Spectrum-effect relationship between UPLC fingerprints and anti-lung cancer effect of Panax ginseng

Spectrum-effect relationship between HPLC fingerprints and antioxidant activity of Qi-Fu-Yin based on multiple statistical correlation analysis

INTRODUCTION

Qi-Fu-Yin has been used to treat Alzheimer's disease (AD) in China. Oxidative stress has been recognized as a factor in AD progress. To date, there is no quality control method to ensure batch-to-batch consistency of Qi-Fu-Yin, and the potential antioxidant compounds in Qi-Fu-Yin remain uncertain.

OBJECTIVES

The aim of this study is to identify the potential antioxidant compounds of Qi-Fu-Yin and establish quality control standards for Qi-Fu-Yin.

METHODS

High-performance liquid chromatography was used to establish and quantify the fingerprints of Qi-Fu-Yin from various batches. Ultrahigh-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UHPLC-Q-TOF/MS) was used to identify the common peaks. Bivariate correlation analysis, partial least squares regression analysis, and gray correlation analysis were used to establish the spectrum-effect relationship.

RESULTS

Forty-nine common peaks were determined through the establishment of fingerprints. Among them, 35 common peaks were preliminarily characterized. The multiple statistical correlation analysis methods identified six compounds as potential antioxidant constituents of Qi-Fu-Yin, and their antioxidant activities were validated in vitro. All six antioxidant compounds derived from two herbs. Therefore, three chemical index compounds derived from other three herbs were added to the quantitative analysis, while for two herbs, no peaks could be included. Eventually, six antioxidant constituents and three index compounds were quantitatively determined to provide a relatively comprehensive quality control for Qi-Fu-Yin.

CONCLUSIONS

The study elucidated the antioxidant substance basis of Qi-Fu-Yin and provided a relatively comprehensive approach for the assay of Qi-Fu-Yin, which is a promising advance in the quality control of Qi-Fu-Yin.

Comprehensive quality evaluation of Lysimachia christinae Hance via fingerprint, spectrum-effect relationship, and quantitative analyses of multiple components by single marker

BACKGROUND

Lysimachia christinae Hance (LCH) is a traditional medicine used to treat gallstone disease and cholecystitis. Despite its known anti-inflammatory and choleretic effects, its quality has not been extensively evaluated.

OBJECTIVE

In this study, we aimed to establish a reliable quality evaluation method for LCH via fingerprint, spectrum-effect relationship, and quantitative analyses of multicomponents by a single marker (QAMS).

METHODS

First, the fingerprints and anti-inflammatory and choleretic activities of 14 LCH batches were determined. Then, the gray relation analysis method was used to analyze the peak areas of the fingerprint profile and pharmacodynamic data. Subsequently, the characteristic peaks were tentatively identified using high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry. Finally, rutin was selected as the internal reference material, and QAMS was used to analyze the LCH components.

RESULTS

Pharmacodynamic experiments confirmed that LCH exerted anti-inflammatory and choleretic effects. Moreover, 15 flavonoids related to the anti-inflammatory and choleretic effects of LCH were identified. Notably, relative error percentage between the QAMS and external standard method was less than 5%.

CONCLUSION

This study successfully established a comprehensive evaluation method for the qualitative and quantitative analyses of LCH.

Spectrum-effect relationship study between ultra-high-performance liquid chromatography fingerprints and anti-hepatoma effect in vitro of Cnidii Fructus

Cnidii Fructus, derived from the dried ripe fruit of Cnidium monnieri (L.) Cuss, has the effect of warming kidneys and invigorating Yang. This study established the spectrum-effect relationships between ultra-high-performance liquid chromatography (UHPLC) fingerprints and the antitumor activities of Cnidii Fructus on human hepatocellular carcinoma (HepG2) cells. In UHPLC fingerprints, 19 common peaks were obtained, and 17 batches of herbs had similarity >0.948. In Cell Counting Kit-8 (CCK-8) test, 17 batches of Cnidii Fructus extract significantly inhibited the proliferation of HepG2 cells to different degrees, showing different half-maximal inhibitory concentration (IC50) values. Furthermore, gray correlation analysis, Pearson's analysis, and orthogonal partial least squares discriminant analysis were performed to screen out eight components. The analysis of mass spectrum data and a comparison with standards revealed that the eight components were methoxsalen, isopimpinellin, osthenol, imperatorin, osthole, ricinoleic acid, linoleic acid, and oleic acid. The verification experiments by testing single compounds indicated that these eight compounds were the major anti-hepatoma compounds in Cnidii Fructus. This work provides a model combining UHPLC fingerprints and antitumor activities to study the spectrum-effect relationships of Cnidii Fructus, which can be used to determine the principal components responsible for the bioactivity.

