Preparation and Properties of GO/ZnO/nHAp Composite Microsphere Bone Regeneration Material.

The purpose of this study is to explore the possibility of using graphene-zinc oxide-hydroxyapatite (GO/ZnO/nHAp) composite microspheres as bone regeneration materials by making use of the complementary advantages of nanocomposites, so as to provide reference for the clinical application of preventing and solving bacterial infection after implantation of synthetic materials. Firstly, GO/ZnO composites and hydroxyapatite nanoparticles were synthesized using the hydrothermal method, and then GO/ZnO/nHAp composite microspheres were prepared via high-temperature sintering. The graphene-zinc oxide-calcium phosphate composite microspheres were characterized by X-ray diffraction (XRD), field emission scanning electron microscopy (FE-SEM), X-ray photoelectron spectroscopy (XPS), energy dispersion spectroscopy (EDS), water contact angle measurement, degradation and pH determination, and differential thermal analysis (DiamondTG/DTA). The biocompatibility, osteogenic activity, and antibacterial activity of GO/ZnO/nHAp composite microspheres were further studied. The results of the cell experiment and antibacterial experiment showed that 0.5% and 1% GO-ZnO-nHAp composite microspheres not only had good biocompatibility and osteogenic ability but also inhibited Escherichia coli and Staphylococcus aureus by more than 45% and 70%. Therefore, GO/ZnO/nHAp composite microspheres have good physical and chemical properties and show good osteogenic induction and antibacterial activity, and this material has the possibility of being used as a bone regeneration material.

An NIR-II Excitable AIE Small Molecule with Multimodal Phototheranostic Features for Orthotopic Breast Cancer Treatment.

One-for-all phototheranostics, referring to a single component simultaneously exhibiting multiple optical imaging and therapeutic modalities, has attracted significant attention due to its excellent performance in cancer treatment. Benefitting from the superiority in balancing the diverse competing energy dissipation pathways, aggregation-induced emission luminogens (AIEgens) are proven to be ideal templates for constructing one-for-all multimodal phototheranostic agents. However, to this knowledge, the all-round AIEgens that can be triggered by a second near-infrared (NIR-II, 1000-1700 nm) light have not been reported. Given the deep tissue penetration and high maximum permissible exposure of the NIR-II excitation light, herein, this work reports for the first time an NIR-II laser excitable AIE small molecule (named BETT-2) with multimodal phototheranostic features by taking full use of the advantage of AIEgens in single molecule-facilitated versatility as well as synchronously maximizing the molecular donor-acceptor strength and conformational distortion. As formulated into nanoparticles (NPs), the high performance of BETT-2 NPs in NIR-II light-driven fluorescence-photoacoustic-photothermal trimodal imaging-guided photodynamic-photothermal synergistic therapy of orthotopic mouse breast tumors is fully demonstrated by the systematic in vitro and in vivo evaluations. This work offers valuable insights for developing NIR-II laser activatable one-for-all phototheranostic systems.

A study on the anti-osteoporosis mechanism of isopsoralen based on network pharmacology and molecular experiments.

OBJECTIVE: Osteoporosis (OP) is a disease caused by multiple factors. Studies have pointed out that isopsoralen (IPRN) is one of the most effective drugs for the treatment of OP. Based on network pharmacological and molecular experimental analysis, the molecular mechanism of IPRN in osteoporosis is clarified. METHODS: IPRN target genes and OP-related genes were predicted from the databases. Intersections were obtained and visualized. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on target genes, which was confirmed by experiments internal and external experiments. Molecular docking was used to verify the binding between IPRN and target proteins. Molecular dynamics (MD) simulates the binding affinity of protein targets and active compounds. RESULTS: 87 IPRN target genes and 242 disease-related targets were predicted. The protein-protein interaction (PPI) network identified 18 IPRN target proteins for the treatment of OP. GO analysis indicated that target genes were involved in biological processes. KEGG analysis showed that pathways such as PI3K/AKT/mTOR were associated with OP. Cell experiments (qPCR and WB) found that the expressions of PI3K, AKT, and mTOR in MC3T3-E1 cells at 10 µM, 20 µM, and 50 µM IPRN concentrations, especially at 20 µM IPRN treatment, were higher than those in the control group at 48 h. Animal experiments also showed that compared with the control group, 40 mg/kg/time IPRN could promote the expression of the PI3K gene in chondrocytes of SD rats. CONCLUSIONS: This study predicted the target genes of IPRN in the treatment of OP and preliminarily verified that IPRN plays an anti-OP role through the PI3K/AKT/mTOR pathway, which provides a new drug for the treatment of OP.

