Elbouzidi Amine, Jeddi Mohamed, Baraich Abdellah, Taibi Mohamed, Haddou Mounir, El Hachlafi Naoufal, Yahyaoui Meryem Idrissi, Bellaouchi Reda, El Guerrouj Bouchra, Chaabane Khalid, Addi Mohamed
Laboratoire d'Amélioration des Productions Agricoles, Biotechnologie et Environnement (LAPABE), Faculté des Sciences, Université Mohammed Premier, Oujda 60000, Morocco.
Laboratory of Microbial Biotechnology and Bioactive Molecules, Faculty of Sciences and Technologies, Sidi Mohamed Ben Abdellah University, Imouzzer Road, Fez P.O. Box 2202, Morocco.
Curr Issues Mol Biol. 2025 Jul 2;47(7):512. doi: 10.3390/cimb47070512.
The optimization of bioactive compound mixtures is critical for enhancing pharmacological efficacy. This study investigates, for the first time, the combined effects of eugenol, camphor, and terpineol, focusing on their half-maximal inhibitory concentrations (IC) across multiple biological responses related to diabetes management. Using a mixture design approach, the objective was to determine the optimal formulation that maximizes bioactivity and validate the findings experimentally. A simplex-centroid design was applied to evaluate the combined effects of eugenol, camphor, and terpineol on AAI , AGI , LIP , and ALR responses. The desirability function was used to determine the ideal composition. The optimized formulation was experimentally validated using in vitro assays, and IC50 values were measured for each response using standard protocols. Results: The optimal formulation identified was 44% eugenol, 0.19% camphor, and 37% terpineol, yielding IC values of 10.38 µg/mL (AAI), 62.22 µg/mL (AGI), 3.42 µg/mL (LIP), and 49.58 µg/mL (ALR). The desirability score (0.99) confirmed the effectiveness of the optimized blend. Experimental validation of the optimal mixture resulted in IC values of 11.02 µg/mL (AAI), 60.85 µg/mL (AGI), 3.75 µg/mL (LIP), and 50.12 µg/mL (ALR), showing less than 10% deviation from predicted values, indicating high model accuracy. This study confirms the combined potential of eugenol, camphor, and terpineol, with eugenol and terpineol significantly enhancing bioactivity. The validated formulation demonstrates potential for pharmaceutical and cosmeceutical applications. Future research should explore mechanistic interactions, bioavailability, and in vivo efficacy to support the development of optimized natural compound-based therapies.
生物活性化合物混合物的优化对于提高药理功效至关重要。本研究首次调查了丁香酚、樟脑和萜品醇的联合作用,重点关注它们在与糖尿病管理相关的多种生物学反应中的半数最大抑制浓度(IC)。采用混合设计方法,目的是确定使生物活性最大化的最佳配方,并通过实验验证研究结果。应用单纯形重心设计来评估丁香酚、樟脑和萜品醇对AAI、AGI、LIP和ALR反应的联合作用。使用合意性函数来确定理想组成。通过体外试验对优化后的配方进行实验验证,并使用标准方案测量每个反应的IC50值。结果:确定的最佳配方为44%丁香酚、0.19%樟脑和37%萜品醇,产生的IC值分别为10.38 µg/mL(AAI)、62.22 µg/mL(AGI)、3.42 µg/mL(LIP)和49.58 µg/mL(ALR)。合意性得分(0.99)证实了优化混合物的有效性。对最佳混合物的实验验证得到的IC值分别为11.02 µg/mL(AAI)、60.85 µg/mL(AGI)、3.75 µg/mL(LIP)和50.12 µg/mL(ALR),与预测值的偏差小于10%,表明模型准确性高。本研究证实了丁香酚、樟脑和萜品醇的联合潜力,其中丁香酚和萜品醇显著增强了生物活性。经验证的配方显示出在制药和化妆品应用方面的潜力。未来的研究应探索作用机制相互作用、生物利用度和体内疗效,以支持基于天然化合物的优化疗法的开发。