Study on steaming time and characteristic quality standard of salt-steaming Morinda officinalis based on Q-marker and anti-oxidative activities / 中国药房

OBJECTIVE To comprehensively screen the optimal steaming time of salt-steaming Morinda officinalis （SSMO） based on Q-markers and anti-oxidative activities， and to establish characteristic quality standard of the decoction pieces. METHODS The contents of six Q-markers （1-kestose， nystose， 1F-fructofuranosylnystose， inulotriose， inulotetraose and inulopentaose） in SSMO at different steaming time were determined by HPLC-ELSD method simultaneously. The activity of sample extracts to scavenge 4 kinds of oxidative free radical and their iron reduction abilities were determined by visible UV spectrophotometer. The optimal steaming time of SSMO was screened by gray relevance degree and entropy weight technique for order preference by similarity to an ideal solution （TOPSIS）-fusion model method. The contents of six Q-markers in 10 batches of SSMO prepared at the optimal steaming time were determined. HPLC-ELSD fingerprints of SSMO decoction pieces were established. RESULTS The results showed that the contents of six Q-markers were the highest when SSMO was steamed for 3-5 h； and the ability of scavenging DPPH·， ABTS·， PTIO·， ·OH and iron reduction ability was the best at 5 h. There were 20 common peaks in the fingerprints for 10 batches of samples， and the similarities were higher than 0.990. A total of 9 chromatographic peaks were identified， which were D-fructose （peak 1）， D（+）-glucose （peak 2）， sucrose （peak 3）， 1-kestose （peak 4）， nystose （peak 5）， 1F-fructofuranosylnystose （peak 6）， inulotriose （peak X2）， inulotetraose （peak X3） and inulopentaose （peak X4）. Average contents of six Q-markers were 4.17%， 5.54%， 6.60%， 2.89%， 2.62% and 2.13%， respectively. CONCLUSIONS The optimal steaming time of SSMO is 5 h； the contents of six Q-markers are primarily determined on the basis of dry product， which are no less than 3.03%， 4.11%， 4.87%， 2.15%， 1.96% and 1.58%， respectively. The ratio of Inulin-/Inulo oligosaccharides content is no more than 2.5.

Research progress of Codonopsis Radix and prediction of its Q-markers / 中国中药杂志

Codonopsis Radix is a traditional tonic medicine commonly used in China, which has the effects of strengthening the spleen and tonifying the lung, as well as nourishing blood and engendering liquid. The chemical constituents of Codonopsis species are mainly polyacetylenes, alkaloids, phenylpropanoids, lignans, terpenoids and saponins, flavonoids, steroids, organic acids, saccharides, and so on. Modern pharmacological studies showed that Codonopsis Radix also has a variety of pharmacological effects such as enhancing body immunity, protecting gastrointestinal mucosa and resisting ulcers, promoting hematopoietic function, regulating blood sugar, and delaying aging. In this paper, the chemical constituents of Codonopsis species and the pharmacological effects of Codonopsis Radix were summarized, and on this basis, the quality markers of Codonopsis Radix were analyzed. It was predicted that lobetyolin, tangshenoside I, codonopyrrolidium A, and the oligosaccharides were the possible Q-markers of Codonopsis Radix. This paper will provide scientific references for the quality evaluation and profound research and the development of Codonopsis Radix.

Identification of Q-Markers from Hedan Tablet by employing “spider-web” mode and taking compounds’ hepatotoxicity into account / 中草药·英文版