Rhodiola rosea: A Therapeutic Candidate on Cardiovascular Diseases.

Cardiovascular diseases, also known as circulatory diseases, are diseases of the heart and blood vessels, and its etiology is hyperlipidemia, thick blood, atherosclerosis, and hypertension. Due to its high prevalence, disability, and mortality, it seriously threatens human health. According to reports, the incidence of cardiovascular disease is still on the rise. Rhodiola rosea is a kind of traditional Chinese medicine, which has the effects of antimyocardial ischemia-reperfusion injury, lowering blood fat, antithrombosis, and antiarrhythmia. Rhodiola rosea has various chemical components, and different chemical elements have the same pharmacological effects and medicinal values for various cardiovascular diseases. This article reviews the research on the pharmacological effects of Rhodiola rosea on cardiovascular diseases and provides references for the clinical treatment of cardiovascular diseases.

[Prescription and medication regularity of traditional Chinese medicine for treating child pneumonia based on data mining].

To analyze and summarize formulae of traditional Chinese medicine(TCM) in the treatment of pediatric pneumonia in CNKI based on the data mining method. CNKI was retrieved for literatures of TCM treatment of pneumonia in children in recent 20 years, which was taken the data source. After screening, a prescription database was established. Frequency analysis, association rules Apriori algorithm and complex system entropy clustering analysis methods integrated in TCMISS(V2.5) were applied in data analysis and mining. Core drugs and their properties and flavors, medication modes and new prescriptions were summarized and studied. A total of 408 prescriptions were screened out, involving 218 drugs, among which Chinese herbal medicines with the highest use frequency included Gancao(Glycyrrhizae Radix et Rhizoma), Xingren(Armeniacae Semen Amarum), Huangqin(Scutellariae Radix), Mahuang(Ephedrae Herba), Jiegeng(Platycodonis Radix), Banxia(Pinelliae Rhizoma), Sangbaipi(Mori Cortex), Chenpi(Citri Reticulatae Pericarpium), Fuling(Poria), Jinyinhua(Japonicae Lonicerae Flos). Flavors were mainly bitter, sweet and pungent; and the main medicinal property was cold. Most of these drugs entered lung meridian(LU), stomach meridian(ST) and spleen meridian(SP); and the association rules between drugs were established. Totally 6 new prescriptions were obtained through entropy hierarchical cluster analysis. Our results objectively presented, at present, TCM focuses on phlegm and heat in treating children's pneumonia, which targets at lung and also treats spleen and stomach. The main therapies aim to clear heat and resolve phlegm, ventilate lung and relieve cough and dyspnea, release exterior and dissipate cold, and relieve cough and eliminate phlegm. The results of statistical analysis are basically consistent with the consensus of experts, which can provide theoretical basis for clinical medication and drug development.

Concomitant memantine and Lactobacillus plantarum treatment attenuates cognitive impairments in APP/PS1 mice.

