Apolipoprotein E in Alzheimer's disease and other neurological disorders

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.

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P4-068: CLINICAL RELEVANCE OF APOE GENOTYPING AND APOLIPOPROTEIN E-ɛ4 IMMUNOASSAYS IN ALZHEIMER'S DISEASE

Alzheimer s & Dementia ◽

10.1016/j.jalz.2014.05.1583 ◽

2014 ◽

Vol 10 ◽

pp. P808-P808

Author(s):

Femke Soetewey ◽

Hanne Struyfs ◽

Erik Stoops ◽

Christine Van Broeckhoven ◽

Hugo Vanderstichele ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Apolipoprotein E ◽

Clinical Relevance

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Apolipoprotein E alleles but neither apolipoprotein B nor apolipoprotein AI/CIII alleles are associated with late onset, familial Alzheimer's disease

Neuroscience Letters ◽

10.1016/0304-3940(95)11422-s ◽

1995 ◽

Vol 188 (3) ◽

pp. 202-204 ◽

Cited By ~ 9

Author(s):

Henry Houlden ◽

Richard Crook ◽

Karen Duff ◽

Mike Hutton ◽

John Collinge ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Apolipoprotein E ◽

Apolipoprotein B ◽

Late Onset ◽

Apolipoprotein Ai ◽

Familial Alzheimer’S Disease ◽

Familial Alzheimer's Disease

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Lipidomics and cognitive dysfunction – A Narrative review

Turkish Journal of Biochemistry ◽

10.1515/tjb-2020-0134 ◽

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.

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