Publications

Bahr, V., Schmid, H., Vetter, V. M., Spira, D., Drewelies, J., Regitz-Zagrosek, V., Gerstorf, D., Düzel, S., Mai, K., & Demuth, I. (2026). Cross-sectional and longitudinal associations between testosterone and cognitive performance in older people: Results of the Berlin Aging Study II (BASE-II). The Journals of Gerontology: A, Biological Sciences and Medical Sciences, 81(3), Article glaf286. https://doi.org/10.1093/gerona/glaf286

Müller, L., & Di Benedetto, S. (2026). Network rewiring in the aging immune system: From chronic inflammation to age-related pathologies. Cells, 15(5), Article 414. https://doi.org/10.3390/cells15050414

Müller, L., Di Benedetto, S., & Müller, V. (in press). Nutrition as a systems regulator of brain aging trajectories. Frontiers in Molecular Neuroscience.

Vetter, V. M., Drewelies, J., Homann, J., Düzel, S., Deecke, L., Jawinski, P., Kühn, S., Kubala, E., Markett, S., Mülleder, M., Ralser, M., Lindenberger, U., Lill, C. M., Gerstorf, D., Bertram, L., & Demuth, I. (2026). Comprehensive cross-sectional and longitudinal comparison of sixteen markers of biological aging from the Berlin Aging Study II. Communications Medicine, 6, Article 168. https://doi.org/10.1038/s43856-025-01233-7

Wettstein, M., Drewelies, J., Kornadt, A. E., Düzel, S., Lindenberger, U., Demuth, I., Hoppmann, C. A., Ram, N., & Gerstorf, D. (2026). Subjective age in proximal and distal contexts: Both momentary pain and long-term trajectories of physical health shape daily dynamics of subjective age. Psychology and Aging, 41(1), 85–103. https://doi.org/10.1037/pag0000944

Deecke, L., Ohlei, O., Goldeck, D., Homann, J., Toepfer, S., Demuth, I., Bertram, L., Pawelec, G., & Lill, C. M. (2025). Peripheral immune profiles in individuals at genetic risk of amyotrophic lateral sclerosis and Alzheimer's disease. Cells, 14(4), Article 250. https://doi.org/10.3390/cells14040250

Demuth, I., Vetter, V. M., Homann, J., Junge, M. P., Regitz-Zagrosek, V., Gerstorf, D., Lill, C. M., & Bertram, L. (2025). DunedinPACE predicts incident metabolic syndrome: Cross-sectional and longitudinal data from the Berlin Aging Study II. The Journals of Gerontology: A, Biological Sciences and Medical Sciences, 80, Article glaf157, 9. https://doi.org/10.1093/gerona/glaf157

Didier, J., De Landtsheer, S., Pires Pacheco, M., Kishk, A., Schneider, J. G., Goldeck, D., Pawelec, G., Spira, D., Demuth, I., & Sauter, T. (2025). Clinical data-driven classification of pre-frailty reveals sex-specific patterns: Data from the Berlin Aging Study II (BASE-II). Mechanisms of Ageing and Development, 228, Article 112114. https://doi.org/10.1016/j.mad.2025.112114

Dordevic, N., Dierks, C., Hantikainen, E., Farztdinov, V., Amari, F., Verri Hernandes, V., De Grandi, A., Domingues, F. S., Shomroni, O., Textoris-Taube, K., Bahr, V., Schmid, H., Demuth, I., Kurth, F., Mülleder, M., Pramstaller, P. P., Rainer, J., & Ralser, M. (2025). Extensive modulation of the circulating blood proteome by hormonal contraceptive use across two population studies. Communications Medicine, 5, Article 131. https://doi.org/10.1038/s43856-025-00856-0

Drewelies, J., Homann, J., Vetter, V. M., Duezel, S., Kühn, S., Deecke, L., Steinhagen-Thiessen, E., Jawinski, P., Markett, S., Lindenberger, U., Lill, C. M., Bertram, L., Demuth, I., & Gerstorf, D. (2025). There are multiple clocks that time us: Cross-sectional and longitudinal associations among 14 alternative indicators of age and aging. The Journals of Gerontology: A, Biological Sciences and Medical Sciences, 80(6), Article glae244. https://doi.org/10.1093/gerona/glae244

Fjell, A. M., Rogeberg, O., Sørensen, Ø., Amlien, I. K., Bartrés-Faz, D., Brandmaier, A. M., Cattaneo, G., Düzel, S., Grydeland, H., Henson, R. N., Kühn, S., Lindenberger, U., Lyngstad, T. H., Mowinckel, A. M., Nyberg, L., Pascual-Leone, A., Solé-Padullés, C., Sneve, M. H., Solana, J., Strømstad, M., Watne, L. O., Walhovd, K. B., & Vidal-Piñeiro, D. (2025). Reevaluating the role of education on cognitive decline and brain aging in longitudinal cohorts across 33 Western countries. Nature Medicine, 31, 2967–2976. https://doi.org/10.1038/s41591-025-03828-y

König, M., Malsch, C., Mariño, J., Vetter, V. M., Komleva, Y., Demuth, I., & Steinhagen‑Thiessen, E. (2025). Nocturia as a clinical marker of loss of function and resilience or risk factor for frailty in older adults? Results of the Berlin Aging Study II. GeroScience, 47, 4139–4151. https://doi.org/10.1007/s11357-025-01525-9

Müller, L., & Di Benedetto, S. (2025). Neuroimmune crosstalk in chronic neuroinflammation: Microglial interactions and immune modulation. Frontiers in Cellular Neuroscience, 19, Article 1575022. https://doi.org/10.3389/fncel.2025.1575022

Müller, L., & Di Benedetto, S. (2025). Bridging the brain and gut: Neuroimmune mechanisms of neuroinflammation and therapeutic insights. Frontiers in Cellular Neuroscience, 19, Article 1590002. https://doi.org/10.3389/fncel.2025.1590002

Müller, L., & Di Benedetto, S. (2025). Immunosenescence and inflammaging: Mechanisms and modulation through diet and lifestyle. Frontiers in Immunology, 16, Article 1708280. https://doi.org/10.3389/fimmu.2025.1708280

Müller, L., Di Benedetto, S., & Müller, V. (2025). From homeostasis to neuroinflammation: Insights into cellular and molecular interactions and network dynamics. Cells, 14(1), Article 54. https://doi.org/10.3390/cells14010054

Müller, L., Di Benedetto, S., & Müller, V. (2025). The dual nature of neuroinflammation in networked brain. Frontiers in Immunology, 16, Article 1659947. https://doi.org/10.3389/fimmu.2025.1659947

Müller, L., Di Benedetto, S., & Müller, V. (2025). Influence of biological sex on neuroinflammatory dynamics in the aging brain. Frontiers in Aging Neuroscience, 17, Article 1670175. https://doi.org/10.3389/fnagi.2025.1670175

Müller, L., Di Benedetto, S., & Müller, V. (2025). Neuroimmune dynamics and brain aging: Mechanisms and consequences. Frontiers in Aging Neuroscience, 17, Article 1715045. https://doi.org/10.3389/fnagi.2025.1715045

Plini, E. R. G., Melnychuk, M. C., & Dockree, P. M. (2025). Meditation linked to enhanced MRI signal intensity in the pineal gland and reduced predicted brain age. Journal of Pineal Research, 77(2), Article e70033. https://doi.org/10.1111/jpi.70033