Trimethylamine-N-oxide (TMAO) is a gut microbial metabolite that promotes Alzheimer's disease (AD) progression. Given that probiotics can alleviate AD symptoms by inhibiting the synthesis of TMAO, here we investigated the correlation between TMAO and cognitive deterioration by measuring TMAO levels in the plasma of choline-treated APP/PS1 mice (an AD mouse model) with and without probiotic treatments. We found that declines in L.plantarum in the gut were associated with cognitive impairment. Moreover, 12-weeks of treatment with memantine plus L. plantarum ameliorated cognitive deterioration, decreased Αß levels in the hippocampus, and protected neuronal integrity and plasticity. These effects were accompanied by reductions in TMAO synthesis and neuroinflammation. These experiments demonstrate that L. plantarum augments the beneficial therapeutic effects of memantine treatment in APP/PS1 mice by remodeling the intestinal microbiota, inhibiting the synthesis of TMAO, and reducing clusterin levels. Our results thus highlight intestinal microbiota as a potential therapeutic target to decrease the risk of AD.

Targeting strategies for superparamagnetic iron oxide nanoparticles in cancer therapy.

Among various nanoparticles, superparamagnetic iron oxide nanoparticles (SPIONs) have been increasingly studied for their excellent superparamagnetism, magnetic heating properties, and enhanced magnetic resonance imaging (MRI). The conjugation of SPIONs with drugs to obtain delivery nanosystems has several advantages including magnetic targeted functionalization, in vivo imaging, magnetic thermotherapy, and combined delivery of anticancer agents. To further increase the targeting efficiency of drugs through a delivery nanosystem based on SPIONs, additional targeting moieties including transferrin, antibodies, aptamers, hyaluronic acid, folate, and targeting peptides are coated onto the surface of SPIONs. Therefore, this review summarizes the latest progresses in the conjugation of targeting molecules and drug delivery nanosystems based on SPIONs, especially focusing on their performances to develop efficient targeted drug delivery systems for tumor therapy. STATEMENT OF SIGNIFICANCE: Some magnetic nanoparticle-based nanocarriers loaded with drugs were evaluated in patients and did not produce convincing results, leading to termination of clinical development in phase II/III. An alternative strategy for drug delivery systems based on SPIONs is the conjugation of these systems with targeting segments such as transferrin, antibodies, aptamers, hyaluronic acid, folate, and targeting peptides. These targeting moieties can be recognized by specific integrin/receptors that are overexpressed specifically on the tumor cell surface, resulting in minimizing dosage and reducing off-target effects. This review focuses on magnetic nanoparticle-based nonviral drug delivery systems with targeting moieties to deliver anticancer drugs, with an aim to provide suggestions on the development of SPIONs through discussion.

Diselenium-containing ultrathin polymer nanocapsules for highly efficient targeted drug delivery and combined anticancer effect.

The combination of selenium and pillararenes to prepare selenium-containing pillararene-based biomaterials is of great significance for the development of biomedicine. Herein, using a covalent self-assembly strategy, we successfully developed new diselenium-containing ultrathin polymer nanocapsules based on lateral cross-linked pillararenes. The new system exhibited a very potent anticancer effect; additionally, the incorporation of the cleavable redox diselenium bond into the polymer nanocapsules provided a smart nanocarrier for drug delivery. Moreover, the polymer nanocapsules were developed for anticancer drug targeting delivery by loading an anticancer drug and introducing the tumor-penetrating peptide RGD through the host-guest interaction strategy. The targeting DOX-loaded diselenium-containing polymer nanocapsules exhibited enhanced stability, self-anticancer effect, targeted delivery and controlled drug release, resulting in effective combined inhibition of tumor progression.

Repeated evolution of cytochrome P450-mediated spiroketal steroid biosynthesis in plants.

Diosgenin is a spiroketal steroidal natural product extracted from plants and used as the single most important precursor for the world steroid hormone industry. The sporadic occurrences of diosgenin in distantly related plants imply possible independent biosynthetic origins. The characteristic 5,6-spiroketal moiety in diosgenin is reminiscent of the spiroketal moiety present in anthelmintic avermectins isolated from actinomycete bacteria. How plants gained the ability to biosynthesize spiroketal natural products is unknown. Here, we report the diosgenin-biosynthetic pathways in himalayan paris (Paris polyphylla), a monocot medicinal plant with hemostatic and antibacterial properties, and fenugreek (Trigonella foenum-graecum), an eudicot culinary herb plant commonly used as a galactagogue. Both plants have independently recruited pairs of cytochromes P450 that catalyze oxidative 5,6-spiroketalization of cholesterol to produce diosgenin, with evolutionary progenitors traced to conserved phytohormone metabolism. This study paves the way for engineering the production of diosgenin and derived analogs in heterologous hosts.