Objective: Due to the complicated compounds and the synergistic effect of multi-compounds, the quality control and assessment of Chinese materia medica (CMM) encounters a great challenge about how to identify the key compounds, which are directly correlated with its efficacy and safety. On the guidance of study on quality marker (Q-Marker), identification of Q-Markers was performed from Hedan Tablet (HDT) by the aid of the “spider-web” mode and hepatotoxicity evaluation derived from our previous researches and literatures. Methods: By the established ultra performance liquid chromatography with photodiode array detector (UPLC-PDA) method, online UPLC-DPPH· and offline antioxidant assay, 21 candidate compounds of HDT were systematically investigated and comprehensively evaluated by the “spider-web” mode for them properties of Q-Marker based on “content-stability-activity”. In addition, the Q-Markers related with hepatotoxicity based on our previous researches and literatures were identified. Results: Salvianolic acid B (SaB), quercetin-3-O-glucuronide (Qug), isoquercitrin (IQ) and hyperoside (Hyp) were adopted as the preferable Q-Markers of HDT according to the shaded area (A) of tested compounds in “spider-web” mode. Psoralen (Ps), isopsoralen (IP), psoralenoside (PO) and isopsoralenoside (IPO) were also strongly recommended as Q-Markers closely related with safety by considering hepatotoxicity of the accumulated Ps and IP and conversion between glycoside (PO and IPO) and aglycone (Ps and IP). Conclusion: This study provided scientific evidence for quality control and assessment of HDT, and also provided a meaningful reference for application of Q-Markers in CMM.

Analysis of Q-markers of Arisaema Cum Bile Acting on Stroke Based on UPLC-QTOF-MS/MS and TCMIP v2.0 / 中国实验方剂学杂志

ObjectiveTo predict the possible quality markers （Q-markers） of Arisaema Cum Bile in the prevention and treatment of stroke based on ultra performance liquid chromatography-quadrupole-time-of-flight tandem mass spetrometry （UPLC-QTOF-MS/MS） and Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP） v2.0. MethodUPLC-QTOF-MS/MS was employed with the mobile phase of 0.1% formic acid aqueous solution （A）-0.1% formic acid acetonitrile solution （B） for gradient elution （0-3 min， 0.2%-5%B； 3-5 min， 5%-8%B； 5-8 min， 8%-10%B； 8-14 min， 10%-25%B； 14-18 min， 25%-50%B； 18-20 min， 50%-70%B； 20-21 min， 70%-98%B； 21-23 min， 98%B； 23-24 min， 98%-0.2%B； 24-26 min， 0.2%B）， the flow rate of 0.5 mL·min-1 and electrospray ionization （ESI）. High quality MS/MS data were scanned in positive and negative ion modes with scanning range of m/z 50-1 500. A local database of the chemical constituents in Arisaema Cum Bile was established by UNIFI 1.8. Then the chemical constituents in Arisaema Cum Bile were characterized by matching with the local database and comparing with the reference substances and literature information. TCMIP v2.0 was used to obtain the targets corresponding to the identified components of Arisaema Cum Bile and stroke， and the "disease-formula" correlation analysis was carried out to screen the core targets by topological eigenvalues. DAVID 6.8 was used for enrichment analysis of Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway of core targets. According to the "five principles" of Q-markers and combined with literature reports， the Q-markers of Arisaema Cum Bile in the prevention and treatment of stroke were predicted， and the core components acting on these target genes were obtained. Cytoscape 3.8.0 was employed to draw the network diagram of "medicinal materials-active ingredients-target genes-pathways". Finally， AutoDock Vina 1.2.2 was used to calculate and verify the molecular docking between the candidate components and the key targets. ResultA total of 76 chemical components was identified in positive and negative ion modes， 85 core targets were collected for Arisaema Cum Bile in the prevention and treatment of stroke. A total of 31 stroke-related pathways， 23 target genes and 9 main active components of Arisaema Cum Bile acting on these genes were screened， and then we determined 4 possible Q-markers for Arisaema Cum Bile in the prevention and treatment of stroke according to the "five principles". ConclusionThe possible Q-markers of Arisaema Cum Bile for stroke are gallic acid， apigenin-6，8-di-C-glucoside， apigenin and cholic acid， and the target of these four components may be estrogen receptor alpha （ESR1）.

