Pharmacokinetics, Pharmacodynamics and Bioavailability of ACM-001.1 (S-Pindolol Benzoate) in Healthy Volunteers.

Background: S-pindolol has metabolic effects of potential benefit in cancer cachexia: reduced catabolism through nonselective β-blockade; increased anabolism through partial β2 receptor agonism; and increased appetite and reduced fatigue through central 5-hydroxytryptamine/serotonin receptor activity. A Phase 2a clinical trial demonstrated that S-pindolol can reverse weight loss and improve fat-free mass in patients with cancer-related weight loss. A comparative phase I bioavailability study of S-pindolol and racemic pindolol was performed to support the development of S-pindolol in cancer cachexia.

The ENACT network is acting on housing instability and the unhoused using the open health natural language processing toolkit.

Housing is an environmental social determinant of health that is linked to mortality and clinical outcomes. We developed a lexicon of housing-related concepts and rule-based natural language processing methods for identifying these housing-related concepts within clinical text. We piloted our methods on several test cohorts: a synthetic cohort generated by ChatGPT for initial infrastructure testing, a cohort with substance use disorders (SUD), and a cohort diagnosed with problems related to housing and economic circumstances (HEC).

Identification of disease-specific extracellular vesicle-associated plasma protein biomarkers for Duchenne Muscular Dystrophy and Facioscapulohumeral Muscular Dystrophy.

Objective: Reliable, circulating biomarkers for Duchenne, Becker and facioscapulohumeral muscular dystrophies (DBMD and FSHD) remain unvalidated. Here, we investigated the plasma extracellular vesicle (EV) proteome to identify disease-specific biomarkers that could accelerate therapy approvals.

Methods: We extracted EVs from the plasma of DBMD and FSHD patients and healthy controls using size-exclusion chromatography, conducted mass spectrometry on the extracted EV proteins, and performed comparative analysis to identify disease-specific biomarkers.

YouTube for young children: What are infants and toddlers watching on the most popular video-sharing app?

Background: Infants and toddlers engage with digital media about 1-3 hours per day with a growing proportion of time spent on YouTube.

Aim: Examined content of YouTube videos viewed by children 0-35.9 months of age and predictors of YouTube content characteristics.