Strategical isolation of efficient chicken feather-degrading bacterial strains from tea plantation soil sample.

Chicken feather waste is generally insufficiently utilized despite its high content of protein, constituting an environmental issue. Biodegradation of the waste with enabling microbes provides an advantageous option among the available solutions. In this study, an efficient whole feather-degrading strain was strategically isolated from a soil sample taken from a local tea plantation that has little or nothing to do with feathers. The strain was identified as Bacillus thuringiensis (designated as FDB-10) according to the cloned complete 16S rRNA sequence. The FDB-10 could efficiently degrade briefly heat-treated whole feather (102 °C, 5 min; up to 90% of a maximum concentration of 30 g/L) in a salt medium supplemented with 0.1 g/L yeast extract within 24 h (37 °C, 150 rpm). Addition of carbon sources (glycerol, glucose, starch, Tween 20, Tween 80, 1.25 g/L as glycerol) to the fermentation medium could improve the degradation. However, significant inhibition could be observed when the added carbon source reached the amount usually adopted in the investigation of carbon source preference (1%). Nitrogen source (NH4Cl, (NH4)2SO4, peptone) adversely influenced the performance of the strain. When the molar concentrations of NH4+ were equal for the two salt, the inhibitory effect on degradation of whole feathers was similar. Entirely different from other reported feather-degrading strains showing a preference to melanin-free feather substrates, the strain isolated in this study could degrade melanin-containing feather equally efficiently, and higher protease activity could be detected in the digest mix. As a plus, the strain could degrade feathers in rice wash produced in daily cooking, indicating its potential use in the simultaneous treatment of rice cooker wastewater produced by a rice processing plant. All these results imply that the FDB-10 is a strain with great potential in the biodegradation of feather waste.

The molecular structure of plant sporopollenin.

Sporopollenin is a ubiquitous and extremely chemically inert biopolymer that constitutes the outer wall of all land-plant spores and pollen grains1. Sporopollenin protects the vulnerable plant gametes against a wide range of environmental assaults, and is considered a prerequisite for the migration of early plants onto land2. Despite its importance, the chemical structure of plant sporopollenin has remained elusive1. Using a newly developed thioacidolysis degradative method together with state-of-the-art solid-state NMR techniques, we determined the detailed molecular structure of pine sporopollenin. We show that pine sporopollenin is primarily composed of aliphatic-polyketide-derived polyvinyl alcohol units and 7-O-p-coumaroylated C16 aliphatic units, crosslinked through a distinctive dioxane moiety featuring an acetal. Naringenin was also identified as a minor component of pine sporopollenin. This discovery answers the long-standing question about the chemical make-up of plant sporopollenin, laying the foundation for future investigations of sporopollenin biosynthesis and for the design of new biomimetic polymers with desirable inert properties.

[Methods to establishment of serum induced syndrome of liver-depression and spleen-deficiency cell model].