Homogenization of Key Components Screening of "Different Diseases and Different Prescriptions" in Network Pharmacology / 中国实验方剂学杂志

Network pharmacology （NP） is a novel interdisciplinary subject based on the combination of systems biology， multi-omics theory， computer synthesize， network database， and so on. It is widely used in traditional Chinese medicine （TCM） for active component screening， compatibility rule， pharmacological mechanism， and toxicity-efficacy network. Domestic NP-related papers began to boost from 2017， but some research showed abnormal "homogenization" in the screening of key components. Due to the non-standard and unreasonable situation in early NP analysis， the screening results always contained the same and widely-existed 200-500 Chinese medicine substances as the key components for TCM compounds， regardless of the various “disease-treatment-medicine” approaches to the study. If the "homogenization" phenomenon cannot be promptly clarified and corrected， it will lead to the misunderstanding that the components such quercetin， kaempferol， and sitosterol are "guaranteed to cure all diseases"， which overestimates the pharmacological weights of the components in each disease. This phenomenon seriously interferes the selection and quality control of Q-Markers related to TCM compounds. It violates and negates the scientific connotation of "treating the same disease with different therapies" and "treating different diseases with the same therapy" guided by the holistic view and the theory of syndrome differentiation and treatment. In the long term， the "homogenization" phenomenon may even hinder the healthy development of NP in TCM. Based on TCM theory and modern medicine， this paper started with the "thomogenization" of component screening in NP， and analyzed from the three module of "tphenomenon consequences"， "tcause exploration"， and "tsolving strategies"， thus providing important references for NP research methods.

Homogenization of Key Components Screening of "Different Diseases and Different Prescriptions" in Network Pharmacology / 中国实验方剂学杂志

Network pharmacology （NP） is a novel interdisciplinary subject based on the combination of systems biology， multi-omics theory， computer synthesize， network database， and so on. It is widely used in traditional Chinese medicine （TCM） for active component screening， compatibility rule， pharmacological mechanism， and toxicity-efficacy network. Domestic NP-related papers began to boost from 2017， but some research showed abnormal "homogenization" in the screening of key components. Due to the non-standard and unreasonable situation in early NP analysis， the screening results always contained the same and widely-existed 200-500 Chinese medicine substances as the key components for TCM compounds， regardless of the various “disease-treatment-medicine” approaches to the study. If the "homogenization" phenomenon cannot be promptly clarified and corrected， it will lead to the misunderstanding that the components such quercetin， kaempferol， and sitosterol are "guaranteed to cure all diseases"， which overestimates the pharmacological weights of the components in each disease. This phenomenon seriously interferes the selection and quality control of Q-Markers related to TCM compounds. It violates and negates the scientific connotation of "treating the same disease with different therapies" and "treating different diseases with the same therapy" guided by the holistic view and the theory of syndrome differentiation and treatment. In the long term， the "homogenization" phenomenon may even hinder the healthy development of NP in TCM. Based on TCM theory and modern medicine， this paper started with the "thomogenization" of component screening in NP， and analyzed from the three module of "tphenomenon consequences"， "tcause exploration"， and "tsolving strategies"， thus providing important references for NP research methods.

Q-markers of Yuquan Capsules based on serum pharmacochemistry of Chinese medicine / 中国中药杂志

This study analyzed the quality markers(Q-markers) of Yuquan Capsules(YQC) based on serum pharmacochemistry of Chinese medicine and detected the components and metabolites of YQC absorbed into the blood by UPLC-Q-TOF-MS and UNIFI systems. As a result, 32 components of YQC were detected, including 17 prototype components and 15 metabolized components. Among them, 12 prototype components(ginsenoside Rh_2, genistein, formononetin, puerarin, daidzein, schizandrin A, schizandrin B, schizandrin C, schizandrol A, schizandrol B, gomisin D, and ononin) and 12 metabolized components(ginsenoside Rg_1, ginsenoside Rg_2, ginsenoside Rg_3, ginsenoside Ro, 3'-methoxypuerarin, daidzin, astragaloside Ⅱ, astragaloside Ⅳ, glycyrrhizic acid, liquiritigenin, isoliquiritin, and verbascoside) showed inhibitory effects and pharmacological activities against diabetes, and these 24 blood-entering components against diabetes were identified as Q-markers of YQC.

