This Article supports Sustainable Development Goal 3 by describing a cohort characterization model for Alzheimer’s Disease built on medications and diagnoses data that are widely available in a structured format in electronic health records (EHRs), showing that standard machine learning applied to sequences of EHR data can produce scalable computational characterization of Alzheimer’s disease cohorts.
This Article supports Sustainable Development Goal 3 by highlighting differential effects of sleep disturbances on resting-state neural activity in patients on the Alzheimer's disease spectrum relative to healthy adults, suggesting a key role of sleep disturbances in the neurophysiological changes seen in Alzheimer's disease, with implications for basic research and clinical intervention.
This Comment article supports SDG 3 and 16 by highlighting how complex humanitarian settings have become fertile environments for spreading misinformation, disinformation, and malinformation, and how the 2021 release of the Oxford Statement on International Law Protection in Cyberspace, which touches on sovereignty, incitement, human rights, criminal law, general rules of international humanitarian law, and international criminal law, is an important first step to address this type of disinformation.
This News item supports SDG 3 by describing the work of the PAHO Commission on Mental Health and COVID-19, which was created in order to improve mental health care in the Latin America and Caribbean region in light of the mental health crisis resulting from the pandemic. The article describes the 10 recommendations set forth by the Commission, and the opportunities and implications of these recommendations.
In this episode of the “World We Want” podcast series, the editors of the new book Oceans and Human Health: Opportunities and Impacts talk to Márcia Balisciano about about the fascinating connections between the ocean and human health, spanning from wellbeing and mental health, to medicinal resources, plastics, food and nutrition, and the health risks of polluted oceans.
The authors explore automatic and early detection methods for Alzheimer’s disease (AD) using deep learning techniques in order to improve the speed and accessibility of current testing methods. They propose a deep transfer learning model as a new approach for accurately detecting categories of Alzheimer's disease. The research serves SDG 3's aim in highlighing and seeking better treatment for AD, an increasingly serious global public health issue.
This is a Personal View discussing socioeconomic risk factors for dementia in women in Latin American Countries, with emphasis on gender roles and expectations that can infleuence the onset and prevalence of dementia
Tuberculosis is often reported in people with HIV. In this secondary post-hoc analysis of the A5274 REMEMBER clinical trial, the authors identified that people with HIV and moderate-to-severe anaemia had a higher incidence of TB than those with HIV who did not have anaemia. Addressing two key diseeases listed in SDG 3.3 (HIV and TB), the authors call for close monitoring of people with HIV and anaemia.
This study underscores a novel mechanism(s) underlying HIV-1 Tat-mediated ferroptosis and microglial activation involving miR-204–ACSL4 signaling.
In this study, a novel reporter substrate named C8CF3-coumarin was synthesized and then characterized, an assay protocol was developed to identify small molecular activators of PLCγ enzymes, and a proof-of-principle high throughput screen was conducted using PLCγ2 and the LOPAC1280 library. These studies showed that C8CF3-coumarin could indeed monitor PLCγ enzyme activity and identify potential small molecule activators from a screen. The identification of such small molecule PLCγ2 activators would be of great utility to the Alzheimer's disease research community by serving as both chemical probes to study the modulation of PLCγ2 and as potential therapeutic agents.
