Integrated and global pseudotargeted metabolomics strategy applied to screening for quality control markers of Citrus TCMs

Impact of different processing methods of Ligustrum lucidum Ait. on kidney-yin deficiency: a study based on pharmacodynamics and metabolomics research

This study aimed to explore the pharmacodynamics and mechanisms of different processing methods of Ligustrum lucidum Ait. (LLA) in addressing kidney-yin deficiency (KYD). Forty-eight Sprague-Dawley rats were divided into eight groups based on their weight. The KYD model was established by intragastric administration of levothyroxine sodium. Each group was administered the corresponding treatment for 15 consecutive days. The general condition of the rats during the treatment period was observed. In addition, the levels of cyclic adenosine monophosphate (cAMP), cyclic guanosine monophosphate (cGMP), and the ratio of cAMP to cGMP in the serum of rats from different groups were measured. Serum samples were analyzed using the ultra-performance liquid chromatography (UPLC)-Orbitrap Fusion MS technique for metabolomics analysis. Compared with the model group, the general condition of the rats in the wine-steamed L. lucidum group (WL) and salt-steamed L. lucidum group (SSL) groups showed significant improvement. The serum levels of cAMP, cGMP, and the cAMP-to-cGMP ratio tended to return to normal. Metabolic analysis identified 38 relevant biomarkers and revealed 3 major metabolic pathways: phenylalanine, tyrosine, and tryptophan biosynthesis; phenylalanine metabolism; and sphingolipid metabolism. The different processing methods of LLA demonstrated therapeutic effects on KYD in rats, likely related to the restoration of disturbed metabolism by adjusting the levels of endogenous metabolites in the kidney. The SSL demonstrated significantly superior effects compared with the other four types of LLA processed products.

Quality evaluation methods of chinese medicine based on scientific supervision: recent research progress and prospects

Traditional Chinese medicine (TCM) is increasingly getting attention worldwide, as it has played a very satisfactory role in treating COVID-19 during these past 3 years, and the Chinese government highly supports the development of TCM. The therapeutical theory and efficacies of Chinese medicine (CM) involve the safety, effectiveness and quality evaluation of CM, which requires a standard sound system. Constructing a scientific and reasonable CM quality and safety evaluation system, and establishing high-quality standards are the key cores to promote the high-quality development of CM. Through the traditional quality control methods of CM, the progress of the Q-marker research and development system proposed in recent years, this paper integrated the research ideas and methods of CM quality control and identified effective quality parameters. In addition, we also applied these effective quality parameters to create a new and supervision model for the quality control of CM. In conclusion, this review summarizes the methods and standards of quality control research used in recent years, and provides references to the quality control of CM and how researchers conduct quality control experiments.

Identification of Chemical Constituents in Blumea balsamifera Using UPLC-Q-Orbitrap HRMS and Evaluation of Their Antioxidant Activities

Blumea balsamifera (L.) DC., a perennial herb in the Asteraceae family native to China and Southeast Asia, has a notable history of medicinal use due to its pharmacological properties. Using UPLC-Q-Orbitrap HRMS techniques, we systematically investigated the chemical constituents of this plant. A total of 31 constituents were identified, of which 14 were flavonoid compounds. Significantly, 18 of these compounds were identified in B. balsamifera for the first time. Furthermore, the mass spectrometry fragmentation patterns of significant chemical constituents identified in B. balsamifera were analyzed, providing important insights into their structural characteristics. The in vitro antioxidative potential of the methanol extract of B. balsamifera was assessed using DPPH and ABTS free-radical-scavenging assays, total antioxidative capacity, and reducing power. The antioxidative activity exhibited a direct correlation with the mass concentration of the extract, with IC₅₀ values of 105.1 ± 0.503 μg/mL and 12.49 ± 0.341 μg/mL for DPPH and ABTS, respectively. For total antioxidant capacity, the absorbance was 0.454 ± 0.009 at 400 μg/mL. In addition, the reducing power was 1.099 ± 0.03 at 2000 μg/mL. This study affirms that UPLC-Q-Orbitrap HRMS can effectively discern the chemical constituents in B. balsamifera, primarily its flavonoid compounds, and substantiates its antioxidative properties. This underscores its potential utility as a natural antioxidant in the food, pharmaceutical, and cosmetics sectors. This research provides a valuable theoretical basis and reference value for the comprehensive development and utilization of B. balsamifera and expands our understanding of this medicinally valuable plant.