Identification of Q-markers for Cistanches Herba based on HPLC-Q-TOF-MS/MS and network pharmacology / 中国中药杂志

This study aims to establish a method for analyzing the chemical constituents in Cistanches Herba by high performance liquid chromatography(HPLC) and quadrupole-time-of-flight tandem mass spectrometry(HPLC-Q-TOF-MS/MS), and to reveal the pharmacological mechanism based on network pharmacology for mining the quality markers(Q-markers) of Cistanches Herba. The chemical constituents of Cistanche deserticola and C. tubulosa were analyzed via HPLC-Q-TOF-MS/MS. The potential targets and pathways of Cistanches Herba were predicted via SwissTargetPrediction and DAVID. The compound-target-pathway-pharmacological action-efficacy network was constructed via Cytoscape. A total of 47 chemical constituents were identified, involving 95 targets and 56 signaling pathways. We preliminarily elucidated the pharmacological mechanisms of echinacoside, acteoside, isoacteoside, cistanoside F, 2'-acetylacteoside, cistanoside A, campneoside Ⅱ, salidroside, tubuloside B, 6-deoxycatalpol, 8-epi-loganic acid, ajugol, bartsioside, geniposidic acid, and pinoresinol 4-O-β-D-glucopyranoside, and predicted them to be the Q-markers of Cistanches Herba. This study identified the chemical constituents of Cistanches Herba, explained the pharmacological mechanism of the traditional efficacy of Cistanches Herba based on network pharmacology, and introduced the core concept of Q-markers to improve the quality evaluation of Cistanches Herba.

Research progress on Astragali Radix and prediction of its quality markers (Q-markers) / 中国中药杂志

Astragali Radix, a medicinal herb for invigorating Qi, has anti-aging, anti-tumor, immunoregulatory, blood sugar-and lipid-lowering, anti-fibrosis, anti-radiation and other pharmacological effects. This article reviewed the studies about the chemical components and pharmacological effects of Astragali Radix. According to the theory of quality markers(Q-markers) of Chinese medicinal materials, we predicted the Q-markers of Astragali Radix from traditional efficacy, chemical component validity, measurability, plant phylogeny, and pharmacokinetis. The results showed that total polysaccharides, flavonoids(e.g., calycosin-7-O-β-D-glucoside, formononetin, calycosin, quercetin, and ononin), and saponins(e.g., astragalosides Ⅱ, Ⅲ, and Ⅳ) can be taken as the main Q-markers. This review lays a foundation for regulating the quality research and standard establishment of Astragali Radix, and benefits the control and quality supervision of the production process of Astragali Radix and its related products.

Study on discovery of efficacy markers for Dachaihu Decoction and its action mechanism / 中国中药杂志

Dachaihu Decoction is a classical Chinese herbal prescription that is effective in harmonizing lesser yang and purging internal accumulated heat. At present, it has been widely used in clinical practice, and the resulting outcomes are satisfactory. However, its quality indicators and action mechanism are still not clear. Therefore, this paper explored the efficacy markers of Dachaihu Decoction and its action mechanism based on literature mining, molecular biology, and network pharmacology, so as to better control its quality and ensure its clinical efficacy. The efficacy markers of Dachaihu Decoction were predicted and analyzed according to the "five principles" for Q-markers of Chinese herbs. Then the anti-inflammatory activity of the efficacy markers of Dachaihu Decoction was evaluated with Griess reagent after the establishment of RAW264.7 cell inflammation model in vitro with lipopolysaccharide(LPS). The potential targets of efficacy markers were predicted by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP), ChEMBL, and SwissTargetPrediction, followed by the construction of the protein-protein interaction(PPI) network of the efficacy markers of Dachaihu Decoction. Topological, GO, and KEGG enrichment analysis was carried out to construct the "key target-signaling pathway-biological process" network, thus elucidating the action mechanism of the efficacy markers of Dachaihu Decoction. Saikosaponin B_2, baicalin, baicalein, wogonoside, neohesperidin, naringin, hesperidin, and paeoniflorin were considered as the potential efficacy markers of Dachaihu Decoction. The anti-inflammatory activity evaluation showed that the potential efficacy markers effectively inhibited the release of NO, exhibiting good anti-inflammatory activities. As demonstrated by network pharmacology, the efficacy markers of Dachaihu Decoction regulated the inflammatory response by acting on MAPK and NF-κB signaling pathways, the carbohydrate metabolism by HIF-1 and PI3 K-AKT signaling pathways, and the lipid metabolism by AMPK and PI3 K-AKT signaling pathways. This study discovered the efficacy markers of Dachaihu Decoction based on literature mining combined with molecular biological experiments and explored its action mechanism at the molecular level based on network pharmacology, which would provide reference for the quality control of Dachaihu Decoction and scientific basis for its clinical application.

