Sebaa Rajaa, AlMalki Reem H, Sukkarieh Hatouf, Dahabiyeh Lina A, Mogren Maha Al, Arafat Tawfiq, Mujamammi Ahmed H, Sabi Essa M, Abdel Rahman Anas M
Department of Medical Laboratories, College of Applied Medical Sciences, Shaqra University, Shaqra 11961, Saudi Arabia.
Metabolomics Section, Precision Medicine Laboratory Department, Genomics Medicine Center of Excellence, King Faisal Specialist Hospital and Research Center, Riyadh 11211, Saudi Arabia.
Pharmaceuticals (Basel). 2025 Aug 4;18(8):1155. doi: 10.3390/ph18081155.
Pharmacological interventions often exert systemic effects beyond their primary targets, underscoring the need for a comprehensive evaluation of their metabolic impact. Etodolac is a nonsteroidal anti-inflammatory drug (NSAID) that alleviates pain, fever, and inflammation by inhibiting cyclooxygenase-2 (COX-2), thereby reducing prostaglandin synthesis. While its pharmacological effects are well known, the broader metabolic impact and potential mechanisms underlying improved clinical outcomes remain underexplored. Untargeted metabolomics, which profiles the metabolome without prior selection, is an emerging tool in clinical pharmacology for elucidating drug-induced metabolic changes. In this study, untargeted metabolomics was applied to investigate metabolic changes following a single oral dose of etodolac in healthy male volunteers. By analyzing serial blood samples over time, we identified endogenous metabolites whose concentrations were positively or inversely associated with the drug's plasma levels. This approach provides a window into both therapeutic pathways and potential off-target effects, offering a promising strategy for early-stage drug evaluation and multi-target discovery using minimal human exposure. Thirty healthy participants received a 400 mg dose of Etodolac. Plasma samples were collected at five time points: pre-dose, before Cmax, at Cmax, after Cmax, and 36 h post-dose ( = 150). Samples underwent LC/MS-based untargeted metabolomics profiling and pharmacokinetic analysis. A total of 997 metabolites were significantly dysregulated between the pre-dose and Cmax time points, with 875 upregulated and 122 downregulated. Among these, 80 human endogenous metabolites were identified as being influenced by Etodolac. A total of 17 metabolites exhibited time-dependent changes closely aligned with Etodolac's pharmacokinetic profile, while 27 displayed inverse trends. Etodolac influences various metabolic pathways, including arachidonic acid metabolism, sphingolipid metabolism, and the biosynthesis of unsaturated fatty acids. These selective metabolic alterations complement its COX-2 inhibition and may contribute to its anti-inflammatory effects. This study provides new insights into Etodolac's metabolic impact under healthy conditions and may inform future therapeutic strategies targeting inflammation.
药物干预通常会产生超出其主要靶点的全身效应,这凸显了全面评估其代谢影响的必要性。依托度酸是一种非甾体抗炎药(NSAID),通过抑制环氧化酶-2(COX-2)来减轻疼痛、发热和炎症,从而减少前列腺素的合成。虽然其药理作用众所周知,但其更广泛的代谢影响以及改善临床结果的潜在机制仍未得到充分探索。非靶向代谢组学可在无需预先选择的情况下对代谢组进行分析,是临床药理学中用于阐明药物诱导的代谢变化的新兴工具。在本研究中,采用非靶向代谢组学来研究健康男性志愿者单次口服依托度酸后的代谢变化。通过分析不同时间点的系列血样,我们确定了其浓度与药物血浆水平呈正相关或负相关的内源性代谢物。这种方法为治疗途径和潜在的脱靶效应提供了一个窗口,为早期药物评估和使用最小人体暴露的多靶点发现提供了一个有前景的策略。30名健康参与者接受了400mg剂量的依托度酸。在五个时间点采集血浆样本:给药前、Cmax之前、Cmax时、Cmax之后以及给药后36小时(n = 150)。样本进行了基于液相色谱/质谱的非靶向代谢组学分析和药代动力学分析。在给药前和Cmax时间点之间,共有997种代谢物显著失调,其中875种上调,122种下调。其中,80种人类内源性代谢物被确定受依托度酸影响。共有17种代谢物表现出与依托度酸药代动力学特征密切相关的时间依赖性变化,而27种表现出相反趋势。依托度酸影响多种代谢途径,包括花生四烯酸代谢、鞘脂代谢和不饱和脂肪酸的生物合成。这些选择性代谢改变补充了其对COX-2的抑制作用,并可能有助于其抗炎作用。本研究为健康条件下依托度酸的代谢影响提供了新的见解,并可能为未来针对炎症的治疗策略提供参考。