Analytical quality-by-design (AQbD) approach for comprehensive analysis of bioactive compounds from Citrus peel wastes by UPLC

The growing interest in ingredients from natural sources has expanded the need for quality assessments of plant extracts. Analytical quality-by-design (AQbD) has been increasingly applied in regulated environments such as pharmaceutical industries and, more recently, for the bioactive compounds found in botanical materials. This work aimed to obtain qualitative (overall resolution and maximum peak capacity) and quantitative performances for target analytes using AQbD principles. The analytical target profile was elaborated; critical method parameters (independent variables) that affect the critical method attributes (dependent variables) were selected from a risk assessment for a reversed-phase liquid chromatography with diode array detection (RPLC-DAD) method. YMC-Triart C18 (3.0 × 100 mm, 1.9 μm) and a gradient elution using 0.2% acetic acid and methanol:acetonitrile 1:3 (v/v) were chosen as the stationary and mobile phases, respectively. The optimal and robust conditions (temperature at 33.3 °C, flow rate of 0.68 mL.min^-1, and a gradient slope of 4.18%.min^-1) were established by the method operable design region (MODR). The validation was performed by accuracy profiles using 90% expectation tolerance intervals for the selected compounds found in Citrus spp. using C. japonica as blank matrix. The lower limits of quantification for hesperidin, bergapten, herniarin, and citropten were 5.32, 0.40, 0.49, and 0.52 mg.L^-1, respectively (acceptance limit was set at ± 20%). Nobiletin did not show an adequate quantitative performance.

Comprehensive quality evaluation of Aconiti Lateralis Radix Praeparata based on pseudotargeted metabolomics and simultaneous determination of fifteen components, and development of new processed products of black slices with less toxicity

Aconiti Lateralis Radix Praeparata is one of the most famous traditional Chinese medicines possessing a variety of pharmacological activities on top of the toxicities. Due to the heterogeneity and non-standardization of the processing procedures, the subtypes and contents of the differential compounds between different processed products still remained indistinct, causing great risk in their proper use. In order to achieve the comparison and quality evaluation of different processed products of Aconiti Lateralis Radix Praeparata and develop new processed products with less toxicity, a quantification and pseudotargeted metabolomics method was developed based on the dynamic MRM mode of triple quadrupole (QqQ) mass spectrometry, and multivariate statistical analysis methods were applied to compare different processed products. Method validation results indicated good specificity, linearity, repeatability, precision, stability and recovery of the established quantification method and good linearity, precision and stability of the pseudotargeted metabolomics method. Differential compounds of different processed products were screened out and further confirmed by the quantification results. At last, the processing procedures were optimized to obtain new processed products of "Heishunpian" (black slices) with less toxicity, in which the contents of the toxic diester-type diterpenoid alkaloids were reduced from 106.98 μg/g to 0.85-12.96 μg/g. This study provided a valuable reference for the establishment of comprehensive quality evaluation methods of herbal medicines and a scientific basis for the optimization of processing procedures of Aconiti Lateralis Radix Praeparata.

Biomarkers of Metabolomics in Inflammatory Bowel Disease and Damp-Heat Syndrome: A Preliminary Study

Aims

This study aims to investigate the potential biomarkers of inflammatory bowel disease (IBD) and IBD with damp-heat syndrome (IBD-DH) by metabolomics.

Methods

Plasma and urine samples were collected from 15 healthy controls and 30 IBD patients, including 15 IBD-DH and 15 IBD with spleen deficiency syndrome (IBD-SD), which was coded as SF8G and SF70 according to the International Classification of Diseases Eleventh Revision (ICD-11) issued by World Health Organization. Pseudotargeted metabolomics method was used based on ultra-high-performance liquid chromatography-high-resolution mass spectrometry and triple-quadrupole mass spectrometry.

Results

Under the condition of false discovery rate (FDR) < 0.05, variable importance projection (VIP) > 1.0, and fold change (FC) > 1.5 or < 2/3, we found 57 plasma differential metabolites and 20 urinary differential metabolites in IBD. Then, with area under the curve (AUC) ≥ 0.85 and FC ≥ 2 or ≤ 0.3, 11 potential biomarkers were identified, such as acylcarnitine (ACar 20:4, ACar 18:1, and ACar 20:3), 3-indoleacetic acid, hippuric acid, and dehydroepiandrosterone sulfate, which is related to intestinal microbiota and immune response. However, less obvious differences were observed in IBD-DH when compared with IBD-SD. Under the condition of FDR < 0.2, VIP >1.0, and FC > 1.5 or < 2/3, we identified 16 plasma differential metabolites. In urine samples, IBD-DH and IBD-SD had the same metabolite pattern. With AUC ≥ 0.80, 7 differential plasma metabolites, mainly glycerophospholipids, were identified in IBD-DH. Kyoto Encyclopedia of Genes and Genomes analysis indicated that metabolic pathways, such as citrate cycle and amino acids metabolism, were mainly responsible for the distinction between IBD and healthy controls, whereas glycerophospholipid metabolism perturbation was not only a manifestation of IBD but also an important pathway to distinguish two subtypes defined by traditional medicine, IBD-DH and IBD-SD.

Conclusion

In this study, we found that several metabolites of aromatic acids and lipid derivatives could act as potential biomarkers to discriminate IBD from healthy controls. Glycerophospholipids metabolites might be used to differentiate IBD-DH from IBD-SD.

