Alzheimer's disease: review of current nanotechnological therapeutic strategies.

Alzheimer's disease: review of current nanotechnological therapeutic strategies. Expert Rev Neurother. 2020 Jan 18;: Authors: Baranowska-Wójcik E, Szwajgier D Abstract Introduction: Alzheimer's Disease (AD) is a progressive neurodegenerative pathology characterised by the presence of neuritic plaques and neurofibrillary tangles. The most important markers in AD pathology include excessive accumulation of amyloid beta (Aβ42) and phosphorylated tau (P-tau) proteins. One of the possible therapeutic strategies entails the elimination of such deposits by inhibiting Aβ aggregation. For years, one of the major problems in the treatment of AD has been the limited ability to deliver drugs to the brain for reasons related to poor solubility, low bioavailability, and the impact of the blood-brain barrier (BBB).Areas covered: In recent years, the authors have observed an increasing scientific interest in nanotechnological solutions as the factors potentially capable of facilitating the treatment of neurodegenerative diseases. The authors discuss recent reports regarding the use of nanotechnology in the therapy and treatment of AD.Expert opinion: The current advances in nanotechnology promise a chance to overcome the obstacles posed by said limitations. The size and diversity of nanoparticles in terms of both composition and shape create new possibilities for a variety of therapeutic applications, also in the context of the treatment and diagnostics of neurode...
Source: Expert Review of Neurotherapeutics - Category: Neurology Tags: Expert Rev Neurother Source Type: research

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ConclusionThese findings provide further support that race modifies the AD phenotypes downstream from cerebral amyloid deposition, and identifies key inter-subsystem connections for deep imaging and neuropathologic characterization.
Source: Translational Neurodegeneration - Category: Neurology Source Type: research
DISCUSSION: Our independently validated machine-learning model predicted cognitive decline in sporadic prodromal AD and may substantially reduce sample size needed in clinical trials in AD. PMID: 32043733 [PubMed - as supplied by publisher]
Source: The Journal of Alzheimers Association - Category: Psychiatry Tags: Alzheimers Dement Source Type: research
CONCLUSION: These results would be helpful in revealing the underlying pathological mechanism of the disease. PMID: 32053076 [PubMed - as supplied by publisher]
Source: Current Alzheimer Research - Category: Neurology Authors: Tags: Curr Alzheimer Res Source Type: research
Emerging research indicates interruptions in the wiring organization of the brain network in Mild cognitive impairment (MCI) and Alzheimer's disease (AD). Due to the important role of rich-club organization in distinguishing abnormalities of AD patients and the close relationship between structural connectivity (SC) and functional connectivity (FC), our study examined whether changes in SC-FC coupling and the relationship with abnormal rich-club organizations during the development of diseases may contribute to the pathophysiology of AD. Structural diffusion-tensor imaging (DTI) and resting-state functional magnetic resona...
Source: Frontiers in Neurology - Category: Neurology Source Type: research
ConclusionCombination therapy with donepezil and kamikihito seems to be beneficial and worth considering for patients who are secondarily non ‐responsive to donepezil monotherapy.
Source: Traditional and Kampo Medicine - Category: Complementary Medicine Authors: Tags: CASE REPORT Source Type: research
This study demonstrates cognitive impairments in aged APOE4 knock-in mice after doxorubicin treatment and establishes this system as a novel and powerful model of CRCI. PMID: 32027870 [PubMed - as supplied by publisher]
Source: Behavioural Brain Research - Category: Neurology Authors: Tags: Behav Brain Res Source Type: research
Publication date: Available online 30 January 2020Source: Journal of Psychiatric ResearchAuthor(s): Inés Del Cerro, Mirta F. Villarreal, Carolina Abulafia, Bárbara Duarte-Abritta, Stella M. Sánchez, Mariana N. Castro, Hernán Bocaccio, Isidre Ferrer, José Manuel Menchón, Gustavo Sevlever, Charles B. Nemeroff, Carles Soriano-Mas, Salvador M. GuinjoanAbstractPrevention and early treatment strategies for Alzheimer's disease (AD) are hampered by the lack of research biomarkers. Neuropathological changes in the Locus Coeruleus (LC) are detected early in AD, and noradrenaline plays a neur...
Source: Journal of Psychiatric Research - Category: Psychiatry Source Type: research
Abstract Alzheimer's disease (AD) is a neurodegenerative disorder characterized by a progressive and irreversible cognitive decline. Currently, it affects 36 million people and due to population ageing it is estimated that in 2030 disease incidence will reach 60 million individuals. The precise diagnosis of AD is still a complex task, being mainly performed by cerebrospinal fluid (CSF) analysis or neuroimaging techniques such as positron emission tomography (PET) and magnetic resonance imaging (MRI). Despite being effective these techniques are expensive, time-consuming and not accessible for most part of the popu...
Source: Talanta - Category: Chemistry Authors: Tags: Talanta Source Type: research
Molecules, Vol. 25, Pages 503: White Matter and Neuroprotection in Alzheimer’s Dementia Molecules doi: 10.3390/molecules25030503 Authors: Lorenzini Fernandez Baldassarro Bighinati Giuliani Calzà Giardino Myelin is the main component of the white matter of the central nervous system (CNS), allowing the proper electrical function of the neurons by ensheathing and insulating the axons. The extensive use of magnetic resonance imaging has highlighted the white matter alterations in Alzheimer’s dementia (AD) and other neurodegenerative diseases, alterations which are early, exten...
Source: Molecules - Category: Chemistry Authors: Tags: Review Source Type: research
Publication date: Available online 20 January 2020Source: NeurocomputingAuthor(s): Wei Li, Xuefeng Lin, Xi ChenAbstractApplying machine learning methods to various modality medical images and clinical data for early diagnosis of Alzheimer's disease (AD) and its prodromal stage has got lots of significant results. So far, the image data input to classifier mainly focus on 2D or 3D images. Although some functional imaging technologies, such as functional magnetic resonance imaging (fMRI), generate 4D data which contain both spatial and time-varying information of the brain, for the lack of suitable 4D image processing algori...
Source: Neurocomputing - Category: Neuroscience Source Type: research
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