Post-infection brain atrophy accelerates cognitive and molecular changes underlying dementia
Infections have been associated with a greater risk of Alzheimer’s disease and related dementias (ADRD), but it is unclear how infections influence structural brain patterns over time, and whether post-infection brain atrophy can accelerate cognitive decline and molecular changes underlying dementia. Using the Baltimore Longitudinal Study of Aging (BLSA; n = 793; mean age = 70.1), we examined how infections relate to longitudinal changes in machine learning-derived, 3 T-MRI neuroimaging signatures, and leveraged the UK Biobank (UKB; 1,120; mean age = 62.9 yrs) to externally validate infection-brain atrophy relationships. Using the BLSA, we also asked if infection history and infection-related brain volume loss were associated with cognitive decline, amyloid-beta PET, and ADRD plasma biomarker trajectories (Aβ42/40, pTau-181, NfL, GFAP). We detected accelerated parieto-temporal atrophy in BLSA participants with a history of upper respiratory tract, bacterial, and urinary tract infections (p < 0.05), as well as influenza and skin/subcutaneous infections (FDR p < 0.05). After demonstrating their associations with longitudinal neuroimaging signatures in the UKB and prevalent dementia in the BLSA, we found that infections were related to a greater burden of ADRD plasma biomarkers and accelerated rates of cognitive decline in BLSA participants. Integrating longitudinal brain scans, cognitive assessments, and plasma biomarker measurements, we identified infection-related changes in verbal memory and NfL that were more prominent among BLSA participants who experienced greater post-infection brain atrophy. Along with demonstrating that infections mediate clinically relevant brain atrophy patterns, these findings highlight the consequences of post-infection brain volume loss on longitudinal neurocognitive outcomes and extend our understanding of the biological basis by which infections may contribute to neurodegeneration.
Authors
- Susan M. Resnick (ORCID: https://orcid.org/0000-0003-1115-7145)
- Mika Kivimaki B (ORCID: https://orcid.org/0000-0002-4699-5627)
- Christos A. Davatzikos (ORCID: https://orcid.org/0000-0002-1025-8561)
- Guray Erus
- Michael R. Duggan (ORCID: https://orcid.org/0000-0002-1029-4423)
- Junhao Wen
- Abhay Moghekar (ORCID: https://orcid.org/0000-0001-9464-1551)
- Alexandria Lewis (ORCID: https://orcid.org/0000-0002-3812-8080)
- Keenan A. Walker (ORCID: https://orcid.org/0000-0002-5989-9853)
- Pyry N. Sipilä (ORCID: https://orcid.org/0000-0003-4886-8151)
- Murat Bilgel (ORCID: https://orcid.org/0000-0001-5042-7422)
- Zhijian Yang (ORCID: https://orcid.org/0000-0002-7863-827X)
Institutions
- National Institutes of Health (US)
- University of Helsinki (FI)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- National Institute on Aging (US)
- Artificial Intelligence in Medicine (Canada) (CA)
- University College London (GB)
- Columbia University (US)
Publication Details
- Journal
- Alzheimer s Research & Therapy
- Published
- 2025-12-05
- DOI
- https://doi.org/10.1186/s13195-025-01924-2
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00