Discrimination of quality markers of Shujin Huoxue Capsules based on five principles coupled with cobweb model / 中国中药杂志

The quality markers(Q-markers) of Shujin Huoxue Capsules were comprehensively discriminated based on the five principles of transfer and traceability, specificity, compatibility, effectiveness and measurability. The compounds that could be transferred from the original medicinal materials to the preparation were selected with the principle of transfer and traceability. The specific components in the prescription were screened by reviewing literature with the principle of specificity. According to the principle of compatibility, the attributes of compounds were evaluated by the sovereign, minister, assistant and guide combination rules of the original medicinal materials in the prescription. According to the principle of measurability, the measurable components were summarized by reference to the pharmacopoeia and literature combined with the content. The mechanism of Shujin Huoxue Capsules in the treatment of osteoporosis was studied through network pharmacology based on the principle of effectiveness, which was the evaluation index of effectiveness. The chemical components screened out above were regarded as candidate Q-markers, and the cobweb model was plotted to obtain the comprehensive score of Q-markers. Hydroxysafflor yellow A, trachelosid, eleutheroside B, α-cyperone, protocatechuic acid, protocatechualdehyde and 4-methoxy salicylaldehyde were discriminated as the Q-markers of Shujin Huoxue Capsules based on the five principles combined with cobweb model.

How to identify “Material basis–Quality markers” more accurately in Chinese herbal medicines from modern chromatography-mass spectrometry data-sets: Opportunities and challenges of chemometric tools / 中草药·英文版

Modern chromatography - mass spectrometer (MS) technology is an essential weapon in the exploration of traditional Chinese medicines (TCMs) which is based on the “effectiveness-material basis-quality markers (Q-markers)”. Nevertheless, the hardware bottleneck and irregular operation will limit the accuracy and comprehensiveness of test results. Chemometrics was thereby used to solve the existing problems: 1) The method of ‘design-modeling-optimization’ can be adopted to solve the multi-factor and multi-level problems in sample preparation/ parameter setting; 2) The approaches of signal processing can be used to calibrate the deviation from retention time (rt) dimension and mass-to-charge ratio (m/z) dimension in different types of instruments; 3) The methods of multivariate calibration and multivariate resolution can be utilized to analyze the co-eluting peaks in complex samples. When the researchers need to capture essential information on raw data sets extracting the higher level of information on essential features, 1) The significant components which affects the drug properties/efficacy can be find by the pattern recognition and variable selection; 2) Fingerprint-efficacy modeling is explored to clarify the material basis, or to screen out the Q-markers of biological significance; 3) Chemometric tools can apply to integrate chemical (metabolic) fingerprints with network pharmacology, bioinformatics, omics and others from a multi-level perspective. Under these programs, the qualitative/quantitative works will achieve in chemical (metabolic) fingerprint and metabolic trajectories, which leads to an accurate reflection of “material basis and Q-markers” in TCMs. Likewise, an in-depth hidden information can be disclosed, so that the components of drug properties/efficacy will be found. More importantly, multidimensional data can be integrated with fingerprints to acquire more hidden information.

