Yasgar Adam, Bougie Danielle, Eastman Richard T, Huang Ruili, Itkin Misha, Kouznetsova Jennifer, Lynch Caitlin, McKnight Crystal, Miller Mitch, Ngan Deborah K, Peryea Tyler, Shah Pranav, Shinn Paul, Xia Menghang, Xu Xin, Zakharov Alexey V, Simeonov Anton
National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
ACS Pharmacol Transl Sci. 2023 Apr 14;6(5):683-701. doi: 10.1021/acsptsci.2c00194. eCollection 2023 May 12.
Dietary supplements and natural products are often marketed as safe and effective alternatives to conventional drugs, but their safety and efficacy are not well regulated. To address the lack of scientific data in these areas, we assembled a collection of Dietary Supplements and Natural Products (DSNP), as well as Traditional Chinese Medicinal (TCM) plant extracts. These collections were then profiled in a series of high-throughput screening assays, including a liver cytochrome p450 enzyme panel, CAR/PXR signaling pathways, and P-glycoprotein (P-gp) transporter assay activities. This pipeline facilitated the interrogation of natural product-drug interaction (NaPDI) through prominent metabolizing pathways. In addition, we compared the activity profiles of the DSNP/TCM substances with those of an approved drug collection (the NCATS Pharmaceutical Collection or NPC). Many of the approved drugs have well-annotated mechanisms of action (MOAs), while the MOAs for most of the DSNP and TCM samples remain unknown. Based on the premise that compounds with similar activity profiles tend to share similar targets or MOA, we clustered the library activity profiles to identify overlap with the NPC to predict the MOAs of the DSNP/TCM substances. Our results suggest that many of these substances may have significant bioactivity and potential toxicity, and they provide a starting point for further research on their clinical relevance.
膳食补充剂和天然产品常常作为传统药物的安全有效替代品进行销售,但其安全性和有效性并未得到很好的监管。为解决这些领域科学数据的匮乏问题,我们收集了一系列膳食补充剂和天然产品(DSNP)以及中药植物提取物。然后,对这些收集物进行了一系列高通量筛选分析,包括肝细胞色素P450酶组、CAR/PXR信号通路以及P-糖蛋白(P-gp)转运体分析活性。该流程通过主要代谢途径促进了天然产物-药物相互作用(NaPDI)的研究。此外,我们将DSNP/中药物质的活性谱与已批准药物集(美国国立转化医学科学研究所药物集或NPC)的活性谱进行了比较。许多已批准药物具有注释详尽的作用机制(MOA),而大多数DSNP和中药样品的作用机制仍不明确。基于具有相似活性谱的化合物往往共享相似靶点或作用机制这一前提,我们对文库活性谱进行聚类,以确定与NPC的重叠部分,从而预测DSNP/中药物质的作用机制。我们的结果表明,这些物质中的许多可能具有显著的生物活性和潜在毒性,并且为进一步研究它们的临床相关性提供了一个起点。