Integrative Network Pharmacology and ADMET Modeling Reveal the Multitarget Therapeutic Potential of Geraniol

Abstract

Background: Geraniol is an acyclic monoterpene widely distributed in the essential oils of aromatic species such as Cymbopogon citratus, Pelargonium graveolens, and Rosa damascena, It is known for its antioxidant, anti-inflammatory, neuroprotective, and antitumor activities. Methods: This study aimed to investigate, through network pharmacology and computational ADMET modeling, the molecular mechanisms and pharmacological potential of geraniol, integrating drug-likeness parameters, toxicity prediction, and multitarget interactions. Results: A total of 25 core targets were identified, mainly involved in inflammation, oxidative stress, apoptosis, and transcriptional regulation. Geraniol exhibited a favorable drug-likeness profile, high predicted intestinal absorption, and low systemic toxicity, supporting its pharmaceutical applicability. Mechanistically, it modulates the Nrf2/HO-1 ↔ NF-κB axis, reducing reactive oxygen species, pro-inflammatory cytokines (TNF-α, IL-1β, IL-6), and apoptotic markers (caspases, Bax), while enhancing antioxidant enzymes (SOD, CAT, GPx) and antiapoptotic proteins (Bcl-2). Conclusions: These findings confirm its multitarget and pleiotropic nature, highlighting its potential as a therapeutic candidate for inflammatory, metabolic, and neurodegenerative disorders. Furthermore, this study provides a robust mechanistic rationale for future in vitro and in vivo validation, as well as for the design of nanostructured formulations to improve geraniol’s bioavailability and therapeutic safety.