Screening of Potential Anti-Thrombotic Ingredients from Salvia miltiorrhiza in Zebrafish and by Molecular Docking

Background: Danshen (DS), the dry root of Salvia miltiorrhiza Bge., has been used in traditional Chinese medicine (TCM) for many years to promote blood circulation and to inhibit thrombosis. However, the active ingredients responsible for the anti-thrombotic effect and the underlying mechanisms are yet to be fully elucidated. Methods: Molecular docking was used to predict the active ingredients in DS and their potential targets by calculating the scores of docking between DS ingredients and thrombosis-related proteins. Then, a chemical-induced zebrafish thrombosis model was applied to confirm their anti-thrombotic effects. Result: The molecular docking results indicated that compared to the control ligand, higher docking scores were observed for several compounds in DS, among which salvianolic acid B (SAB), lithospermic acid (LA), rosmarinic acid (MA), and luteolin-7-O-β-d-glucoside (LG) could attenuate zebrafish caudal vein thrombosis and recover the decrease in heart red blood cells (RBCs) in a dose-dependent manner. Conclusions: Our study showed that it is possible to screen the potential active components in natural products by combining the molecular docking method and zebrafish in vivo model.

Identification of compounds with antipyretic effects and anti-endotoxin activity in different species of Lonicera japonica using spectrum-effect correlation

Liquid chromatography (LC) is a common and straight forward approach used in the evaluation of the quality of Traditional Chinese Medicines (TCMs). Quality control is a critical step when systematically assessing the efficacy of TCMs. In the present study, the spectrum-effect correlation method was used to identify pharmacologically active substances. The aim of the present study was to investigate the underlying correlations between common chemical compounds with antipyretic effects and the anti-endotoxin activity of Lonicera japonica. The common chemical constituents of Lonicera japonica were analyzed using LC, and the antipyretic effects and anti-endotoxin activity were determined using ELISAs. Combining the results of bivariate and principal component analysis methods, eight active constituents were qualitatively and quantitatively analyzed. The results of these analyses indicated that neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid and isochlorogenic acids A, B and C served a synergistic role with respect to antipyretic effects and anti-endotoxin activity. The present study lays a foundation for the future clinical use of Lonicera japonica.

Interaction of nobiletin with methotrexate ameliorates 7-OH methotrexate-induced nephrotoxicity through endoplasmic reticulum stress-dependent PERK/CHOP signaling pathway

Drug-induced nephrotoxicity is a frequent adverse event that contributes to acute kidney injury with tubular and/or glomerular lesions. Methotrexate (MTX) is a folate analog used against a myriad of malignancies and autoimmune diseases. Unfortunately, ambiguous renal toxicology limits its safe clinical usage. Based on our previous studies, 7-OH MTX as an overlooked oxidative metabolite of MTX was proposed to be the main culprit responsible for nephrotoxicity, while nobiletin, a naturally occurring polymethoxylated flavonoid screened from our prepared total phenolic extracts of Citrus aurantium L. (TPE-CA), was employed as a therapeutic agent for drug-drug interactions. According to the present study, nobiletin can ameliorate the renal accumulation of 7-OH MTX through the interaction with aldehyde oxidase. RNA-seq analysis revealed that 7-OH MTX was mainly related to protein processing in endoplasmic reticulum (ER) stress, with the PERK/CHOP pathway selected as the most significant for metabolic nephrotoxicity. Meanwhile, the cross-linked proteins and conducted signals were investigated by western blotting and further verified by GSK inhibition analyses. These results indicated that nobiletin protected renal function from MTX-induced nephrotoxicity by modulating metabolism and ameliorated the metabolic toxicity of 7-OH MTX on ER stress-induced PERK/CHOP conduction by maintaining Ca²⁺ homeostasis and reducing the production of reactive oxygen species.

A new PARAFAC-based algorithm for HPLC-MS data treatment: herbal extracts identification

INTRODUCTION

Role of highly informative high-performance liquid chromatography mass spectrometry (HPLC-MS) methods in quality control is increasing. Complex herbal products and formulations can simultaneously contain extracts from different plants. Therefore, due to the leads to lack of commercial standards it is important to develop novel approaches for comprehensive treatment of big datasets.

OBJECTIVE

The aim of this study is to create a straightforward and information-saving algorithm for the identification of plants extracts in commercial products.

MATERIAL AND METHODS

In total, 34 samples, including Glycyrrhiza glabra and Panax ginseng dried roots; and Abrus precatorius dried leaves, their double and triple mixtures and flavoured oolong tea samples were analysed by HPLC-MS and combined in a three-dimensional dataset (retention time-mass-to-charge ratio (m/z)-samples). This dataset was subjected to smoothing and denoising techniques and further decomposed using parallel factor analysis (PARAFAC).

RESULTS

Samples were divided into eight clusters; loading matrices were interpreted and the presence of the most characteristic triterpene glycoside groups was demonstrated and supported by the characteristic chromatogram approach. The occurrence of Abrus precatorius and G. glabra additives in flavoured tea was confirmed.

CONCLUSION

Developed HPLC-MS-PARAFAC method is potentially reliable and an efficient tool for handling untreated experimental data and its future development may lead to more comprehensive evaluation of chemical composition and quality control of food additives and other complex mixtures.

