P2-142 Tissue slice cultures from human brain autopsies and biopsies: alzheimer's disease and other neurological disorders

2004 ◽  
Vol 25 ◽  
pp. S265
Author(s):  
Ronald W. Verwer ◽  
Rawien Balesar ◽  
Lei Wu ◽  
Elisabeth F. Boiten ◽  
Arja A. Sluiter ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Human Brain ◽  
Neurological Disorders ◽  
Tissue Slice

scholarly journals Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Manan Binth Taj Noor ◽  
Nusrat Zerin Zenia ◽  
M Shamim Kaiser ◽  
Shamim Al Mamun ◽  
Mufti Mahmud
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Deep Learning ◽  
Magnetic Resonance ◽  
Neurological Disorders ◽  
Magnetic Resonance Images ◽  
Future Research ◽  
Comparative Performance

Abstract Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an important role in understanding brain functionalities and its disorders during the last couple of decades. These cutting-edge MRI scans, supported by high-performance computational tools and novel ML techniques, have opened up possibilities to unprecedentedly identify neurological disorders. However, similarities in disease phenotypes make it very difficult to detect such disorders accurately from the acquired neuroimaging data. This article critically examines and compares performances of the existing deep learning (DL)-based methods to detect neurological disorders—focusing on Alzheimer’s disease, Parkinson’s disease and schizophrenia—from MRI data acquired using different modalities including functional and structural MRI. The comparative performance analysis of various DL architectures across different disorders and imaging modalities suggests that the Convolutional Neural Network outperforms other methods in detecting neurological disorders. Towards the end, a number of current research challenges are indicated and some possible future research directions are provided.

Lipidomics and cognitive dysfunction – A Narrative review

2020 ◽  
Vol 45 (2) ◽  
Author(s):  
Arpita Chakraborty ◽  
Samir Kumar Praharaj ◽  
R. V. Krishnananda Prabhu ◽  
M. Mukhyaprana Prabhu
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Vascular Dementia ◽  
Cognitive Dysfunction ◽  
Neurological Disorders ◽  
Brain Lipids ◽  
Complex Lipids ◽  
Functional Components ◽  
The Brain

AbstractBackgroundMore than half portion of the brain is formed by lipids. They play critical roles in maintaining the brain's structural and functional components. Any dysregulation in these brain lipids can lead to cognitive dysfunction which are associated with neurological disorders such as Alzheimer's disease, Parkinson's disease, schizophrenia, vascular dementia etc. Studies have linked lipids with cognitive impairment. But not much has been studied about the complex brain lipids which might play a pivotal role in cognitive impairment. This review aims to highlight the lipidomic profiles in patients with cognitive dysfunction.ResultsForty-five articles were reviewed. These studies show alterations in complex lipids such as sphingolipids, phospholipids, glycolipids and sterols in brain in various neurological disorders such as vascular dementia, Parkinson's and Alzheimer's disease. However, the classes of fatty acids in these lipids involved are different across studies.ConclusionsThere is a need for targeted lipidomics analysis, specifically including sphingolipids in patients with neurodegenerative disorders so as to improve diagnostics as well as management of these disorders.

Phenylalanine Metabolism is Dysregulated in Human Hippocampus with Alzheimer’s Disease Related Pathological Changes

2021 ◽  
pp. 1-14
Author(s):  
Pan Liu ◽  
Qian Yang ◽  
Ning Yu ◽  
Yan Cao ◽  
Xue Wang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Human Brain ◽  
Pathological Examination ◽  
Pathological Changes ◽  
Targeted Metabolomics ◽  
Phenylpyruvic Acid ◽  
Postmortem Human Brain ◽  
Metabolic Dysregulation ◽  
Phenylalanine Metabolism