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

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.

Multi-target meridians classification based on the topological structure of anti-cancer phytochemicals using deep learning

ETHNOPHARMACOLOGICAL RELEVANCE

Traditional Chinese medicine (TCM) meridian is the key theoretical guidance of prescription against tumor in clinical practice. However, there is no scientific and systematic verification of therapeutic action of herbs under meridians context. Several studies have determined the Chinese herbal medicine (CHM) phytochemicals for intrinsic attribute or meridians classification based on artificial intelligence (AI) tools. However, it is challenging to represent the complex molecular structures with large heterogeneity through the current technologies. In addition, the multiple correspondence between herbs and meridians has not been paid much attention.

AIM OF THE STUDY

We aim to develop an AI framework to classify multi-target meridians through the topological structure of phytochemicals.

MATERIALS AND METHODS

A total of 354 anti-cancer herbs, their corresponding TCM meridians and 5471 ingredient compounds were collected from public databases of CancerHSP, ETCM, and Hit 2.0. The statistical analysis of herbal and compound datasets, clustering analysis of the associated cancers, and correlational analysis of meridian tropism were preliminary conducted. Then a deep learning (DL) hybrid model named GRMC consisting of graph convolutional network (GCN) and recurrent neural network (RNN) was employed to generate the meridian multi-label sequences based on molecular graph.

RESULTS

The curing herbs against tumors have tight relationships to lung, liver, stomach, and spleen meridians. These herbs behave different properties in curing certain cancer. Certain cancer types have co-occurrence such as ovarian, bladder and cervical cancer. Compounds have multitarget meridians with characteristics of higher-order correlations. Compared with the other state-of-the-art algorithms on the datasets and previous methods dealing with conventional fixed fingerprints of herbal compounds, the proposed GRMC has superior overall performance on testing dataset with the one error of 0.183, hamming loss of 0.112, mean averaged accuracy (MAA) of 0.855, mean averaged precision (MAP) of 0.891, mean averaged recall (MAR) of 0.812, and mean averaged F1 score (MAF) of 0.849.

CONCLUSIONS

The proposed method can predict multi-targeted meridians through neural graph features in herbal compounds and outperforms several comparison methods. It could provide a basis for understanding the molecular scientific evidence of TCM meridians.

Spectrum-effect relationship analysis based on HPLC-FT-ICR-MS and multivariate statistical analysis to reveal the pharmacodynamic substances of Ling-Gui-Zhu-Gan decoction on Alzheimer's disease

Alzheimer's disease (AD) threatens elderly human health and still lacks effective treatment. Our previous work showed that LGZGD possessed a neuroprotective effect on the Aβ25-35-induced neurotoxicity in differentiated PC12 cells, indicating that LGZGD may be a potential drug for treatment of AD. However, its pharmacodynamic substances which show anti-inflammatory and anti-oxidant stress activities are still unrevealed. This research aims to reveal the pharmacodynamic substances of LGZGD on Aβ25-35-induced PC12 cell model of AD based on a spectrum-effect relationship study by using HPLC-FT-ICR-MS method and multivariate statistical analysis. Firstly, the chemical composition spectra of different combinations of LGZGD were recorded by HPLC-FT-ICR MS. Subsequently, Aβ25-35-induced PC12 cell model of AD was established and pharmacodynamic experiments were conducted to evaluate their anti-inflammatory and anti-oxidant activities, respectively. Finally, the potential pharmacodynamic substances were screened out through spectrum-effect relationship study accompanied by multivariate statistical analysis including bivariate correlation analysis (BCA), grey relational analysis (GRA), principal component analysis (PCA), partial least squares regression analysis (PLSR). As a result, a total of 96 chemical consistents in different combinations of LGZGD were discovered. Among them, 7 components such as isoglabrolide, licorice saponin E2, licorice saponin N2 and licoisoflavanone were directly linked with the anti-inflammatory effects, and 14 constituents such as tumulosic acid, polyporenic acid C, dehydrotumulosic acid, dehydropachymic acid, and pachymic acid were directly correlated with the anti-oxidative stress activities. In conclusion, we combined the HPLC-FT-ICR-MS spectra with pharmacodynamic indicators to develop the spectrum-effect relationships of LGZGD for the first time, and successfully revealed its potential pharmacodynamic substances in the treatment of AD from the anti-inflammatory and antioxidant pathways in the cell model.