To explore the method of establishing a cell model of traditional Chinese medicine (TCM) syndromes, HepG2 cells were induced by human serum of liver-depression and spleen-deficiency syndrome(LDSDS) to establish a cell model of LDSDS in this research. The concentration of cells, the content of human serum in culture medium and the growth characteristics of model-cell (cell growth curve, the survival rate and apparent morphology were investigated by MTT assay and microscopy. Evaluation of syndrome cell model: metabolomics was used to analyze the human serum of normal individuals and patients with LDSDS, and cell models induced by these serums, respectively. We obtained the difference metabolites from serums and cell models of LDSDS, respectively; then compared the biomarkers from two metabolomics and their metabolic pathways, to verify that the reliability and applicability of the model. Metabolomics data were collected by UPLC-Q-TOF-MS, and then all data were analyzed by multivariate statistical (PCA，OPLS-DA). The results showed that, model cells have the characteristics of normal growth, slow proliferation and stable morphological structure inducted by 10% serum of LDSD in 24-72 h. There were the same 19 difference metabolites which from the human serum of normal individuals and patients with LDSDS, and cell models induced by these serums; including 9 metabolic pathways that play an important role in maintaining normal physiological activities of the human body, such as lipids, amino acids, nucleotides, and energy metabolism etc. It was shown that the established syndrome cell model can reflect the biological basis of LDSDS to some extent. This research provides a reference method for the establishment of TCM syndrome cell model.

Complete Pathway Elucidation and Heterologous Reconstitution of Rhodiola Salidroside Biosynthesis.

Salidroside is a bioactive tyrosine-derived phenolic natural product found in medicinal plants under the Rhodiola genus. In addition to their anti-fatigue and anti-anoxia roles in traditional medicine, Rhodiola total extract and salidroside have also displayed medicinal properties as anti-cardiovascular diseases and anti-cancer agents. The resulting surge in global demand of Rhodiola plants and salidroside has driven some species close to extinction. Here, we report the full elucidation of the Rhodiola salidroside biosynthetic pathway utilizing the first comprehensive transcriptomics and metabolomics datasets for Rhodiola rosea. Unlike the previously proposed pathway involving separate decarboxylation and deamination enzymatic steps from tyrosine to the key intermediate 4-hydroxyphenylacetaldehyde (4-HPAA), Rhodiola contains a pyridoxal phosphate-dependent 4-HPAA synthase that directly converts tyrosine to 4-HPAA. We further identified genes encoding the subsequent 4-HPAA reductase and tyrosol:UDP-glucose 8-O-glucosyltransferase, respectively, to complete salidroside biosynthesis in Rhodiola. We show that heterologous production of salidroside can be achieved in the yeast Saccharomyces cerevisiae as well as the plant Nicotiana benthamiana through transgenic expression of Rhodiola salidroside biosynthetic genes. This study provides new tools for engineering sustainable production of salidroside in heterologous hosts.

[Rapid analysis on phenolic compounds in Rheum palmatum based on UPLC-Q-TOF/MSE combined with diagnostic ions filter].

Diagnostic ions filter method was used to rapidly detect and identify the phenolic compounds in Rheum palmatum based on ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MSE). The representative authentic standards of phenolic compounds, including gallic acid, (+)-catechin, (－)-epicatechin, (－)-epicatechin-3-O-gallate and procyanidin B2, were subjected to analysis by UPLC-Q-TOF/MSE system with negative ion mode. Fragmentation patterns of each standard were summarized based on assigned fragment ions. The prominent product ions were selected as diagnostic ions. Subsequently, diagnostic ions filter was employed to rapidly recognize analogous skeletons. Combined with retention time, accurate mass, characteristic fragments and previous literature data, the structures of the filtered compounds were identified or tentatively characterized. A total 63 phenolic compounds (36 phenolic acid derivatives, 8 flavonoid derivatives and 19 tennis derivatives) in R. palmatum were identified, including 6 potential new compounds. The method of diagnostic ions filter could rapidly detect and identify phenolic compounds in R. palmatum This study provides a method for rapid detection of phenolic compounds in R. palmatum and is expected to complete the material basis of rhubarb.

Demystifying traditional herbal medicine with modern approach.