Background: Alzheimer’s disease (AD) is one of the most challenging diseases causing an increasing burden worldwide. Although the neuropathologic diagnosis of AD has been established for many years, the metabolic changes in neuropathologic diagnosed AD samples have not been fully investigated. Objective: To elucidate the potential metabolism dysregulation in the postmortem human brain samples assessed by AD related pathological examination. Methods: We performed untargeted and targeted metabolomics in 44 postmortem human brain tissues. The metabolic differences in the hippocampus between AD group and control (NC) group were compared. Results: The results show that a pervasive metabolic dysregulation including phenylalanine metabolism, valine, leucine, and isoleucine biosynthesis, biotin metabolism, and purine metabolism are associated with AD pathology. Targeted metabolomics reveal that phenylalanine, phenylpyruvic acid, and N-acetyl-L-phenylalanine are upregulated in AD samples. In addition, the enzyme IL-4I1 catalyzing transformation from phenylalanine to phenylpyruvic acid is also upregulated in AD samples. Conclusion: There is a pervasive metabolic dysregulation in hippocampus with AD-related pathological changes. Our study suggests that the dysregulation of phenylalanine metabolism in hippocampus may be an important pathogenesis for AD pathology formation.

P3-383: TNF expressing cells in the subependymal zone of the third ventricle of aged mouse and human brain with Alzheimer's disease pathology

2008 ◽  
Vol 4 ◽  
pp. T633-T634
Author(s):  
Ivica Granic ◽  
Csaba Nyakas ◽  
Gabor G. Kovacs ◽  
Paul G.M. Luiten ◽  
Ulrich L.M. Eisel
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Human Brain ◽  
Third Ventricle ◽  
Aged Mouse ◽  
The Third ◽  
Subependymal Zone

scholarly journals Luminex-based quantification of Alzheimer’s disease neuropathologic change in formalin-fixed post-mortem human brain tissue

2018 ◽  
Vol 99 (7) ◽  
pp. 1056-1067
Author(s):  
C. Dirk Keene ◽  
Angela M. Wilson ◽  
Mitchell D. Kilgore ◽  
Lauren T. Bruner ◽  
Nadia O. Postupna ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Human Brain ◽  
Brain Tissue ◽  
Post Mortem ◽  
Human Brain Tissue ◽  
Formalin Fixed

scholarly journals Dimensional Changes in Lipid Rafts from Human Brain Cortex Associated to Development of Alzheimer’s Disease. Predictions from an Agent-Based Mathematical Model

2021 ◽  
Vol 22 (22) ◽  
pp. 12181
Author(s):  
Guido Santos ◽  
Mario Díaz
Keyword(s):  
Alzheimer’S Disease ◽  
Mathematical Model ◽  
Alzheimer's Disease ◽  
Human Brain ◽  
Lipid Rafts ◽  
Brain Cortex ◽  
Clinical Symptoms ◽  
Senile Plaques ◽  
Amyloid Β ◽  
Human Brain Cortex

Alzheimer’s disease (AD) is a neurodegenerative disease caused by abnormal functioning of critical physiological processes in nerve cells and aberrant accumulation of protein aggregates in the brain. The initial cause remains elusive—the only unquestionable risk factor for the most frequent variant of the disease is age. Lipid rafts are microdomains present in nerve cell membranes and they are known to play a significant role in the generation of hallmark proteinopathies associated to AD, namely senile plaques, formed by aggregates of amyloid β peptides. Recent studies have demonstrated that human brain cortex lipid rafts are altered during early neuropathological phases of AD as defined by Braak and Braak staging. The lipid composition and physical properties of these domains appear altered even before clinical symptoms are detected. Here, we use a coarse grain molecular dynamics mathematical model to predict the dimensional evolution of these domains using the experimental data reported by our group in human frontal cortex. The model predicts significant size and frequency changes which are detectable at the earliest neuropathological stage (ADI/II) of Alzheimer’s disease. Simulations reveal a lower number and a larger size in lipid rafts from ADV/VI, the most advanced stage of AD. Paralleling these changes, the predictions also indicate that non-rafts domains undergo simultaneous alterations in membrane peroxidability, which support a link between oxidative stress and AD progression. These synergistic changes in lipid rafts dimensions and non-rafts peroxidability are likely to become part of a positive feedback loop linked to an irreversible amyloid burden and neuronal death during the evolution of AD neuropathology.

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