bioRxiv Science⌕ Search

Biology subjects

Breitner, J. C. S.

Publications and source records attributed to Breitner, J. C. S..

5 recordsLinked to original sources

CSF complement proteins are associated with early tau pathology and synaptic damage in an asymptomatic population at risk of Alzheimer's disease

Complement-mediated neuroinflammation has been implicated in Alzheimer's disease (AD), but its role during the pre-symptomatic phase of the disease remains unclear. In the PREVENT-AD cohort of cognitively unimpaired individuals at increased familial risk of AD, we investigated whether CSF complement proteins relate to early AD pathology and synaptic dysfunction, then assessed our results' reproducibility across the clinical AD spectrum. Baseline CSF C1q, C3, C3b, and Factor H were measured in relation to CSF AD biomarkers, synaptic proteins, cognition, MRI volumetry, and amyloid and tau PET. Key findings were then examined in 708 participants from ADNI spanning cognitively normal, mild cognitive impairment (MCI), and dementia stages of AD. In PREVENT-AD, C1q was positively associated with CSF P-tau181, T-tau, and multiple synaptic markers including ADAM23, GAP43, SNAP25, and SYT1. Factor H showed similarly strong positive associations with P-tau181, T-tau, ADAM22, ADAM23, GAP43, and SYT1. By contrast, C3 showed minimal associations, while C3b displayed weaker positive relationships with P-tau181, T-tau, ADAM22, and ADAM23. Complement proteins were not robustly associated with amyloid or tau PET, and only C1q related to lower global cognitive performance. In ADNI, C1q emerged as the most consistent analyte, showing positive associations with tau, neurofilament light, and synaptic markers across all diagnostic groups. C3 exhibited predominantly negative associations, whereas C3b and Factor H showed stage-dependent relationships, particularly with evident neurodegeneration and synaptic injury in symptomatic individuals. These findings identify complement dysregulation, especially involving C1q, as an early correlate of tau-linked synaptic pathology, and support a role for complement activation in the AD molecular cascade.

neuroscience↗

Bundle-specific associations between white matter microstructure and Aβ and tau pathology at their connecting cortical endpoints in older adults at risk of Alzheimer's disease

Beta-amyloid (A{beta}) and tau proteins, the pathological hallmarks of Alzheimers disease (AD), are believed to spread through connected regions. Combining diffusion imaging and positron emission tomography, we investigated associations between A{beta}, tau and white matter microstructure specifically in bundles connecting brain regions in which AD pathology accumulates. In 126 cognitively normal elderly at risk of AD, we focussed on free-water corrected diffusion measures in the cingulum, posterior cingulum, fornix and uncinate fasciculus. We found higher tissue fractional anisotropy and lower mean and radial diffusivity related to increased A{beta} at the cortical endpoints of the cingulum and fornix. We observed similar but stronger associations in the uncinate fasciculus, but with increased A{beta} and tau at the endpoints of this bundle. This consistent pattern of associations, with opposite directionality to the usual degeneration pattern in symptomatic individuals, suggests more restricted diffusion in bundles vulnerable to preclinical AD pathology.

neuroscience↗

Functional brain age prediction suggests accelerated aging in preclinical familial Alzheimer's disease, irrespective of fibrillar amyloid-beta pathology

We aimed at developing a model able to predict brain aging from resting state functional connectivity (rs-fMRI) and assessing whether genetic risk/determinants of Alzheimers disease (AD) and amyloid (A{beta}) pathology contributes to accelerated brain aging. Using data collected in 1340 cognitively unimpaired participants from 18 to 94 years old selected across multi-site cohorts, we showed that chronological age can be predicted across the whole lifespan from topological properties of graphs constructed from rs-fMRI. We subsequently used the difference between the model-predicted age and the chronological age in pre-symptomatic autosomal dominant AD (ADAD) mutation carriers and asymptomatic individuals at risk of sporadic AD and assessed the influence of genetics and A{beta} pathology on brain age. Applying our predictive model in the context of preclinical AD revealed that the pre-symptomatic phase of ADAD is characterized by accelerated functional brain aging. This phenomenon is independent from, and might precede, detectable fibrillar A{beta} deposition.

neuroscience↗

Creation of an Open Science Dataset from PREVENT-AD, a Longitudinal Cohort Study of Pre-symptomatic Alzheimer's Disease.

To move Alzheimer Disease (AD) research forward it is essential to collect data from large cohorts, but also make such data available to the global research community. We describe the creation of an open science dataset from the PREVENT-AD (PResymptomatic EValuation of Experimental or Novel Treatments for AD) cohort, composed of cognitively unimpaired older individuals with a parental or multiple-sibling history of AD. From 2011 to 2017, 386 participants were enrolled (mean age 63 years old {+/-} 5) for sustained investigation among whom 349 have retrospectively agreed to share their data openly. Repositories are findable through the unified interface of the Canadian Open Neuroscience Platform (https://portal.conp.ca/) and contain up to five years of longitudinal imaging data, cerebral fluid biochemistry, neurosensory capacities, cognitive, genetic, and medical information. Imaging data can be accessed openly at https://openpreventad.loris.ca while most of the other information, sensitive by nature, is accessible by qualified researchers at https://registeredpreventad.loris.ca. In addition to being a living resource for continued data acquisition, PREVENT-AD offers opportunities to facilitate understanding of AD pathogenesis.

neuroscience↗

Distinct changes in morphometric networks in aging versus Alzheimer’s disease dementia

Brain gray matter (GM) morphometric changes are prevalent in both aging and Alzheimers disease (AD), though disentangling these two processes has proved challenging. Using independent component analysis, we derived morphometric networks from a large, multi-cohort dataset, and investigated how GM volume within these networks differs in young adulthood, old adulthood, and AD. Aging and AD contributed additive effects on GM loss in nearly all networks, except frontal lobe networks, where GM reductions were more specific to aging. While no networks show GM loss highly specific to AD, a higher degree of variability in the whole-brain pattern of GM volume characterized AD only. Preservation of the whole-brain GM pattern in cognitively normal older adults was related to better cognition and lower risk of developing cognitive impairment. These results suggest both aging and AD involve widespread atrophy, but that cognitive impairment is uniquely associated with disruption of morphometric organization.

neuroscience↗