Plants have long been recognized for their therapeutic properties. For centuries, indigenous cultures around the world have used traditional herbal medicine to treat a myriad of maladies. By contrast, the rise of the modern pharmaceutical industry in the past century has been based on exploiting individual active compounds with precise modes of action. This surge has yielded highly effective drugs that are widely used in the clinic, including many plant natural products and analogues derived from these products, but has fallen short of delivering effective cures for complex human diseases with complicated causes, such as cancer, diabetes, autoimmune disorders and degenerative diseases. While the plant kingdom continues to serve as an important source for chemical entities supporting drug discovery, the rich traditions of herbal medicine developed by trial and error on human subjects over thousands of years contain invaluable biomedical information just waiting to be uncovered using modern scientific approaches. Here we provide an evolutionary and historical perspective on why plants are of particular significance as medicines for humans. We highlight several plant natural products that are either in the clinic or currently under active research and clinical development, with particular emphasis on their mechanisms of action. Recent efforts in developing modern multi-herb prescriptions through rigorous molecular-level investigations and standardized clinical trials are also discussed. Emerging technologies, such as genomics and synthetic biology, are enabling new ways for discovering and utilizing the medicinal properties of plants. We are entering an exciting era where the ancient wisdom distilled into the world's traditional herbal medicines can be reinterpreted and exploited through the lens of modern science.

An integrated strategy by using target tissue metabolomics biomarkers as pharmacodynamic surrogate indices to screen antipyretic components of Qingkaikling injection.

Traditional Chinese medicine (TCM) treatment can be valuable therapeutic strategies. However, the active components and action mechanisms that account for its therapeutic effects remain elusive. Based on the hypothesis that the components of a formula which exert effect would be measurable in target tissue, a target tissue metabolomics-based strategy was proposed for screening of antipyretic components in Qingkaikling injection (QKLI). First, we detected the components of QKLI which could reach its target tissue (hypothalamus) by determining the hypothalamus microdialysate and discovered that only baicalin and geniposide could be detected. Then, by conducting hypothalamus metabolomics studies, 14 metabolites were screened as the potential biomarkers that related to the antipyretic mechanisms of QKLI and were used as its pharmacodynamic surrogate indices. Subsequently, the dynamic concentration of baicalin and geniposide in hypothalamus microdialysates and biomarkers in hypothalamus were measured and correlated with each other. The results indicated that only baicalin shown a good correlation with these biomarkers. Finally, a network pharmacology approach was established to validate the antipyretic activity of baicalin and the results elucidated its antipyretic mechanisms as well. The integrated strategy proposed here provided a powerful means for identifying active components and mechanisms contributing to pharmacological effects of TCM.

Applying characteristic fragment filtering for rapid detection and identification of ingredients in rhubarb by HPLC coupled with linear ion trap-Orbitrap mass spectrometry.

Chemical characteristic fragment filtering in MSn chromatograms was proposed to detect and identify the components in rhubarb rapidly using high-performance liquid chromatography coupled with linear ion trap-Orbitrap mass spectrometry. Characteristic fragments consist of diagnostic ions and neutral loss fragments. Characteristic fragment filtering is a postacquisition data mining method for the targeted screening of groups with specific structures, including three steps: first, in order to comprehensively summarize characteristic fragments for global identification of the ingredients in rhubarb, representative authentic standards of dominant chemical categories contained in rhubarb were chosen, from which fragmentation rules and a characteristic fragments schedule were proposed; second, characteristic fragment filtering was used to rapidly recognize analogous skeletons; finally, combined with retention time, accurate mass, characteristic fragments, and previous literature, the structures of the filtered compounds were identified or tentatively characterized. As a result, a total of 271 compounds were detected and identified in rhubarb, including 34 anthraquinones, 83 anthrones, 46 tannins, 17 stilbenes, 24 phenylbutanones, 26 acylglucosides, 26 chromones, and 15 other compounds, 69 of which are potentially new compounds. The proposed characteristic fragment filtering strategy would be a reference for the large-scale detection and identification of the ingredients of herbal medicines.

Characterization of the potential new phthalides in Ligusticum chuanxiong Hort. using ultra-performance liquid chromatography coupled with quadrupole time of flight tandem mass spectrometry.