Spectrum-Effect Relationship in Chinese Herbal Medicine: Current Status and Future Perspectives

The quality of Chinese herbal medicine (CHM) directly impacts clinical efficacy and safety. Fingerprint technology is an internationally recognized method for evaluating the quality of CHM. However, the existing quality evaluation models based on fingerprint technology have blocked the ability to assess the internal quality of CHM and cannot comprehensively reflect the correlation between pharmacodynamic information and active constituents. Through mathematical methods, a connection between the "Spectrum" (fingerprint) and the "Effect" (pharmacodynamic data) was established to conduct a spectrum-effect relationship (SER) of CHM to unravel the active component information associated with the pharmacodynamic activity. Consequently, SER can efficiently address the limitations of the segmentation of chemical components and pharmacodynamic effect in CHM and further improve the quality evaluation of CHM. This review focuses on the recent research progress of SER in the field of CHM, including the establishment of fingerprint, the selection of data analysis methods, and their recent applications in the field of CHM. Various advanced fingerprint techniques are introduced, followed by the data analysis methods used in recent years are summarized. Finally, the applications of SER based on different research subjects are described in detail. In addition, the advantages of combining SER with other data are discussed through practical applications, and the research on SER is summarized and prospected. This review proves the validity and development potential of the SER and provides a reference for the development and application of quality evaluation methods for CHM.

Discovery of effective combination from Renshen-Fuzi herbal pair against heart failure by spectrum-effect relationship analysis and zebrafish models

ETHNOPHARMACOLOGICAL RELEVANCE

Traditional herbal pair Ginseng Radix et Rhizoma (roots and rhizomes of Panax ginseng C.A. Mey, Renshen in Chinese) and Aconiti Lateralis Radix Praeparata (lateral roots of Aconitum carmichaelii Debeaux, Fuzi in Chinese), composition of two traditional Chinese medicinal herbs, has been widely used in traditional Chinese medicine formula, in which Shenfu decoction has been used clinically in China for the treatment of heart failure at present.

AIM OF THE STUDY

Although the ginsenosides and aconite alkaloids have been proven as the essential bioactive components in Renshen-Fuzi herbal pair, the exact composition of effective components to combat heart failure are still unclear. Therefore, spectrum-effect relationship analysis was performed to reveal its effective combination for anti-heart failure effect.

MATERIALS AND METHODS

Firstly, the chemical constituents of Renshen-Fuzi herbal pair were identified using ultra high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-QTOF MS). The 39 major compounds in Renshen-Fuzi with five different compatibility ratios were simultaneously quantified using ultra high-performance liquid chromatography coupled with triple quadrupole tandem mass spectrometry (UHPLC-QQQ MS/MS). Subsequently, zebrafish models induced by verapamil hydrochloride were constructed and four heart failure-related indexes were selected for pharmacodynamic evaluation of Renshen-Fuzi. To analyze the spectrum-effect relationships, partial least squares regression (PLSR) models were established among the contents of 39 compounds in Renshen-Fuzi with each pharmacodynamic index. According to the contribution of each compound to the whole efficacy, 12 compounds were finally screened out as the effective combination.

RESULTS

A total of 157 chemical compounds of Renshen-Fuzi herbal pair were identified, in which 39 components were simultaneously determined. The pharmacological effects indicated that Renshen-Fuzi with 1:2 ratio exhibited the best effect based on zebrafish model, which could improve cardiac output and blood flow velocity and inhibit pericardial enlargement and venous blood stasis significantly. A combination of 9 ginsenosides and 3 aconite alkaloids based on a component-efficacy modeling by PLSR was screened, and exerted approximately equivalent pharmacological effects compared with Renshen-Fuzi herbal pair.

