To examine the plasma antioxidant status of Alzheimer's disease (AD) patients and to evaluate the influence of apolipoprotein E (APOE) genotype. There are reasons to suspect involvement of the free hydroxyl radical in the pathogenesis of AD. In contrast, studies in plasma of AD patients for the evaluation of levels of biomarkers of oxidation are controversial. Twenty AD patients diagnosed using the National Institute for Neurological Disorders/Alzheimer's Disease and Related Disorders (NINDS/ADRDA) criteria and 22 controls chosen amongst different subjects without cognitive damage. All the subjects--both AD patients and controls--were stratified by their APOE genotype (3/3, 3/4 or 4/4), which was determined by PCR. Plasma total antioxidant capacity (TAC) was determined using two complementary procedures: FRAP, which measures the ferric reduction capacity, and ABTS, which measures the radical scavenging capacity. In addition, 2-amino-adipic semialdehyde (2-AAS), a biomarker of protein oxidation, was evaluated. No significant difference was observed between the AD and control groups regarding plasma TAC. When the subjects were classified by their APOE genotype, significant differences were found in the APOE 4/4 group in the TCA determined by the FRAP method. Subjects with APOE genotype 4/4, which is the group with higher incidence in AD, showed lower antioxidant capacity of plasma. It is the first time that antioxidant capacity in plasma is evaluated in AD patients characterized by their APOE genotypes.
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http://dx.doi.org/10.1111/j.1468-1331.2005.01000.x | DOI Listing |
Eur J Neurol
January 2025
School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
Background: The regulatory role of the apolipoprotein E (APOE) ε4 allele in the clinical manifestations of spinocerebellar ataxia type 3 (SCA3) remains unclear. This study aimed to evaluate the impact of the APOE ε4 allele on cognitive and motor functions in SCA3 patients.
Methods: This study included 281 unrelated SCA3 patients and 182 controls.
Sci Rep
December 2024
Dipartimento di Medicina, Chirurgia e Farmacia, University of Sassari, Viale San Pietro 43, Sassari, 07100, Italy.
More than two decades ago, in the central-eastern region of the Mediterranean island of Sardinia, a mountain area was identified where the population displays exceptional longevity, especially among men (the Longevity Blue Zone, LBZ). This community was thoroughly investigated to understand the underlying causes of the phenomenon. The present study analyzed 11 genetic markers previously associated with increased survival in several long-lived populations.
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December 2024
School of Public Health, Southern Medical University, 1023 Shatai South Road, Guangzhou, Guangdong Province 510000, China; Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue Central, Guangzhou, Guangdong Province 510000, China. Electronic address:
Background: The frequency of salt added at the table (i.e., to food after it has been prepared, during consumption) could reflect an individual's long-term dietary preference and habitual intake in Western countries.
View Article and Find Full Text PDFAging Cell
December 2024
Translational Dementia Research Group, Centre for Immunology and Allergy Research, Westmead Institute for Medical Research, Sydney, NSW, Australia.
Proteome changes associated with APOE4 variant carriage that are independent of Alzheimer's disease (AD) pathology and diagnosis are unknown. This study investigated APOE4 proteome changes in people with AD, mild cognitive impairment, and no impairment. Clinical, APOE genotype, and cerebrospinal fluid (CSF) proteome and AD biomarker data was sourced from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database.
View Article and Find Full Text PDFHealthc Technol Lett
December 2024
Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems Ulster University, Magee campus Derry∼Londonderry Northern Ireland UK.
Missing Alzheimer's disease (AD) data is prevalent and poses significant challenges for AD diagnosis. Previous studies have explored various data imputation approaches on AD data, but the systematic evaluation of deep learning algorithms for imputing heterogeneous and comprehensive AD data is limited. This study investigates the efficacy of denoising autoencoder-based imputation of missing key features of heterogeneous data that comprised tau-PET, MRI, cognitive and functional assessments, genotype, sociodemographic, and medical history.
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