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基于谱效关系结合化学计量学方法探索芪萸三龙汤抗氧化、抑制非小细胞肺癌的潜在活性成分

Discovering the potential active ingredients of Qi-Yu-San-Long decoction for anti-oxidation, inhibition of non-small cell lung cancer based on the spectrum-effect relationship combined with chemometric methods.

作者信息

Huang Mengwen, Li Ruijuan, Yang Mo, Zhou An, Wu Hong, Li Zegeng, Wu Huan

机构信息

Key Laboratory of Xin'an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, China.

Anhui Province Key Laboratory of Chinese Medicinal Formula & Anhui Province Key Laboratory of Research and Development of Chinese Medicine, Hefei, China.

出版信息

Front Pharmacol. 2022 Oct 19;13:989139. doi: 10.3389/fphar.2022.989139. eCollection 2022.

Abstract

Qi-Yu-San-Long decoction (QYSLD), a traditional Chinese medicine (TCM) prescription, consisting of ten types of herbal medicine which has significant clinical efficacy in the treatment of non-small cell lung cancer (NSCLC). However, the bioactive ingredients of QYSLD remain unclear, due to their "multi-ingredients" and "multi-targets" features. This study aimed to construct a spectrum-effect correlation analysis model and screen the potential active components of QYSLD. A fingerprint method based on ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF-MS) was developed and validated to obtain seventy common peaks of ten batches of QYSLD. The results of methodological evaluation, including precision, repeatability and stability, were less than 8.19%. In terms of linearity, eleven common components did not reach the linear standard (R < 0.99), they were removed before spectrum-effect relationship analysis. After treated with ten batches of QYSLD, the results of DPPH and FRAP assays ranged from 1.59 to 5.50 mg mL and 143.83-873.83 μmol L, respectively. Meanwhile, the cell viabilities of A549 cells treated with QYSLD samples ranged from 21.73% to 85.71%. The relative healing rates ranged from 21.50% to 44.46%. The number of migrated and invaded cells ranged from 12.00 to 68.67 and 7.67 to 27.00, respectively. Then, the potential active components of QYSLD were screened through spectrum-effect relationship constructed by grey correlation analysis (GRA), partial least squares regression (PLSR) and backpropagation neural network (BP-ANN). The results were as follow: 1) eight ingredients of QYSLD were relevant to DPPH free radical scavenging ability; 2) nine ingredients were relevant to FRAP; 3) six ingredients were relevant to inhibit the proliferation ability of A549 cells; 4) twenty-two ingredients were relevant to inhibit the horizontal migration ability; 5) five ingredients were relevant to inhibit the vertical migration ability; 6) twelve ingredients were relevant to inhibit the invasion ability. Confirmatory experiments showed that compared with the unscreened ingredients, the potential active ingredients screened by the spectrum-effect relationship had better antioxidant and anti-NSCLC effects. In general, this study found the potential active ingredients in QYSLD. Meanwhile, the established method provided a valuable reference model for the potential active ingredients of TCM.

摘要

芪榆三龙汤(QYSLD)是一种中药方剂,由十种草药组成,在治疗非小细胞肺癌(NSCLC)方面具有显著的临床疗效。然而,由于其“多成分”和“多靶点”的特点,QYSLD的生物活性成分尚不清楚。本研究旨在构建谱效关系分析模型并筛选QYSLD的潜在活性成分。建立并验证了一种基于超高效液相色谱-四极杆飞行时间质谱(UPLC-Q/TOF-MS)的指纹图谱方法,以获得十批QYSLD的70个共有峰。方法学评价结果,包括精密度、重复性和稳定性,均小于8.19%。在线性方面,11种常见成分未达到线性标准(R<0.99),在进行谱效关系分析前将其去除。用十批QYSLD处理后,DPPH和FRAP测定结果分别为1.59至5.50mg/mL和143.83 - 873.83μmol/L。同时,用QYSLD样品处理的A549细胞的细胞活力范围为21.73%至85.71%。相对愈合率范围为21.50%至44.46%。迁移和侵袭细胞的数量分别为12.00至68.67和7.67至27.00。然后,通过灰色关联分析(GRA)、偏最小二乘回归(PLSR)和反向传播神经网络(BP-ANN)构建的谱效关系筛选QYSLD的潜在活性成分。结果如下:1)QYSLD的8种成分与DPPH自由基清除能力相关;2)9种成分与FRAP相关;3)6种成分与抑制A549细胞增殖能力相关;4)22种成分与抑制水平迁移能力相关;5)5种成分与抑制垂直迁移能力相关;6)12种成分与抑制侵袭能力相关。验证实验表明,与未筛选的成分相比,通过谱效关系筛选出的潜在活性成分具有更好的抗氧化和抗NSCLC作用。总体而言,本研究发现了QYSLD中的潜在活性成分。同时,所建立的方法为中药潜在活性成分提供了有价值的参考模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6318/9627220/c2c42275301c/fphar-13-989139-g001.jpg

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