scholarly journals Why is theNew York TimesWriting so Much about Alzheimer's Disease Therapies?

2010 ◽  
Vol 10 ◽  
pp. 1886-1889 ◽  
Author(s):  
Tamas Bartfai

Can we go back to proving that drugs work in preventing, postponing, and ameliorating familial Alzheimer's disease (ad)? Ad is so devastating that there is a great public interest in the drug discovery process as evinced by the sheer number of articles in the serious popular press. The presently available, yet poorly performing, drugs have been approved despite their multiple peripheral side effects. The research on disease-modifying agents for the treatment of ad is largely focused on reducing amyloid plaques. However, it is now clear that companies and researchers alike are losing hope in finding an efficacious therapy rapidly that works in ad patients who are already cognitively impaired, and that people who staked their scientific and professional career on finding a cure for ad based on the amyloid hypothesis are shaken by the series of failed clinical trials within a short period of time. It is emerging that we may start to treat ad far too late to be able to make any significant slowing of the disease or postponing the onset of the symptoms of the disease. The history of drug development for other diseases should encourage us to focus on patients in whom we can identify the genetic markers associated with familial ad. Then when we have an efficacious and very safe drug, we will be able to establish its efficacy on, most importantly, cognition, but also at the level of plaques. This will provide the pharmacological evidence needed to show that it is worth fighting amyloidosis because it saves memory. We have a successful and lucrative history of preventive medicine on a large scale, all we need now is the foresight and will to switch strategy and no longer look for a magic bullet to fix ad, but to discover drugs that will delay and prevent the onset of ad, drugs that may be safely taken by symptom-free patients who are vulnerable and susceptible to ad. The initial population that might be preventatively treated against ad would indeed be those with genetic predisposition. While prevention trials are long and expensive as emphasized by the industry, the market for a safe and effective drug would be extended to the large number of patients susceptible to sporadic ad. Since the highest risk factor for sporadic ad is age, this would be an extraordinarily large market.

2019 ◽  
Vol 16 (3) ◽  
pp. 193-208 ◽  
Author(s):  
Yan Hu ◽  
Guangya Zhou ◽  
Chi Zhang ◽  
Mengying Zhang ◽  
Qin Chen ◽  
...  

Background: Alzheimer's disease swept every corner of the globe and the number of patients worldwide has been rising. At present, there are as many as 30 million people with Alzheimer's disease in the world, and it is expected to exceed 80 million people by 2050. Consequently, the study of Alzheimer’s drugs has become one of the most popular medical topics. Methods: In this study, in order to build a predicting model for Alzheimer’s drugs and targets, the attribute discriminators CfsSubsetEval, ConsistencySubsetEval and FilteredSubsetEval are combined with search methods such as BestFirst, GeneticSearch and Greedystepwise to filter the molecular descriptors. Then the machine learning algorithms such as BayesNet, SVM, KNN and C4.5 are used to construct the 2D-Structure Activity Relationship(2D-SAR) model. Its modeling results are utilized for Receiver Operating Characteristic curve(ROC) analysis. Results: The prediction rates of correctness using Randomforest for AChE, BChE, MAO-B, BACE1, Tau protein and Non-inhibitor are 77.0%, 79.1%, 100.0%, 94.2%, 93.2% and 94.9%, respectively, which are overwhelming as compared to those of BayesNet, BP, SVM, KNN, AdaBoost and C4.5. Conclusion: In this paper, we conclude that Random Forest is the best learner model for the prediction of Alzheimer’s drugs and targets. Besides, we set up an online server to predict whether a small molecule is the inhibitor of Alzheimer's target at http://47.106.158.30:8080/AD/. Furthermore, it can distinguish the target protein of a small molecule.


2020 ◽  
Vol 17 (2) ◽  
pp. 141-157 ◽  
Author(s):  
Dubravka S. Strac ◽  
Marcela Konjevod ◽  
Matea N. Perkovic ◽  
Lucija Tudor ◽  
Gordana N. Erjavec ◽  
...  

