Alzheimer's Disease (AD) is a fatal neurodegenerative disorder, having a complex aetiology with numerous possible drug targets. There are targets that have been known for years while more new targets and theories have also emerged. Beta amyloid and cholinesterases are the most significant biological targets for finding curative treatment of AD. The major class of drugs used for AD till now has been the Cholinesterase (ChE) inhibitors. Other prevailing models of molecular pathogenesis in AD include Neurofibrillary Tangles (NFTs) and amyloid deposition, tryptophan degradation pathway, kinase and phosphatase activity imbalance and neuroinflammation. The beta amyloid aggregation initiates flow of events resulting in neurotoxicity and finally clinical pathogenesis of AD. Furthermore, ApoE is another very significant entity involved in repairing and maintaining the neurons and has important role in neurodegeneration. Neuroinflammation being the primmest symptom for AD is essential to focus on. Multiple factors and complexity in interlinking disease progression pose huge challenge to find one complete curing drug. With so many promising molecules having multiform pharmacological profile from all over the world however facing failures in clinical trials indicates the need to consider all aspects of the old as well as new therapeutic targets of AD. Until the disease mechanism is better understood, it is likely that multiple targeting, symptomatic and diseasemodifying, is the way forward. Most recent approaches to find anti-Alzheimer's agents have focused on multi-target directed agents that include targeting all glorious targets hypothesized against AD. New identification of prototype candidates that could be starting point of a new way of thinking drug design has been done and many drug candidates are under preclinical evaluation. The main focus of this review is to discuss the recent understanding of key targets and the development of potential therapeutic agents for the treatment of AD. It also documents the current therapeutic agents in clinical trials and under development based on their main mode of action.
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http://dx.doi.org/10.2174/1568026618666180112161024 | DOI Listing |
Sensors (Basel)
December 2024
Faculty of Computer Science, Polish-Japanese Academy of Information Technology, 86 Koszykowa Street, 02-008 Warsaw, Poland.
Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD) and Parkinson's disease (PD), are debilitating conditions that affect millions worldwide, and the number of cases is expected to rise significantly in the coming years. Because early detection is crucial for effective intervention strategies, this study investigates whether the structural analysis of selected brain regions, including volumes and their spatial relationships obtained from regular T1-weighted MRI scans ( = 168, PPMI database), can model stages of PD using standard machine learning (ML) techniques. Thus, diverse ML models, including Logistic Regression, Random Forest, Support Vector Classifier, and Rough Sets, were trained and evaluated.
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December 2024
Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.
Mobility tasks like the Timed Up and Go test (TUG), cognitive TUG (cogTUG), and walking with turns provide insights into the impact of Parkinson's disease (PD) on motor control, balance, and cognitive function. We assess the test-retest reliability of these tasks in 262 PD participants and 50 controls by evaluating machine learning models based on wearable-sensor-derived measures and statistical metrics. This evaluation examines total duration, subtask duration, and other quantitative measures across two trials.
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December 2024
Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave, Tempe, AZ 85281, USA.
Alzheimer's disease (AD) and Alzheimer's Related Dementias (ADRD) are projected to affect 50 million people globally in the coming decades. Clinical research suggests that Mild Cognitive Impairment (MCI), a precursor to dementia, offers a critical window of opportunity for lifestyle interventions to delay or prevent the progression of AD/ADRD. Previous research indicates that lifestyle changes, including increased physical exercise, reduced caloric intake, and mentally stimulating activities, can reduce the risk of MCI.
View Article and Find Full Text PDFPlants (Basel)
December 2024
Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.
The genus (Amaryllidaceae) currently contains 25 plant species naturally occurring in Europe and the Middle East region. These perennial bulbous plants possess well-known medicinal and ornamental qualities. Alkaloid diversity is their most distinctive phytochemical feature.
View Article and Find Full Text PDFPlants (Basel)
December 2024
Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Linn ( L.), commonly known as Holy Basil or Tulsi, is a fragrant herbaceous plant belonging to the Lamiaceae family. This plant is widely cultivated and found in north-central parts of India, several Arab countries, West Africa and tropical regions of the Eastern World.
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