Carotenoids and Alzheimer’s Disease: An insight into therapeutic role of retinoids in animal models

2011 ◽  
Vol 59 (5) ◽  
pp. 535-541 ◽  
Author(s):  
M. Obulesu ◽  
Muralidhara Rao Dowlathabad ◽  
P.V. Bramhachari
2020 ◽  
Vol 37 (2) ◽  
pp. 1-12
Author(s):  
Sara M. Kamal ◽  
Aliaa R.H. Mostafa ◽  
Sanaa M.R. Wahba

Life Sciences ◽  
2022 ◽  
pp. 120299
Author(s):  
Mehdi Sanati ◽  
Samaneh Aminyavari ◽  
Amir R. Afshari ◽  
Amirhossein Sahebkar

2018 ◽  
Vol 130 ◽  
pp. 420-437 ◽  
Author(s):  
S. Marcelli ◽  
E. Ficulle ◽  
L. Piccolo ◽  
M. Corbo ◽  
M. Feligioni

2016 ◽  
Vol 2016 ◽  
pp. 1-22 ◽  
Author(s):  
Sandeep Kumar Singh ◽  
Saurabh Srivastav ◽  
Amarish Kumar Yadav ◽  
Saripella Srikrishna ◽  
George Perry

Alzheimer’s disease (AD) is a complex age-related neurodegenerative disease. In this review, we carefully detail amyloid-βmetabolism and its role in AD. We also consider the various genetic animal models used to evaluate therapeutics. Finally, we consider the role of synthetic and plant-based compounds in therapeutics.


2010 ◽  
Vol 1 (1) ◽  
pp. 5
Author(s):  
Brian Giunta ◽  
Amanda Ruscin ◽  
Jon Salemi ◽  
Alan Wolfson ◽  
Francisco Fernandez ◽  
...  

Alzheimer's disease (AD) is the most common progressive neurodegenerative brain disease as well as the most common dementia among the elderly. In the future as the average lifespan continues to extend, the number of AD patients will continue to grow. Amyloid-beta (Aβ) peptides, in both soluble oligomeric, and insoluble forms, are key in the neuropathogenesis of AD and have thus been a therapeutic target for vaccines. Multiple Aβ vaccination strategies in animal models of AD have demonstrated a marked reduction in both amyloid burden and neurocognitive deficits. Due to the success of these studies, initial human clinical trials of an active Aβ vaccine were conducted. These were discontinued due to the development of meningoencephalitis in approximately 6% of the vaccinated AD patients. Studies examining the brains of Aβ-vaccinated patients developing meningoencephalitis implicate Aβ-reactive T-cell subsets as major components of this deleterious response to active Aβ vaccination. To subvert possible meningoencephalitis resulting from Aβ vaccination second generation of vaccines has been more recently developed. These however have met with little success in humans. To build on these findings, an understanding of the role of T-cells in vaccination against Aβ is presented in this review. Various methods of Aβ immunotherapy are reviewed including studies in both animal models and humans. Recent works suggest that Aβ-derived peptides delivered intranasally or transcutaneously results in effective clearance of Aβ plaques and improvement of cognitive function in animal models of AD. Moreover, undesired T-cell reactivity appeared to be considerably reduced compared with other active immunization strategies. In spite of the past clinical studies, these findings imply that Aβ vaccination may be both efficacious and safe depending route of delivery, adjuvant choice, and Aβ epitope administered.


Author(s):  
Rohit Kumar Verma ◽  
Manisha Pandey ◽  
Pooja Chawla ◽  
Hira Choudhury ◽  
Jayashree Mayuren ◽  
...  

Background: The complication of Alzheimer’s disease (AD) has made the development of its therapeutic a challenging task. Even after decades of research, we have achieved no more than a few years of symptomatic relief. The inability to diagnose the disease early is the foremost hurdle behind its treatment. Several studies have aimed to identify potential biomarkers that can be detected in body fluids (CSF, blood, urine, etc) or assessed by neuroimaging (i.e., PET and MRI). However, the clinical implementation of these biomarkers is incomplete as they cannot be validated. Method: To overcome the limitation, the use of artificial intelligence along with technical tools has been extensively investigated for AD diagnosis. For developing a promising artificial intelligence strategy that can diagnose AD early, it is critical to supervise neuropsychological outcomes and imaging-based readouts with a proper clinical review. Conclusion: Profound knowledge, a large data pool, and detailed investigations are required for the successful implementation of this tool. This review will enlighten various aspects of early diagnosis of AD using artificial intelligence.


2016 ◽  
Vol 6 (5) ◽  
pp. 345-348 ◽  
Author(s):  
Deepak Kumar Vijaya Kumar ◽  
William A Eimer ◽  
Rudolph E Tanzi ◽  
Robert D Moir

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