Disulfiram-Loaded Nanoparticles Inhibit Long-Term Proliferation on Preadipocytes.

Introduction: Disulfiram (DSF) reduces insulin resistance and weight gain in obese mice. However, the effect on adipose tissue is unexplored due to their high instability under physiological conditions, limiting clinical applications. Thus, it is meaningful to develop a DSF carrier for sustained release to adipose tissue.

Silk Fibroin Nanoparticles as a Drug Delivery System of 3,3'-Diindolylmethane with Potential Antiobesogenic Activity.

Obesity is a global disease characterized by excessive lipid accumulation in the adipose tissue. There is an urgent need to explore alternative compounds to treat obesity. Low-molecular-weight compounds from plants, like 3,3'-diindolylmethane (DIM), are emerging as potential alternatives for obesity treatment.

Bioprospection of rattlesnake venom peptide fractions with anti-adipose and anti-insulin resistance activity .

Animal venoms are natural products that have served as a source of novel molecules that have inspired novel drugs for several diseases, including for metabolic diseases such as type-2 diabetes and obesity. From venoms, toxins such as exendin-4 () and crotamine () have demonstrated their potential as treatments for obesity. Moreover, other toxins such as Phospholipases A and Disintegrins have shown their potential to modulate insulin secretion in vitro.

Advances in Light-Responsive Smart Multifunctional Nanofibers: Implications for Targeted Drug Delivery and Cancer Therapy.

Over the last decade, scientists have shifted their focus to the development of smart carriers for the delivery of chemotherapeutics in order to overcome the problems associated with traditional chemotherapy, such as poor aqueous solubility and bioavailability, low selectivity and targeting specificity, off-target drug side effects, and damage to surrounding healthy tissues. Nanofiber-based drug delivery systems have recently emerged as a promising drug delivery system in cancer therapy owing to their unique structural and functional properties, including tunable interconnected porosity, a high surface-to-volume ratio associated with high entrapment efficiency and drug loading capacity, and high mass transport properties, which allow for controlled and targeted drug delivery. In addition, they are biocompatible, biodegradable, and capable of surface functionalization, allowing for target-specific delivery and drug release.

Analyzing Dropout in Alcohol Recovery Programs: A Machine Learning Approach.

: Retention in treatment is crucial for the success of interventions targeting alcohol use disorder (AUD), which affects over 100 million people globally. Most previous studies have used classical statistical techniques to predict treatment dropout, and their results remain inconclusive. This study aimed to use novel machine learning tools to identify models that predict dropout with greater precision, enabling the development of better retention strategies for those at higher risk.