Background: Previous studies have shown an association between disruption of the blood-brain-barrier (BBB) and dementias of different etiologies. The protein concentration of cerebrospinal fluid (CSF) can be used as an indirect measurement for the permeability of the BBB using the CSF/plasma albumin quotient (Q-Alb) or total CSF protein.

Objective: In the current study, we wanted to investigate Q-Alb and CSF protein concentration in dementias of different etiologies and the possible confounding factors.

Methods: A total of 510 patients and healthy controls were included in the current study. The patients were diagnosed with Alzheimer's disease (AD), dementia with Lewy bodies (DLB), vascular dementia (VaD), or frontotemporal dementia (FTD).

Results: We found that Q-Alb was significantly different between the groups (p = 0.002, F = 3.874). Patients with DLB and VaD showed the largest Q-Alb. Although not significant for CSF total protein, we found the same overall pattern for DLB and VaD. When examining confounding factors, we found a positive association with age and a lower Fazekas score in DLB as compared to VaD.

Conclusion: These results suggest that Q-Alb can contribute to our understanding of the pathophysiological mechanisms in DLB, and Q-Alb may serve as a supplementary diagnostic marker. Furthermore, we found a positive association with age, which may be due to differences in vascular co-morbidities. In addition, in patients with DLB, the increased Q-Alb is not due to vascular lesions. Studies are needed to validate the possible diagnostic value of Q-Alb in a larger cohort.

Download full-text PDF

Source
http://dx.doi.org/10.3233/JAD-200168DOI Listing

Publication Analysis

Top Keywords

dementias etiologies
8
protein concentration
8
q-alb
8
current study
8
q-alb csf
8
patients dlb
8
dlb vad
8
positive association
8
association age
8
dlb
6

Similar Publications

Exploring Brain Imaging and Genetic Risk Factors in Different Progression States of Alzheimer's Disease Through OSnetNMF-Based Methods.

J Mol Neurosci

January 2025

Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.

Alzheimer's disease (AD) is a neurodegenerative disease with no effective treatment, often preceded by mild cognitive impairment (MCI). Multimodal imaging genetics integrates imaging and genetic data to gain a deeper understanding of disease progression and individual variations. This study focuses on exploring the mechanisms that drive the transition from normal cognition to MCI and ultimately to AD.

View Article and Find Full Text PDF

Lifestyle factors and ambient air pollution are linked to dementia and CMDs, yet few studies have investigated their impact on dementia risk in CMDs patients at the same time. The Cox proportional hazards model was used to evaluate the influence of lifestyle and ambient air pollution on the dementia risk of the CMDs population among 438,681 participants in the UK Biobank. It is found that the risk of developing mild cognitive impairment and dementia in the population seems to increase with the increase in the number of CMDs.

View Article and Find Full Text PDF

Background: Apolipoprotein E (ApoE) ε4 genotype is a well-known risk factor for Alzheimer's disease (AD). However, its effect on predicting cognitive decline in individuals without dementia and its association with age are unclear.

Objective: To investigate the relationship between ApoE polymorphism and risk of cognitive decline and dementia incidence in the elderly without dementia.

View Article and Find Full Text PDF

Recent advances in single-cell RNA-Sequencing (scRNA-Seq) technologies have revolutionized our ability to gather molecular insights into different phenotypes at the level of individual cells. The analysis of the resulting data poses significant challenges, and proper statistical methods are required to analyze and extract information from scRNA-Seq datasets. Sample classification based on gene expression data has proven effective and valuable for precision medicine applications.

View Article and Find Full Text PDF

The role of lipid metabolism in cognitive impairment.

Arq Neuropsiquiatr

January 2025

Second Medical University, School of Clinical Medicine, Weifang Shandong Province, China.

Alzheimer's disease (AD), diabetic cognitive impairment (DCI), and vascular dementia (VD) are considered the most common causes of severe cognitive impairment in clinical practice. Numerous factors can influence their progression, and many studies have recently revealed that metabolic disorders play crucial roles in the progression of cognitive impairment. Mounting evidence indicate that the regulation of lipid metabolism is a major factor in maintaining brain homeostasis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!