State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Pharm Biol. 2021 Dec;59(1):1334-1350. doi: 10.1080/13880209.2021.1979051.
Tangwang Mingmu granule (TWMM), a traditional Chinese medicine, has been widely used in the treatment of diabetic retinopathy (DR), the most common microvascular complication in diabetes mellitus.
To establish a method to select target compounds from herbs for a pharmacokinetic study using network pharmacology, which could be applied in clinical settings.
First, UPLC/Q Exactive Q-Orbitrap and GCMS 2010 were used to determine the non-volatile and volatile ingredients of TWMM. Based on the identified compounds, network pharmacology was used to screen the key compounds and targets of TWMM in the treatment of DR. Based on the compound-target-pathway network and identification of components emigrant into blood, the potential compound markers were chosen. Then, Sprague-Dawley (SD) rats were administrated of TWMM at a 9.6 g/kg dose to investigating pharmacokinetic parameters using the UPLC-QQQ-MS.
Ninety and forty-five compounds were identified by UPLC-MS and GC-MS, respectively. Based on the network pharmacology, nine compounds with a degree value above 15 were screened and implied that these compounds are the most active in DR treatment. Moreover, criteria of degree value greater than 7 were applied, and PTGS2, NOS2, AKT1, ESR1, TNF, and MAPK14 were inferred as the core targets in treating DR. After identification of components absorbed into blood, luteolin and formononetin were selected and used to investigate the pharmacokinetic parameters of TWMM after its oral administration.
The reported strategy provides a method that combines ingredient profiling, network pharmacology, and pharmacokinetics to determine luteolin and formononetin as the pharmacokinetic markers of TWMM. This strategy provides a clinically relevant methodology that allows for the screening of pharmacokinetic markers in Chinese medicines.
糖网明目颗粒(TWMM)是一种中药,已广泛用于治疗糖尿病视网膜病变(DR),这是糖尿病最常见的微血管并发症。
建立一种使用网络药理学从草药中选择目标化合物进行药代动力学研究的方法,该方法可应用于临床环境。
首先,使用 UPLC/Q Exactive Q-Orbitrap 和 GCMS 2010 来确定 TWMM 的非挥发性和挥发性成分。基于鉴定出的化合物,使用网络药理学筛选 TWMM 治疗 DR 的关键化合物和靶点。基于化合物-靶点-通路网络和鉴定出的成分进入血液,选择潜在的化合物标志物。然后,用 TWMM 以 9.6 g/kg 的剂量对 Sprague-Dawley(SD)大鼠进行给药,使用 UPLC-QQQ-MS 来研究药代动力学参数。
通过 UPLC-MS 和 GC-MS 分别鉴定出 90 种和 45 种化合物。基于网络药理学,筛选出 9 种程度值大于 15 的化合物,这些化合物被认为是治疗 DR 最活跃的化合物。此外,应用程度值大于 7 的标准,推断 PTGS2、NOS2、AKT1、ESR1、TNF 和 MAPK14 为治疗 DR 的核心靶点。在鉴定出进入血液的成分后,选择木犀草素和芒柄花素作为 TWMM 口服后的药代动力学参数进行研究。
该报告的策略提供了一种将成分分析、网络药理学和药代动力学相结合的方法,以确定木犀草素和芒柄花素为 TWMM 的药代动力学标志物。该策略提供了一种与临床相关的方法,可用于筛选中药中的药代动力学标志物。