The characterization of unknown compounds is still a great challenge currently. A strategy for deduction of potential new phthalides through the characterization of isomers based on ultra-performance liquid chromatography coupled with quadrupole time of flight tandem mass spectrometry was proposed here to characterize the unknown compounds of Ligusticum chuanxiong Hort. (Chuanxiong). This proposed strategy consisted of four steps: (1) the high resolution MS data was collected, and the peaks were screened preliminarily by UNIFITM platform based on the in-house database; (2) the fragmentation patterns and the characteristic fragments were summarized based on the representative standards; (3) the target compounds were identified based on the fragmentation rules, standards comparison and false positive exclusion; (4) the unknown components were structurally characterized according to the accurate mass and fragmentation patterns analysis. This strategy was successfully applied to the identification and deduction of phthalides in Chuanxiong. A total of 81 phthalides were detected. Fifty-five known phthalides were identified, and 26 potential new phthalides were characterized. This research enriched the material basis of Chuanxiong, and provided a liquid chromatography tandem mass spectrometry-oriented method for the discovery of the potential new compounds.

Plasma metabolomics combined with lipidomics profiling reveals the potential antipyretic mechanisms of Qingkailing injection in a rat model.

Qingkailing injection (QKLI) has a notable antipyretic effect and is widely used in China as a clinical emergency medicine. To elucidate the pharmacological action thoroughly, following the investigation of the urine metabolome and hypothalamus metabolome, plasma metabolomics combined with lipidomics profiling of the QKLI antipyretic effect in a rat model is described in this paper. Compared with pure metabolomics profiling, this non-targeted plasma metabolomics combined with lipidomics profiling based on ultra-performance liquid chromatography-coupled with quadrupole time-of-flight mass spectrometry (UPLC Q-TOF/MS) could be used for a large-scale detection of features in plasma samples. The results showed that 15 metabolites at the 1 h time point and 19 metabolites at the 2 h time point after QKLI administration were associated with the antipyretic effect of QKLI, including amino acid, phosphatidylcholine and lysophosphatidylcholine. The metabolism pathway analysis revealed that the potential biomarkers, which were important for the antipyretic mechanism of QKLI, were closely responsible for correcting the perturbed pathways of amino acid metabolism and lipid metabolism. In conclusion, the use of complementary UPLC Q-TOF/MS based metabolomics and lipidomics allows for the discovery of new potential plasma biomarkers in the QKLI antipyretic process and the associated pathways, and aided in advancing the understanding of the holism and synergism of the Chinese drug.

Identification of chemical constituents in traditional Chinese medicine formula using HPLC coupled with linear ion trap-Orbitrap MS from high doses of medicinal materials to equivalent doses of formula: Study on Xiang-Sha-Liu-Jun-Zi-Jia-Jian granules.

High-resolution mass spectrometry has been a powerful tool for the research of chemical constituents in traditional Chinese medicine (TCM) formulas. However, the chromatographic peaks were difficult to discriminate clearly in data collection or analysis because of the complexity and the greatly different content of the constituents in TCM formula, which increased the difficulty of identification. In this study, a high-performance liquid chromatography coupled with linear ion trap-Orbitrap mass spectrometry based strategy focused on the comprehensive identification of TCM formula constituents was developed. Identification was carried out from a high dose of medicinal materials to equivalent dose of formula. Meanwhile, combined with mass spectrometry data, chromatographic behaviors, reference standards and previous reports, the identification of constituents in Xiang-Sha-Liu-Jun-Zi-Jia-Jian granules was described. 169 compounds were unambiguously or tentatively characterized, mainly including flavonoids, alkaloids, triterpenic acids, triterpene saponins, lactones, sesquiterpenoids and some other compounds. Among them, 11 compounds were unambiguously confirmed by comparing with reference standards. These results demonstrated that the method was effective and reliable for comprehensive identification of constituents of Xiang-Sha-Liu-Jun-Zi-Jia-Jian granules extracts and reveal the material basis of its therapeutic effects. This strategy might propose a research idea for the characterization of multi-constituents in TCM formula.