Background: Brain imaging plays an important role in Alzheimer's disease (AD) assessment. Combined with cognitive assessment, MRI helps to exclude other brain disorders and to support AD diagnosis based on the atrophy of specific regions. Visual atrophy scales are useful in clinical practice, especially in low-income areas where access to biomarkers and automated volumetric analysis are limited.
Objective: To assess the correlation between different MRI Visual Atrophy Scales and cognitive performance in a cohort of a Memory Clinic of Brazilian older adults with heterogeneous educational background.
Methods: Data were collected from the Cog-Aging Cohort, including participants with normal cognition, mild cognitive impairment, and Alzheimer's Disease Dementia. Thirty-five MRI scans were analyzed using the following visual scales: Global Cortical Atrophy (GCA), the Entorhinal Cortical Atrophy Score (ERICA), the Medial Temporal Lobe Atrophy (MTA) scale, and the KOEDAM scale, Fazekas scale for white matter lesions. They were rated by consensus of two memory specialists. These scores were correlated to sociodemographics, to Dementia Rating Scale (DRS), Mini-Examination of State Examination (MMSE), 5-minute recall of the CERAD word list, and immediate episodic memory recall (A6) from the of the Rey Auditory Verbal Learning Test (RAVLT).
Results: The mean age of participants was 77.15 years (SD: 74-80), and the median education was 6.53 years (IQ: 4.48-8.59). No difference in sex was found. The ERICA scale showed a statistically significant moderate correlation with RAVLT (Rho = -.454, p = .017) and a weak correlation with the 5-minute recall from CERAD's Word List (Rho = -.381, p = .026). No other visual scale demonstrated statistically significant correlations with any cognitive tests. We found strong correlations between the ERICA and MTA scores (Rho = -.616, p<.001), and weak but significant correlations between ERICA and KOEDAM (Rho = -.390, p = .023).
Conclusion: A higher ERICA score correlated to a worst memory performance. These data corroborate other studies addressing the importance of the use of this scale in research and clinical practice.
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Mol Neurodegener
January 2025
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.
TREM2 is a signaling receptor expressed on microglia that has emerged as an important drug target for Alzheimer's disease and other neurodegenerative diseases. While a number of TREM2 ligands have been identified, little is known regarding the structural details of how they engage. To better understand this, we created a protein library of 28 different TREM2 variants that could be used to map interactions with various ligands using biolayer interferometry.
View Article and Find Full Text PDFFluids Barriers CNS
January 2025
Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, 760 Press Ave, 124 HKRB, Lexington, KY, 40536-0679, USA.
Background: Blood-brain barrier dysfunction is one characteristic of Alzheimer's disease (AD) and is recognized as both a cause and consequence of the pathological cascade leading to cognitive decline. The goal of this study was to assess markers for barrier dysfunction in postmortem tissue samples from research participants who were either cognitively normal individuals (CNI) or diagnosed with AD at the time of autopsy and determine to what extent these markers are associated with AD neuropathologic changes (ADNC) and cognitive impairment.
Methods: We used postmortem brain tissue and plasma samples from 19 participants: 9 CNI and 10 AD dementia patients who had come to autopsy from the University of Kentucky AD Research Center (UK-ADRC) community-based cohort; all cases with dementia had confirmed severe ADNC.
Alzheimers Res Ther
January 2025
Laboratory for Clinical Neuroscience, Center for Biomedical Technology, Universidad Politécnica de Madrid, IdISSC, Crta M40, km38, Madrid, 28223, Spain.
Background: Dementia patients commonly present multiple neuropathologies, worsening cognitive function, yet structural neuroimaging signatures of dementia have not been positioned in the context of combined pathology. In this study, we implemented an MRI voxel-based approach to explore combined and independent effects of dementia pathologies on grey and white matter structural changes.
Methods: In 91 amnestic dementia patients with post-mortem brain donation, grey matter density and white matter hyperintensity (WMH) burdens were obtained from pre-mortem MRI and analyzed in relation to Alzheimer's, vascular, Lewy body, TDP-43, and hippocampal sclerosis (HS) pathologies.
Commun Biol
January 2025
Department of Neurodegenerative Diseases, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA, 91010, USA.
Brain organoid models have greatly facilitated our understanding of human brain development and disease. However, key brain cell types, such as microglia, are lacking in most brain organoid models. Because microglia have been shown to play important roles in brain development and pathologies, attempts have been made to add microglia to brain organoids through co-culture.
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