AI Article Synopsis

  • Mixed pathologies in neurodegenerative diseases make it challenging to measure brain atrophy before death, partly due to the absence of reliable biomarkers for conditions other than Alzheimer's.
  • The study utilized data from MRIs taken before death and postmortem brain evaluations to explore the relationship between different proteinopathies and brain atrophy in a diverse group of 125 dementia patients.
  • The results showed that a model considering multiple proteinopathies provided better explanatory power for brain atrophy compared to models focused solely on one type of pathology, indicating that brain degradation is influenced by multiple co-existing diseases and possible inflammatory responses.

Article Abstract

Mixed pathologies are common in neurodegenerative disease; however, antemortem imaging rarely captures copathologic effects on brain atrophy due to a lack of validated biomarkers for non-Alzheimer's pathologies. We leveraged a dataset comprising antemortem MRI and postmortem histopathology to assess polypathologic associations with atrophy in a clinically heterogeneous sample of 125 human dementia patients (41 female, 84 male) with T1-weighted MRI ≤ 5 years before death and postmortem ordinal ratings of amyloid-[Formula: see text], tau, TDP-43, and [Formula: see text]-synuclein. Regional volumes were related to pathology using linear mixed-effects models; approximately 25% of data were held out for testing. We contrasted a polypathologic model comprising independent factors for each proteinopathy with two alternatives: a model that attributed atrophy entirely to the protein(s) associated with the patient's primary diagnosis and a protein-agnostic model based on the sum of ordinal scores for all pathology types. Model fits were evaluated using log-likelihood and correlations between observed and fitted volume scores. Additionally, we performed exploratory analyses relating atrophy to gliosis, neuronal loss, and angiopathy. The polypathologic model provided superior fits in the training and testing datasets. Tau, TDP-43, and [Formula: see text]-synuclein burden were inversely associated with regional volumes, but amyloid-[Formula: see text] was not. Gliosis and neuronal loss explained residual variance in and mediated the effects of tau, TDP-43, and [Formula: see text]-synuclein on atrophy. Regional brain atrophy reflects not only the primary molecular pathology but also co-occurring proteinopathies; inflammatory immune responses may independently contribute to degeneration. Our findings underscore the importance of antemortem biomarkers for detecting mixed pathology.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10860605PMC
http://dx.doi.org/10.1523/JNEUROSCI.0808-23.2023DOI Listing

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