Elsevier,
Measurement: Sensors, Volume 27, June 2023
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.
eClinicalMedicine, Volume 60, June 2023
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.
Elsevier,
Redox Biology, Volume 62, June 2023
SCFA contribute to the glutamate-glutamine shuttle by acting on glutamine synthetase. Long-term SCFA diet alleviates cognitive and spatial memory defeat in APP/PS1 mice. Long-term SCFA diet reduces Aβ deposition and abnormal phosphorylation of tau. SCFA promote astrocyte-neuron metabolic coupling to reduce oxidative damage.
Elsevier,
SLAS Discovery, Volume 28, June 2023
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.