CONCLUSIONS

Our findings elucidated the effective combination of Renshen-Fuzi herbal pair that has been used in clinic for the treatment of heart failure, which could also promote the pharmacological research and quality control of their formula such as Shenfu decoction.

Chemical index components and quality control of Traditional Chinese Medicine: "Never change a winning team"? -A case study of volatile oil from Bupleuri radix

Chemical index components, especially those defined as quality control (QC) markers through spectrum-effect relationship approach, are commonly suggested and adopted as indicator for quality control of Traditional Chinese Medicines (TCMs). However, are chemical index components and quality control of TCMs "never change a winning team"? In this study, under the ponderation of the applicability of QC markers strategy, spectrum-effect relationship and OPLS-DA between GC×GC-MS fingerprint and inhibitory effect on the expression of extracellular secretory TNF-α of volatile oil from Bupleuri radix (BVO) was studied with the purpose of discovery of QC markers and establish a bioactive compounds-based QC method. 290 compounds of BVO were identified by GC×GC-MS. Besides, BVO had significant inhibitory effects on the expression of extracellular secretory TNF-α in a dose-dependent manner. The potency of different batches of BVOs could be distinguished with this bioassay-based method, which has been validated in terms of intermediate precision, repeatability, linearity, range and credibility tests. The QC markers of BVO were investigated by Spearman's correlation test and OPLS-DA. It is regrettable that there were no ideal QC markers of BVO could be found. In conclusion, quality control method relayed on chemical QC markers is not feasible for TCMs with complex composition but lack of ingredients that dominate in content, just like BVO. Alternatively, a bioassay-based method established in our study is suitable for quality control of BVO.

Systematic analysis of the material basis and mechanism of total saponins of mountain cultivated ginseng against doxorubicin-induced cardiotoxicity based on integrating network pharmacology and in vivo substance profiling

INTRODUCTION

Doxorubicin-induced cardiotoxicity (DIC) is a serious obstacle to oncologic treatment. Mountain cultivated ginseng (MCG) exhibits stronger pharmacological effects than cultivated ginseng (CG) mainly due to the differences in ginsenosides. However, the material basis and the underlying mechanism of the protective effects of total saponins of MCG (TSMCG) against DIC are unclear.

OBJECTIVES

We aimed to elucidate the material basis and the pharmacodynamic effects of TSMCG on DIC as well as the underlying mechanisms.

METHODS

To comprehensively analyze the effective substances, the chemical components of TSMCG and their prototypes or metabolites in vivo were characterized through UHPLC/Q-TOF-MS. Then, an absorbed component-target-disease network was established to explore the mechanisms underlying the protective effects of TSMCG against DIC. H9c2 cells were employed for pharmacodynamic assays. The mechanism was verified by Western blot and molecular docking simulations.

RESULTS

A total of 56 main ginsenosides were identified in TSMCG, including 27 ginsenosides of PPD type, 15 ginsenosides of PPT type, two ginsenosides of OA types, and 12 ginsenosides of other types. Moreover, 55 ginsenoside prototypes or metabolites in vivo were tentatively characterized. Ginsenoside Ra1 , a differential compound between MCG and CG, could be metabolized by oxidation and deglycosylation. Network pharmacology showed that AKT1, p53, and STAT3 are core targets of 62 intersecting genes. Molecular docking results indicated that most of the ginsenosides have favorable affinity with these core targets. After doxorubicin exposure, TSMCG could increase cell viability and inhibit apoptosis in a dose-dependent manner.

CONCLUSION

Our work reveals a novel comprehensive strategy to study the material basis of the protective effects of TSMCG against DIC and the underlying mechanisms through integrating in vivo substance identification, metabolic profiling, network pharmacology, pharmacodynamic evaluation, and mechanism verification.