1H-NMR-based urinary metabolomic analysis for the preventive effects of gushudan on glucocorticoid-induced osteoporosis rats

Gushudan (GSD), a traditional Chinese medicine with a history of more than 15 years, has been shown to have anti-osteoporosis effects, but the specific therapeutic mechanism behind it is still unclear. To further elucidate the pathogenesis of osteoporosis and the preventive mechanism of GSD on glucocorticoid-induced osteoporosis (GIOP) rats, a rapid and comprehensive ¹H NMR metabolomics method was established to detect urinary metabolic profiles in the control group, model group and GSD treatment group in this study. The orthogonal partial least squares discriminant analysis (OPLS-DA) was performed to investigate changes in the metabolites, and related metabolic pathways were discovered using MetaboAnalyst platform. As a result, a total of 27 differential metabolites were identified. Of these, 17 metabolites such as formate, allantoin and l-threonate were newly discovered as GIOP potential biomarkers. Energy metabolism, intestinal flora metabolism, amino acid metabolism and oxidative stress response were significantly changed in the urinary profiles of GIOP rats, and GSD could play an anti-osteoporosis role by regulating these metabolic pathways. This study compliments the earlier LC-MS based urine metabolomics research, and helps further understand the pathogenesis of osteoporosis and the potential preventive effects of GSD on GIOP rats.

Development of a plasma pseudotargeted metabolomics method based on ultra-high-performance liquid chromatography-mass spectrometry

Untargeted methods are typically used in the detection and discovery of small organic compounds in metabolomics research, and ultra-high-performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS) is one of the most commonly used platforms for untargeted metabolomics. Although they are non-biased and have high coverage, untargeted approaches suffer from unsatisfying repeatability and a requirement for complex data processing. Targeted metabolomics based on triple-quadrupole mass spectrometry (TQMS) could be a complementary tool because of its high sensitivity, high specificity and excellent quantification ability. However, it is usually applicable to known compounds: compounds whose identities are known and/or are expected to be present in the analyzed samples. Pseudotargeted metabolomics merges the advantages of untargeted and targeted metabolomics and can act as an alternative to the untargeted method. Here, we describe a detailed protocol of pseudotargeted metabolomics using UHPLC-TQMS. An in-depth, untargeted metabolomics experiment involving multiple UHPLC-HRMS runs with MS at different collision energies (both positive and negative) is performed using a mixture obtained using small amounts of the analyzed samples. XCMS, CAMERA and Multiple Reaction Monitoring (MRM)-Ion Pair Finder are used to find and annotate peaks and choose transitions that will be used to analyze the real samples. A set of internal standards is used to correct for variations in retention time. High coverage and high-performance quantitative analysis can be realized. The entire protocol takes ~5 d to complete and enables the simultaneously semiquantitative analysis of 800-1,300 metabolites.

Naturally Occurring TPE-CA Maintains Gut Microbiota and Bile Acids Homeostasis via FXR Signaling Modulation of the Liver-Gut Axis

Antibiotics-induced changes in intestinal flora (dysbiosis) may have various effects on the host. Dysbiosis is associated with numerous metabolites including bile acids, which are produced in the liver from cholesterol and metabolized in the gut by intestinal microbiota. Total phenolic extracts of Citrus aurantium L. (TPE-CA) are rich in dietary flavanones and their glycosyl derivatives, including flavones, flavonols, polymethoxyflavones and coumarins, which exert positive health effects on the microbiota. The aim of this study is to elucidate the interplays between the intestinal microbiota and bile acids metabolism attributed to antibiotics. Mice were exposed to broad-spectrum antibiotics, such as ampicillin, streptomycin and clindamycin, for 14 days. This exposure resulted in reduced bacterial diversity and richness, and destroyed intestinal permeability. The homeostasis of bile acids was also affected. Subsequent TPE-CA administration, counteracted most of the dysbiosis, and reshaped intestinal permeability, these effects occurred via upregulation of zonula occludens 1 and occludin associated proteins and downregulation of serum endotoxin compared to the antibiotics group. TPE-CA maintained the homeostasis of bile acids via modulation of the liver-gut axis related farnesoid X receptor (FXR)/fibroblast growth factor 15 (FGF15) pathway and FXR-targeted protein. Our findings indicated that TPE-CA exerted a protective effect on the restoration of intestinal microbiota composition, reshaped barrier integrity and maintained bile acid homeostasis via the liver-gut axis with antibiotics-induced dysbiosis.

