Spontaneous Mammary Neoplasia, Cannabidiol Exposure, Aryl Hydrocarbon Receptors, and More Featured in July 2021 Toxicological Sciences

Toxicological Sciences delivers the latest toxicology research in the July 2021 issue. The issue features investigations in delivers the latest toxicology research in areas such as exposure to delta-9-tetrahydrocannabinol and cannabidiol, effects of ENDS vapors on amino acid metabolism, and more.

Exploring Amino Acids Signaling as Intervention for Diabetes and Pancreatic Cancers

Researchers from Rutgers Cancer Institute of New Jersey previously identified a small protein called Rab1A that regulates amino acid signaling. In a recent study, researchers explored the physiological role of Rab1A in mammals using mice though a technique in which one of an organism’s genes is made inoperative, known as genetic knockout.

Positive Data Reported in a Multinational Clinical Trial Investigating New Treatment of Niemann-Pick disease Type C

A multinational clinical trial of for the treatment of Niemann-Pick disease Type C (NPC) demonstrated a statistically significant and clinically meaningful improvement in symptoms, functioning, and quality of life in both primary and topline secondary endpoints for both pediatric and adult patients with NPC.

Does Leucine Supplementation Contribute to Muscle Growth in Exercising, Healthy Adults?

Protein intake and resistance exercise are the cornerstone to muscle growth. Following protein ingestion, increased blood and/or intramuscular leucine concentration is considered the main nutrient-derived driver of muscle protein synthesis, leading to a speculation that leucine supplementation could improve muscle…

Composing New Proteins with Artificial Intelligence

Proteins are the building blocks of life and scientists have long studied how to improve them or design new ones. Traditionally, new proteins are created by mimicking existing proteins or manually editing their amino acids. This process is time-consuming, and it is difficult to predict the impact of changing an amino acid. In APL Bioengineering, researchers explore how to create new proteins by using machine learning to translate protein structures into musical scores, presenting an unusual way to translate physics concepts across domains.