Spectrum-effect relationship study to reveal the pharmacodynamic substances in Flos Puerariae-Semen Hoveniae medicine pair for the treatment of alcohol-induced liver damage

ETHNOPHARMACOLOGICAL RELEVANCE

Alcoholic liver disease (ALD) is the most serious and irreversible liver damage associated with alcohol consumption. Flos Puerariae and Semen Hoveniae are traditional Chinese medicines (TCM) for dispelling the effects of alcohol. Many studies have shown that the combination of two medicinal materials has the enhanced effect of treating ALD.

AIM OF THE STUDY

The aim of this study is to assess the pharmacological effects of Flos Puerariae-Semen Hoveniae medicine pair, to elucidate its action mechanism in the treatment of alcohol-induced BRL-3A cells, and to reveal the active ingredients in the medicine pair that exerted pharmacological effects by spectrum-effect relationship study.

MATERIALS AND METHODS

Firstly, MTT assays, ELISA, fluorescence probe analysis, and Western blot were employed to study the underlying mechanisms of the medicine pair in alcohol-induced BRL-3A cells by examining pharmacodynamic indexes and related protein expression. Secondly, HPLC method was established for chemical chromatograms of the medicine pair with different ratios and the sample extracted by different solvents. Then, principal component analysis, pearson bivariate correlation analysis and grey relational analysis were applied for development of the spectrum-effect correlation between pharmacodynamic indexes and HPLC chromatograms. Moreover, prototype components and their metabolites in vivo were identified by the HPLC-MS method.

RESULTS

Flos Puerariae-Semen Hoveniae medicine pair remarkably increased cell viability, decreased the activity of ALT, AST, TC and TG, reduced the generation of TNF-α, IL-1β, IL-6, MDA and ROS, increased the activity of SOD and GSH-Px, reduced protein expression of CYP2E1, compared with alcohol-induced BRL-3A cells. The medicine pair modulated the PI3K/AKT/mTOR signaling pathways by up-regulating the levels of phospho-PI3K, phospho-AKT and phospho-mTOR. Also, the results of the spectrum-effect relationship study showed that P1 (chlorogenic acid), P3 (daidzin), P4 (6″-O-xylosyl-glycitin), P5 (glycitin), P6 (unknown), P7 (unknown), P9 (unknown), P10 (6″-O-xylosyl-tectoridin), P12 (tectoridin) and P23 (unknown) can be considered as the main components of the medicine pair in the treatment of ALD. Furthermore, 6″-O-xylosyl-tectoridin, tectoridin, daidzin, 6″-O-xylosyl-glycitin and glycitin can be absorbed into the blood and showed clear metabolic and excretion behaviors in rats.

CONCLUSION

In this study, the hepatoprotective effects and the pharmacology mechanism of Flos Puerariae-Semen Hoveniae medicine pair in alcohol-induced BRL-3A cells were initially investigated and revealed. Through the spectrum-effect relationship study, the potential pharmacodynamic constituents such as daidzin, 6″-O-xylosyl-glycitin, 6″-O-xylosyl-tectoridin, glycitin, and tectoridin exert pharmacological effects on alcohol-induced oxidative stress and inflammation by modulating the PI3K/AKT/mTOR signaling pathways. This study provided experimental basis and data support for revealing the pharmacodynamic substance basis and pharmacology mechanism in the treatment of ALD. Moreover, it provides a robust mean of exploring the primary effective components responsible for the bioactivity of complicated TCM.

An integrated strategy of spectrum-effect relationship and near-infrared spectroscopy rapid evaluation based on back propagation neural network for quality control of Paeoniae Radix Alba

The quantitative analysis of near-infrared spectroscopy in traditional Chinese medicine has still deficiencies in the selection of the measured indexes. Then Paeoniae Radix Alba is one of the famous "Eight Flavors of Zhejiang" herbs, however, it lacks the pharmacodynamic support, and cannot reflect the quality of Paeoniae Radix Alba accurately and reasonably. In this study, the spectrum-effect relationship of the anti-inflammatory activity of Paeoniae Radix Alba was established. Then based on the obtained bioactive component groups, the genetic algorithm, back propagation neural network, was combined with near-infrared spectroscopy to establish calibration models for the content of the bioactive components of Paeoniae Radix Alba. Finally, three bioactive components, paeoniflorin, 1,2,3,4,6-O-pentagalloylglucose, and benzoyl paeoniflorin, were successfully obtained. Their near-infrared spectroscopy content models were also established separately, and the validation sets results showed the coefficient of determination (R² > 0.85), indicating that good calibration statistics were obtained for the prediction of key pharmacodynamic components. As a result, an integrated analytical method of spectrum-effect relationship combined with near-infrared spectroscopy and deep learning algorithm was first proposed to assess and control the quality of traditional Chinese medicine, which is the future development trend for the rapid inspection of traditional Chinese medicine.

