Cynthichlorine Extracted from Ascidian Cynthia savignyi from Djibouti: Optimization of Extraction, In Vitro Anticancer Profiling, and In Silico Approach

Marine Drugs, Год журнала: 2025, Номер 23(4), С. 172 - 172

Опубликована: Апрель 16, 2025

This work focuses on the extraction of cynthichlorine from ascidian Cynthia savignyi, a molecule that has potential promise as an anticancer agent. The main objective was to optimize conditions and evaluate cytotoxic activity in tumor cell lines. Two methods, maceration Soxhlet extraction, were compared, with showing significantly higher yield (2.2 ± 0.2%) compared (1.0 0.2%). An optimization factors influencing performed using Box–Behnken method, temperature time have negative impact yield, optimal being below 25 °C those 12 h. Cytotoxic assessment revealed marked inhibition growth all tested lines (U87-MG, U2OS, NCI-N87, HCT116, A2780), IC50 values ranging 0.162 µg/mL U87-MG 0.576 NCI-N87. Finally, computational analysis showed exhibits high electronic stability notable affinity for some biological targets, including NM23-H2, suggesting its targeted therapy cancer treatment. These results pave way future studies therapeutic use cynthichlorine.

Язык: Английский

Unlocking the power of antimicrobial peptides: advances in production, optimization, and therapeutics

Frontiers in Cellular and Infection Microbiology, Год журнала: 2025, Номер 15

Опубликована: Апрель 28, 2025

Antimicrobial peptides (AMPs) are critical effectors of innate immunity, presenting a compelling alternative to conventional antibiotics amidst escalating antimicrobial resistance. Their broad-spectrum efficacy and inherent low resistance development countered by production challenges, including limited yields proteolytic degradation, which restrict their clinical translation. While chemical synthesis offers precise structural control, it is often prohibitively expensive complex for large-scale production. Heterologous expression systems provide scalable, cost-effective platform, but necessitate optimization. This review comprehensively examines established emerging AMP strategies, encompassing fusion protein technologies, molecular engineering approaches, rational peptide design, post-translational modifications, with an emphasis on maximizing yield, bioactivity, stability, safety. Furthermore, we underscore the transformative role artificial intelligence, particularly machine learning algorithms, in accelerating discovery optimization, thereby propelling expanded therapeutic application contributing global fight against drug-resistant infections.

Язык: Английский