Hepatoprotective Effect of Citrus aurantium L. Against APAP-induced Liver Injury by Regulating Liver Lipid Metabolism and Apoptosis

Acetaminophen (APAP) refers to a medication used to manage pain and fever symptoms, but it always causes liver injury when overdosed. Zhishi, dried young fruit of Citrus aurantium L., is a famous Citrus herbal medicine in Asian countries which is rich in dietary phenolic substances. In this study, the mechanism of Zhishi protected against APAP-induced liver injury was studied more deeply by metabolomic strategy and pharmacological study. The metabolomics results demonstrated that Zhishi can prevent the APAP-induced liver injury model by regulating liver metabolic disorders in glycerophospholipid metabolism, fatty acid biosynthesis and glycerolipid metabolism. Moreover, it is confirmed that Zhishi blocked apoptosis of APAP-induced BRL-3A cell by simultaneously regulating p53 up-regulated apoptosis regulator (PUMA), AMPK-SIRT1 and JNK1 signaling pathways. Our findings indicated that Zhishi exhibited a hepaprotective effect against APAP-induced liver necrosis by inhibiting the PUMA and reversing disorder of liver lipid metabolism which could assist in improving the clinical outcomes of chemical-induced liver injury.

Vascular Protection of TPE-CA on Hyperhomocysteinemia-induced Vascular Endothelial Dysfunction through AA Metabolism Modulated CYPs Pathway

A high concentration of homocysteine (Hcy) in plasma induces vascular endothelial dysfunction, and it may ultimately accelerate the development of cardiovascular diseases (CVDs). Although several B vitamins have been clinically applied for hyperhomocysteinemia (HHcy) treatment, the outcomes are not satisfied due to their limited therapeutic mechanism. Hence, in order to improve the curative effect, development of new effective therapeutic strategies should be put on the agenda. Total phenolic extracts of Citrus aurantium L. (TPE-CA) is a naturally obtained phenolic mixture, mainly containing flavones, flavanones and their glycosyl derivatives, flavonols, polymethoxyflavones and coumarins. Previous reports indicated that bioactive phenolic compounds possessed potent vascular protective effects and regarded as a protective agent against CVDs. Intriguingly, the exact mechanism underlying the suppressed effects of TPE-CA on HHcy could assist in revealing their therapy on CVDs. Here, the multi-targeted synergistic mechanism of TPE-CA on HHcy-induced vascular endothelial dysfunction was uncovered in a deduced manner. TPE-CA treatment exhibited an obvious superiority than that of B vitamins treatment. Network pharmacology was employed to identify the interrelationships among compounds, potential targets and putative pathways. Further experimental validation suggested that the treatment of TPE-CA for HHcy could not only effectively reduce the Hcy level in plasma through up-regulating transsulfuration pathway in Hcy metabolism, but also restore the HHcy-induced vascular endothelial dysfunction by activating cytochrome P450 enzymes (CYPs) epoxygenase signal cascades and inhibiting CYPs hydroxylase signal cascades in arachidonic acid (AA) metabolism.

Synergistic enhancement and hepatoprotective effect of combination of total phenolic extracts of Citrus aurantium L. and methotrexate for treatment of rheumatoid arthritis

Rheumatoid arthritis (RA) is an autoimmune inflammatory disorder characterized by joint destruction and bone damage. Methotrexate (MTX) is recommended as the first-line disease-modifying agent for the treatment of RA. However, the clinical efficacy of MTX is limited due to its low response and side effects, especially hepatotoxicity. Total phenolic extracts of Citrus aurantium L. (TPE-CA) are rich in dietary bioactive flavonoids, which show beneficial effects on liver health and are regarded as therapeutic tools against inflammatory diseases. In this study, the efficacy of MTX, alone or in combination with TPE-CA, for the treatment of collagen-induced arthritis and protection against hepatic injury in rats was investigated. TPE-CA and MTX combination effectively reduced the inflammatory symptoms and joint damage by inhibiting the NF-κB pathway. Moreover, TPE-CA significantly ameliorated MTX-induced chronic hepatic injury by enhancing antioxidant enzymes activities, suppressing hepatic cytochrome P450 2E1 expression, and modulating the nuclear factor erythroid 2-related factor 2/heme oxygenase-1 pathway. This combination regimen not only provided synergistic enhancement but also exhibited hepatoprotective effect against chemically induced chronic hepatotoxicity. This could be an alternative strategy to improve the low response of MTX in RA treatment.

Research on correlation of compositions with oestrogenic activity of Cistanche based on LC/Q-TOF-MS/MS technology

LC technology is a recognized method used worldwide to evaluate the quality of traditional Chinese medicines (TCM). The quality of TCM has a direct impact on its efficacy. Therefore, in order to thoroughly reveal how TCM exerts its efficacy, first of all, it is necessary to understand the material basis for its efficacy, and then to control the quality of active compounds. The application of the spectrum-effect relationship method is crucial for determining the pharmacological material basis. The goal of this paper was to investigate the underlying correlations between the chemical profiles and oestrogenic activity of Cistanche, to reveal the active compounds. The chemical profiles of Cistanche were recorded using HPLC/Q-TOF-MS/MS, and oestrogenic activity was determined by the Uterus growth test and the MTT assay. Then combining the results of bivariate analysis, principal component analysis and gray correlation analysis method, fifteen active compounds were identified. They are 8-epiloganic acid, salidroside, syringalide A 3’-α-l-rhamnopyranoside, cistanoside A, echinacoside, cistanoside F, cistanoside B, cistanoside C, osmanthuside B, acteoside, isoacteoside, tubuloside B, 2’-acetylacteoside, and two unknown compounds. This study lays a foundation for in vivo studies of Cistanche and for the development of its clinical application.