Prediction of Q-markers of Citri Reticulatae Pericarpium volatile oil and GC-MS based quantitative analysis / 中国中药杂志

This study was designed to predict the Q-markers of Citri Reticulatae Pericarpium volatile oil and conduct quantitative analysis by GC-MS. The common components of Citri Reticulatae Pericarpium volatile oil were detected by GC-MS. The network pharmacology approaches were utilized for constructing the component-target network and protein-protein interaction(PPI) network, followed by the GO and KEGG pathway enrichment analysis to clarify the pharmacological effects of common components. Molecular docking was conducted to observe the biological activities of common components, thus identifying the Q-markers of Citri Reticulatae Pericarpium volatile oil. The obtained Q-markers were subjected to quantitative analysis by GC-MS. The GC-MS analysis of 19 batches of Citri Reticulatae Pericarpium volatile oil revealed three common components, namely, D-limonene, γ-terpinene, and myrcene. The common components were analyzed based on network pharmacology, and the results showed that Citri Reticulatae Pericarpium volatile oil mainly acted on the core targets GABRA1, GABRA6, GABRA5, GABRA3, and GABRA2 through D-limonene and γ-terpinene, with five important pathways such as nicotine addiction and GABAergic synapse involved. The core targets were mainly distributed in olfactory region, cerebral cortex, cerebellum, basal ganglia, hippocampus, and amygdala to exert the pharmacological effects. As revealed by molecular docking, D-limonene and γ-terpinene exhibited good biological activities, so they were identified as the Q-markers of Citri Reticulatae Pericarpium volatile oil. The results of quantitative analysis showed that the volume fraction of D-limonene was within the range of 0.77-1.03 μL·mL~(-1), and that of γ-terpinene within the range of 0.04-0.13 μL·mL~(-1). The prediction of D-limonene and γ-terpinene as the Q-markers of Citri Reticulatae Pericarpium volatile oil has laid an experimental foundation for the establishment of the quality evaluation standard for Citri Reticulatae Pericarpium volatile oil.

Modern research progress of traditional Chinese medicine Paeoniae Radix Alba and prediction of its Q-markers / 中国中药杂志

Paeoniae Radix Alba is the dried root of Paeonia lactiflora, which was first recorded in the Shennong's Classic of Materia Medica and listed as the top grade. It is a common blood-tonifying herb, and its chemical components are mainly monoterpenes and their glycosides, triterpenes, flavonoids and so on. Modern research has demonstrated that Paeoniae Radix Alba has the activities of anti-inflammation, pain easing, liver protection, and anti-oxidation, and thus it is widely used in clinical practice and has broad development prospects. In this paper, the research progress on the chemical composition, pharmacological effects, and quality control of Paeoniae Radix Alba were summarized. On this basis, the Q-markers of Paeoniae Radix Alba were predicted from the aspects of mass transfer and traceability, chemical composition specificity, and availability and measurability of chemical components, which will provide a scientific basis for the quality evaluation of Paeoniae Radix Alba.

Fingerprint analysis and Q-marker prediction of processed liquorice products / 中国中药杂志

Licorice has long been regarded as one of the most popular herbs, with a very wide clinical application range. Whether being used alone or as an ingredient in prescription, it has an important role which cannot be ignored. However, the efficacy and chemical constituents of licorice will change after honey-processing. Therefore, it is necessary to find quality markers before and after honey-processing to lay the foundation for a comprehensive evaluation of the differences between raw and processed licorice pieces. HPLC-DAD was employed to establish fingerprints of raw and processed licorice. Multivariate statistical analysis methods including principal component analysis(PCA) and orthogonal partial least squares discrimination analysis(OPLS-DA) were applied to screen out the differential components before and after processing of licorice. Based on network pharmacology, the targets and pathways corresponding to the differential components were analyzed with databases such as Swiss Target Prediction and Metascape, and the "component-target-pathway" diagram was constructed with Cytoscape 3.6.0 software to predict the potential quality markers. A total of 17 common peaks were successfully identified in the established fingerprint, and seven differential components were selected as potential quality markers(licoricesaponin G2, glycyrrhizic acid, liquiritigenin, liquiritin, isoliquiritin, liquiritin apioside and isoliquiritigenin). The HPLC fingerprint method proposed in this study was efficient and feasible. The above seven differential chemical components screened out as potential quality markers of licorice can help to improve and promote the overall quality. These researches offer more sufficient theoretical basis for scientific application of licorice and its corresponding products.