Identification of anti-inflammatory components in Panax ginseng of Sijunzi Decoction based on spectrum-effect relationship

Objective

This study aimed to identify the main medicinal active components of Panax ginseng (P. ginseng) in the compatibility environment of clinical application. For this purpose, the anti-inflammatory ingredients of P. ginseng were investigated based on its therapeutic effect in Sijunzi Decoction (SJD) which is a widely used traditional Chinese formula.

Methods

The fingerprints of 10 batches of SJD consisting of different sources of P. ginseng were established by UPLC technique to investigate the chemical components. At the same time, the anti-inflammatory effects of these components were evaluated by dextran sulfate sodium-induced ulcerative colitis mouse model. Grey relational analysis was applied to explore the correlation degree between fingerprints and anti-inflammatory effects in SJD. Lipopolysaccharide-stimulated RAW264.7 murine macrophages were established to evaluate the anti-inflammatory action of the screened effective substances of P. ginseng.

Results

According to grey relational analysis, notoginsenoside R₁, ginsenoside Rg₂ and ginsenoside Rb₃ of P. ginseng were the major anti-inflammatory contributions in SJD. They had been proven to be closely associated with the anti-inflammatory process of SJD and displayed a close effect compared with SJD by LPS-stimulated RAW264.7 murine macrophages.

Conclusion

Our work provides a general strategy for exploring the pharmacological ingredients of P. ginseng in traditional Chinese formulas which is beneficial for establishing the quality standards of traditional herbs in traditional Chinese medicine prescription based on their clinical therapeutic effect.

Plant-derived natural products for drug discovery: current approaches and prospects

Nature has abundant source of drugs that need to be identified/purified for use as essential biologics, either individually or in combination in the modern medical field. These drugs are divided into small bio-molecules, plant-made biologics, and a recently introduced third category known as phytopharmaceutical drugs. The development of phytopharmaceutical medicines is based on the ethnopharmacological approach, which relies on the traditional medicine system. The concept of ‘one-disease one-target drug’ is becoming less popular, and the use of plant extracts, fractions, and molecules is the new paradigm that holds promising scope to formulate appropriate drugs. This led to discovering a new concept known as polypharmacology, where natural products from varying sources can engage with multiple human physiology targets. This article summarizes different approaches for phytopharmaceutical drug development and discusses the progress in systems biology and computational tools for identifying drug targets. We review the existing drug delivery methods to facilitate the efficient delivery of drugs to the targets. In addition, we describe different analytical techniques for the authentication and fingerprinting of plant materials. Finally, we highlight the role of biopharming in developing plant-based biologics.

Component-Effect Relationship between HPLC Fingerprints and Lipid-Lowering Activity of Buyang Huanwu Decoction

Buyang Huanwu Decoction (BHD) has lipid-lowering and antioxidant effects. In this study, HPLC was used to establish the fingerprint of extracts from different polar parts of BHD. Through the L02 cell lipid deposition model induced by oleic acid, extracts from different polar parts of BHD were administered for treatment. Oil red O staining, TG detection, and MDA detection were used to determine lipid deposition and antioxidant activity. The component-effect relationship is established by using grey relational analysis and PLSR analysis. The results showed that the extracts from different polar parts of BHD could reduce the levels of TG and MDA. The grey relational analysis showed that the peaks that contributed greatly to the reduction of TG and MDA were peaks 3, 16, 14, 10, 1, 15, 2, and 11, respectively. Peaks 1, 4, 9, 10, 14, 16, and 17 could reduce TG and MDA through PLSR analysis. According to the results of grey relational analysis and PLSR analysis, peaks 1, 10, 14, and 16 may have good lipid-lowering and antioxidant effects. This study provides a certain preliminary basis for follow-up research on lipid-lowering drugs.