Characterization of estrogenic active ingredients in Cuscuta chinensis Lam. based on spectral characteristics and high‑performance liquid chromatography/quadrupole time‑of‑flight mass spectrometry

High-performance liquid chromatography (HPLC) is an efficient method that is widely used to assess the quality of traditional Chinese medicine (TCM). It is well known that the quality of TCM has a direct effect on its efficacy; therefore, in order to thoroughly explain how TCM exerts its efficacy, it is necessary to characterize its active ingredients and assess their quality. The application of the spectrum‑effect method is crucial for determining the pharmacological basis of materials. The aim of the present study was to examine the correlation between chemical spectra and estrogenic activity of Cuscuta chinensis Lam., in order to reveal active compounds with potential therapeutic effects. The spectra of Cuscuta chinensis Lam. were recorded using HPLC, and estrogenic activity was determined using a uterus growth test and MTT assay. Combination of the results of bivariate analysis, principal component analysis and Gray relational analysis identified 19 active compounds, as follows: Quercetin‑3‑O‑(2'‑O‑α‑rhamnosy‑6'‑O‑malony)‑​β‑D‑glucoside, ka-empferol‑3‑O‑β‑D‑aplosyl‑(1→2)‑​[‑α‑​L‑rhamnosy‑(1→6)]‑β-wD-glucoside, 6‑O‑(E)‑P‑coumaroyl)‑β‑​D‑fructofuranosyl‑(2→1)‑α‑D‑glucopyranoside, kaempferol‑7‑rhamnosy, kaempferol‑3‑β‑D-glucuronide, apigenin, 4‑caffeoyl‑5‑coumaroylquinic acid, kaempferol‑3‑arabofuranoside, quercetin‑3‑O-β‑D-apiofuranosyl-(1→2)-β‑D‑galactoside, dicaffeoylquinic acid, hyperin, quercitin, isorhamnetin, chlorogenic acid, quercetin, quercltrin‑2''‑gallate, quercetin‑3, 7‑α‑L‑dirhamnoside and stigmasterol, as well as one unknown compound. The present study laid a foundation for in vivo metabolic studies regarding Cuscuta chinensis Lam. and for the development of its clinical application.

Anti-inflammatory effects of Zhishi and Zhiqiao revealed by network pharmacology integrated with molecular mechanism and metabolomics studies

BACKGROUND

The inflammatory response has a complex pathogenesis; thus, it is a critical contributor to the development and complication of many diseases. Zhishi and Zhiqiao are famous Citrus herbal medicines that are rich in bioactive phenolic constituents with multiple anti-inflammatory activities.

PURPOSE

Establishment of a multi-component-target-pathway network strategy to investigate the usage of Zhishi and Zhiqiao on inflammatory diseases can provide a reference for mechanisms of traditional Chinese medicine (TCM).

STUDY DESIGN

A multi-component-target-pathway network strategy was constructed to elucidate the various antiinflammatory effects of Zhishi and Zhiqiao by integrating multi-constituent determination, network pharmacology, molecular mechanisms in cells and integrated metabolomics in animals.

METHODS

Based on the quantitatively determined global and characteristic chemical profiles of Zhishi and Zhiqiao, the component-target-pathway network was predicted by network pharmacology coupled with text mining and docking. The potential antiinflammatory mechanism of the various components in Zhishi and Zhiqiao were verified using LPS-induced inflammatory responses in RAW 264.7 cells. The different metabolic regulating effects of Zhishi and Zhiqiao against an LPS-induced inflammation model were investigated using a plasma metabolomics strategy.

RESULTS

The molecular mechanism of Zhishi mainly suppressed the MAPK signaling pathway, whereas Zhiqiao emphasized the PPAR-AKT signaling pathways simultaneously to block the inflammatory process. Meanwhile, Zhishi and Zhiqiao both exhibited an anti-inflammatory effect by inhibiting the NF-κB signaling pathway to reduce the production of inflammatory mediators. In the metabolomics study, Zhishi and Zhiqiao exhibited variant corrections of the disordered metabolic pathways through amino acid metabolism, glycometabolism and lipid metabolism.

CONCLUSION

All of these results indicate that Zhishi and Zhiqiao, in a diversified mixture, exert their anti-inflammatory effect through variant pathways. These findings can assist in developing the use of Zhishi and Zhiqiao for inflammatory diseases.