Background: Neurosteroids Dehydroepiandrosterone (DHEA) and Dehydroepiandrosterone Sulphate (DHEAS) are involved in many important brain functions, including neuronal plasticity and survival, cognition and behavior, demonstrating preventive and therapeutic potential in different neuropsychiatric and neurodegenerative disorders, including Alzheimer’s disease. Objective: The aim of the article was to provide a comprehensive overview of the literature on the involvement of DHEA and DHEAS in Alzheimer’s disease. Method: PubMed and MEDLINE databases were searched for relevant literature. The articles were selected considering their titles and abstracts. In the selected full texts, lists of references were searched manually for additional articles. Results: We performed a systematic review of the studies investigating the role of DHEA and DHEAS in various in vitro and animal models, as well as in patients with Alzheimer’s disease, and provided a comprehensive discussion on their potential preventive and therapeutic applications. Conclusion: Despite mixed results, the findings of various preclinical studies are generally supportive of the involvement of DHEA and DHEAS in the pathophysiology of Alzheimer’s disease, showing some promise for potential benefits of these neurosteroids in the prevention and treatment. However, so far small clinical trials brought little evidence to support their therapy in AD. Therefore, large-scale human studies are needed to elucidate the specific effects of DHEA and DHEAS and their mechanisms of action, prior to their applications in clinical practice.


2021 ◽  
pp. 1-11
Author(s):  
Adam S. Bernstein ◽  
Steven Z. Rapcsak ◽  
Michael Hornberger ◽  
Manojkumar Saranathan ◽  

Background: Increasing evidence suggests that thalamic nuclei may atrophy in Alzheimer’s disease (AD). We hypothesized that there will be significant atrophy of limbic thalamic nuclei associated with declining memory and cognition across the AD continuum. Objective: The objective of this work was to characterize volume differences in thalamic nuclei in subjects with early and late mild cognitive impairment (MCI) as well as AD when compared to healthy control (HC) subjects using a novel MRI-based thalamic segmentation technique (THOMAS). Methods: MPRAGE data from the ADNI database were used in this study (n = 540). Healthy control (n = 125), early MCI (n = 212), late MCI (n = 114), and AD subjects (n = 89) were selected, and their MRI data were parcellated to determine the volumes of 11 thalamic nuclei for each subject. Volumes across the different clinical subgroups were compared using ANCOVA. Results: There were significant differences in thalamic nuclei volumes between HC, late MCI, and AD subjects. The anteroventral, mediodorsal, pulvinar, medial geniculate, and centromedian nuclei were significantly smaller in subjects with late MCI and AD when compared to HC subjects. Furthermore, the mediodorsal, pulvinar, and medial geniculate nuclei were significantly smaller in early MCI when compared to HC subjects. Conclusion: This work highlights nucleus specific atrophy within the thalamus in subjects with early and late MCI and AD. This is consistent with the hypothesis that memory and cognitive changes in AD are mediated by damage to a large-scale integrated neural network that extends beyond the medial temporal lobes.


2013 ◽  
Vol 9 ◽  
pp. P467-P467
Author(s):  
Denis Getsios ◽  
Shien Guo ◽  
Nikhil Revankar ◽  
Linus Jonsson ◽  
Peter Neumann ◽  
...  

1997 ◽  
Vol 8 (S3) ◽  
pp. 321-324 ◽  
Author(s):  
Joan M. Swearer ◽  
David A. Drachman

Although Alzheimer's original description of the dementing disorder that bears his name emphasized the prominence of troublesome and disruptive behaviors, a systematic investigation of behavioral disturbances of dementia did not begin in earnest until the 1980s. At that time, as the neuropathologic identity of presenile Alzheimer's disease and late-onset “senile dementia” was recognized, the redefinition of Alzheimer's disease abruptly increased the number of patients diagnosed with this condition. Physicians and other medical personnel working with Alzheimer's disease patients recognized both the importance of abnormal behaviors in this now large patient population and the need to describe, classify, and quantify these behaviors.


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