Spectrum-Effect Relationship-Based Strategy Combined with Molecular Docking to Explore Bioactive Flavonoids from Sceptridium ternatum

Sceptridium ternatum is a herbaceous plant with significant potential for pharmaceutical and cosmetic applications. In this study, we established a spectrum-effect relationship-based strategy to investigate the bioactive basis and tissue distribution in S. ternatum. First, a phytochemical analysis on the ethanol extracts from roots, stems, and leaves of S. ternatum was performed using the colorimetric method, high-performance liquid chromatography-ultraviolet (HPLC-UV), and high-performance liquid chromatography-electrospray ionization quadrupole time-of-flight mass spectrometry (HPLC-ESI-Q-TOF-MS/MS). Then, radical scavenging assays and the lipopolysaccharide-stimulated RAW 264.7 cell model were used to estimate the antioxidant and anti-inflammatory activities, respectively. Spectrum-effect relationship analysis and molecular docking were further employed to evaluate the correlation between the phytochemical profile and anti-inflammatory activity. Our results demonstrate that S. ternatum leaves contained the most abundant flavonoids and exerted the best biological activities. Their IC₅₀ values for scavenging 2,2'-azino-bis (3-ethylbenzthiazoline-6-sulfonic acid) and 1,1-diphenyl-2-picrylhydrazyl radicals were 2.43 ± 0.13 and 5.36 ± 0.54 mg/mL, respectively. In lipopolysaccharide-stimulated RAW 264.7 cells, the leaf extract caused the greatest reduction in nitric oxide production (38.15%) and interleukin-6 release (110.86%). Spectrum-effect relationship analysis and molecular docking indicated that quercetin 3-O-rhamnoside-7-O-glucoside possessed high anti-inflammatory activity by binding with interleukin-6. In conclusion, S. ternatum is a rich source of bioactive flavonoids with potential for exploitation in the prevention and treatment of oxidative stress and inflammation-related pathologies.

Spectrum effect correlation of yangyin tongnao granules on cerebral ischemia-reperfusion injury rats

Yangyin Tongnao Granules (YYTNG), as traditional Chinese medicine (TCM) compound preparation, have a good curative effect on cerebral ischemia-reperfusion injury. This study aimed to investigate the relationship between the active components of YYTNG in the plasma and the inflammatory response in cerebral ischemia-reperfusion injury rats. High-performance liquid chromatography (HPLC) was conducted to determine the fingerprints at different time points of middle cerebral artery occlusion (MCAO) rats after the administration of YYTNG at different times points. Enzyme-linked immunosorbent assay (ELISA) was performed to detect the levels of interleukin-18 (IL-18) and tumor necrosis factor-α (TNF-α) in the plasma of MCAO rats at different time points. The spectral-effect relationship between the YYTNG fingerprints and inflammatory indexes in vivo was established by combining three different mathematical models, grey correlation, multiple linear regression, and partial least-square method. The results revealed that each chromatographic peak in the HPLC of the plasma exhibited a certain correlation with the inflammatory index, in the following order: P2 >P6 >P5 >P1 >P3 >P4. Therefore, this study successfully established the spectrum-effect correlation of YYTNG on cerebral ischemia-reperfusion injury rats. The results provide a certain guiding ideology for the analyses of the relationship between fingerprints and the pharmacodynamics of TCM prescriptions.

Study on the mechanism of Cortex Lycii on lung cancer based on network pharmacology combined with experimental validation

ETHNOPHARMACOLOGICAL RELEVANCE

Xie Bai San is a Chinese medicine prescription that has been used to treat lung cancer in China for a long time. It has been proven to alleviate the symptoms and extend the survival time of lung cancer patients. Xie Bai San comprises Cortex Lycii, Cortex Mori, and Radix Glycyrrhizae Preparata. The effects and mechanisms of Cortex Mori and Glycyrrhizae on lung cancer have been reported, whereas the underlying mechanism of Cortex Lycii remains unknown.

