodzki J. Why Do Ageing Rates Vary by Country? Massive Study Says Politics Play a Part. Nature Publishing Group; 2025.

[15] Time for the exposome to shape policy. Nat Med. 2025; 31(9): 2823-2823. https://doi.org/10.1038/s41591-025-03990-3

[16] Ibanez A. The mind's golden cage and cognition in the wild. Trends Cogn Sci. 2022; 26(12): 1031-1034. https://doi.org/10.1016/j.tics.2022.07.008

[17] Udeh-Momoh CT, Migeot J, Blackmon K, et al. Resilience and brain health in global populations. Nat Med. 2025; 31(8): 2518-2531. https://doi.org/10.1038/s41591-025-03846-w

[18] Arboleda-Velasquez JF, Lopera F, O'Hare M, et al. Resistance to autosomal dominant Alzheimer's disease in an APOE3 Christchurch homozygote: a case report. Nat Med. 2019; 25(11): 1680-1683. https://doi.org/10.1038/s41591-019-0611-3

[19] Mehta RI, Schneider JA. What is ‘Alzheimer's disease’? The neuropathological heterogeneity of clinically defined Alzheimer's dementia. Curr Opin Neurol. 2021; 34(2): 237-245. https://doi.org/10.1097/wco.0000000000000912

[20] Abellaneda-Pérez K, Cattaneo G, Cabello-Toscano M, et al. Purpose in life promotes resilience to age-related brain burden in middle-aged adults. Alzheimers Res Ther. 2023; 15(1): 49. https://doi.org/10.1186/s13195-023-01198-6

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