Treatment of Rheumatoid Arthritis Using Combination of Methotrexate and Tripterygium Glycosides Tablets-A Quantitative Plasma Pharmacochemical and Pseudotargeted Metabolomic Approach

Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by chronic destructive synovitis and is associated with progressive disability, systemic difficulties, premature death, and socioeconomic costs. Early intervention with disease-modifying antirheumatic drugs (DMARDs) like methotrexate (MTX) and its combination regimen would provide obvious benefits to patients, healthcare systems and society. MTX and tripterygium glycosides tablets (TGT_S) are most frequently prescribed medicines for RA, and the combination of them occurs frequently in anti-RA prescriptions. While the underlying combination mechanisms and the affected variation of drug blood level remain unclear. According to the American College of Rheumatology criteria for improvement, clinical evaluation following three treatment groups (i.e., MTX and TGT_S mono- and combined groups) were carried out at baseline and at the end of 12 weeks in a randomized controlled clinical trial. To monitor the affected variation of drug blood level and perturbation of metabolites caused by MTX plus TGT_S combined to treat active RA, the collected plasma samples were analyzed using RRLC-QqQ-MS and UHPLC-QE Orbitrap HRMS instruments. As a result, 39 metabolites including 7 MTX-related metabolites, 13 TGT_S-related migratory ingredients and 19 characteristic endogenous metabolites, were quantitatively determined in plasma samples of RA patients after oral administration. The potential mechanism of MTX and TGT_S combination were preliminarily elucidated on the aspect of clinical biochemical test indicators integrated with quantitative plasma pharmacochemistry and the pseudotargeted metabolomics.

A new approach to examining the extraction process of Zhishi and Zhiqiao considering the synergistic effect of complex mixtures by PAMPA

Zhishi (ZS) and Zhiqiao (ZQ) are two important traditional Chinese medicines (TCMs) that exert various pharmacological functions due to their active ingredients. However, the oral absorption of these ingredients requires further study. At the early drug discovery stage, the high-throughput parallel artificial membrane permeability assay (PAMPA) is one of the most frequently used to predict transcellular passive absorption in in-vitro models. This study aims to establish a new approach to examine an optimal extraction process that can take into account not only the concentration of active ingredients but also the overall absorption properties of the mixtures extracted from TCMs. A high-performance liquid chromatography triple-quadrupole mass spectrometry (HPLC-QqQ-MS/MS) method was validated for the determination of the effective permeability value (P_e) applied to the above experimental medium. The PAMPA experiment showed that certain active ingredients such as diosmin, rhoifolin, eriocitrin, narirutin, naringin, hesperidin and neohesperidin were not detected in the permeability assay of mono-constituents but were well detected and achieved a better absorption in the permeability assay of the mixture, indicating that certain unknown ingredients may act as cosolvents to improve the solubility or permeability of other ingredients. Furthermore, solid phase extraction (SPE) as an enrichment and purification process enhances absorption. In the present study, a novel in vitro approach was developed to decipher the potential role of TCMs in global absorption, and the extraction process for complex TCMs was described and systematically optimized.

Development on porous particles of Pueraria lobatae Radix for improving its compactibility and dissolution

Herein, we report a study on the influence of particles having different porosities on tablet performance. The ethanol extract of Pueraria lobatae Radix (EPL) was chosen as the model drug. A series of porous EPL particles were prepared by co-spray drying EPL with different amounts of ammonium bicarbonate (NH4HCO3), and their powder properties (particle morphology, particle size, porosity, flowability, bulk density, and tap density) and tablet properties (tensile strength, E sp, yield pressure, dissolution, etc.) were comparatively investigated. The results showed that there were significant differences in the fundamental and functional properties of the spray-dried and parent EPLs. First, the irregular and dense primary EPL particles were transformed into loose, hollow, and spheroidal particles via co-spray drying with NH4HCO3. Second, compared to parent EPL, porous EPLs showed a significant improvement (1.80-7.03 times) in compactibility. Third, the dissolution rates of porous EPLs were similar, and all were more than twice as fast as that of parent EPL. The increased porosity, on the one hand, led to the increase in interparticle and intraparticle bonding forces during tableting and, on the other hand, facilitated water intrusion into tablets for disintegration and dissolution. Porous particle design is therefore promising, especially for drugs with both poor compactibility and dissolution.

An integrated strategy to improve data acquisition and metabolite identification by time-staggered ion lists in UHPLC/Q-TOF MS-based metabolomics

The narrow linear range and the limited scan time of the given ion make the quantification of the features challenging in liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics with the full-scan mode. And metabolite identification is another bottleneck of untargeted analysis owing to the difficulty of acquiring MS/MS information of most metabolites detected. In this study, an integrated workflow was proposed using the newly established multiple ion monitoring mode with time-staggered ion lists (tsMIM) and target-directed data-dependent acquisition with time-staggered ion lists (tsDDA) to improve data acquisition and metabolite identification in UHPLC/Q-TOF MS-based untargeted metabolomics. Compared to the conventional untargeted metabolomics, the proprosed workflow exhibited the better repeatability before and after data normalization. After selecting features with the significant change by statistical analysis, MS/MS information of all these features can be obtained by tsDDA analysis to facilitate metabolite identification. Using time-staggered ion lists, the workflow is more sensitive in data acquisition, especially for the low-abundant features. Moreover, the metabolites with low abundance tend to be wrongly integrated and triggered by full scan-based untargeted analysis with MS^E acquisition mode, which can be greatly improved by the proposed workflow. The integrated workflow was also successfully applied to discover serum biosignatures for the genetic modification of fat-1 in mice, which indicated its practicability and great potential in future metabolomics studies.

