Target Cell Extraction and Spectrum-Effect Relationship Coupled with BP Neural Network Classification for Screening Potential Bioactive Components in Ginseng Extract with a Protective Effect against Myocardial Damage

被引:2
|
作者
Li, Junyi [1 ,2 ]
Lin, Min [1 ,2 ]
Xie, Zexin [1 ,2 ]
Chen, Liwenyu [1 ,2 ]
Qi, Jin [1 ,2 ]
Yu, Boyang [1 ,2 ]
机构
[1] China Pharmaceut Univ, Res Ctr Traceabil & Standardizat TCMs, Sch Tradit Chinese Pharm, Nanjing 211198, Peoples R China
[2] China Pharmaceut Univ, Sch Tradit Chinese Pharm, Jiangsu Key Lab TCM Evaluat & Translat Res, Nanjing 211198, Peoples R China
来源
MOLECULES | 2024年 / 29卷 / 09期
基金
中国国家自然科学基金;
关键词
red ginseng; gray relationship analysis: partial least squares discrimination analysis; target cell extraction; bioactive compounds; BP neural network classification; CARDIOMYOCYTE; HYPERTROPHY; ANTIOXIDANT; INJURY; HEART; RE;
D O I
10.3390/molecules29092028
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Cardiovascular disease has become a common ailment that endangers human health, having garnered widespread attention due to its high prevalence, recurrence rate, and sudden death risk. Ginseng possesses functions such as invigorating vital energy, enhancing vein recovery, promoting body fluid and blood nourishment, calming the nerves, and improving cognitive function. It is widely utilized in the treatment of various heart conditions, including palpitations, chest pain, heart failure, and other ailments. Although numerous research reports have investigated the cardiovascular activity of single ginsenoside, there remains a lack of systematic research on the specific components group that predominantly contribute to cardiovascular efficacy in ginseng medicinal materials. In this research, the spectrum-effect relationship, target cell extraction, and BP neural network classification were used to establish a rapid screening system for potential active substances. The results show that red ginseng extract (RGE) can improve the decrease in cell viability and ATP content and inhibit the increase in ROS production and LDH release in OGD-induced H9c2 cells. A total of 70 ginsenosides were identified in RGE using HPLC-Q-TOF-MS/MS analysis. Chromatographic fingerprints were established for 12 batches of RGE by high-performance liquid chromatography (HPLC). A total of 36 common ingredients were found in 12 batches of RGE. The cell viability, ATP, ROS, and LDH of 12 batches RGE were tested to establish gray relationship analysis (GRA) and partial least squares discrimination analysis (PLS-DA). BP neural network classification and target cell extraction were used to narrow down the scope of Spectral efficiency analysis and screen the potential active components. According to the cell experiments, RGE can improve the cell viability and ATP content and reduce the oxidative damage. Then, seven active ingredients, namely, Ginsenoside Rg1, Rg2, Rg3, Rb1, Rd, Re, and Ro, were screened out, and their cardiovascular activity was confirmed in the OGD model. The seven ginsenosides were the main active substances of red ginseng in treating myocardial injury. This study offers a reference for quality control in red ginseng and preparations containing red ginseng for the management of cardiovascular diseases. It also provides ideas for screening active ingredients of the same type of multi-pharmacologically active traditional Chinese medicines.
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页数:14
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