MATERIAL AND METHODS

Network pharmacology was used to explore the unknown mechanisms underlying the effect of Cortex Lycii on lung cancer. Molecular docking was used to predict the binding of a compound to the protein. The fingerprint of Cortex Lycii was obtained by HPLC. Cell counting Kit-8 assay was used to determine the appropriate concentration of Cortex Lycii extract for human lung adenocarcinoma cells, A549 and H1299. Wound healing assay and Matrigel invasion assay were used to detect the influence of Cortex Lycii extract on the migration and invasion ability of A549 and H1299. The protein expression level was detected by western blot and immunohistochemical staining.

RESULTS

Using network pharmacology, 38 components of Cortex Lycii and 79 possible lung cancer-related target genes of Cortex Lycii were obtained. The targets were assigned to 35 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and the PI3K-AKT signaling pathway contained the most targets and had the second-lowest P-value. The molecular docking showed the components of Cortex Lycii bound to HSP90AB1. Among them, 6 components bound to HSP90AB1 in which HSP90AB1 binds to and phosphorylates AKT. The functional experiments showed that Cortex Lycii suppressed the migration and invasion of human lung cancer cells in a dose-dependent manner. Cortex Lycii up-regulated E-Cadherin and down-regulated N-Cadherin, Vimentin, and MMP2. Furthermore, Cortex Lycii made no change in the total AKT and mTOR protein levels, but caused the down-regulation of p-AKT and p-mTOR in human lung cancer cells, which was reversed by Terazosin, an agonist of HSP90. Moreover, acacetin and apigenin, two components of Cortex Lycii, reduced the protein level of p-AKT and p-mTOR, and the reduction was also inhibited by Terazosin.

CONCLUSION

Cortex Lycii suppressed epithelial-mesenchymal transition (EMT) in lung cancer cells through the PI3K-AKT-mTOR signaling pathway, possibly by targeting HSP90AB1 and inhibiting HSP90AB1-AKT binding.

Protective and therapeutic effect of (S)-ginsenoside F1 on peripheral nerve degeneration targeting Schwann cells: a pharmaco-neuroanatomical approach

Damaged peripheral nerves undergo peripheral neurodegenerative processes that are essential for the nerve regeneration. Peripheral neurodegenerative diseases, including diabetic peripheral neuropathy, are induced by irreversible nerve damage caused by abnormal peripheral nerve degeneration. However, until now, there have been no effective therapeutic treatments for these diseases. Ginsenosides are the most pharmacologically active compounds in Panax ginseng, and are being actively studied. Ginsenosides have a variety of effects, including neuroprotective, antioxidative, anti-cytotoxic, and anti-inflammatory effects. Here, we investigated the efficacy of 18 ginsenosides. We then tested the ability of the most effective ginsenoside, (S)-ginsenosides F1 (sF1), to inhibit peripheral neurodegenerative processes using mouse sciatic ex vivo culture, and several morphological and biochemical indicators. Our results suggest that sF1 could effectively protect Schwann cells against peripheral nerve degeneration.

An Integrated Mutually Oriented "Chemical Profiling-Pharmaceutical Effect" Strategy for Screening Discriminating Markers of Underlying Hepatoprotective Effects to Distinguish Garden-Cultivated from Mountain-Cultivated Ginseng

Garden-cultivated Ginseng (GG) and mountain-cultivated Ginseng (MG) both belong to Panax Ginseng C. A. Meyer. However, the effective substances which can be used to distinguish GG from MG remain obscure. Therefore, the purpose of this study was to screen for discriminating markers that can assist in the correct identification of GG and MG. HPLC Q-TOF/MS and various chemometrics methods were used to analyze the chemical profiles of 13 batches of Ginseng and to explore the characteristic constituents of both GG and MG. The hepatocyte-protecting effects of GG and MG were investigated through a paclitaxel-induced liver injury model. Through a combination of correlation analysis and bioinformatic techniques, markers for differentiation between GG and MG were ascertained. A total of 40 and 41 compounds were identified in GG and MG, respectively, and 15 characteristic ingredients contributed significantly to the discrimination of GG from MG. Correlation analysis and network pharmacology were applied and ginsenosides Rg1, Re, Rb1, Rc, Rb2, and Rg3 were found to be discriminating markers of GG and MG. Six markers for the identification of GG and MG were screened out by a step-wise mutually oriented "chemical profiling-pharmaceutical effect" correlation strategy, which is of great significance for future quality assessment of Ginseng products.