Sağır Süleyman, Unsal Velid, Oner Erkan, Yıldız Reşit, Mert Başak Doğru
Department of Urology, Faculty of Medicine, Mardin Artuklu University, Mardin, 47200, Türkiye.
Department of Nutrition and Dietetics, Faculty of Health Sciences, Mardin Artuklu University, Mardin, 47200, Türkiye.
BMC Urol. 2025 Mar 11;25(1):47. doi: 10.1186/s12894-025-01727-5.
Erectile dysfunction (ED) is a urological condition defined as the inability of a man to achieve or maintain an erection. This condition negatively affects his sexual performance and the performance of his partner. Phosphodiesterase type 5 (PDE5) inhibitors are commonly used to treat ED. Arginase II plays an important role in regulating L-arginine to NO synthase in the smooth muscle of the human corpus cavernosum of the penis. NO is a molecule essential for regulating a variety of functions, including arterial blood pressure, penile erection, and energy balance. Substances such as vardenafil, alprostadil, papaverine, and resveratrol increase NO production, thereby supporting sexual function and vascular health. Additionally, NO donors such as L-arginine, L-citrulline, and α-lipoic acid provide effective alternatives when used in combination with PDE5 inhibitors. Medications used in the treatment of ED include vardenafil, alprostadil, and papaverine. In addition, although molecules such as L-arginine, citrulline, resveratrol, alpha-lipoic acid, and rutin are thought to play a role in ED, their pharmacological and molecular effects have not been sufficiently elucidated. The aim of this study was to investigate the effects of these molecules in the treatment of ED by computer-based calculations, to obtain new information about them and to inspire new treatment strategies for ED. The physicochemical, molecular and pharmacokinetic properties of the compounds were determined by SwissADME software, and ADMET (absorption, distribution, metabolism, excretion and toxicity) data were determined by ADMETlab 3.0 software. Biological target and activity data were obtained by MolPredictX and PASS Online software. While the Gaussian 09 program was used for DFT calculations, PyMOL, AutodockTools 4.2.6, AutoDock Vina, and Biovia Discovery programs were used for molecular docking studies. It was found that L-arginine, citrulline, resveratrol and α-lipoic acid were well absorbed from the intestine, while rutin showed limited absorption. When their metabolic risks were evaluated, L-arginine and citrulline were found to have lower toxicity. Molecular docking results of rutin and resveratrol were remarkable. The electronic properties of the compounds were explained by DFT calculations. L-arginine and citrulline were found to have low toxicity and positive therapeutic effects. L-arginine and citrulline stand out as promising candidates for future research. Although resveratrol data are promising, unfortunately their potential toxicity and metabolic interactions require further investigation. It is important to learn more about these compounds or conduct research to improve their therapeutic efficacy. Although computer-based calculations play an important role in toxicity predictions, drug interactions, pharmacokinetics and toxicity properties should be carefully evaluated.
勃起功能障碍(ED)是一种泌尿外科疾病,定义为男性无法达到或维持勃起状态。这种情况会对其性功能以及性伴侣的性体验产生负面影响。5型磷酸二酯酶(PDE5)抑制剂常用于治疗ED。精氨酸酶II在调节阴茎海绵体平滑肌中L-精氨酸向一氧化氮合酶的转化过程中起重要作用。一氧化氮是调节多种功能(包括动脉血压、阴茎勃起和能量平衡)所必需的分子。伐地那非、前列地尔、罂粟碱和白藜芦醇等物质可增加一氧化氮的生成,从而支持性功能和血管健康。此外,L-精氨酸、L-瓜氨酸和α-硫辛酸等一氧化氮供体与PDE5抑制剂联合使用时可提供有效的替代方案。用于治疗ED的药物包括伐地那非、前列地尔和罂粟碱。此外,尽管L-精氨酸、瓜氨酸、白藜芦醇、α-硫辛酸和芦丁等分子被认为在ED中起作用,但其药理和分子作用尚未得到充分阐明。本研究的目的是通过基于计算机的计算来研究这些分子在治疗ED中的作用,获取有关它们的新信息,并激发ED的新治疗策略。通过SwissADME软件确定化合物的物理化学、分子和药代动力学性质,并通过ADMETlab 3.0软件确定ADMET(吸收、分布、代谢、排泄和毒性)数据。通过MolPredictX和PASS Online软件获得生物靶点和活性数据。使用Gaussian 09程序进行密度泛函理论(DFT)计算,同时使用PyMOL、AutodockTools 4.2.6、AutoDock Vina和Biovia Discovery程序进行分子对接研究。发现L-精氨酸、瓜氨酸、白藜芦醇和α-硫辛酸在肠道中吸收良好,而芦丁的吸收有限。在评估它们的代谢风险时,发现L-精氨酸和瓜氨酸的毒性较低。芦丁和白藜芦醇的分子对接结果显著。通过DFT计算解释了化合物的电子性质。发现L-精氨酸和瓜氨酸毒性低且具有积极的治疗效果。L-精氨酸和瓜氨酸是未来研究中很有前景的候选药物。尽管白藜芦醇的数据很有前景,但不幸的是,其潜在毒性和代谢相互作用需要进一步研究。更多地了解这些化合物或开展研究以提高其治疗效果很重要。尽管基于计算机的计算在毒性预测中发挥着重要作用,但药物相互作用、药代动力学和毒性性质仍应仔细评估。