A diverse community partnership in the Seattle area developed a policy agenda based on science, organized community support, and committed to monitor policy changes. It found that public health agencies are well positioned to develop a common knowledge base on early childhood development and to initiate community coalitions promoting policies to strengthen environments. It was challenging to maintain participants' focus on environments over time. Providing access to conditions that promote optimal development for all children will require ongoing commitment and alignment of many sectors to move political will and mobilize for change.
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http://dx.doi.org/10.2105/AJPH.2004.048207 | DOI Listing |
Background: Alzheimer's disease (AD) agitation is a distressing neuropsychiatric symptom characterized by excessive motor activity, verbal aggression, or physical aggression. Agitation is one of the causes of caregiver distress, increased morbidity and mortality, and early institutionalization in patients with AD. Current medications used for the management of agitation have modest efficacy and have substantial side effects.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
School of Pharmacy, Chapman University, Irvine, CA, USA.
Background: Although novel treatments for Alzheimer's disease (AD) have begun to show modest therapeutic effects, agents that target hallmark AD pathology and offer neuroprotection are desired. Erythropoietin (EPO) is a glycoprotein hormone with neuroprotective effects but is faced with challenges including limited brain uptake and increased hematopoietic side effects with long-term dosing. Therefore, EPO has been modified and bound to a chimeric transferrin receptor monoclonal antibody (cTfRMAb); the latter shuttles EPO past the blood-brain barrier (BBB) into brain parenchyma and reduces its plasma exposure and potential for side effects.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The University of Texas Health Science Center at Houston, Houston, TX, USA.
Background: Developing drugs for treating Alzheimer's disease (AD) has been extremely challenging and costly due to limited knowledge on underlying biological mechanisms and therapeutic targets. Repurposing drugs or their combination has shown potential in accelerating drug development due to the reduced drug toxicity while targeting multiple pathologies.
Method: To address the challenge in AD drug development, we developed a multi-task machine learning pipeline to integrate a comprehensive knowledge graph on biological/pharmacological interactions and multi-level evidence on drug efficacy, to identify repurposable drugs and their combination candidates RESULT: Using the drug embedding from the heterogeneous graph representation model, we ranked drug candidates based on evidence from post-treatment transcriptomic patterns, mechanistic efficacy in preclinical models, population-based treatment effect, and Phase 2/3 clinical trials.
Alzheimers Dement
December 2024
Imperial College London, London, United Kingdom; Division of Neurology, Department of Brain Sciences, Imperial College London, United Kingdom, London, London, United Kingdom.
Background: Liraglutide is a glucagon-like peptide-1 (GLP-1) analogue licensed for the treatment of type 2 diabetes mellitus (T2DM). Preclinical evidence in transgenic models of Alzheimer's disease suggests that liraglutide exerts neuroprotective effects by reducing amyloid oligomers, normalising synaptic plasticity and cerebral glucose uptake, and increasing the proliferation of neuronal progenitor cells.
Method: This is a multi-centre, randomised, double-blind, placebo-controlled, phase IIb trial of liraglutide in participants with mild to moderate Alzheimer's dementia, conducted at several centres in the UK.
Alzheimers Dement
December 2024
Case Western Reserve University, Cleveland, OH, USA.
Background: Traumatic Brain Injury (TBI) is one of the most common nonheritable causes of Alzheimer's disease (AD). However, there is lack of effective treatment for both AD and TBI. We posit that network-based integration of multi-omics and endophenotype disease module coupled with large real-world patient data analysis of electronic health records (EHR) can help identify repurposable drug candidates for the treatment of TBI and AD.
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