10.3390/polym8030084

Vollständiger Abstract

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Chronic diseases and aging-related disorders are driven by interconnected mechanisms, including oxidative stress, low-grade inflammation, metabolic dysregulation, and glycation. Targeting these overlapping pathways remains a major challenge for conventional single-target therapeutics. In this context, endophytic fungi have emerged as a promising source of bioactive metabolites with multi-target pharmacological potential. This review provides a mechanistic overview of endophyte-derived metabolites, including alkaloids, terpenoids, polyketides, and phenolic compounds, with a focus on their ability to modulate key signaling pathways such as NF-κB, Nrf2, PI3K/Akt, AMPK, and the AGE-RAGE axis. Evidence from experimental studies suggests that these metabolites exhibit anticancer, anti-inflammatory, antioxidant, and metabolic regulatory effects through coordinated modulation of cellular signaling networks. Several endophyte-derived metabolites also possess antimicrobial activity against bacterial and fungal pathogens and may represent a promising source of novel anti-infective agents. Their ability to modulate host immune responses and microbial-associated signaling pathways further highlights their relevance for antimicrobial discovery and microbiome-based therapeutic strategies. Particular attention is given to pathway-level convergence in chronic diseases, including cancer, diabetes, and inflammation-associated disorders, as well as their relevance to aging and health span. The pharmacological potential of these compounds is discussed alongside key limitations, including issues related to bioavailability, reproducibility, and translation into clinical applications. Overall, endophytic fungal metabolites represent a structurally diverse and mechanistically rich resource for the development of multi-target therapeutic strategies. Future integration of metabolomics, genome mining, and advanced disease models will be essential to bridge the gap between experimental findings and clinical application.

Abstract: PubMed · Datensatz