scholarly journals Evaluation of DNA Damage in the Lymphocytes of Young, Elderly and Alzheimer’s Disease Patients Treated with β-Estradiol in the Comet Assay

2013 ◽  
Vol 32 (3) ◽  
pp. 238-244
Author(s):  
Lada Žrsković ◽  
Ninoslav Djelić ◽  
Vladan Bajićs ◽  
Nataša Bogavac-Stanojwić ◽  
Dijana Žukovec ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Dna Damage ◽  
Comet Assay ◽  
Peripheral Blood Lymphocytes ◽  
Health Condition ◽  
Young Females ◽  
Healthy Elderly ◽  
Dna Migration ◽  
Cellular Dna

Summary Background: The antioxidant activity of estrogen has a be ne - ficial impact in Alzheimer’s disease. A variety of clinical stu - dies have demonstrated that estrogen replacement therapy in postmenopausal women results in a lower frequency of AD, delaying the onset of the neurodegenerative cascade. On the other hand, it has been demonstrated that estrogens may exhibit genotoxic effects, especially at elevated tissue concentrations. Therefore, the aim of this study was to determine whether b-estradiol induces DNA damage in the peripheral blood lymphocytes of healthy young females and males, healthy elderly females and males and females and males with Alzheimer’s disease. Methods: All experiments were performed using the alkaline version of the Comet assay (single cell gel electrophoresis), on six donors per each experimental group and controls. Results: In the Comet assay, a significant increase of DNA migration was observed in the lymphocytes of all treated groups (young and elderly females, young and elderly males, AD females and AD males) at all b-estradiol concentrations (50 mmol/L, 100 mmol/L and 250 mmol/L) used in this investigation. In all the experiments cell viability was over 80%. Conclusions: Lymphocytes are sensitive to the test concentrations of b-estradiol in the Comet assay regardless of gender, age and health condition of the examined subjects. Therefore, the role of b-estradiol in cellular DNA damage has been confirmed.

Reproducibility of Brain Volume Changes in Longitudinal Voxel-Based Morphometry Between Non-Accelerated and Accelerated Magnetic Resonance Imaging

2021 ◽  
pp. 1-10
Author(s):  
Hidemasa Takao ◽  
Shiori Amemiya ◽  
Osamu Abe ◽  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Magnetic Resonance ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Elderly Subjects ◽  
Voxel Based Morphometry ◽  
Volume Changes ◽  
Matter Volume ◽  
Healthy Elderly

Background: Scan acceleration techniques, such as parallel imaging, can reduce scan times, but reliability is essential to implement these techniques in neuroimaging. Objective: To evaluate the reproducibility of the longitudinal changes in brain morphology determined by longitudinal voxel-based morphometry (VBM) between non-accelerated and accelerated magnetic resonance images (MRI) in normal aging, mild cognitive impairment (MCI), and Alzheimer’s disease (AD). Methods: Using data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) 2 database, comprising subjects who underwent non-accelerated and accelerated structural T1-weighted MRI at screening and at a 2-year follow-up on 3.0 T Philips scanners, we examined the reproducibility of longitudinal gray matter volume changes determined by longitudinal VBM processing between non-accelerated and accelerated imaging in 50 healthy elderly subjects, 54 MCI patients, and eight AD patients. Results: The intraclass correlation coefficient (ICC) maps differed among the three groups. The mean ICC was 0.72 overall (healthy elderly, 0.63; MCI, 0.75; AD, 0.63), and the ICC was good to excellent (0.6–1.0) for 81.4%of voxels (healthy elderly, 64.8%; MCI, 85.0%; AD, 65.0%). The differences in image quality (head motion) were not significant (Kruskal–Wallis test, p = 0.18) and the within-subject standard deviations of longitudinal gray matter volume changes were similar among the groups. Conclusion: The results indicate that the reproducibility of longitudinal gray matter volume changes determined by VBM between non-accelerated and accelerated MRI is good to excellent for many regions but may vary between diseases and regions.

Strawberry ( Fragaria ananassa duch.) Alba extract attenuates DNA damage in lymphocytes of patients with Alzheimer’s disease

2021 ◽  
Author(s):  
Lada Živković ◽  
Vladan Bajić ◽  
Andrea Čabarkapa‐Pirković ◽  
Dragana Dekanski ◽  
Tamara Yuliett Forbes‐Hernández ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Dna Damage ◽  
Fragaria Ananassa

scholarly journals Evaluation of the novel 18 F‐labeled PET tracer SMBT‐1 for imaging astrogliosis in healthy elderly controls and A+/T+/(N+) Alzheimer's disease patients

2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Victor LL Villemagne ◽  
Ryuichi Harada ◽  
Vincent Dore ◽  
Shozo Furumoto ◽  
Rachel S Mulligan ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
The Novel ◽  
Healthy Elderly ◽  
Pet Tracer

An Informant Questionnaire for Detecting Alzheimer's Disease: Are Some Items Better Than Others?

2011 ◽  
Vol 17 (4) ◽  
pp. 674-681 ◽  
Author(s):  
Sietske A.M. Sikkes ◽  
Dirk L. Knol ◽  
Mark T. van den Berg ◽  
Elly S.M. de Lange-de Klerk ◽  
Philip Scheltens ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structural Equation ◽  
Structural Model ◽  
The Elderly ◽  
Equation Modeling ◽  
Or Education ◽  
Healthy Elderly ◽  
Patient Groups ◽  
Better Than

AbstractA decline in everyday cognitive functioning is important for diagnosing dementia. Informant questionnaires, such as the informant questionnaire on cognitive decline in the elderly (IQCODE), are used to measure this. Previously, conflicting results on the IQCODEs ability to discriminate between Alzheimer's disease (AD), mild cognitive impairment (MCI), and cognitively healthy elderly were found. We aim to investigate whether specific groups of items are more useful than others in discriminating between these patient groups. Informants of 180 AD, 59 MCI, and 89 patients with subjective memory complaints (SMC) completed the IQCODE. To investigate the grouping of questionnaire items, we used a two-dimensional graded response model (GRM).The association between IQCODE, age, gender, education, and diagnosis was modeled using structural equation modeling. The GRM with two groups of items fitted better than the unidimensional model. However, the high correlation between the dimensions (r=.90) suggested unidimensionality. The structural model showed that the IQCODE was able to differentiate between all patient groups. The IQCODE can be considered as unidimensional and as a useful addition to diagnostic screening in a memory clinic setting, as it was able to distinguish between AD, MCI, and SMC and was not influenced by gender or education. (JINS, 2011, 17, 674–681)

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