Simultaneous Determination of Seven Components in Rat Plasma by the UPLC-MS/MS Method and Application of Pharmacokinetic Studies to SimiaoYong'an Decoction

SimiaoYong'an Decoction (SYD) is a classical traditional Chinese prescription that is used for the treatment of gangrene, heat-clearing, detoxification and pain alleviation. We developed a sensitive ultra-performance liquid chromatography-tandem mass spectrum (UPLC-MS/MS) method for the simultaneous determination of seven major active ingredients of SYD extract (i.e., harpagide, chlorogenic acid, sweroside, loganin, liquiritin, angoroside C and harpagoside) in rat plasma. The preliminary steps in the plasma analysis were the addition of an internal standard such as linarin, followed by protein precipitation with methanol. Separation of the active ingredients was performed on an ACQUITY UPLC^® BEH C18 column (100 mm × 2.1 mm, 1.7 μm) at a flow rate of 0.2 mL/min with methanol/water 0.1% formic acid aqueous (V/V) as the mobile phase. Detection was performed on a triple quadrupole tandem MS (QqQ-MS) via negative ion electrospray ionization in multiple reactions monitoring (MRM) mode. All calibration curves showed good linearity (r > 0.99) over the concentration range with a low limit of quantification between 0.029 and 5.813 ng/mL. Precision was evaluated by intra-day and inter-day assays, and the percentages of the RSD were all within 8.1%. The extraction efficiency and matrix effect were 80.6-113.6% and 82.9-99.5%, respectively. The validated method was successfully applied to a pharmacokinetic study in rats after oral administration of SYD extract and the corresponding single and combined traditional Chinese medicines (TCMs). The pharmacokinetic properties of the seven ingredients showed dynamic changes due to counteraction among the different coexisting components. The established approach has proven useful in the study of the active constituents in a traditional Chinese prescription.

Chemotaxonomic Classification Applied to the Identification of Two Closely-Related Citrus TCMs Using UPLC-Q-TOF-MS-Based Metabolomics

This manuscript elaborates on the establishment of a chemotaxonomic classification strategy for closely-related Citrus fruits in Traditional Chinese Medicines (TCMs). UPLC-Q-TOF-MS-based metabolomics was applied to depict the variable chemotaxonomic markers and elucidate the metabolic mechanism of Citrus TCMs from different species and at different ripening stages. Metabolomics can capture a comprehensive analysis of small molecule metabolites and can provide a powerful approach to establish metabolic profiling, creating a bridge between genotype and phenotype. To further investigate the different metabolites in four closely-related Citrus TCMs, non-targeted metabolite profiling analysis was employed as an efficient technique to profile the primary and secondary metabolites. The results presented in this manuscript indicate that primary metabolites enable the discrimination of species, whereas secondary metabolites are associated with species and the ripening process. In addition, analysis of the biosynthetic pathway highlighted that the syntheses of flavone and flavone glycosides are deeply affected in Citrus ripening stages. Ultimately, this work might provide a feasible strategy for the authentication of Citrus fruits from different species and ripening stages and facilitate a better understanding of their different medicinal uses.

Identification of a Quality Marker (Q-Marker) of Danhong Injection by the Zebrafish Thrombosis Model

Quality-marker (Q-marker) is an emerging concept to ensure the quality and batch-to-batch consistency of Chinese medicine (CM). However, significant difficulties remain in the identification of Q-markers due to the unclear relationship between complex chemical compositions and the pharmacological efficacy of CM. In the present study, we proposed a novel strategy to identify the potential Q-marker of danhong injection (DHI) by an in vivo zebrafish thrombosis model. The anti-thrombotic effects of DHI and its major constituents were evaluated by the zebrafish model of arachidonic acid (AA)-induced thrombosis. The results indicated that DHI can attenuate tail venous thrombus and recover the decrease of heart red blood cell (RBC) intensity in a dose-dependent manner. The result that DHI prevented the formulation of thrombosis in zebrafish was also validated in the zebrafish thrombosis model with green fluorescence protein (GFP)-labeled hemoglobin. The major components of DHI, namely danshen (DS) and honghua (HH), as well as the major chemical constituents of DHI, also exerted anti-thrombotic effects, among which rosmarinic acid (RA) and p-coumaric acid (pCA) showed moderate anti-thrombotic effects. This is the first time that pCA from HH has been found as an active compound exerting an anti-thrombotic effect in a dose-dependent manner, whose IC₅₀ value is approximately 147 μg/mL. By analyzing 10 batches of normal DHI samples and five abnormal samples by high-performance liquid chromatography (HPLC), we found the contents of pCA and RA can be positively correlated to the anti-thrombotic effect of DHI, suggesting that pCA and RA could be potential Q-markers of DHI to ensure batch-to-batch consistency. Our findings illustrated that discovering major active compounds from CM by in vivo pharmacological models can be a useful approach to identifying Q-markers of CM, and in vivo pharmacological models can be a potential tool to evaluate batch-to-batch consistency of CMs.