Research mode of quality marker research and quality evaluation of Chinese materia medica based on multi-source information fusion / 中草药

Chinese materia medica (CMM) is a complex system, which has characteristics of multiple components, diversity efficacy, and unpredictable relation among components, etc. Thus, constructing the quality evaluation and quality control model based on multi-disciplinary and multi-source information fusion is an innovative research idea for quality standards of CMM. The quality control system should been fully established to cover quality integrity and efficacy specificity of CMM based on the core concept of quality marker. Traditional quality assessment methods based on characteristic feature, chemical analysis including multiple chemical components and elementary substances, and biological evaluation were integrated by data fusion methods in this system. The correlation of the organic and elemental components with the specific effects should be established in order to verify the material basis. Finally, the Q-markers (including potential elemental Q-markers) with unique characteristics relevant to specific effect were analyzed and defined. The integrated quality indexes of Q-markers relevant to specific effect were calculated. This proposed integrated quality control system based on multi-source information fusion methods would enrich and perfect the quality evaluation of CMM.

Application and prospect of toxicity quality markers of Chinese materia medica based on metabolomics / 中草药·英文版

In view of the problem that the quality evaluation indicators divorced from effectiveness and safety in Chinese materia medica (CMM), Prof. Chang-xiao Liu et al have put forward a concept of quality markers (Q-markers) of CMM, which provided a new thought for improving the CMM quality control method. The toxicity Q-markers of CMM are described as follows, the early toxicity prediction of CMM, the discovery, formation and susceptibility research of toxicity Q-markers of CMM. Metabolomics is a systematic biology approach, closely related to the toxicity phenotype of organism, has unique advantages in toxicity Q-markers research. The toxicity Q-markers of CMM are explained from the following four aspects in this review: 1) the establishment of toxicity prediction model of CMM, which is based on metabolomics, pattern recognition, and other techniques; 2) the discovery of toxicity Q-markers of CMM based on metabolomic, which is meaning that the toxicity Q-markers are interpreted regarding to the chemical composition analysis of CMM, preliminary screening and verification of the toxicity Q-markers and toxicity mechanism research; 3) the research on the formation of toxicity Q-markers based on metabolomics, which is described from biosynthetic pathway analysis and the secondary metabolites analysis of toxicity Q-markers; and 4) the susceptibility study of toxicity Q-markers based on metabolomics, namely, the key targets, and metabolic pathways of toxicity Q-markers are explained according to the target organ toxicity susceptibility caused by CMM, and then the toxicity susceptibility mechanism of CMM is clarified. Therefore, the application of metabolomics helps to systematically and comprehensively discover the quality control indicators related to the CMM safety, which further provides a rational evidence for the clinical application of toxicity of CMM.

A pattern of hierarchical progression for quality standard of Chinese materia medica based on "herbal origin-material basis-quality markers-quality control method" / 中草药

Quality control of Chinese materia medica (CMM) is an effective measure to ensure the safety and effectiveness of CMM in clinical practice, which is also a bottleneck to restrict the modernization process of CMM. Regarding the current quality evaluation model of CMM, we reviewed the research strategies of quality control for CMM at the present stage from the perspectives of "discrimination of authenticity" and "assessment of superiority" to state the research status and development tendency of quality standard of CMM. What's more, we put forward a new quality control pattern of CMM based on "identification of herbal origin, study on material basis, discrimination of quality markers (Q-markers), and development of quality control method". An in-depth study of material basis based on authentic CMM was implemented to discriminate "Q-markers", and further developed a quality control method to control the quality of CMM. Finally, a quality control standard has been established to meet the characteristic of CMM.